2018 (n = 4104) .
Characteristics . | Round 1, 2018 (n = 4104) . | Round 2, 2019 (n = 3906) . |
---|---|---|
Main source of drinking water, n (%) | ||
Piped water into dwellings | 473 (11.53) | 412 (10.55) |
Piped water into yard/plot | 1824 (44.44) | 1318 (33.74) |
Public tap/standpipe | 1660 (40.45) | 1865 (47.75) |
Tube well/borehole | 5 (0.12) | 7 (0.18) |
Bottled water | 93 (2.27) | 92 (2.36) |
Tanker trucks | 43 (1.05) | 212 (5.43) |
Purifiers (electric) | 6 (0.15) | 0 (0.0) |
Drinking water supply availability, n (%) | ||
Continuous | … | 233 (5.97) |
Once a day | … | 405 (10.37) |
More than once a day | … | 3223 (82.51) |
More than once a week, but not daily | … | 45 (1.15) |
Time taken to fetch water every day, min | ||
Mean (SD) | 21.52 (13.15) | 21.97 (12.46) |
Median (IQR) | 20 (15–30) | 20 (15–30) |
Who fetches water most commonly?, n (%) | ||
Adult women | 2506 (61.06) | 1770 (45.31) |
Adult men | 268 (6.53) | 307 (7.86) |
Female child <15 y | 14 (0.34) | 19 (0.49) |
Male child <15 y | 6 (0.15) | 5 (0.13) |
No response or not applicable | 1310 (31.92) | 1805 (46.21) |
Any water treatment done at the household level, n (%) | ||
Yes | 563 (13.72) | 377 (9.65) |
No | 3538 (86.21) | 3527 (90.30) |
Do not know | 3 (0.07) | 2 (0.05) |
Specific practices for water treatment, n (%) | ||
Boil | … | 65 (1.66) |
Chlorine tablets or bleaching powder | … | 6 (0.15) |
Strained through a cloth | … | 2 (0.05) |
Water filter | … | 266 (6.81) |
Electric purifier | … | 36 (0.92) |
a This question was not included in the first-year survey.
Table 3 summarizes the sanitation facilities that were available to the study population. Over 95% of the households reported having access to some form of improved, flush, or pour-flush latrine. In the 2 rounds, a very small proportion reported using open defecation or hanging toilets. A majority of the sanitation facilities were shared between a median of 6 (IQR, 2–10) households. More households reported accessing sanitation facilities that were open to the general public in round 1 (12.04%) than in round 2 (4.84%). However, despite the almost universal coverage of the study population with improved and safe sanitation facilities, 14.3% of the households reported risky disposal of children’s stools in the community in round 1. In round 2, this proportion had reduced to 8.3%.
Sanitation Facilities Access, Use, and Practices in 2 Survey Rounds During 2018–2019
Characteristics . | Round 1, 2018 (n = 4104) . | Round 2, 2019 (n = 3906) . |
---|---|---|
Type of toilet facility used by household members, n (%) | ||
Flush/pour flush to piped sewer system | 1978 (48.20) | 1617 (41.40) |
Flush/pour flush to septic tank | 2051 (49.98) | 2168 (55.50) |
Flush/pour flush to pit latrine | 44 (1.07) | 106 (2.71) |
Flush/pour flush to an unknown place/do not know | 13 (0.32) | 4 (0.10) |
Pit latrine with slab | 1 (0.02) | 0 (0.0) |
Hanging toilet | 2 (0.05) | 10 (0.26) |
No facilities/open | 15 (0.37) | 0 (0.0) |
Others | 0 (0.0) | 1 (0.01) |
Toilet facilities shared with other households, n (%) | ||
Yes | 3278 (79.87) | 3020 (77.32) |
No | 811 (19.76) | 886 (22.68) |
No response | 15 (0.37) | 0 (0.0) |
Number of households sharing a toilet facility | ||
Mean (SD) | 8.04 (8.68) | 7.13 (7.05) |
Median (IQR) | 6 (2–10) | 6 (2–10) |
Use of shared toilet facilities by general public, n (%) | ||
Yes | 494 (12.04) | 189 (4.84) |
No | 2784 (67.84) | 2831 (72.48) |
Facilities not shared/not accessible by public | 826 (20.13) | 886 (22.68) |
Methods of disposal of children’s stools, n (%) | ||
Children use toilets | 2994 (72.95) | 3051 (78.11) |
Stool rinsed into toilets | 523 (12.74) | 530 (13.57) |
Stool rinsed into drains/ditches | 296 (7.21) | 216 (5.53) |
Stool disposed with garbage | 256 (6.24) | 102 (2.61) |
Buried | 1 (0.02) | 0 (0.0) |
Stool disposed in the open environment | 28 (0.68) | 7 (0.18) |
Others | 6 (0.15) | 0 (0.0) |
Characteristics . | Round 1, 2018 (n = 4104) . | Round 2, 2019 (n = 3906) . |
---|---|---|
Type of toilet facility used by household members, n (%) | ||
Flush/pour flush to piped sewer system | 1978 (48.20) | 1617 (41.40) |
Flush/pour flush to septic tank | 2051 (49.98) | 2168 (55.50) |
Flush/pour flush to pit latrine | 44 (1.07) | 106 (2.71) |
Flush/pour flush to an unknown place/do not know | 13 (0.32) | 4 (0.10) |
Pit latrine with slab | 1 (0.02) | 0 (0.0) |
Hanging toilet | 2 (0.05) | 10 (0.26) |
No facilities/open | 15 (0.37) | 0 (0.0) |
Others | 0 (0.0) | 1 (0.01) |
Toilet facilities shared with other households, n (%) | ||
Yes | 3278 (79.87) | 3020 (77.32) |
No | 811 (19.76) | 886 (22.68) |
No response | 15 (0.37) | 0 (0.0) |
Number of households sharing a toilet facility | ||
Mean (SD) | 8.04 (8.68) | 7.13 (7.05) |
Median (IQR) | 6 (2–10) | 6 (2–10) |
Use of shared toilet facilities by general public, n (%) | ||
Yes | 494 (12.04) | 189 (4.84) |
No | 2784 (67.84) | 2831 (72.48) |
Facilities not shared/not accessible by public | 826 (20.13) | 886 (22.68) |
Methods of disposal of children’s stools, n (%) | ||
Children use toilets | 2994 (72.95) | 3051 (78.11) |
Stool rinsed into toilets | 523 (12.74) | 530 (13.57) |
Stool rinsed into drains/ditches | 296 (7.21) | 216 (5.53) |
Stool disposed with garbage | 256 (6.24) | 102 (2.61) |
Buried | 1 (0.02) | 0 (0.0) |
Stool disposed in the open environment | 28 (0.68) | 7 (0.18) |
Others | 6 (0.15) | 0 (0.0) |
The reported food hygiene practices are summarized in Table 4 . A very high proportion of the respondents reported consuming ready-to-eat food from street vendors on a regular basis in both rounds. Over 41% of respondent households in round 1 and 47% in round 2 reported consuming such foods at a frequency greater than or equal to once a week. Similar proportions of the study population reported consuming breakfast or ice creams from such street vendors in both the rounds. However, over half of the respondents in both the rounds reported rarely or never eating uncooked foods, and almost all respondents reported washing such uncooked foods or peeling them before consumption.
Food Hygiene Practices Surveyed in 2 Survey Rounds During 2018–2019
Characteristics . | Round 1, 2018 (n = 4104) . | Round 2, 2019 (n = 3906) . |
---|---|---|
Frequency of buying ready to eat food from street vendors, n (%) | ||
Every day | 1029 (25.07) | 939 (24.04) |
Once a week | 770 (18.76) | 907 (23.22) |
Once a fortnight | 147 (3.58) | 267 (6.84) |
Once a month | 202 (4.92) | 354 (9.06) |
Rarely | 1297 (31.60) | 1298 (33.23) |
Never | 659 (16.06) | 141 (3.61) |
Frequency of eating breakfast from street vendors, n (%) | ||
Every day | 1343 (32.72) | 1254 (32.10) |
Once a week | 635 (15.47) | 744 (19.05) |
Once a fortnight | 77 (1.88) | 173 (4.43) |
Once a month | 65 (1.58) | 205 (5.25) |
Rarely | 1325 (32.29) | 1446 (37.02) |
Never | 659 (16.06) | 84 (2.15) |
Frequency of eating uncooked food, n (%) | ||
Every day | 821 (20.00) | 481 (12.31) |
Once a week | 668 (16.28) | 587 (15.03) |
Once a fortnight | 79 (1.92) | 193 (4.94) |
Once a month | 118 (2.88) | 111 (2.84) |
Rarely | 1367 (33.31) | 1835 (46.98) |
Never | 1051 (25.61) | 699 (17.90) |
Washing of uncooked food before eating, n (%) | ||
Yes | 3836 (93.47) | 3821 (97.82) |
No | 268 (6.53) | 85 (2.18) |
Peeling skin of uncooked food before eating, n (%) | ||
Yes | 3078 (75.00) | 3521 (90.14) |
No | 1026 (25.00) | 385 (9.86) |
Frequency of consuming ice cream from street vendors, n (%) | ||
Every day | 1238 (30.17) | 1337 (34.23) |
Once a week | 1077 (26.24) | 1133 (29.01) |
Once a fortnight | 178 (4.34) | 257 (6.58) |
Once a month | 282 (6.87) | 236 (6.04) |
Rarely | 1176 (28.65) | 908 (23.25) |
Never | 153 (3.73) | 35 (0.90) |
Characteristics . | Round 1, 2018 (n = 4104) . | Round 2, 2019 (n = 3906) . |
---|---|---|
Frequency of buying ready to eat food from street vendors, n (%) | ||
Every day | 1029 (25.07) | 939 (24.04) |
Once a week | 770 (18.76) | 907 (23.22) |
Once a fortnight | 147 (3.58) | 267 (6.84) |
Once a month | 202 (4.92) | 354 (9.06) |
Rarely | 1297 (31.60) | 1298 (33.23) |
Never | 659 (16.06) | 141 (3.61) |
Frequency of eating breakfast from street vendors, n (%) | ||
Every day | 1343 (32.72) | 1254 (32.10) |
Once a week | 635 (15.47) | 744 (19.05) |
Once a fortnight | 77 (1.88) | 173 (4.43) |
Once a month | 65 (1.58) | 205 (5.25) |
Rarely | 1325 (32.29) | 1446 (37.02) |
Never | 659 (16.06) | 84 (2.15) |
Frequency of eating uncooked food, n (%) | ||
Every day | 821 (20.00) | 481 (12.31) |
Once a week | 668 (16.28) | 587 (15.03) |
Once a fortnight | 79 (1.92) | 193 (4.94) |
Once a month | 118 (2.88) | 111 (2.84) |
Rarely | 1367 (33.31) | 1835 (46.98) |
Never | 1051 (25.61) | 699 (17.90) |
Washing of uncooked food before eating, n (%) | ||
Yes | 3836 (93.47) | 3821 (97.82) |
No | 268 (6.53) | 85 (2.18) |
Peeling skin of uncooked food before eating, n (%) | ||
Yes | 3078 (75.00) | 3521 (90.14) |
No | 1026 (25.00) | 385 (9.86) |
Frequency of consuming ice cream from street vendors, n (%) | ||
Every day | 1238 (30.17) | 1337 (34.23) |
Once a week | 1077 (26.24) | 1133 (29.01) |
Once a fortnight | 178 (4.34) | 257 (6.58) |
Once a month | 282 (6.87) | 236 (6.04) |
Rarely | 1176 (28.65) | 908 (23.25) |
Never | 153 (3.73) | 35 (0.90) |
A composite WASH score was developed using the reported practices in the 3 domains of water, sanitation, and food hygiene, as outlined in Table 5 . Presence of any of the factors mentioned within each of the 3 categories would accrue a point. The differences in the WASH score across the study households in the 2 rounds are summarized in Figure 1 and the distribution of the WASH score in the 2 rounds is provided in Supplementary Table 1 . None of the households reported achieving the lowest possible score of 0 in either of the 2 rounds. Only about a third of the households noted an improvement in the WASH score in round 2, with a third noting a reduction in WASH score, and a third showing no change. As noted in Table 5 , the maximum possible score on this scale was 10. No households reported receiving the highest WASH score in round 1 and only 1 household reported this score in round 2.
Indicators of Water, Sanitation and Hygiene Practices Used to Develop Composite WASH Score
Drinking Water Score . | Sanitation Score . | Food Hygiene Score . |
---|---|---|
Improved source of drinking water | Use of an improved toilet facility | Washing of uncooked food items before consumption |
Toilet is not shared between multiple households | Peeling of skin of uncooked food items before consumption | |
Safe treatment of drinking water at household level | Toilet is not shared with the general public | Frequent (once a week or more) consumption of street food |
Stool of children is disposed safely by household | Frequent (once a week or more) consumption of ice-cream from street vendors | |
Possible score: 0 to 2 | Possible score: 0 to 4 | Possible score: 0 to 4 |
Drinking Water Score . | Sanitation Score . | Food Hygiene Score . |
---|---|---|
Improved source of drinking water | Use of an improved toilet facility | Washing of uncooked food items before consumption |
Toilet is not shared between multiple households | Peeling of skin of uncooked food items before consumption | |
Safe treatment of drinking water at household level | Toilet is not shared with the general public | Frequent (once a week or more) consumption of street food |
Stool of children is disposed safely by household | Frequent (once a week or more) consumption of ice-cream from street vendors | |
Possible score: 0 to 2 | Possible score: 0 to 4 | Possible score: 0 to 4 |
Distribution of water, sanitation, and hygiene (WASH) scores in round 1 (2018) and round 2 (2019) surveys.
