How to cite this paper
Cahyadie, B., Juanda, B., Fauzi, A & Kinseng, R. (2024). Policy framework for updating and utilizing poverty data using MULTIPOL method in Bekasi Regency, Indonesia.Decision Science Letters , 13(4), 867-880.
Refrences
Adetama, D. S., Fauzi, A., Juanda, B., & Hakim, D. B. (2022). A Policy Framework and Prediction on Low Carbon Development in the Agricultural Sector in Indonesia. International Journal of Sustainable Development and Planning, 17(7), 2209–2219. https://doi.org/10.18280/ijsdp.170721
Alisjahbana, A., & Yusuf, A. A. (2003). Poverty Dynamics In Indonesia: Panel Data Evidence. Working Paper in Center for Economics and Development Studies, Padjadjaran University, (6), 1–16.
Ariyani, N., & Fauzi, A. (2023). Pathways toward the Transformation of Sustainable Rural Tourism Management in Central Java, Indonesia. Sustainability (Switzerland), 15(3). https://doi.org/10.3390/su15032592
Bamberger, M., Vaessen, J., & Raimondo, E. (2016). Dealing With Complexity in Development Evaluation: A Practical Approach. SAGE Publications, Inc. https://doi.org/https://doi.org/10.4135/9781483399935
Banerjee, A. V, & Duflo, E. (2015). Poor Economics: A Radical Rethinking of The Way to Fight Global Poverty (1st ed.). New York: PublicAffairs.
Blumenstock, J. E. (2016). Fighting poverty with data. Science, 353(6301), 753–754. https://doi.org/10.1126/science.aah5217
BPS. (2021). Social Assistance Program Efectivity Survey.
Chambers, R. (1994). Participatory rural appraisal (PRA): Analysis of experience. World Development, 22(9), 1253–1268. https://doi.org/10.1016/0305-750X(94)90003-5
Chandy, L. (2015). Counting the poor: The changing role of poverty data. Journal of Economic Inequality, 13(3), 345–361.
Chetty, R., Hendren, N., Kline, P., & Saez, E. (2014). Where is The Land of Opportunity? The Geography of Intergenerational Mobility in the United States. The Quarterly Journal of Economics, 129(4), 1553–1623. https://doi.org/10.1093/qje/qju022.Advance
Deaton, A. S. (2018). The Analysis of Household Surveys: Micro Econometric Analysis for Development Policy. The Johns Hopkins University Press,.
Engstrom, R., Hersh, J., & Newhouse, D. (2017). Poverty from Space: Using High Resolution Satellite Imagery for Estimating Economic Well-being. World Bank Economic Review (Vol. 36). https://doi.org/10.1093/wber/lhab015
Fauzi, A. (2019). Teknik Analisis Keberlanjutan. PT. Gramedia Pustaka Utama.
Filho, W. L., Lovren, V. O., Will, M., Salvia, A. L., & Frankenberger, F. (2021). Poverty: A central barrier to the implementation of the UN Sustainable Development Goals. Environmental Science and Policy, 125(April), 96–104. https://doi.org/10.1016/j.envsci.2021.08.020
Fox, J. (2007). The uncertain relationship between transparency and accountability. Development in Practice, 17(4–5), 663–671. https://doi.org/10.1080/09614520701469955
Glewwe, P., & Kanaan, O. (1989). Targeting assistance to the poor using household survey data. Retrieved from http://ideas.repec.org/p/wbk/wbrwps/225.html
Gomez, R. J. M., Herrera, T. J. F., & Sierra, C. A. S. (2020). Applying MULTIPOL to Determine the Relevance of Projects in a Strategic IT Plan for an Educational Institution. Tecnura, 24(66), 76–84. https://doi.org/10.14483/22487638.16176
Grosh, M., & Glewwe, P. (2000). Designing household survey questionnaires for developing countries : lessons from 15 years of the Living Standards Measurement Study : Volume One (English). Washington, D.C. Retrieved from http://documents.worldbank.org/curated/en/452741468778781879/Volume-One
Hanna, R., & Olken, B. A. (2018). Universal basic incomes versus targeted transfers: Anti-poverty programs in developing countries. Journal of Economic Perspectives, 32(4), 201–226. https://doi.org/10.1257/jep.32.4.201
Hilbert, M. (2016). Big Data for Development: A Review of Promises and Challenges. Development Policy Review, 34(1), 135–174. https://doi.org/10.1111/dpr.12142
Hulme, D., & Shepherd, A. (2003). Conceptualizing chronic poverty. World Development, 31(3), 403–423. https://doi.org/10.1016/S0305-750X(02)00222-X
Jean, N., Burke, M., Xie, M., Davis, W. M., Lobell, D. B., & Ermon, S. (2016). Combining satellite imagery and machine learning to predict poverty. Science, 353(6301), 790–794. https://doi.org/10.1126/science.aaf7894
Juanda, B. (2023a, July 6). Pentingnya Data Presisi Dalam Penanggulangan Kemiskinan. Republika. Retrieved from https://republika.id/posts/42813/pentingnya-data-presisi-dalam-penanggulangan-kemiskinan
Juanda, B. (2023b, August 3). Urgensi Kebijakan Satu Data Kemiskinan. Republika. Retrieved from https://www.republika.id/posts/43874/urgensi-kebijakan-satu-data-kemiskinan
Khandker, S. R., Koolwal, G. B., & Samad, H. A. (2010). Handbook on Impact Evaluation: Quantitative Methods and Practices. Learning (Vol. 1). Washington DC: World Bank.
