Factors related to the functionality of community-based rural water supply and sanitation program in Indonesia
This study used multinomial logistic regression and Bayesian belief networks (BBN) to analyze factors influencing the functionality of the community-based rural drinking water supply and sanitation program (PAMSIMAS) in Indonesia. 28,936 PAMSIMAS projects in 33 provinces in Indonesia were analyzed....
Ausführliche Beschreibung
Autor*in: |
D. Daniel [verfasserIn] Trimo Pamudji Al Djono [verfasserIn] Widya Prihesti Iswarani [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2023 |
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Schlagwörter: |
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Übergeordnetes Werk: |
In: Geography and Sustainability - Elsevier, 2020, 4(2023), 1, Seite 29-38 |
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Übergeordnetes Werk: |
volume:4 ; year:2023 ; number:1 ; pages:29-38 |
Links: |
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DOI / URN: |
10.1016/j.geosus.2022.12.002 |
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Katalog-ID: |
DOAJ080420796 |
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10.1016/j.geosus.2022.12.002 doi (DE-627)DOAJ080420796 (DE-599)DOAJfd98e5727d5547d78feae6c294bad9e4 DE-627 ger DE-627 rakwb eng G1-922 GE1-350 D. Daniel verfasserin aut Factors related to the functionality of community-based rural water supply and sanitation program in Indonesia 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This study used multinomial logistic regression and Bayesian belief networks (BBN) to analyze factors influencing the functionality of the community-based rural drinking water supply and sanitation program (PAMSIMAS) in Indonesia. 28,936 PAMSIMAS projects in 33 provinces in Indonesia were analyzed. The data indicates that 85.4% of the water supply systems were fully functioning, 9.1% were partially functioning, and 5.5% were not functioning. In the regression analysis, good management is positively associated with functionality and a high investment per capita is negatively associated with the functionality. The latter suggests the need for comprehensive economic analysis in the feasibility study in scattered housing sites and remote-undeveloped areas. We also found that high community participation at the beginning of the project was associated with the not functioning system, while women’s participation was positively associated with the functionality. Furthermore, the household connection is more likely to be functioning than communal connection. BBN analysis shows if the beneficiaries do not pay for water, the probability of not functioning systems is 20 times higher than systems with fee collection. Moreover, the combination of strong management, strong financial status, and household connection rather than communal connection increases the probability of fully functioning to 98%. Improvement of data collection is also necessary to monitor the current conditions of all PAMSIMAS systems in Indonesia. This study offers a country-level perspective for better implementation of the community-based rural water supply and sanitation program in developing countries. Rural water supply PAMSIMAS Functionality Indonesia Bayesian belief networks Logistic regression Geography (General) Environmental sciences Trimo Pamudji Al Djono verfasserin aut Widya Prihesti Iswarani verfasserin aut In Geography and Sustainability Elsevier, 2020 4(2023), 1, Seite 29-38 (DE-627)1697192335 26666839 nnns volume:4 year:2023 number:1 pages:29-38 https://doi.org/10.1016/j.geosus.2022.12.002 kostenfrei https://doaj.org/article/fd98e5727d5547d78feae6c294bad9e4 kostenfrei http://www.sciencedirect.com/science/article/pii/S2666683922000876 kostenfrei https://doaj.org/toc/2666-6839 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 4 2023 1 29-38 |
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D. Daniel misc G1-922 misc GE1-350 misc Rural water supply misc PAMSIMAS misc Functionality misc Indonesia misc Bayesian belief networks misc Logistic regression misc Geography (General) misc Environmental sciences Factors related to the functionality of community-based rural water supply and sanitation program in Indonesia |
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Factors related to the functionality of community-based rural water supply and sanitation program in Indonesia |
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This study used multinomial logistic regression and Bayesian belief networks (BBN) to analyze factors influencing the functionality of the community-based rural drinking water supply and sanitation program (PAMSIMAS) in Indonesia. 28,936 PAMSIMAS projects in 33 provinces in Indonesia were analyzed. The data indicates that 85.4% of the water supply systems were fully functioning, 9.1% were partially functioning, and 5.5% were not functioning. In the regression analysis, good management is positively associated with functionality and a high investment per capita is negatively associated with the functionality. The latter suggests the need for comprehensive economic analysis in the feasibility study in scattered housing sites and remote-undeveloped areas. We also found that high community participation at the beginning of the project was associated with the not functioning system, while women’s participation was positively associated with the functionality. Furthermore, the household connection is more likely to be functioning than communal connection. BBN analysis shows if the beneficiaries do not pay for water, the probability of not functioning systems is 20 times higher than systems with fee collection. Moreover, the combination of strong management, strong financial status, and household connection rather than communal connection increases the probability of fully functioning to 98%. Improvement of data collection is also necessary to monitor the current conditions of all PAMSIMAS systems in Indonesia. This study offers a country-level perspective for better implementation of the community-based rural water supply and sanitation program in developing countries. |
abstractGer |
This study used multinomial logistic regression and Bayesian belief networks (BBN) to analyze factors influencing the functionality of the community-based rural drinking water supply and sanitation program (PAMSIMAS) in Indonesia. 28,936 PAMSIMAS projects in 33 provinces in Indonesia were analyzed. The data indicates that 85.4% of the water supply systems were fully functioning, 9.1% were partially functioning, and 5.5% were not functioning. In the regression analysis, good management is positively associated with functionality and a high investment per capita is negatively associated with the functionality. The latter suggests the need for comprehensive economic analysis in the feasibility study in scattered housing sites and remote-undeveloped areas. We also found that high community participation at the beginning of the project was associated with the not functioning system, while women’s participation was positively associated with the functionality. Furthermore, the household connection is more likely to be functioning than communal connection. BBN analysis shows if the beneficiaries do not pay for water, the probability of not functioning systems is 20 times higher than systems with fee collection. Moreover, the combination of strong management, strong financial status, and household connection rather than communal connection increases the probability of fully functioning to 98%. Improvement of data collection is also necessary to monitor the current conditions of all PAMSIMAS systems in Indonesia. This study offers a country-level perspective for better implementation of the community-based rural water supply and sanitation program in developing countries. |
abstract_unstemmed |
This study used multinomial logistic regression and Bayesian belief networks (BBN) to analyze factors influencing the functionality of the community-based rural drinking water supply and sanitation program (PAMSIMAS) in Indonesia. 28,936 PAMSIMAS projects in 33 provinces in Indonesia were analyzed. The data indicates that 85.4% of the water supply systems were fully functioning, 9.1% were partially functioning, and 5.5% were not functioning. In the regression analysis, good management is positively associated with functionality and a high investment per capita is negatively associated with the functionality. The latter suggests the need for comprehensive economic analysis in the feasibility study in scattered housing sites and remote-undeveloped areas. We also found that high community participation at the beginning of the project was associated with the not functioning system, while women’s participation was positively associated with the functionality. Furthermore, the household connection is more likely to be functioning than communal connection. BBN analysis shows if the beneficiaries do not pay for water, the probability of not functioning systems is 20 times higher than systems with fee collection. Moreover, the combination of strong management, strong financial status, and household connection rather than communal connection increases the probability of fully functioning to 98%. Improvement of data collection is also necessary to monitor the current conditions of all PAMSIMAS systems in Indonesia. This study offers a country-level perspective for better implementation of the community-based rural water supply and sanitation program in developing countries. |
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