Unadjusted simple linear regression indicated that the baseline family size, completed years of education, monthly income, housing type, presence of a separate kitchen in the house, location of cooking, cooking methods used, minutes spent fetching water every day, and number of households sharing a toilet were significantly associated with the WASH score ( Table 6 ).
Results of Univariable Linear Regression Showing Unadjusted Regression Coefficients for Different Factors
Factors . | Unadjusted Regression Coefficient (95% CI) . | Value . |
---|---|---|
Family size | 0.036 (.011 to .061) | .005 |
Completed years of education | −0.033 (−.046 to −.02) | <.001 |
Monthly Income, per 10 000 | −0.046 (−.121 to .029) | .231 |
Family type | ||
Nuclear | Ref | |
Extended or 3-generations | −0.068 (−.185 to .048) | .25 |
Joint | 0.153 (.052 to .255) | .003 |
House type | ||
Pucca house | Ref | |
Mixed Kutcha-Pucca house | 0.034 (−.052 to .120) | .435 |
Kutcha house | −0.283 (−.626 to .059) | .105 |
Presence of separate kitchen in house | 0.105 (.021 to .189) | .015 |
Location of cooking | ||
Inside the house | Ref | |
Separate kitchen | −0.079 (−.166 to .008) | .074 |
Outside the kitchen area | 0.267 (.108 to .425) | .001 |
Both inside and outside house | −0.501 (−.908 to −.094) | .016 |
Cooking methods used | ||
Kerosene | Ref | |
Gas | −0.248 (−.342 to −.155) | <.001 |
Electricity | −0.063 (−.547 to .420) | .798 |
Firewood/animal waste/crop residue/saw dust | 0.05 (−.107 to .207) | .532 |
Coal | 0.047 (−.405 to .499) | .84 |
Cattle ownership | −0.012 (−.296 to .271) | .932 |
Poultry ownership | 0.258 (.040 to .477) | .02 |
Minutes spent in fetching water every day | 0.008 (.004 to .013) | <.001 |
Number of households sharing a toilet | 0.022 (.017 to .026) | <.001 |
Type of toilet facility accessed by household | ||
Piped sewer system | Ref | |
Septic tank | 0.401 (.319 to .483) | <.001 |
Pit latrine | 0.00005 (−.388 to .388) | .99 |
Improved pit latrine | 1.646 (.934 to 2.358) | <.001 |
Hanging toilet | −0.354 (−2.091 to 1.384) | .69 |
No facilities/field/open defecation | 0.289 (−.37 to .948) | .39 |
Public can access the toilet facilities used by the household | 0.017 (.006 to .027) | .001 |
Factors . | Unadjusted Regression Coefficient (95% CI) . | Value . |
---|---|---|
Family size | 0.036 (.011 to .061) | .005 |
Completed years of education | −0.033 (−.046 to −.02) | <.001 |
Monthly Income, per 10 000 | −0.046 (−.121 to .029) | .231 |
Family type | ||
Nuclear | Ref | |
Extended or 3-generations | −0.068 (−.185 to .048) | .25 |
Joint | 0.153 (.052 to .255) | .003 |
House type | ||
Pucca house | Ref | |
Mixed Kutcha-Pucca house | 0.034 (−.052 to .120) | .435 |
Kutcha house | −0.283 (−.626 to .059) | .105 |
Presence of separate kitchen in house | 0.105 (.021 to .189) | .015 |
Location of cooking | ||
Inside the house | Ref | |
Separate kitchen | −0.079 (−.166 to .008) | .074 |
Outside the kitchen area | 0.267 (.108 to .425) | .001 |
Both inside and outside house | −0.501 (−.908 to −.094) | .016 |
Cooking methods used | ||
Kerosene | Ref | |
Gas | −0.248 (−.342 to −.155) | <.001 |
Electricity | −0.063 (−.547 to .420) | .798 |
Firewood/animal waste/crop residue/saw dust | 0.05 (−.107 to .207) | .532 |
Coal | 0.047 (−.405 to .499) | .84 |
Cattle ownership | −0.012 (−.296 to .271) | .932 |
Poultry ownership | 0.258 (.040 to .477) | .02 |
Minutes spent in fetching water every day | 0.008 (.004 to .013) | <.001 |
Number of households sharing a toilet | 0.022 (.017 to .026) | <.001 |
Type of toilet facility accessed by household | ||
Piped sewer system | Ref | |
Septic tank | 0.401 (.319 to .483) | <.001 |
Pit latrine | 0.00005 (−.388 to .388) | .99 |
Improved pit latrine | 1.646 (.934 to 2.358) | <.001 |
Hanging toilet | −0.354 (−2.091 to 1.384) | .69 |
No facilities/field/open defecation | 0.289 (−.37 to .948) | .39 |
Public can access the toilet facilities used by the household | 0.017 (.006 to .027) | .001 |
Abbreviation: CI, confidence interval; Ref, reference.
These variables were then systematically entered into a hierarchical multivariable linear regression model. In the first model, we included the key proximate factors associated with a lower WASH score: years of completed education, family size, number of households sharing a toilet facility, minutes spent in fetching water every day, and public access to toilet used by the household. In the second model, we further added the variables related to housing, including poultry rearing and presence of a separate kitchen. The f test for change in R 2 indicated that there was a significant change ( P = .043) from model 1 and model 2 was a better fit. We then added the variables of location of cooking and family type to construct model 3, but we observed that the change in R 2 was not statistically significant, indicating that model 2 is a better, more parsimonious fit than model 3. Table 7 provides the detailed information on each model. After adjusting for the years of completed education, family size, and public access to family’s toilet facilities, model 2 indicated that there was a significant improvement in WASH score when fewer households shared a toilet and less time was spent in collecting water. However, the model characteristics show a low R 2 value overall, which indicates that other explanatory factors, which were not observed as part of this study, could be associated with improved WASH scores in the households of urban slums in Kolkata.
Hierarchical Linear Regression Analysis of Factors Associated With WASH Score
Factor . | Model 1 . | . | Model 2 . | . | Model 3 . | . |
---|---|---|---|---|---|---|
. | β (95% CI) . | Value . | β (95% CI) . | Value . | β (95% CI) . | Value . |
Years of completed education | −0.022 (−.042 to −.002) | .033 | −0.018 (−.038 to .003) | .086 | −0.016 (−.037 to .005) | .129 |
Family size | 0.042 (.004 to .079) | .03 | 0.043 (.005 to .081) | .026 | 0.027 (−.018 to .072) | .241 |
Number of households sharing a toilet | 0.021 (.014 to .028) | <.001 | 0.02 (.013 to .027) | <.001 | 0.02 (.013 to .026) | <.001 |
Minutes spent in fetching water every day | 0.007 (.003 to .012) | .002 | 0.006 (.001 to .011) | .01 | 0.006 (.001 to .01) | .016 |
Public can access the toilet facilities used by the household | 0.006 (−.01 to .022) | .449 | 0.003 (−.013 to .019) | .733 | 0.003 (−.014 to .019) | .759 |
Poultry ownership | 0.272 (−.052 to .6) | .1 | 0.276 (−.047 to .6) | .094 | ||
Presence of separate kitchen in house | 0.143 (−.001 to .287) | .052 | 0.204 (.047 to .361) | .011 | ||
Location of cooking | 0.083 (−.007 to .173) | .071 | ||||
Family type | 0.051 (−.036 to .138) | .252 | ||||
0.05 | 0.054 | 0.057 | ||||
change | … | 0.004 | 0.003 | |||
value for change | … | 0.043 | 0.088 |
Factor . | Model 1 . | . | Model 2 . | . | Model 3 . | . |
---|---|---|---|---|---|---|
. | β (95% CI) . | Value . | β (95% CI) . | Value . | β (95% CI) . | Value . |
Years of completed education | −0.022 (−.042 to −.002) | .033 | −0.018 (−.038 to .003) | .086 | −0.016 (−.037 to .005) | .129 |
Family size | 0.042 (.004 to .079) | .03 | 0.043 (.005 to .081) | .026 | 0.027 (−.018 to .072) | .241 |
Number of households sharing a toilet | 0.021 (.014 to .028) | <.001 | 0.02 (.013 to .027) | <.001 | 0.02 (.013 to .026) | <.001 |
Minutes spent in fetching water every day | 0.007 (.003 to .012) | .002 | 0.006 (.001 to .011) | .01 | 0.006 (.001 to .01) | .016 |
Public can access the toilet facilities used by the household | 0.006 (−.01 to .022) | .449 | 0.003 (−.013 to .019) | .733 | 0.003 (−.014 to .019) | .759 |
Poultry ownership | 0.272 (−.052 to .6) | .1 | 0.276 (−.047 to .6) | .094 | ||
Presence of separate kitchen in house | 0.143 (−.001 to .287) | .052 | 0.204 (.047 to .361) | .011 | ||
Location of cooking | 0.083 (−.007 to .173) | .071 | ||||
Family type | 0.051 (−.036 to .138) | .252 | ||||
0.05 | 0.054 | 0.057 | ||||
change | … | 0.004 | 0.003 | |||
value for change | … | 0.043 | 0.088 |
Abbreviations: β, adjusted regression coefficient; 95% CI: 95% confidence interval.
Safe WASH practices prevent the transmission of water-borne infections in the community. Our findings mirror those of the National Family Health Survey-4 (NFHS-4), which indicated that 96% of families in the region had access to improved sources of drinking water. Notably, almost all families reported receiving intermittent water supply, and often, during scarcity of water—especially during summer months—local municipal authorities also deploy tanker trucks to meet water needs. A majority of the families believed that the water obtained is safe for drinking, and thus only about one-tenth of the households treated the water in any method before drinking. This is similar to a finding from a study conducted in urban slums of south Delhi [ 17 ], where a majority (75%) did not treat the water before drinking, as most of them thought the water was already clean and ready to drink. Almost all the households in the study area had been using a flush toilet, which is much higher than what was reported by NFHS-4. Again, it is worth mentioning that a large proportion had to share their toilet facility with many other local families.
Despite the high degree of coverage with adequate WASH facilities, we observe that most of the households failed to obtain a high WASH score on the composite summary score devised for this study. Although the generalizability of such a score may be in doubt, its internal reliability is assured because all families were measured on the same scale, using uniform methods for data elicitation. This low WASH score is indicative of the vulnerabilities in this area, especially affecting the health of children younger than 5 years. Previous surveys have found that slum-dwelling children younger than 5 years in Kolkata were 3.7 times more likely to suffer from diarrhea than any other age groups [ 18 ]. Cross-sectional surveys showed around 8% of children reporting diarrhea in the 2 weeks preceding the survey [ 19 ]. Another longitudinal survey showed that children younger than 2 years and between 2 and 5 years reported the highest levels of diarrhea as well as the specific diagnosis of cholera; the incidence of diarrhea in children younger than 2 years was over 270 cases per 1000 person-years, which was almost 5 times higher than the overall incidence rate of 58 cases per 1000 person-years [ 20 ]. As a result of these high levels of morbidity, there are long-term implications for children’s health. Surveys have noted high levels of stunting in children from urban slums of Kolkata. One estimate reported as many as 26% of children to be suffering from stunting [ 21 ]; another survey reported that 31% were underweight, and amongst them, 29% were stunted and 29% were wasted [ 22 ]. In yet another survey, 55% of children younger than 5 years were found to have anthropometric failure, with 48% reporting some form of additional comorbidity, the commonest of which were diarrhea (11%) and acute respiratory illness (9%) [ 23 ].
A considerable proportion of this burden of disease and ill health could be averted by improvement in the quality of drinking water along with access to improved sanitation and hygiene facilities in underserved locations. The introduction of clean water, well-designed sewerage systems, and adoption of hygienic practices, along with increased awareness in high-income countries, has led to a dramatic reduction of morbidity and mortality associated with fecal-oral transmission in these countries [ 5 , 24 ]. Also of interest is the fact that a large proportion of the study population do not undertake any method to purify drinking water. Although drinking water with sufficient residual chlorine is obtained from improved sources by these households, there remains the possibility that the water can be contaminated during storage for drinking, cooking, and other domestic use, as has been previously documented in similar urban slum settings [ 9 ].
The lower education level of the head of the household was significantly associated with poor WASH scores, indicating an improvement in WASH practices with increment in education. Similarly, a study conducted among households with children younger than 5 years of the Sugali Tribe of Chittoor, Andhra Pradesh, stated that parents’ higher levels of education were associated with improved WASH practices [ 25 ]. Another study conducted among slum-dwellers in Hyderabad, Andhra Pradesh reported that better caregivers’ knowledge was associated with higher odds of improved child hygiene practices [ 26 ]. Education level has a practical bearing on all the aspects of living, including hygiene, as this empowers one to accept and practice modern ideas, changing traditional beliefs, attitudes, practices, and augmenting WASH-related knowledge and perspective. However, the gaps between the need for, and access to, health care information and behavior modification still need to be considered in assessing the potential impact of education and awareness-oriented interventions [ 27 ].