Kinseng, R. A. (2022, February 25). Rumitnya Melenyapkan Kemiskinan Ekstrem di Desa. Kompas. Retrieved from https://www.kompas.id/baca/artikelopini/2022/02/24/rumitnya-melenyapkan-kemiskinan-ekstrem-di-desa?loc=hard_paywall
Leite, P. (2014). Effective Targeting for the Poor and Vulnerable. World Bank: Washington D.C., USA., Technical(June).
Leite, Phillippe, George, T., Sun, C., Jones, T., & Lindert, K. (2017). Social Registries for Social Assistance and Beyond. Social Registries for Social Assistance and Beyond, (1704). https://doi.org/10.1596/28284
Lowder, S. K., Bertini, R., & Croppenstedt, A. (2017). Poverty, social protection and agriculture: Levels and trends in data. Global Food Security, 15(June), 94–107. https://doi.org/10.1016/j.gfs.2017.06.001
Minoiu, C., & Reddy, S. G. (2014). Kernel density estimation on grouped data: The case of poverty assessment. Journal of Economic Inequality, 12(2), 163–189. https://doi.org/10.1007/s10888-012-9220-9
Mood, C., & Jonsson, J. O. (2016). The Social Consequences of Poverty: An Empirical Test on Longitudinal Data. Social Indicators Research, 127(2), 633–652. https://doi.org/10.1007/s11205-015-0983-9
Panagiotopoulou, M., & Stratigea, A. (2014). A participatory methodological framework for paving alternative local tourist development paths—the case of Sterea Ellada Region. European Journal of Futures Research, 2(1). https://doi.org/10.1007/s40309-014-0044-7
Purwono, R., Wardana, W. W., Haryanto, T., & Khoerul Mubin, M. (2021). Poverty dynamics in Indonesia: empirical evidence from three main approaches. World Development Perspectives, 23, 100346. https://doi.org/10.1016/j.wdp.2021.100346
Ramani, G., Go, A., & Olney, D. (2020). Gender, poverty and disability in the National Action Plan for Food and Nutrition 2017-2019 of Indonesia and ways forward. Intl Food Policy Res Inst.
Ravallion, M. (2016). The Economics of Poverty: History, Mesurement, and Policy. New York: Oxford Academic. https://doi.org/https://doi.org/10.1093/acprof:oso/9780190212766.001.0001
Rustini, N. K. A., Budhi, M. K. S., Setyari, N. P. W., & Suasih, N. N. R. (2023). Designing pathways towards sustainable tourism in Soka Tourism Bali: A MULTIPOL policy analysis. Decision Science Letters, 12(4), 649–658. https://doi.org/10.5267/j.dsl.2023.9.001
Sen, A. (1988). The Concept of Development. In Handbook of Development Economics (Vol. 1, pp. 9–26). Elsevier Science Publishers B.V. https://doi.org/10.1016/S0166-4115(09)60004-2
Stratigea, A. (2013). Participatory policy making in foresight studies at the regional level: A methodological approach. Regional Science Inquiry, 5(1), 145–161.
Sumarto, S., Suryahadi, A., & Widyanti, W. (2005). Assessing the impact of Indonesian social safety net programmes on household welfare and poverty dynamics. European Journal of Development Research, 17(1), 155–177. https://doi.org/10.1080/09578810500066746
Tarozzi, A., & Deaton, A. (2009). Using Cencus and Survey Data to Estimate Poverty and Inequality for Small Areas. Review of Economics and Statistics, 91(4), 773–792.