Almost all of the study population was living in overcrowded conditions in these urban slums (bustees). Most of these families lived in rented structures with extended family members either in single or double rooms, sharing toilets and other necessary infrastructure. Historically, overcrowding has been associated with the spread of infectious diseases. Living in overcrowded households, that is an increase in family size, was significantly associated with unsatisfactory WASH practices in the current study. As reported in a WHO bulletin, a larger family incurs a disproportionately higher cost for practicing safe WASH habits like boiling water or adopting any other purification methods [ 28 ]. It is to be noted that overcrowded living situations impose a considerable strain on existing WASH facilities, and with a higher degree of usage and fewer breaks for maintenance, the infrastructure can weaken over time.
It must be noted that as an outcome of the Swachh Bharat Abhiyan, there has been major strides made in coverage of vulnerable areas with appropriate WASH services. Ensured access to a sanitary flush toilet has become a reality, although other essential infrastructure has failed to keep pace over the years, leading to poor drainage in the area, resulting in waterlogging during the monsoon months, along with fecal contamination of the piped water supply. This becomes an especial cause of concern because 1 in 10 families have reported disposing the stool of their children in such open environments, amplifying the threat of diseases that are fecal-oral transmitted. Further, the food safety risks of the area are significant, because a considerable number of children of these families reported frequent consumption of food, including breakfast, from street vendors. It needs to be emphasized that food prepared and sold by the local street vendors, especially in the slum areas, may propagate water-borne infections, owing to the lack of basic hygienic practices of the handlers while preparing and storing food.
There are multiple limitations to our enquiry. There is a chance of recall bias around the yearly data collection timeline. Information on hand hygiene, which is an important part of the WASH practices, was not collected directly in this survey. All data were self-reported, which increases the risk of social desirability bias. Further, there were no observational aspects of the study, which limits the possibility of verifying the reported practices. Thus, we cannot demonstrate the gap between the knowledge and practice in our current effort. In addition, because we depended on self-reported information, there was no scope to evaluate the cleanliness, hygiene, and appropriate use of sanitation facilities. Given the cultural mores around toilet use, qualitative participatory research methods could be employed in future efforts to study these specific attributes. Given the post hoc nature of the analysis and the limitations associated with such approaches, we lay more emphasis on the descriptive findings. Finally, we are conservative in interpreting the identified associations given these limitations, and our inability to ascribe temporality. However, the data for the present analysis were collected as part of a large, community-based surveillance for enteric fever, using well-trained data collectors and field staff, making it highly accurate and internally valid. The data were also scrutinized at multiple time points, ensuring high quality of the data as well as fidelity in the data collection processes. Further, this data will contribute to a deeper understanding of the epidemiology and burden of enteric fever in the community settings, as part of the larger NSSEFI study.
The current analysis finds that despite a high coverage of WASH services in the urban slums of Kolkata, there are gaps in the WASH practices in the population. Although there are limitations in a self-reported, cross-sectional, observational study design, we have noted significant gaps in behavioral patterns, which have remained in spite of the intense focus on improving WASH through the activities of Swachh Bharat Abhiyan in the country. The findings are indicative of the fact that, in addition to providing high-quality WASH services and facilities, there is a need to deploy awareness building and social mobilizing activities, which emphasize building community ownership of these programs. Considering that most of the WASH facilities are currently shared between multiple families, they are unlikely to be used in a safe and sustainable manner unless there is sustainable change in behavioral practices of the community, including contributing to the upkeep, maintenance, and upgrading of such community-owned facilities. More studies are needed to generate evidence useful for planning the most effective intervention to ensure appropriate hygiene practices in the community.
Supplementary materials are available at The Journal of Infectious Diseases online. Consisting of data provided by the authors to benefit the reader, the posted materials are not copyedited and are the sole responsibility of the authors, so questions or comments should be addressed to the corresponding author.
Acknowledgments . We are thankful to all the participants, project staff, and the community involved in the study. We are also thankful to the Central Coordinating team from Christian Medical College, Vellore for structuring and monitoring the data collection process.
Author contributions. S. K., P. C., J. S., and N. C. collected the demographic and clinical data. S. K. processed the data and conducted the statistical analysis. S. K., P. C., and T. P. drafted the manuscript. S. D. revised the final manuscript. All the authors have read and approved the final version. The corresponding author had full access to all the data in the study and had final responsibility for the decision to submit for publication.
Disclaimer . The funder of the study had no role in study design, data collection, data analysis, data interpretation, or writing of the report.
Financial support . The work was supported by the Bill and Melinda Gates Foundation (grant number INV-009497-OPP1159351) through the Christine Medical College, Vellore.
Supplement sponsorship. This supplement is sponsored by the Christian Medical College Vellore Association.
Potential conflicts of interest . All authors: No reported conflicts of interest. All authors have submitted the ICMJE Form for Disclosure of Potential Conflicts of Interest. Conflicts that the editors consider relevant to the content of the manuscript have been disclosed.
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Out of its population of 1.4 billion people, 35 million people lack access to safe water and 678 million people lack access to a safe toilet. Current challenges include extreme water stress, contaminated surface water and lack of access to piped water supply. The effects from climate change like droughts and rising sea levels also affect access to safe water and sanitation for families in India.
These factors, combined with the current initiative by the Government of India to provide tap water connections to every household by 2024, have created unprecedented urgency to implement effective solutions to increase access to safe water and sanitation.
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Water.org is heavily invested in India and strategically positioned to support the national push to end the country's water crisis. Our plan will leverage the large, unmet demand for water and sanitation financing among people living in poverty, India’s strong microfinance infrastructure and increasingly digitized lending environment, and the significant support from the Government of India to continue to remove the barriers between people in need and safe water and sanitation at home.
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Introduction Many less developed countries are struggling to provide universal access to safe sanitation, but in the past 5 years India has almost reached its target of eliminating open defaecation.
Objective To understand how the Indian government effected this sanitation transformation.
Methods The study employed interviews with 17 actors in the government’s ‘Clean India’ programme across the national capital and four states, which were analysed using a theory of change grounded in Behaviour Centred Design.
Results The Swachh Bharat Mission (Gramin) claims to have improved the coverage of toilets in rural India from 39% to over 95% of households between 2014 and mid-2019. From interviews with relevant actors we constructed a theory of change for the programme, in which high-level political support and disruptive leadership changed environments in districts, which led to psychological changes in district officials. This, in turn, led to changed behaviour for sanitation programming. The prime minister set an ambitious goal of eliminating open defaecation by the 150th birthday of Mahatma Gandhi (October 2019). This galvanised government bureaucracy, while early success in 100 flagship districts reduced the scepticism of government employees, a cadre of 500 young professionals placed in districts imparted new ideas and energy, social and mass media were used to inform and motivate the public, and new norms of ethical behaviour were demonstrated by leaders. As a result, district officials became emotionally involved in the programme and felt pride at their achievement in ridding villages of open defaecation.
Conclusions Though many challenges remain, governments seeking to achieve the sustainable development goal of universal access to safe sanitation can emulate the success of India’s Swachh Bharat Mission .
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https://doi.org/10.1136/bmjgh-2019-001892
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What is already known.
At least 47 countries are not on track to reach the sustainable development goal of universal access to safe sanitation by 2030 and some 0.6 billion people are still defecating in the open.
It is not clear how governments in low-income countries can be galvanised to act to resolve this pressing public health problem.
The experience of the Clean India programme suggests that countries can almost eliminate open defaecation.
The success of the programme was due to the following factors: setting of ambitious targets; use of modern communications strategies and monitoring technology; and provision of visible reward and recognition for employees.
Disruptive leadership is needed to create working environments where, sometimes jaded, civil servants are given an opportunity to make a difference.
Politicians who embrace the cause of sanitation may find that there are votes in toilets.
In a country as powerful as India—dreaming of space conquest, building roads, development—the fact that the priority of the entire Indian administration is to end open defaecation is extraordinary. (Interview No 14)
In 2007 readers of the BMJ chose the introduction of clean water and sewage disposal—'the sanitary revolution'—as the most important medical milestone since 1840. 1 Yet safe sanitation, essential for the prevention of infectious disease, for child growth, for gender equity and for human dignity, 2–10 has yet to reach a quarter of the world’s inhabitants. 11
Most countries of South East Asia and sub-Saharan Africa have struggled to improve their rates of toilet ownership. One country, however, has bucked this trend. Rural India, once responsible for 60% of the world’s open defaecators, 12 has over the past five years been transformed by a government-led programme named the Clean India Mission ( Swachh Bharat Mission (Gramin ) or SBM(G)). In 2014, fewer than four in 10 rural Indian households owned a toilet; by the middle of 2019, official figures put coverage at over 95%. 13 While it is hard to be certain of the actual numbers of toilets in such a vast and diverse country, it is clear that a major national transformation has taken place. This is an unlikely success story, both because Indian bureaucracy is not famous for its ability to create rapid change, and because ending open defaecation is a surprising target for a political campaign.
In this paper I aim to explain how this sanitation transformation happened. From interviews with national, state and district actors, I deduce a theory of change for the behaviour of government officials in districts and use this to draw lessons for other nations wishing to emulate the success of the Clean India campaign.
I interviewed 17 people chosen to represent a range of types of SBM(G) actors operating at national, state and district levels. Participants came from the capital and four states, with varied performance on toilet coverage. Of the interviewees, six were career civil servants, five were assigned to work in SBM(G), four were employed by partner organisations outside of government and two were academics. Of the total, four worked in national government, four at state level and six at district level. The aim was to have approximately four people in each type of position (some interviewees represented several types) and to continue interviewing until saturation was reached. 14 Fifteen of the 17 interviewees were Indian nationals and seven were female. Eleven interviews took place face-to-face and six over Skype; each lasted for 60–80 min. Interviews took place between May and July 2018. All of the people approached agreed to take part, although one delegated the interview to a colleague. I also drew on my experience as an occasional adviser on behaviour change to the Indian Ministry of Drinking Water and Sanitation (MDWS).
Interviewees were supplied with an information sheet about the study, were informed that their participation would be anonymous and were asked to sign a consent form. Identifying information was removed before transcription of interviews. Ethical approval was granted by the London School of Hygiene & Tropical Medicine (no 15261) and permission to conduct the study was granted by the MDWS.
No patients or members of the public were involved in the design, analysis or reporting of this study.
The interviews followed a structured format that included a request to describe the SBM programme, questions about administrative structures, decision-making systems, programme financing, technical issues and specific challenges. I also asked participants about their own circumstances and their motives for working in SBM(G). I followed COREQ guidelines for the design, analysis and reporting of qualitative research. 15
Interviews were conducted in English and recorded. Following transcription, I employed the steps of framework analysis—namely, (i) familiarisation, (ii) identifying a thematic framework, (iii) indexing, (iv) charting and (v) mapping and interpretation. 16 I employed the framework of Behaviour Centred Design (BCD) 17 to index and chart the data using NVivo version 11. 18 Figure 1 shows the generic BCD theory of change framework, depicting how interventions perturb the physical, biological and social environment of actors. These changes affect their psychology (at an executive, motivated or habitual level), and lead to changes in their behaviour. These behavioural changes, when compounded, lead to changes in the state of the world—for example, better toilet provision in India. All these changes take place in a particular geographical, political, economic and cultural context.
Generic Behaviour Centred Design theory of change.
Figure 2 shows the theory of change for SMB(G) constructed from an analysis of the interviews using the BCD framework. On the right are the observed changes to the state of the world (improved toilet coverage and use). Left of this, in grey, is the change in behaviour of district officials. In blue, are the psychological changes in these actors, brought about by changes in their operating environments, shown in green. The orange boxes are aspects of the intervention (ie, the activities of SBM(G) as led by the MDWS that caused this cascade of changes. Below I detail these changes, working from inputs to impact.
Theory of change for the Swachh Bharat Mission (Gramin) . MDWS, Ministry of Drinking Water and Sanitation; ODF, open defaecation free; SBM, Swachh Bharat Mission ; SDGs, sustainable development goals.
All interviewees ascribed the initial impetus for the Swachh Bharat Mission to the prime minister, Narendra Modi. In 2014, in his inaugural speech from the ramparts of the Red Fort in Delhi, Modi announced his plan for India to become free from open defection in 5 years, by 2 October 2019, in honour of the 150th anniversary of the birth of Mahatma Gandhi. The setting of this ‘big hairy audacious goal’ 19 made the need for radical changes in the government’s normal approach evident:
[We are in] mission mode delivery arrangement, where you have a sunset clause that you have to achieve in a given time period… …So, it's a very different working paradigm. (01) [In normal practice] the government might have said that we have 10 years to make India open defaecation free. So we might have done squat for 7 years and started working in the eighth year and then asked for a 5 year no-cost extension. (16)
Officials at all levels referred to the prime minister’s evident commitment to SBM:
The major change is that the political leadership came from the prime minister’s office… …to reach all the communities, civil societies, religious leaders, famous people of India, actors or people in sport. Involving everybody at the same time for a national cause under the lead of the PM. (14) …the fact that this is led by the prime minister – it is high on the agenda of every district collector. It has led to government functionaries being on their toes all the time and also reaching out to the people in a way that has never happened before. (12)
And the PM kept up pressure over the life of the programme:
So, it was not just a political announcement, but they backed it with serious attention over last 4 years, I think that’s quite dramatic. That’s one big game changer. (16) …the PM referred to Swachh Bharat in 35 of his 50 addresses to the nation on All India Radio between October 2014 and December 2018. (10)
Breaking with administrative norms to appoint staff on the basis of seniority, the prime minister sought out a technocrat to lead SBM(G) within the MDWS. The chosen secretary was a sanitation specialist and was also unusual in having worked both within the Indian administrative service, and outside of it in international bodies. This gave him the ability to navigate the government hierarchy, but also to see where it might be disrupted.
In terms of technical leadership, this time the people put in place to lead this campaign are people with global experience that have worked abroad. They are aware of what is happening in the world in terms of sanitation programming, successes and failures, so there is great openness to learning in this programme. (14)
The ministry team led a consultation exercise with states to gather lessons from a succession of previous sanitation campaigns, and to work out what it would cost to achieve the goal of an open defaecation free (ODF) India. The total bill was estimated at some US$20 billion over 5 years, or about US$4.00 per head of the population per year. 20 In addition, the team negotiated a loan of US$1.5 billion from the World Bank. 21 The ministry also asked the World Bank, UNICEF, WaterAid and other support agencies to augment their technical assistance to states, and asked philanthropic foundations (Tata Trusts and the Bill and Melinda Gates Foundation) to fund the recruitment of consultants to a project management cell:
The consultants have given a new dimension to the working of the ministry. Previously we were working like a government setup, but with the coming of this young blood… …they have given momentum to the programme. (02)
Unusually for India, the management cell was integrated within the ministry rather than sitting outside of it. The SBM(G) team thus had access to government communications channels and to the cabinet and prime minister:
What Modi has done is picked up these bureaucrats and said you have direct access to me… (09)
A further input that distinguished SBM(G) from standard Indian government programmes was a new strategy for communications. The team recognised early on that it was important to constantly communicate; downwards through the government hierarchy to programme actors, outwards to the population as a whole and to partners in the private and development sectors, and also, critically, back upwards to SBM’s political masters. Key influencers had to be kept on board:
We started delivering and then we started communicating that to the people who matter - like media, like the political masters, they need to feel that the thing is moving. Then there are academics, the international community, the sort of people who are influencers, who can spread the word. It's like chicken and egg: when you start doing well, then nothing succeeds like success, but it needs to be communicated… (11) So point is, if you want political leadership and you get it, then you have to nurture it… (14)
Mass media played a major role in keeping all these audiences supportive and involved:
…all of our communication has become much more world class. Indian government ads are [normally] easily identifiable from their look and feel -- they are dull, boring and preachy and nobody wants to watch them. But in this ministry the ads are very exciting and entertaining… (10) Honestly I don't know if promoting stuff on social media is leading to behaviour change in rural India, but it does make urban India more aware about what happening in rural areas, for that is also important. (12)
The theory of change depicts how these inputs (disruptive leadership, mobilisation of human and financial resources, new modes of communication) changed the operating environment for staff working in India’s more than 600 districts. The new leadership team in the ministry recognised that the first barrier to overcome was widespread staff scepticism, engendered by the experience of having seen many previous campaigns falter. 22 They needed to make district officials believe that change was possible. One hundred districts were therefore targeted for an ‘early-win’ campaign. Their heads, the district collectors, were invited to national workshops, and were offered resources and, unusually, direct access to the leadership, to enable them to resolve any problems they encountered. By the end of 2016, most of these flagship districts had declared that they were ODF. This model was then duplicated across the country.
That is one of the great achievements (of SBM), they really have made sure that there is great support for any collector who wants to achieve this. (17)
The new leaders of SBM disrupted social norms in districts by modelling behaviour that was results-oriented and ethical. One interviewee recounted:
If the secretary is going to the field [normally], the collector’s job is to be the protocol officer, to receive him at the airport, ensure his dietary requirements, see his arrangements are proper. Your job is to carry his briefcase. But this secretary focuses on the task in hand, he asks the collector important questions, rather than where to buy this handloom saree for his wife… This changes the professional ethics. Then the administrators know that this guy will ask for results rather than where to go shopping. (09)
Several interviewees told of the surprise that they felt when they saw a photograph of a top ministry official climbing into a toilet pit to empty it in the national newspapers. 23 One top state official dug toilet pits herself. Another related her initiation to the SBM programme by a trainer which violated the norm :
’Tatti’[shit] is the most disgusting and vile word in Hindi. And he was just like: ‘tatti tatti’… …and I could not stop giggling. It is not even a word you may use, you may use this word at home, but not if there is a guest or someone. (10)
Many interviewees felt that such activities had caused a change of norms in society, and by extension, in districts:
So this is quite unique… …5 or 6 years back you could not even talk about defaecation. And now you see that the whole of India is expert on the issue of open defaecation. (14)
A further change to the operating environment of districts was the use of technology to monitor and encourage progress. Collectors were set targets by the leadership in Delhi and then, unusually, were held to account. They were expected to report on progress in face-to-face meetings, in regular multi-participant video conferences and online.
Video and satellite conferences were my two important communication tools to connect with people and officials from across all the districts. I used video conferences to get figures on how many toilets had been built and to hand out targets. (15)
District collectors were trained on, and encouraged to sign up for, social media, and to use email:
[It is] rare for a bureaucrat to reply within an hour to an email. That means he has got email on his phone. Babus [bosses] still don’t do it to this day. (10)
In addition, the MDWS created a live ‘dashboard’; a website displaying progress on sanitation coverage showing the number of toilets built and the percentage of households covered. 24 In many states this system worked automatically via a mobile phone app that was updated by village authorities in real time, as toilets were built and funds disbursed to householders’ electronic bank accounts.
These improvements in communications technology provided an environment in which districts knew they could be held publicly to account, but also gave them an opportunity to show off their success. Rather than being forgotten in remote corners of the country, those collectors and their staff who did well were held up as examples on social media, invited to receive awards at multiple ceremonies involving local, state or national dignitaries and some were given awards by the prime minister himself.
The secretary… …travels a lot to see what’s happening on the ground and he tweets almost every day about the good things that are happening. So, this provides a lot of motivation to the system. (08) We had this workshop to felicitate the spouses which really touched all of them. Many of these wives… …said that nobody has ever acknowledged the work that we do. (15)
A further means by which ‘business-as-usual’ in districts was disrupted was the introduction of ‘fresh young blood’. Aside from deploying technical consultants, development partners were asked to recruit a cadre of new, young and enthusiastic fellows. Five hundred preraks were hired and assigned to support districts, where they took on a variety of roles.
This is how the programme works: they take fellows from districts which have become ODF and put them in districts or states wherever it’s required according to the skills and the needs… (08) The preraks are an astonishing innovation… They have been terrific… (17)
Preraks described how they offered flexible support to districts, filling in where needed:
I had a collector who would call me pretty much on a daily basis. If I didn’t meet him, he would text me and ask about the update. Eventually, I would run a lot of workshops and he even sent me to different locations because [he said] ‘I can’t understand what the problem is there, why don’t you go and check out what the problem is and just address it…’ (07)
Preraks supported each other and shared solutions to problems, often using social media:
But in terms of everyday things that we needed to carry out, we were calling each other on WhatsApp or email… ‘I heard that you guys have a lot of dysfunctional toilets, how are you working on this?’ …that was on a WhatsApp group. (08)
In figure 2 innovations that changed the social and technological environments in districts led to psychological changes (belief, motivation and habitual response) of the relevant officials. First, staff had to believe that change was possible. Officials repeatedly described how they had joined a civil service out of a desire to ‘serve’, but had been frustrated by bureaucracy and stasis:
It's just pushing up against the wall which is not going to move ever. So, why am wasting the good years of my youth and all my energy and ideas on this? (10)
But as they saw progress, staff begun to believe that the sanitation situation could be changed:
Because it gives you so much conviction, you know, what the world thought is impossible is being done in my time. (01)
As the results of their work became more visible, district officials related their pride at their achievements:
So now when I travel with my family they say: ‘see what is happening to your Swachh Bharat…’…I am ‘Swachh Bharat Champ’ they call me. (03)
Staff described their motivation for working in SBM using emotive terms:
There is a lot of passion for the first time in my sanitation business for many years. This is the first time that I have seen such a powerful country being mobilised in such a genuine and realistic way. (14) …it is glamorous (07) …disgust with the kind of situation people have lived in in our villages for such a long time… (06) I think this whole country has been amazingly galvanised [by this] compelling creation, amazing euphoria…, …the sanitation programme is a very adventurous, courageous and romantic venture. (01)
However, the motive that was most often mentioned by staff working in districts was the opportunity that working in the SBM had given them to ‘make a difference’:
It gives you satisfaction when you see that we are heading a programme that is being implemented and that is being successful and people are owning it. (03) Because here I think I can give my best output and can contribute in assisting my bosses so that they can do it well too. (02)
The new technological environment also changed the habitual responses of officials—for example, by making it easy for them to monitor progress closely:
So now when you are in a village you log into the app [and] all the Swachh Bharat mission toilets are mapped there with the beneficiary name, with the photographs, everything is there. (06)
Further, the new norms of behaviour set by national officials led to new working habits such as abandoning air-conditioned offices and spending more time in the field.
The cascade of changes in the operating environment and in the psychology of actors in SBM led to new behaviour in districts—the level at which staff have the mandate, operational staff and budgetary autonomy to organise development activities. Interviewees reported that the most important determinant of progress in latrine construction was the level of involvement of the district collector (DC). A DC who had taken on the challenge of SBM would typically move into ‘campaign mode’, making building toilets her/his priority, sometimes neglecting other activities to do so. The work comprised reviewing the sanitation status of blocks (administrative units) and villages, setting targets for toilet construction, organising payments to self-help groups and contractors, training masons and huge numbers of social mobilisers ( swachhagrahis ), organising mobilisation events, monitoring results and verifying the ODF status of villages.
DCs used a range of strategies to galvanise these activities: setting targets for blocks and villages to become ODF, arranging disbursement of funds, having weekly problem-solving meetings with block staff and sometimes, following up progress daily using social media.
The commitment of some of these collectors is quite extraordinary. Some use WhatsApp to call people at 4 in the morning to make sure they are up for the nigrani samiti [morning visit to open defaecation grounds]. Quite amazing! (17) So they [block coordinators] feel happy and motivated as there is regular follow-up. And as I call them almost every day, so they also hold meetings almost every 2 to 3 days. (03)
Perhaps the biggest change in the behaviour of district level staff was the move from ‘business-as-usual’ to a personal engagement with the cause:
If you are not out in the field, you are not present and people don’t see you, then people will not get excited. (11) Everybody was more excited about the mission, because the collector himself was sitting with us. (08) So you try to inspire people, motivate people, appeal to them, persuade them to do it fast, quickly and so on, in the mode of pulse polio [national eradication campaign], where in matter of a week or 10 days you can simultaneously start the work of construction and of triggering people. (15)
What, finally, was the overall impact of these changes in the administrative system under the SBM(G)? The government of India has made repeated efforts to improve the sanitation conditions of its rural population; figure 3 shows the results. After the national census of 1981 put national sanitation coverage at only 1%, the Central Rural Sanitation Program was launched in 1986. This increased coverage to 9% and evolved into the Total Sanitation Campaign, which began in 1991. In the following 20 years, coverage improved by some 1% a year, reaching 31% by 2011. 25 Despite a relaunch of the campaign, as the Nirmal Bharat Abhiyan , India failed to meet its millennium development goal to halve the rate of those with no access to sanitation by 2015. 26
Household toilet coverage in India 1981–2018 according to surveys and the national monitoring system.
By contrast, 4 years after the 2014 launch of Swachh Bharat, official figures suggested that over 80 million toilets had been built; 500 districts and almost half a million villages had been declared free of open defaecation. 27 Figure 3 suggests that the rate of toilet building in rural areas was around 10 times that of previous campaigns. In tandem with accelerating increases in sanitation coverage, government figures suggest that open defaecation has also decreased, dropping by 3% a year between 2000 and 2014 and by 12% a year from 2015 to 2019. 11
A number of unpublished surveys suggest that the government monitoring system overestimates the true levels of toilet coverage. 28 29 Interviewees gave reasons for discrepancies between individual surveys and government figures that included inaccuracies in the original government baseline against which progress is reported, the omission from the SBM programme of households with old toilets which had fallen out of use, and systemic incentives to over-report results. Nevertheless, interviewees described exceptional progress in improving toilet coverage over the past 4 years, transforming India from a country where the majority defaecated in the open, to one where the majority of people have, and use, toilets.
I don’t think there is any historic parallel of any country anywhere in the world, shifting numbers on such a scale. That will change the global indicators. I think that the story is not whether it is 85%, right, or 90%, right, the story is the fact that there is a tremendous shift. (16)
While interviewees were positive about the gains made by the SBM, there were also worries about the sustainability of these gains over the long term:
we brought India from A to B which is an outstanding achievement but there is recognition that behaviour change is complex, there is unfinished business and there is necessity to invest beyond the campaign so that we have a real impact by the end of the SDG era. (14)
As the final deadline for SBM looms, political attention to the unfinished last mile on sanitation will inevitably shift to other pressing social problems, such as rural water supply. In the face of this the MDWS is trying to embed sanitation in national policy, and plans to continue to make funds available to complete and sustain the gains of SBM.