TNP2K. (2022). Data as the Key to Successful Elimination of Extreme Poverty. Retrieved from https://www.tnp2k.go.id/articles/data-as-the-key-to-successful-elimination-of-extreme-poverty
United Nations. (2008). Principles and Recommendations for Population and Housing Censuses (Revision 2). New York: United Nations. Retrieved from unstats.un.org/unsd/.../sources/census/.../P&R_ Rev2.pdf
Wijayanto, Y., Fauzi, A., Rustiadi, E., & Syartinilia. (2022). Policy development of urban railway services sustainability in Indonesia: A multipol application. IOP Conference Series: Earth and Environmental Science, 1109(1). https://doi.org/10.1088/1755-1315/1109/1/012047
Alisjahbana, A., & Yusuf, A. A. (2003). Poverty Dynamics In Indonesia: Panel Data Evidence. Working Paper in Center for Economics and Development Studies, Padjadjaran University, (6), 1–16.
Ariyani, N., & Fauzi, A. (2023). Pathways toward the Transformation of Sustainable Rural Tourism Management in Central Java, Indonesia. Sustainability (Switzerland), 15(3). https://doi.org/10.3390/su15032592
Bamberger, M., Vaessen, J., & Raimondo, E. (2016). Dealing With Complexity in Development Evaluation: A Practical Approach. SAGE Publications, Inc. https://doi.org/https://doi.org/10.4135/9781483399935
Banerjee, A. V, & Duflo, E. (2015). Poor Economics: A Radical Rethinking of The Way to Fight Global Poverty (1st ed.). New York: PublicAffairs.
Blumenstock, J. E. (2016). Fighting poverty with data. Science, 353(6301), 753–754. https://doi.org/10.1126/science.aah5217
BPS. (2021). Social Assistance Program Efectivity Survey.
Chambers, R. (1994). Participatory rural appraisal (PRA): Analysis of experience. World Development, 22(9), 1253–1268. https://doi.org/10.1016/0305-750X(94)90003-5
Chandy, L. (2015). Counting the poor: The changing role of poverty data. Journal of Economic Inequality, 13(3), 345–361.
Chetty, R., Hendren, N., Kline, P., & Saez, E. (2014). Where is The Land of Opportunity? The Geography of Intergenerational Mobility in the United States. The Quarterly Journal of Economics, 129(4), 1553–1623. https://doi.org/10.1093/qje/qju022.Advance
Deaton, A. S. (2018). The Analysis of Household Surveys: Micro Econometric Analysis for Development Policy. The Johns Hopkins University Press,.
Engstrom, R., Hersh, J., & Newhouse, D. (2017). Poverty from Space: Using High Resolution Satellite Imagery for Estimating Economic Well-being. World Bank Economic Review (Vol. 36). https://doi.org/10.1093/wber/lhab015
Fauzi, A. (2019). Teknik Analisis Keberlanjutan. PT. Gramedia Pustaka Utama.
Filho, W. L., Lovren, V. O., Will, M., Salvia, A. L., & Frankenberger, F. (2021). Poverty: A central barrier to the implementation of the UN Sustainable Development Goals. Environmental Science and Policy, 125(April), 96–104. https://doi.org/10.1016/j.envsci.2021.08.020
Fox, J. (2007). The uncertain relationship between transparency and accountability. Development in Practice, 17(4–5), 663–671. https://doi.org/10.1080/09614520701469955
Glewwe, P., & Kanaan, O. (1989). Targeting assistance to the poor using household survey data. Retrieved from http://ideas.repec.org/p/wbk/wbrwps/225.html
Gomez, R. J. M., Herrera, T. J. F., & Sierra, C. A. S. (2020). Applying MULTIPOL to Determine the Relevance of Projects in a Strategic IT Plan for an Educational Institution. Tecnura, 24(66), 76–84. https://doi.org/10.14483/22487638.16176
Grosh, M., & Glewwe, P. (2000). Designing household survey questionnaires for developing countries : lessons from 15 years of the Living Standards Measurement Study : Volume One (English). Washington, D.C. Retrieved from http://documents.worldbank.org/curated/en/452741468778781879/Volume-One
Hanna, R., & Olken, B. A. (2018). Universal basic incomes versus targeted transfers: Anti-poverty programs in developing countries. Journal of Economic Perspectives, 32(4), 201–226. https://doi.org/10.1257/jep.32.4.201
Hilbert, M. (2016). Big Data for Development: A Review of Promises and Challenges. Development Policy Review, 34(1), 135–174. https://doi.org/10.1111/dpr.12142
Hulme, D., & Shepherd, A. (2003). Conceptualizing chronic poverty. World Development, 31(3), 403–423. https://doi.org/10.1016/S0305-750X(02)00222-X
Jean, N., Burke, M., Xie, M., Davis, W. M., Lobell, D. B., & Ermon, S. (2016). Combining satellite imagery and machine learning to predict poverty. Science, 353(6301), 790–794. https://doi.org/10.1126/science.aaf7894
Juanda, B. (2023a, July 6). Pentingnya Data Presisi Dalam Penanggulangan Kemiskinan. Republika. Retrieved from https://republika.id/posts/42813/pentingnya-data-presisi-dalam-penanggulangan-kemiskinan
Juanda, B. (2023b, August 3). Urgensi Kebijakan Satu Data Kemiskinan. Republika. Retrieved from https://www.republika.id/posts/43874/urgensi-kebijakan-satu-data-kemiskinan
Khandker, S. R., Koolwal, G. B., & Samad, H. A. (2010). Handbook on Impact Evaluation: Quantitative Methods and Practices. Learning (Vol. 1). Washington DC: World Bank.