On sustainability, of course the ministry is also aware; they have started focusing on something called ODF Plus, which looks at the sustainability issue. (13)
Drawing transferable lessons from a programme’s theory of change requires understanding its particular context. 30 The SBM(G) programme took advantage of opportunities presented by the prevailing national political situation, of improvements in living conditions in rural India and of the proliferation of communications technology. It also drew on the experience of previous sanitation programmes, and on the global push to meet the sustainable development goals. Contextual factors that hindered progress, on the other hand, included a general scepticism of government-sponsored programmes, political division, where some states were not supporters of the current government, and the many other competing demands for social investment in India.
Interviewees pointed out how the political context was key in the launch of SBM, where a swing towards a nationalist and pro-Hindu party provided an opportunity to capitalise on the symbolism of purity, cleanliness of the mother country and the example of Gandhi. This was expected to translate into electoral support:
Sanitation is something each family needs every day. And through his programme, Modi is able to reach out to almost all the households in the country. And a toilet becomes synonymous with Modi. So, Modi is equal to Swachh Bharat and Swachh Bharat is equal to a toilet. So, this has given him immense visibility, immense publicity and immense connection with crores of households in India. (01)
Indeed, observers have suggested that the prime minister’s evident commitment to rural sanitation was a factor in the success of the ruling party at the 2019 general elections. 31 32
You see, good sanitation is good politics. (01)
The new SBM goals were set for a nation in the midst of modernisation, where millions have emerged from poverty, and most people have improved their housing and gained access to electricity, water, mass communications and education. 33 India was therefore ready for modern toilets, and had the communications networks necessary to spread the idea rapidly.
The SBM(G) programme did not emerge anew but was set up in the context of a long line of previous national sanitation campaigns. These had had limited success, but provided experience concerning what worked and what did not.
The Swachh Bharat Mission is preceded by several other missions; the Total Sanitation Mission, Nirmal Bharat Abhiyan and other campaigns. When the Swachh Bharat mission started we were very much aware of this. We can't say that those programme were a total failure, these contributed to building momentum and creating awareness, and some of these toilets are still in use. …definitely they left imprints. (05)
Both the national and international situation was favourable to SBM. International agreement to meet the sustainable development goals reminded Indian leaders that, though their country had made progress in many ways, sanitation conditions still lagged far behind those of countries with comparable levels of development.
While it will still take some time to completely realise the ambition for an ODF India, the country has made large strides in this direction over the past 5 years. In rural areas of other low-income countries, around 1.5 billion people still lack access to basic sanitation services, and 0.6 billion defaecate in the open. 34 This study offers insights and lessons for the governments of countries that are looking to improve the sanitation conditions of their populations:
There are votes in toilets . The Indian experience suggests that political commitment at the head of government can galvanise an administration to a goal as unlikely as ending open defaecation, and that this may be rewarded politically.
Disrupt institutional norms . From the outset, the leaders of SBM(G) set out to disrupt the bureaucratic norms of government. The leadership modelled ethical norms of commitment to progress, new enthusiastic young staff in districts helped to create norms of adaptive learning, enthusiasm and personal engagement and the norm of polite silence about matters faecal was repeatedly and deliberately violated.
Believe the impossible . A key driver of the success programme was the ‘big hairy audacious goal’ to make India ‘open defaecation free’ by 2 October 2019. Standard development programmes tend to be conservative, setting less risky, but more plausible, goals (for example, the Tanzanian government has set a target of 85% coverage with improved toilets by 2030). However, such targets neither provide a compelling vision nor a sense of urgency. SBM shows other countries that ambitious plans for sanitation transformation can galvanise behaviour change in institutions.
Set targets and monitor them . Many development programmes set targets, but few follow them up as relentlessly as did the Swachh Bharat team. Making use of electronic data gathering and real-time, public dashboards, the ministry team reviewed progress district by district, every month, sought to resolve any bottlenecks and held district collectors to account for their results.
Reward and recognition . Once districts began to meet their targets, their progress was deliberately and publicly celebrated. Officials from successful districts were lauded and presented with awards at national, state and local events, and they, in turn, gave awards to leaders and mobilisers in successful villages. Successful officials were praised in tweets and Instagram posts. As a result, officials were full of pride at their achievements and were motivated to make efforts that went well beyond their normal pattern of work.
Constant 360° communications . Unusually for a government programme, the SBM(G) embraced modern communication strategies and media technologies. The centre kept relevant stakeholders, such as MPs, journalists, academics, development partners and private sector players, informed and involved, using social media, mass media, high-profile events, conferences, teleconferences and personal visits. District officials learnt to use communications technologies such as email and social media to follow progress, to short-circuit sometimes cumbersome official channels and to encourage one another.
Focus on behaviour and sustainability . Learning from previous programmes in India an elsewhere, the SBM made major efforts to support behaviour change through mass training programmes and local innovation.
A passion for sanitation . A surprising finding from this research was the degree of emotion shown by the respondents when they described their engagement with the SBM programme. Motives driving their participation included justice, creativity, nurture, status and disgust. 35 From top to bottom of the hierarchy, almost every interviewee described the programme in emotive terms; whether as adventurous, glamorous, exciting, fulfilling, pride-generating, satisfying, or humbling. According to one interviewee:
I will be living testimony to the fact that India will become ODF and I will be making a huge difference in lives of millions of people, because I am associated. The difference that we will make in rural India, the profound impact it will have on the lives of poor people is very, very satisfying, inspiring, humbling. (01)
Much has been written about sanitation programming, such as the choice of technology, 36 motives for the adoption of toilets, 37 38 provision of subsidy, 39 40 community participation, 41 42 environmental factors 43 and health outcomes of sanitation programmes, 44–46 but only a few published studies have tried to unpick the successes and failures of government-led programmes.
A 2012 study of the of the previous Total Sanitation Campaign in India 22 blamed its poor results on a lack of political priority and leadership, a lack of confidence in the possibility of success, the misuse of subsidies, poor monitoring systems and a top-down supply-led approach. The results of the current study suggests that the leaders of SBM(G) had learnt how to resolve, at least some, of these problems, by capitalising on political support, broadcasting the successes of the programme, using electronic banking to pay subsidies directly to households, employing technological platforms for monitoring and by emphasising behaviour change. The use of electronic technology to monitor progress is not new to India; it has been employed successfully in sanitation programmes in Indonesia 47 and Zambia. 48 A lack of political will has long been lamented in the field of sanitation (for example, in India, 43 Nepal, 49 Tanzania 50 and Ghana 51 ), but the SBM example suggests a reason why politicians should become involved—there are votes in toilets!
The factors responsible for the success of SBM, to some extent, echo those identified as important for success in large-scale health programmes more generally. One survey of 20 proven programmes concluded that political will, technological innovation, expert consensus about the approach, effective use of information by management, and sufficient financial resources were critical. 52 It also pointed to the importance of government ownership of development programmes, if success is to be sustained.
The setting by the government of ambitious, ‘not-quite achievable’, big hairy audacious goals was undoubtedly one of the factors in the success of the SBM. Nevertheless, the pursuit of success can have what Rajkotia describes as an ugly side: “the high stakes, the ambition and the expectation can instil a fear of failure, stifle risk-taking and innovation, and lead to the fabrication of achievement.” 53 However, for SBM a high level of awareness of previous failures led to innovation—for example, an attempt to focus on behaviour change and on construction targets. The strategy has also undoubtedly led to inflated claims about SBM’s results. But, as Rajkotia also points out, aspirational targets are important because they can rally governments and civil society to focus their energies on social development. He suggests that it might thus be unfair to chastise them for failure to achieve their aspirations completely. Countries should recognise that there is a virtuous circle by which aspirational targets can drive success, both through success itself, and by the learning that accrues from acknowledging, accepting and understanding failure to achieve them, partially or completely. 54
Even when toilets have been built, and counted, people might still not use them. A study in Orissa suggested that while the sanitation campaigns of 1999–2012 increased latrine coverage substantially, over one-third of people with toilets were still not using them. 55 Obtaining good data on use is difficult, but there are indications that the longer people have toilets the more likely they are to use them. 56 Evidence suggests that of all the structural, cultural, psychological and material factors determining toilet acquisition and use, the most important seems to be the perceived social norm of not defaecating in the open. 38 Given the much wider presence of toilets and greater discussion of their use, it may be that toilet use has reached a tipping point, beyond which their use will only increase.
A novel aspect of this study was the attention paid to the settings and motives of civil servants. This study documented positive emotions associated with participation in SBM(G). In Bangladesh, Hanchett found that a factor in the success of the national sanitation programme was the enthusiasm and pride of union council chairmen and their shared experience. 57
Courtesy bias may be partially responsible for the almost unanimously positive response of interviewees about their experience of SBM, but the enthusiasm of the SBM participants was clearly genuine. Given the huge size and heterogeneity of India, a larger study with a broader range of interviewees from a broader range of states might have provided further lessons. However, data saturation was acheived early, with few new insights emerging after about 12 interviews. 14
This study was unusual in that it focused on the behaviour of district officials within government institutions, rather than on the effect of sanitation programming on villages and households. A more complete investigation might have analysed the factors leading to behaviour change at every level in the hierarchy, from leaders, through ministry, state, district, block and village, through to householders. A future analysis of the factors leading to behaviour change in households could be expected to provide further important information.
The study also focused purely on sanitation programming aimed at households in rural India. How to achieve universal access to sanitation in urban settings in low-income countries remains a large and largely unsolved problem.
It might be asked how far is India a special case, and can the achievements of the SBM be transferred to other countries? India is one country among many in which modernisation is proceeding rapidly. Tusting et al show that housing is improving across sub-Saharan Africa, 58 and our research in Tanzania suggests that toilet promotion can be linked to this process of modernisation. 59 India is also one of many countries in the global south with political leaders with ambitions for transformation, as was demonstrated when 53 government delegations attended a summit on SBM held in Delhi in October 2018. India differs from many countries with incomplete sanitation in its low level of reliance on external monetary help. Yet the, seemingly huge, amount it made available for toilet building amounted to only around US$4 per person per year, a sum that could be recouped in financial savings associated with lower healthcare and other costs. 60 Case studies suggest that poverty is rarely a barrier to the achievement of public health goals. 52 Hence it seems likely that other countries can - if they wish - emulate India’s sanitation success.
The theory of change perspective of Behaviour Centred Design was applied for the first time to behaviour change in institutions. It provided a new, relatively straightforward method to understand the behaviour of actors in government. A new aspect of the approach was its ability to investigate the role of psychological factors such as motives, and the social and physical factors in the operational environment of the key actors. It allowed the creation of a structured and plausible theory of change from which it was possible to derive lessons that should be of use to other institutions wanting to improve the quality of public services.
SBM measured its success against a baseline set in 2013, but interviewees pointed out that many families had been left out of SBM. The government will need to tackle the tough ‘last mile’ problem of remote and left-out rural households, and find better sanitation solutions for the urban poor, before it can fully claim to have met its objective to declare the country free from open defaecation. Questions remain about the sustainability of the achievements of SBM. Much could be learnt by studying the different experience and differing levels of success across India’s widely varied 600+ districts. Future studies, including the national census of 2021, will disclose the long-term trajectory of the gains claimed by SBM.
Finally, it is increasingly understood that people working in institutions are motivated to act by a range of factors beyond immediate financial advantage. 61 62 As one interviewee said:
All of us who are members of civil services, we joined the service with the vision for the betterment of society. (05)
A closer investigation of the motives of civil servants in national action programmes, such as the successful Swachh Bharat programme in India, might provide important lessons about how best to stimulate and reward such activity. This could have consequences for better public services beyond the urgent struggle to get the sanitary revolution to everyone on the planet.
I wish to thank Robert Aunger, Sarah Bick, Kavita Chauhan, Ian Ross, Astrid Thorseth and the interviewees.
Handling editor Stephanie M Topp
Funding This study was funded by London School of Hygiene & Tropical Medicine.
Competing interests None declared.
Patient consent for publication Not required.
Provenance and peer review Not commissioned; externally peer reviewed.
Data availability statement Data may be obtained from a third party and are not publicly available.
Aim of eliminating open defecation.
October 2016
November 2016
August 2014
Upliftment of the waste workers.
January 2001
August 2018
September 2017
August 2017
Rural sanitation.
Rural urban.
Rural diseases.
Rural awareness.
Swachh society.
September 2016
August 2016
Rural women.
Urban sanitation.
Rural water.
Education polio.
Rural sanitation.
Empowering girls.
Urban slums.
February 2016
November 2015
October 2015
Clean drinking.
September 2015
Urban rural, empowering factory workers.
August 2015
Rural recycling.
Prefabricated portable.
Water sanitation.
Urban semi-urban.
Skill advancement.
Rural tribal.
Toilets schools.
Unicef sanitation.
Urban jusco.
Temporary toilets.
Usha martin.
January 2015
November 2014
October 2014
September 2014
Rural urban.
Sanitary facilities, provide sanitation businesses, environment protection.
Cairn india.
Mace hygiene.
Rural household.
Open defecation.
Providing sanitation facilities to students, pink toilets.
February 2014
Rural nalco, programme for sanitation & wash in schools.
December 2013
November 2013
October 2013
September 2013
August 2013
Urban rural, low cost sanitation solutions, rural reasonably, ensuring proper liquid waste management, hygienic rural.
Awareness utc.
Rural better.
Sustainable bioenergy.
February 2013
January 2013
Government schools.
November 2012
October 2012
Rural waste.
September 2012
August 2012
Unicef menstrual.
Tmc project.
September 2011
Ambuja cement.
Rural toilet, improve the status of sanitation in nanded.
Complete sanitation.
December 2010
November 2010
September 2010
August 2010
August 2009
February 2009
October 2008
Freedom from open defecation.
Improving sanitation facilities in schools.
November 2006
Sanitation rural.
Poor hygiene.
November 2004
January 2004
Rural water supply systems in vulnerable districts.
December 2003
Rural marginalized.
February 1999
Proper sanitation.
October 1990
Generate revenues.
Waste management.
August 1976
August 1956
November -0001
Rural clean.
Urban safai.
Urban facilities.
Urban pilot.
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Linear agricultural nutrient regimes are the principal cause for perturbation of the geochemical cycles for nitrogen (N) and phosphorus (P) and other planetary boundaries. Nutrient cycles are characterized by high spatial disparity and China is a hotspot due to high fertilizer application rates. Using substance flow analysis, this study identified and quantified nutrient flows from agricultural production to residue management of Huangyan tangerines ( Citrus reticulata ) and water bamboo ( Zizania latifolia ) in a case study of Huangyan district (Taizhou City, Zhejiang province). About 754 Mg/a of N and 105 Mg/a of P can theoretically be recovered in the tangerines and water bamboo systems from currently untapped material flows. This could replace 59% of the N and 15% of the P currently applied as chemical fertilizer, reducing environmental impacts. Combining the nutrient recovery of both systems and upscaling the results to Taizhou City, the goal from the 14th Five-Year Plan for Agricultural and Rural Modernization to save 1182 Mg of nutrients per year could be exceeded by almost 12 times. This study’s data have varying degrees of uncertainty. The analysis of data representativeness shows potential for improvements, especially in the agricultural production of water bamboo and the nutrient contents of material flows.
Avoid common mistakes on your manuscript.
The biogeochemical cycles have exceeded the proposed safe operating space for humans [ 1 ]. According to Campbell et al., agriculture is the main driver for the transgression of this and other planetary boundaries [ 2 ]. Specifically, the production of nitrogen (N) fertilizer is linked to a high energy demand (the Haber–Bosch process for ammonia synthesis is responsible for 1–2% of the world’s total energy consumption) [ 3 ], it consumes 2% of the world’s natural gas as feedstock [ 4 ], and contributes to 1.4% of all anthropogenic CO 2 emissions [ 5 ]. Phosphorus (P) is a finite resource mainly mined in China, Morocco and the United States, making phosphate rock as well as phosphorus critical raw materials [ 6 ]. Apart from climate change and resource depletion, the high N and P application in agricultural regions leads to air pollution, soil acidification, and eutrophication of water bodies—which ultimately results in water dead zones, fish kills, algal blooms, and water contamination [ 7 ]. This unsustainable nutrient management attempts against the achievement the United Nations Sustainable Development Goals (e.g. 6—Clean water and sanitation, 12—Responsible consumption and production, 14—Life below water, 15—Life on land).
Industrial agricultural systems are commonly characterized by linear regimes. Since the nineteenth century, natural nutrient sources and recycled materials were no longer enough to cover the needs of the increasing population [ 7 ]. Therefore, the use of Haber–Bosch N and mined P started to increase rapidly, becoming the main nutrient input for crops—since the 1960s, the use of synthetic N fertilizers increased ninefold and the P fertilizer use tripled [ 7 ]. Although fertilizer production is concentrated in a few countries (mainly China with 25%, Russia with 10%, and United States and India both with 9%), its use is widely distributed globally, meaning that many countries rely on imports to cover their fertilizer demand [ 8 , 9 ]. After application, an important part of these nutrients (over 80% of the N and 25–75% of the P) gets lost to the environment, causing pollution [ 7 ]. The inefficient fertilizer use has been recognized as a global issue and the UN Environment Programme highlighted the need for coordinated policies to manage N and P pollution effectively at global, national, and regional levels [ 10 ]. Moreover, fertilizers are one of the carbon-intensive products covered by the EU’s Carbon Border Adjustment Mechanism (CBAM) to encourage global reduction of carbon emissions instead of moving their production to countries with less stringent climate policies [ 11 ].
China (in particular eastern China) is one of the few agricultural regions with very high P and N application rates that are the main contributors to the transgression of the biogeochemical flows boundary [ 1 ]. It is the world’s largest consumer of fertilizers (42.31 Mio Mg/a of nutrients) [ 12 ], and the country with the second highest greenhouse gas (GHG) emissions from agriculture after India (663 Mio. Mg of CO2 eq/a) [ 13 ]. The reason is that China’s agriculture has been transitioning from a self-subsistence extensive agriculture to an intensive industrial cash crop production system [ 14 ]. After the establishment of the People’s Republic of China in 1949, hundreds of millions of farmers were organized in collective agriculture communes, where all agriculture production decisions were made by local leaders following a higher level production plan [ 15 ]. This changed after the economic reform in 1978: collectively owned land was leased to individual farmers, who had to deliver a fixed quota of “strategic crops” to the state for a fixed price, but were also free to produce more and sell their surpluses in rural markets [ 15 ]. To increase the production on their small plots, farmers started to apply excessive amounts of chemical fertilizer—China’s yearly application per hectare of cropland is one of the highest of the world with 319 kg (for comparison, the world’s average is 119 kg and Europe’s average, 75 kg) [ 16 ]. This resulted in a series of environmental impacts, including groundwater contamination with nitrates, eutrophication of surface waters, soil acidification, greenhouse gas emissions, loss of biodiversity, and micronutrients deficiencies in feed and food [ 17 ].
The Chinese government has set goals and introduced policies to improve sustainability in agriculture. In 2015, the Ministry of Agriculture launched the “zero-growth” action plan, regulating fertilizer and pesticide use by 2020 [ 18 ]. Later, in 2021, the 14th Five-Year Plan for Agricultural Green Development was released, emphasizing the reduction of chemical fertilizer and pesticide use and the improvement of the utilization level of agricultural resources [ 19 ]. China wants to become carbon neutral by 2060, which requires a substantial transformation of the agricultural sector as well [ 20 ].
In addition, local governments are increasingly taking measures to promote agricultural practices that are more circular and sustainable. In Taizhou, a city in the Zhejiang province, the Bureau of Agriculture and Rural Affairs launched its own 14th Five-Year Plan for Agricultural and Rural Modernization to improve productivity and living standards in rural areas (its focus is slightly different of that of the national Plan for Agricultural Green Development mentioned above, which mainly aims at reducing environmental impacts). This action plan aims to increase the use of commercial organic fertilizer, digestate from anaerobic digestion, and green manure to improve soil structure and organic matter content. The utilization rate of manure (from livestock and poultry) and rice straw should also be improved to 92% and 95%, respectively, by 2025. Besides, chemical fertilizer use in the crop sector should be reduced with the help of soil testing and formula fertilization. In this way, Taizhou expects to save 0.6 kg of “pure nutrients” (N, P 2 O 5, and K 2 O) per Mu—or more than 1182 Mg per year—while reducing air pollution (mainly caused by straw burning), eutrophication of water bodies, soil erosion, and salinization. [ 21 ]
Implementing circular systems to achieve these goals requires the detailed study of locally available, potentially valuable organic material flows, which can be done by using Material Flow Analysis (MFA) [ 22 ]. This is a case study for Huangyan (黄岩), a district in Taizhou city (Fig. 1 ) [ 23 ]. Huangyan is a typical example of a region with a linear, cash-crop-oriented, agricultural system and a high demand for chemical fertilizers. While the majority of Taizhou’s economic activities take place in Luqiao district, the agricultural production is based in Huangyan. The agricultural sector, with a yearly contribution of over 10 billion yuan, plays an important role in the region’s economy [ 24 ]. In 2021, 1,918,000 Mu of agricultural land were sown in Taizhou, with a total output of 560,000 Mg of grain and 1,456,900 Mg of fruit [ 25 ]. By quantifying the nutrients that could be recovered in this region, the possible contribution to Taizhou’s goal can be assessed and additional measures can be taken (e.g. to effectively recover those nutrients, to formulate stricter goals if necessary, or to introduce new regulations).
Map of Huangyan, a district in Taizhou city, located in the Jiaojiang River Delta, southeast of Zhejiang Province. Huangyan has an area of 988 km 2 and a registered population of around 610,000
The study focuses on the two crops with the highest production amounts in the region, namely Huangyan tangerines ( Citrus reticulata, annual production in Taizhou reaches 546,000 Mg/a) and water bamboo ( Zizania latifolia, also called Manchurian wild rice, 77,000 Mg/a) [ 25 ]. Both species are native to China, which leads the global market—China produces 61% of the world’s tangerines, mandarins, and clementines, and 27% of the rice [ 26 , 27 ]. The goal of the study is to identify and quantify all the by-product flows in these agri-food systems, to later derive the amounts of N and P that could theoretically be recovered and recycled. These theoretical recycling potentials will then be related to the amount of nutrients that Taizhou expects to save according to its last Five-Year Plan for Agricultural and Rural Modernization. In this way, the potential contribution of nutrient recovery in these two agri-food systems can be measured.
The methodology of material flow analysis, deeply described in Brunner & Rechberger’s Handbook of Material Flow Analysis , is defined as “a systematic assessment of the flows and stocks of materials within a system defined in space and time” [ 22 ]. MFA is an iterative method consisting of several steps, including goal and system definition (which lead to a qualitative model), determination of mass flows and stocks, and mass balance (resulting in a quantitative model). The quantified material flows can also be linked with the substances’ mass fractions to identify the substance-specific sources and sinks, allowing the development of specific recommendations to improve substance flows.
The goal of this substance flow analysis (SFA) is to quantify the amount of N and P that could be recovered within the agri-food systems of the two main agricultural products (Huangyan tangerines and water bamboo) in Huangyan district, Taizhou City, Zhejiang province, China, in 2019.
The system model was defined according to the material life cycle stages identified during the data acquisition, namely: agricultural production, manufacturing, distribution and sales, consumption, and waste treatment and disposal (Figs. 2 , 3 ). The processes shown in the SFAs represent the average and not the best available technology. All solid organic material flows were considered. Gaseous, water, and energy flows were not regarded due to a lack of data.
System definition for Huangyan tangerines
System definition for water bamboo
The required data were acquired by both top-down (secondary data comprising statistical and aggregated data) and bottom-up (primary data from interviews) data collection.
For the bottom-up data collection, 25 relevant stakeholders from governmental institutions, educational organizations, agricultural and manufacturing sectors, markets, and waste management companies were interviewed between October and November 2019 (supplementary material, Figure a). The interview participants were selected through snowball sampling. Interview guides were prepared in advance to provide a framework of topics to be covered (see questions in supplementary material). However, the interviews were semi-structured, including open questions and allowing new ideas to be raised during the discussion. A translator was always present to translate from Chinese to English and vice versa.
Top-down data were collected through literature research, including statistical yearbooks (from Huangyan and Taizhou), scientific publications, and official reports. This secondary data were combined with the primary data from the interviews to have a solid foundation for the MFA modelling.
For the SFA, the material composition data was taken from FoodData Central, a data system launched by the U.S. Department of Agriculture (USDA), whenever available [ 28 ]. If the needed data were not available in that system, different sources were revised, and the average of various values was calculated.
To account for uncertainties and varying reliability, as well as the temporal and spatial representativeness of the collected data, four data representativeness levels [ 29 ] were defined to classify the quality of the gathered data (Table 1 ). Level 1 was assigned to educational organizations (interviewees were experts in their fields); level 2 to governmental institutions and waste treatment companies (statistical data derived from reports, measurements, and census in the study region); level 3 to farmers, food manufacturing companies and markets (specific information, not valid for the entire region); and level 4 to literature data (related to other geographic regions and/or periods).
Mass flows of fresh matter (FM) were determined using an Excel model. All the inputs and outputs of each process were related to a reference flow of 1 Mg of freshly harvested product (Huangyan tangerines or water bamboo). When a range of values was available, an average was used. The calculations to determine each of the FM flows and the assumptions made can be found in the supplementary material (Tables a, b).
The flows for the N and P SFAs were calculated by multiplying the FM flows by the N and P mass fractions of each flow. These mass fractions were obtained from secondary sources, except for a few cases, where the interviews revealed relevant data (supplementary material, Tables c, d).
The models for Huangyan tangerines and water bamboo were introduced in the MFA software e!Sankey to obtain a graphical visualization of the nutrient flows. Finally, the theoretical recycling potential of P and N was calculated by adding up all the by-product flows and compared to the amount of N and P already being recycled.
These results were compared with the goal set by Taizhou’s Five-Year Plan for Agricultural and Rural Modernization (saving 1,182 Mg/a of “pure nutrients”). To do that, the values for the P recycling potential were multiplied by 2.29 to account for P 2 O 5 and, hence, allow the comparison with the above-mentioned goal.
The results for Huangyan tangerines and water bamboo are described in this section (the graphic descriptions of the entire life cycles of the tangerines and the water bamboo can be found in Figs. 2 , 3 ). The SFAs for N are illustrated in Fig. 4 (tangerines) and Fig. 5 (water bamboo), and those for P are shown on Fig. 6 (tangerines) and Fig. 7 (water bamboo).
Nitrogen SFA for Huangyan tangerines. Values represent annual flows
Nitrogen SFA for water bamboo. Values represent annual flows
Phosphorus SFA for Huangyan tangerines. Values represent annual flows
Phosphorus SFA for water bamboo. Values represent annual flows
Agricultural production.