Kinseng, R. A. (2022, February 25). Rumitnya Melenyapkan Kemiskinan Ekstrem di Desa. Kompas. Retrieved from https://www.kompas.id/baca/artikelopini/2022/02/24/rumitnya-melenyapkan-kemiskinan-ekstrem-di-desa?loc=hard_paywall
Leite, P. (2014). Effective Targeting for the Poor and Vulnerable. World Bank: Washington D.C., USA., Technical(June).
Leite, Phillippe, George, T., Sun, C., Jones, T., & Lindert, K. (2017). Social Registries for Social Assistance and Beyond. Social Registries for Social Assistance and Beyond, (1704). https://doi.org/10.1596/28284
Lowder, S. K., Bertini, R., & Croppenstedt, A. (2017). Poverty, social protection and agriculture: Levels and trends in data. Global Food Security, 15(June), 94–107. https://doi.org/10.1016/j.gfs.2017.06.001
Minoiu, C., & Reddy, S. G. (2014). Kernel density estimation on grouped data: The case of poverty assessment. Journal of Economic Inequality, 12(2), 163–189. https://doi.org/10.1007/s10888-012-9220-9
Mood, C., & Jonsson, J. O. (2016). The Social Consequences of Poverty: An Empirical Test on Longitudinal Data. Social Indicators Research, 127(2), 633–652. https://doi.org/10.1007/s11205-015-0983-9
Panagiotopoulou, M., & Stratigea, A. (2014). A participatory methodological framework for paving alternative local tourist development paths—the case of Sterea Ellada Region. European Journal of Futures Research, 2(1). https://doi.org/10.1007/s40309-014-0044-7
Purwono, R., Wardana, W. W., Haryanto, T., & Khoerul Mubin, M. (2021). Poverty dynamics in Indonesia: empirical evidence from three main approaches. World Development Perspectives, 23, 100346. https://doi.org/10.1016/j.wdp.2021.100346
Ramani, G., Go, A., & Olney, D. (2020). Gender, poverty and disability in the National Action Plan for Food and Nutrition 2017-2019 of Indonesia and ways forward. Intl Food Policy Res Inst.
Ravallion, M. (2016). The Economics of Poverty: History, Mesurement, and Policy. New York: Oxford Academic. https://doi.org/https://doi.org/10.1093/acprof:oso/9780190212766.001.0001
Rustini, N. K. A., Budhi, M. K. S., Setyari, N. P. W., & Suasih, N. N. R. (2023). Designing pathways towards sustainable tourism in Soka Tourism Bali: A MULTIPOL policy analysis. Decision Science Letters, 12(4), 649–658. https://doi.org/10.5267/j.dsl.2023.9.001
Sen, A. (1988). The Concept of Development. In Handbook of Development Economics (Vol. 1, pp. 9–26). Elsevier Science Publishers B.V. https://doi.org/10.1016/S0166-4115(09)60004-2
Stratigea, A. (2013). Participatory policy making in foresight studies at the regional level: A methodological approach. Regional Science Inquiry, 5(1), 145–161.
Sumarto, S., Suryahadi, A., & Widyanti, W. (2005). Assessing the impact of Indonesian social safety net programmes on household welfare and poverty dynamics. European Journal of Development Research, 17(1), 155–177. https://doi.org/10.1080/09578810500066746
Tarozzi, A., & Deaton, A. (2009). Using Cencus and Survey Data to Estimate Poverty and Inequality for Small Areas. Review of Economics and Statistics, 91(4), 773–792.
TNP2K. (2022). Data as the Key to Successful Elimination of Extreme Poverty. Retrieved from https://www.tnp2k.go.id/articles/data-as-the-key-to-successful-elimination-of-extreme-poverty
United Nations. (2008). Principles and Recommendations for Population and Housing Censuses (Revision 2). New York: United Nations. Retrieved from unstats.un.org/unsd/.../sources/census/.../P&R_ Rev2.pdf
Wijayanto, Y., Fauzi, A., Rustiadi, E., & Syartinilia. (2022). Policy development of urban railway services sustainability in Indonesia: A multipol application. IOP Conference Series: Earth and Environmental Science, 1109(1). https://doi.org/10.1088/1755-1315/1109/1/012047