Around 4,200 ha in Huangyan are covered by tangerine orchards. This area is shared between almost 19,500 farms, i.e. the average area of a tangerine farm in Huangyan is only 0.2 ha [ 24 ]. Most of this area belongs to families who own a small piece of land for self-supply. Recently, the government is investing to improve the quality of Huangyan tangerines by funding large, modern tangerine gardens managed by just a few partners [ 30 ]. An average tree produces around 24 kg of tangerines per year [ 31 ]. Trees in their most productive phase, however, can produce up to 10 times more [ 32 ]. The young tangerine gardens in the district are the main reason for the low average [ 30 ].
Tangerine farmers apply 20–30% (relative to N) organic fertilizer and 70–80% chemical fertilizer (15% N, 15% P 2 O 5 , 15% K 2 O) [ 31 ]. In 2017, Taizhou launched a policy to promote the use of organic fertilizer: farmers who use at least 50% organic fertilizer can get access to subsidies [ 31 ]. Currently, there are less than 50 of these “green agriculture” farms in Huangyan—including but not only tangerine farms [ 32 ]. Since there is no fertilizer production in Huangyan, this product has to be imported from other regions [ 31 ]. Chemical fertilizers add 975 Mg of N and 426 Mg of P to the agricultural soils every year, constituting the largest nutrient input of this system. Common organic fertilizers include rapeseed compost, a mixture of sheep manure and mushrooms, compost made out of cassava and residues from alcohol production, and compost made out of water bamboo and sugar cane waste [ 31 , 32 ]. These organic fertilizers introduce 325 Mg of N and 195 Mg of P to the tangerine system.
Most of the tangerines produced in Huangyan (95%) are exported to other regions [ 24 ]. 173 Mg of N and 11 Mg of P leave the system in this way. From the rest, 95% is sold as fresh fruit directly on the farm or in markets and supermarkets (or grocery stores), and 5% serves for the further manufacturing of different products like canned tangerines, Chinese medicine, oil, or candies [ 33 ]. The largest by-product flow in the entire tangerine system comes from the agricultural stage. Every year, 16,140 Mg of by-products are produced in Huangyan’s tangerine farms. This agricultural waste, consisting mostly of pruning residues, contains 311 Mg of N and 20 Mg of P. It is partly used to make fire for heating and cooking [ 33 ], while the rest is either left on the ground, burned in open fires, or landfilled [ 30 , 31 ]. Farmers mentioned a lack of space (it is not permitted to construct buildings in agricultural areas) and a lack of animal manure as the main reasons why they do not compost or digest their waste [ 32 ].
The biggest company for canned fruit in Taizhou City, “Yiguan Food”, contributes to 10% of China’s canned tangerines production [ 31 , 32 , 33 , 34 ]. The majority of their products are exported and only small amounts (5%) stay in Taizhou for supermarkets, cake and jelly production [ 35 ]. The tangerines for the manufacturing process are purchased from different cooperatives in Taizhou, Hubei, Hunan, and, mostly, Linhai [ 36 ]. The production process includes size separation (small tangerines are picked out), heating in water to facilitate the peel separation, and an acid–base treatment to separate the pith. Afterward, tangerines are separated into slices by hand, which in some cases damages them. Peels, damaged or rotten tangerines, pith, and wastewater are the major by-product flows in this production chain. The peels are sold to a company that produces spices. Wastewater is sent to an industrial treatment plant that processes wastewater from this and other companies, before going to the municipal wastewater treatment plant.
Huangyan’s tangerines for fresh consumption are either sold directly from the farm (30%) or in markets and supermarkets (70%) [ 37 ]. Only 9% of the products in the market come from Huangyan, while the rest is imported from other regions, for example from the wholesale market in Luqiao [ 38 ]. Imported tangerines introduce 60 Mg of N and 4 Mg of P into the system. Around 5% of the products sold in the market get wasted [ 39 ]. A small part of these by-products is collected by people who use it to feed their animals, but most of it goes to Huangyan’s landfill [ 40 ]. In contrast, the wholesale market in Luqiao treats part of its by-products: the “clean” fraction (without plastic, paper, or other contaminants) is treated at high temperatures to produce fertilizer. The “contaminated” fraction is compressed. The wastewater then goes to the wastewater treatment plant and the compressed waste is incinerated at Luqiao waste to energy plant. [ 39 ]
Around 6% of the produced tangerines, containing 50 Mg of N and 2 Mg of P, get wasted in households [ 41 ]. The consumed nutrients are excreted and leave the households with the wastewater (16 Mg of N and 2 Mg of P).
Huangyan Waste Sorting and Treatment Centre is responsible for 20% (or 27 Mg per day) of municipal perishable waste. Well-sorted perishable waste from school and office canteens, as well as the “clean” fraction of the perishable household waste is composted. This accounts for 20% of the perishable waste treated by the company. The composting process is still being tested, and the compost quality is still not good enough for agricultural applications. The rest 80% of the company’s perishable waste, corresponding to the “polluted” fraction of the household waste, is treated anaerobically. This waste is first filtered, and then the oil is separated and sold to soap or biodiesel companies. The solid fraction is treated for three to seven days under anaerobic conditions and high temperatures (around 140 °C), while the liquid fraction goes to the wastewater treatment plant. Also this treatment is still being tested to improve the quality of the resulting fertilizer. [ 42 ]
Most of Huangyan’s municipal perishable waste (80%) ends up in the landfill [ 42 ]. 40 Mg of N and 2 Mg of P get lost in this way. At the time of the field trip, the landfill was almost full, and a new incineration plant was being constructed to replace it. During the interview at the landfill, it was stated that China would ban landfills in 2020. There was a project to use kitchen waste to produce biogas in the future, but there was still no estimated starting date. [ 43 ]
Excreta is the main waste flow resulting from the tangerine consumption stage, and the second-largest waste stream in the entire system (12,009 Mg/a). Yuanqiao wastewater treatment plant in Huangyan District can treat up to 60,000 m. 3 per day. The site covers an area of more than 11 ha and applies Anaerobic/Anoxic/Oxic technology (AAO). The clean effluent is discharged into the river. [ 44 ]
Manchurian wild rice ( Zizania latifolia ), or water bamboo, is a perennial plant native to China [ 45 ]. Its seeds have been consumed as a cereal for more than 3,000 years. When infected with the black smut fungus ( Ustilago esculenta ), the stem becomes bigger and tender, making it the second most-cultivated aquatic vegetable in China. Huangyan is one of the main producing areas in the country [ 46 ]. Wetland farms growing Z. latifolia in Huangyan cover a much smaller area than tangerine farms—around 800 ha [ 37 ]. However, this area is growing because producing this crop in paddy fields is more profitable than producing rice [ 30 ].
There are two harvest seasons for water bamboo: one from May to June and another one from October to December [ 47 ]. In the summer, the production (around 100 kg/ha) is twice as much as in autumn [ 48 ]. To produce 1 Mg of water bamboo, farmers use on average 50 kg of chemical fertilizer (15–15-15) [ 24 ]. In this way, 296 Mg of N and 129 Mg of P are added to the cropland every year. Apart from that, in the summer, farmers put compost from their farms back in the field (503 Mg of N and 19 Mg of P per year) [ 48 ].
During the harvesting, waste leaves (which represent 30% of the plant’s weight) are cut off and, in most cases, left on the field [ 47 ]. This is the heaviest by-product flow in the entire system, accounting for 25,200 Mg per year (437 Mg of N and 147 Mg of P). There are some farms using these leaves to cover the soil (e.g. in tangerine fields) to improve its quality, although the transport and labour is expensive [ 49 ]. Stems are collected for further processing [ 47 ]. In the next step, the stems are peeled by hand. Thus, the water bamboo shoots (representing 50% of the plant’s weight) are separated from the peels (accounting for the rest 20%) [ 47 ].
Around 20 kg/ha of water bamboo shoots are wasted every year because of diseases, bad quality, or bad appearance. This agricultural waste stream, containing 64 Mg of N and 14 Mg of P, gets landfilled [ 24 ]. After the peeling process, the majority of the water bamboo shoots are exported, along with 648 Mg of N and 137 Mg of P. This is the largest P export in the system.
The peels are cut into little pieces on site and mixed with urea—the largest nitrogen flow in the system, adding 3,091 Mg of N—and decomposing agent. After 20 days, the compost is ready to be put back on the field. This is done every year at the end of July. 70% of the compost (1173 Mg of N and 44 Mg of P) is sent to other fruit and vegetable farms, constituting the largest N export in the system. The rest 30%, containing 503 Mg of N and 19 Mg of P, is used in the farm itself. [ 48 ]
Most of the produced water bamboo shoots (95%) are exported to other regions. The part that stays in Huangyan gets sold in markets, supermarkets, and grocery stores [ 24 ]. As mentioned for the tangerine system, only 9% of the products in the markets come from Huangyan, and about 5% of the products sold in the market get wasted.
The life stages consumption, waste treatment, and wastewater treatment are identical to the ones described for the tangerine system. Also in, this case, excreta constitutes the major waste flow coming from the consumption stage (16,032 Mg/a). 286 Mg of N and 61 Mg of P are lost through this route.
In the tangerine system, the by-product streams that could theoretically be recycled include agricultural waste; peels, damaged tangerines, and pith from the manufacturing process; and excreta, peels, and rotten tangerines from the consumption process. These flows amount to 38,870 Mg/a. The nitrogen content in those flows adds up to 382 Mg/a and the phosphorus content to 25 Mg/a.
Only the tangerine peels from the manufacturing process are currently being recycled to produce spices and a part of the rotten tangerines and peels from consumption are treated anaerobically or through composting. These account for 2,115 Mg/a or 5% of the total theoretical recycling potential. The nitrogen contained in the recycled flows accounts for only 11 Mg/a or 3%, and the phosphorus for 0 Mg/a or 2% (Fig. 8 ).
Tapped and untapped recycling potential for nitrogen and phosphorus in Huangyan’s tangerine and water bamboo systems. Solid color areas represent the amount of N (green) and P (orange) that is already being recycled. Dotted areas represent the amount of N (green) and P (orange) that is not yet recycled. t tangerine system, wb water bamboo system
Regarding the water bamboo system, the theoretically recyclable by-product streams include leaves cut and put back into the field while harvesting; peels and rotten water bamboo from the peeling process; rotten water bamboo from the markets; and excreta and rotten water bamboo from consumption. Together, these flows amount to 63,685 Mg/a. The nitrogen content in those flows adds up to 1,122 Mg/a and the phosphorus content to 292 Mg/a.
The materials that are already recycled include water bamboo leaves and peels in the field and rotten water bamboo shoots that are sent to composting or anaerobic treatment after consumption. These flows add up to 42,166 Mg/a, or 66%, of the theoretical recycling potential for fresh matter. The nitrogen contained in the recycled flows accounts for 738 Mg/a or 66%, and the phosphorus for 211 Mg/a or 72% (Fig. 8 ).
Adding up the recycling potentials of the untapped N and P 2 O 5 flows results in 426 Mg/a for Huangyan tangerines and 570 Mg/a for water bamboo (Fig. 9 ). The goal of Taizhou’s Bureau of Agriculture and Rural Affairs is to save 1,182 Mg of “pure nutrients” (N, P 2 O 5 , K 2 O) per year. Hence, recovering all the N and P from the analysed systems would contribute 36% to the achievement of the goal in the case of the tangerines and 48% in the case of the water bamboo. Combining both systems would make a very high contribution to the goal (84%).
Contribution of the potentially recyclable N and P 2 O 5 in both Huangyan systems (Huangyan tangerines and water bamboo) to the goal set by Taizhou’s Five-Year Plan for Agricultural and Rural Modernization on the mass of “pure nutrients” (N, P 2 O 5 , K 2 O) to be saved
The basis for the N and P SFAs for tangerines and water bamboo presented in Sect. “Results” are MFAs conducted in the scope of this study. Data uncertainties for the corresponding material flows are discussed hereunder. The below-mentioned reference flows correspond to 1 Mg of fresh matter (tangerines or water bamboo).
The data representativeness of all flows entering or leaving the agricultural production process in the tangerine’s SFA corresponds to the first or the second level. The “organic fertilizer” input and the “pruning residues and leaves” output account for 21% of the reference flow. The size of these flows combined with their very high data reliability form a good basis for the SFA. The flow “tangerines for export” is the largest of the system, accounting for 90% of the reference flow, and it is defined with high reliability. Due to the flows’ significance, it is recommended to further improve data representativeness and confirm flow quantities by published scientific data or an independent source such as producers or distributors. Most input and output data of the canned tangerines production process was provided by one factory owner ( Yiguan Food ) and therefore was classified as medium reliability data. It could be argued that in reality data representativeness is higher, since it is the largest company producing canned tangerines in Taizhou City [ 31 , 32 , 33 , 34 ]. Further research could be conducted by examining other similar factories or conducting own measurements. The largest flow related to this process, however, only accounts for 7% of the reference flow. Hence, efforts to improve the data quality of this process should be kept within reasonable limits. Three of the four flows of the distribution process correspond to the third data representativeness level. Due to the significance of the “imported tangerines” (31% of the reference flow) and the “tangerines for the markets” (33%) flows, it is suggested to verify the gathered information. More interviews with owners of various markets in Huangyan should be conducted. It was assumed that the consumers are “steady state” humans, i.e. the nutrients consumed in the food will end up in the excreta, based on the fact that the percentage of food retained by the human body for the synthesis of tissues can be considered negligible on average [ 50 ]. Since this data comes from literature, those flows were classified as level four. The “Excreta to wastewater” flow is the largest output (1% of the reference flow) of the consumption process. Its data with defined medium data reliability was obtained from scientific publications of other geographic regions and periods. Since this flow holds a significant nutrient recovery potential, it is recommended to reduce data uncertainty and contact Taizhou’s Environmental Protection Bureau. Unfortunately, during this study, the Bureau repeatedly refused to be interviewed. Requesting a reference letter from the Chinese government could help to obtain data from governmental institutions. All the flows entering and leaving the composting, filtration, and anaerobic treatment processes belong to the data representativeness level 2, which indicates that these flows can picture the real situation in Huangyan relatively well.
The outputs of the agricultural production, “stems” and “leaves” account for 140% and 60% of the reference flow, respectively. Both flows are based on data from one farmer and are, therefore, defined as the third data representativeness level. Roughly 29% of the stems become peels. Together with the amount of rotten water bamboo shoots, it makes ca. 53%, which corresponds with the information obtained from Huangyan Agricultural Bureau—according to which 50% of the vegetable is wasted [ 30 ]. The “leaves” and the “peels” flows are the largest by-product flows in the system and represent the highest nutrient recovery potential. Based on the statements of two farmers (third representativeness level) the leaves are left in the fields during the harvest and the peels are composted. It is recommended to approach water bamboo experts (equivalent to the scientists from the Institute of Citriculture for the tangerines), identify relevant scientific studies, or conduct surveys covering a representative number of farms, to reduce data uncertainty for these relevant material flows. The data employed to model the rest of the processes (distribution, consumption, composting, filtration, and anaerobic treatment) is the same as the one used for the tangerines. Hence, the data representativeness of those processes in both systems is similar and the same recommendations can be drawn (see “ Data uncertainties in the tangerine system ”).
The fresh matter flows served as a basis for the calculation of the N and P flows. During the SFA modelling, the uncertain material flow values were multiplied by estimates for N and P contents obtained from secondary sources. Firstly, the level of uncertainty rises with these mathematical operations. Secondly, the values from the literature refer to studies with different spatial scopes decreasing the accuracy of the calculated P and N flows in this study. To improve accuracy and reduce uncertainty, it is recommended to conduct a sampling campaign to measure the N and P contents of each flow as a basis for the SFAs, as was done in a Danish study [ 51 ]. Although this approach would have exceeded the scope of this study, it could have avoided the need for several assumptions (supplementary material, Tables c, d).
The inputs and outputs of the substance flow processes are not always balanced (see Δ MB flows in the SFAs), since data on energy, soil, water, and gas flows could not be gathered in the scope of this study. The following two paragraphs discuss nutrient imbalances. The mentioned values represent the real annual flows in Huangyan.
The biggest N losses occur as agricultural waste during the tangerine production (311 ± 31 Mg/a) and as peels during the consumption phase (50 ± 10 Mg/a). The N mass fraction of the peels is higher than that of the rest of the fruit. Since most of the peels produced during the consumption phase (80%) are sent to the landfill, this organic material is lost from the system. 807 ± 161 Mg N/a are missing when comparing N from fertilizer application (inputs) and N contents in agricultural products and by-products (outputs). From the applied 1,300 ± 130 Mg N/a, only 13% (173 ± 35 Mg/a) end up in the tangerines. The findings align with previous research, which shows that agriculture is responsible for almost three quarters of all N losses (43% of those losses occur through nitrate leaching to ground and surface waters, 30% through denitrification, and 23% through ammonia emissions) [ 52 ]. Similarly, major P losses in the tangerine system occur during agricultural production. While 621 ± 62 Mg P/a are applied to the tangerine fields, 20 ± 2 Mg/a end up in agricultural waste and 12 ± 2 Mg/a (2%) in produced tangerines. The rest 589 ± 118 Mg P/a (95%) is lost. Prior research has also showed that more than half of the total P losses happen in agriculture, 88% of those losses through P accumulation in soils [ 52 ]. According to George [ 53 ], agricultural production has low P-efficiencies due to solubility and mobility interactions in soils and plants. Also, Golomb and Goldschmidt [ 54 ] stated that less than half (43.7%) of the P-uptake by the mandarin trees ends up in the fruits. The pruning residues and leaves to product ratio calculated in a Croatian study is much lower than the one resulting from this study (0.07 kg/kg versus 0.21 kg/kg) [ 55 ]. This can be explained by the new tangerine farms in Huangyan, since young trees have lower production rates leading to relatively higher amounts of residues [ 30 ]. The pruning residues and leaves to product ratios are expected to decrease in the future, with more mature trees. These are also possible reasons for the low N-uptake of tangerines in Huangyan. Furthermore, the export of tangerines implies N and P losses for Huangyan’s tangerine system, with 176 ± 36 Mg N/a (14%) and 12 ± 2 Mg P/a (2%). No information was found on the local wastewater treatment processes. The literature research indicated that wastewater treatment plants in China are still concerned about removal—and not recovery—of nutrients, and that landfilling is the main sludge treatment method [ 56 ]. Hence, the nutrients contained in excreta (16 ± 6 Mg N/a, 2.4 ± 1.0 Mg P/a) are not recovered. A study conducted in Vietnam quantified regional N and P flows from rice, fruit, and vegetable production. Major P losses modelled in that study also occur during the same life cycle stages and include leachate from agricultural production, solid waste, and excreta from households [ 57 ]. Analyses of soil, surface water, groundwater, and wastewater samples, as well as liquid and gaseous emissions, could provide details on the fate of N and P in the agricultural production and consumption phase.
The production of water bamboo is characterized by higher N and P recovery rates than that of tangerines. Assuming that all nutrients from the leaves, which are cut off during the harvest process, are absorbed by the crops in the wetland, a total of 29% N (550 ± 165 Mg/a) and 56% P (166 ± 50 Mg/a) of the applied nutrients would be recovered. The differences between added nutrients from fertilizer and leaves (inputs) compared to harvested stems (outputs) are 425 ± 127 Mg N/a (22% of applied N) and 73 ± 22 Mg P/a (20%). Other studies investigating flooded rice production systems, showed that the largest losses for P and N were caused by run-off, leaching and accumulation in the soil, as well as emissions to air [ 58 , 59 ]. These potential nutrient losses should be quantified in future studies for the water bamboo production system with leaves decomposing in anaerobic conditions in flooded paddies and peels further processed to compost (19 Mg P/a).
The nutrient losses during the peeling, distribution and consumption phase are 384 Mg N/a and 81 Mg P/a from rotten water bamboo and excreta, which end up in the landfill or the wastewater treatment plant. 50% of the N (1,821 ± 481 Mg/a) and 95% of the P (181 ± 41 Mg/a) entering the system as fertilizers are exported as water bamboo and composted leaves.
In summary, for the agricultural processes, nutrient fixation in soil and nutrient leaching in surface and ground water, as well as gaseous emissions, are assumed to be relevant contributions to the substance imbalances. For the remaining processes, data uncertainties are assumed to be the main cause for imbalances. The N and P SFAs presented in this study, as well as the derived recycling potentials, should be considered as estimates. It is strongly recommended to conduct a sampling campaign and use own measurements to correct these results.
The results suggest that, combining the already recycled streams with the currently unutilized rotten tangerines and water bamboo as well as the resulting excreta from consumption, over 1,503 Mg N/a and 316 Mg P/a (725 Mg P 2 O 5 /a) could theoretically be recovered in Huangyan. Recovering these nutrients would allow a growth of agricultural production of 15% (based on N) and 13% (based on P), while fulfilling the zero-growth action plan of the Chinese government. Upscaling these results from Huangyan district to the region of Taizhou, 11,065 Mg N/a and 1,329 Mg P/a (3,043 Mg P 2 O 5 ) could theoretically be recovered (based on the production numbers for tangerines and water bamboo published in Taizhou’s statistical yearbook) [ 60 ]. Adding up the nutrient mass for N and P 2 O 5 then results in 14,108 Mg nutrients/a. This would exceed the goal of chemical fertilizer reduction (1,182 Mg of nutrients) by almost 12 times. It is worth mentioning that this result would be even better if potassium flows would have also been accounted for. Considering the negative environmental impacts caused by the utilization of chemical fertilizers [ 61 , 62 ], recycling activities can help to enhance environmental sustainability and support China in becoming carbon neutral in 2060.
While this study calculates the theoretical potential for nutrient recovery, several practical challenges must be addressed to enhance feasibility. Primarily, technical barriers exist, such as the efficiency of recovery technologies. For example, net losses of 18% of N were reported during anaerobic digestion [ 63 ], and for composting they can reach up to 50% [ 64 ]. Besides, the agricultural by-products analyzed in this study are from plant origin, and an addition of animal manure (which could imply a collaboration with other stakeholders) might be required to improve the efficiency of the recovery process. These technologies depend on (in some cases advanced) infrastructure and expertise, requiring investment in training and capacity-building for local technicians and farmers. Economic constraints also play a significant role: the initial investment costs for installing nutrient recovery systems can be a big barrier. As a reference, a household-scale biogas digester in China costs between 368 and 792 USD [ 65 ]. To encourage adoption, financial incentives such as subsidies or low-interest loans could be provided.
An important condition for stakeholders to adopt technologies to treat organic wastes for bio-based fertilizers’ production is that there needs to be a market for those fertilizers. Users of organic fertilizers have high quality expectations (nutrient content, nutrient release rates, risk) [ 66 ]. Moreover, a Chinese study on barriers to replace mineral fertilizers with manure showed that farmers have an overall negative attitude, lack of knowledge, and limited experience [ 67 ]. Targeted marketing strategies that provide information on the benefits and costs of implementation are needed, as well as regulatory tools that ensure price stability (to maximise the market share of these fertilizers, they should be 30–46% cheaper than equivalent mineral fertilizers) [ 68 ]. Sutton et al. [ 7 ] stress the importance of a holistic approach to nutrient management, advocating for improved nutrient use efficiency throughout the entire food chain to enhance food and energy production while minimizing losses that cause environmental impacts.
This study quantifies untapped theoretical recycling potentials for N and P throughout the tangerine and water bamboo life cycle in Huangyan, China in 2019 (370 ± 47 Mg N and 24 ± 3 Mg P for tangerines, and 384 ± 136 Mg N and 81 ± 29 Mg P for water bamboo). Hotspots for nutrient recovery include inefficient agricultural residue utilization, low recovery of nutrients from organic residues in municipal solid wastes (most N and P is landfilled), and missing recovery of N and P during wastewater treatment. N and P imports of 427 ± 128 Mg/a for tangerines and water bamboo production are contrasted by N and P exports of 2,189 ± 560 Mg/a. Such imbalances are symptomatic for cash crop producing regions and result in the need of chemical fertilizer imports. Implementing circular economy management approaches such as precision farming, source waste separation, composting, or anaerobic digestion, combined with advanced wastewater treatment concepts could improve N and P recovery.
The recovery of these nutrients could substitute 59% of N and 15% of P supplied by chemical fertilizers for tangerines and water bamboo production in Huangyan, contributing to the circular economy and the achievement of political goals in Taizhou and China. Using untapped nutrients enables further production growth while reducing chemical fertilizer application, contributing to the zero-growth action plan of the Chinese Ministry of Agriculture. The use of organic fertilizers from agricultural residues and municipal solid waste and wastewater allows low-carbon agriculture and improvement of the utilization level of agricultural resources in line with the 14th 5-year plan of the Chinese government, paving the path towards carbon neutrality in 2060. On a regional level, implementing these circular concepts would allow Taizhou to reach the goal of increasing the use of organic fertilizer, digestate from anaerobic digestion, and green manure; improving soil structure and organic matter content. Taizhou could exceed the expected nutrients saving of 0.6 kg (sum of N, P 2 O 5 and K 2 O) per Mu—or more than 1,000 Mg per year (worth over 5 million yuan)—reducing air pollution (mainly caused by straw burning), eutrophication of water bodies, soil erosion and salinization.
Reliable data are crucial for potential assessments, yet currently available Chinese data for regional material and substance flows stems from statistical yearbooks, which lack scientific basis. To address this uncertain data foundation, this study defines data representativeness levels. This enables a first quantification and visualization and supports the identification of data weak points for future studies to address. The study identified theoretical recycling potentials, but several challenges related to technology efficiencies, costs, and users’ acceptance need to be addressed to ensure feasibility.
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We gratefully acknowledge the support of the Open Access Publication Fund of the Technische Universität Berlin.
Open Access funding enabled and organized by Projekt DEAL. This research was funded by the German Ministry for Research and Education (BMBF) in the context of the research and development project Urban–Rural Assembly (URA)–Managing inclusive transformation-to-sustainability processes at the urban–rural interface of the Huangyan-Taizhou region in China (Grant No. 01LE1804A). Julia Santolin is a holder of a Ph.D. fellowship strategic basic research from the Research Foundation—Flanders (Grant No. 1S57222N).
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Biobased Sustainability Engineering (SUSTAIN), Department of Bioscience Engineering, University of Antwerp, Groenenborgerlaan 171, 2020, Antwerp, Belgium
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Santolin, J., Larsen, O.C., Fritze, A. et al. Reaching China’s fertilizer reduction goals through nitrogen and phosphorus recovery: a substance flow analysis case study. J Mater Cycles Waste Manag (2024). https://doi.org/10.1007/s10163-024-02067-6
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