Highland Rural Welfare
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Apr 25, 2024
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Abstract
Welfare, as the purpose of all economies, is often held backed poverty in economic society. Numerous studies indicated a negative correlation between access to clean water and poverty levels, particularly in rural areas in the highlands where people experience difficulties in procuring clean water. The study of poverty is indirectly related to the level of welfare. Nevertheless, the focus on welfare is still relatively lesser than on poverty. This study is aimed to conduct an empirical study of rural welfare in the highlands by analyzing the determinants that influence the occurrence of different classifications on people's welfare levels. The study was conducted in Bantaragung Village, Sindangwangi District, Majalengka Regency, West Java with a sample of 750 households. This study employed a welfare dimension approach by using socio-demographic and economic variables, including access to clean water, as well as a multidimensional poverty approach which was then modeled in an ordered logit. The results found indicated that the socio-demographic variables that determine the level of family welfare were the age of head of the family and the number of family members along with their education. Meanwhile, the economic variables that influence it were asset ownership and income levels.
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PURWANDAYA, Budhi; AGUSTIN, Heny.
Highland Rural Welfare.
SOCA: Jurnal Sosial Ekonomi Pertanian, [S.l.], v. 18, n. 1, p. 17–30, apr. 2024.
ISSN 2615-6628.
Available at: <https://ojs.unud.ac.id/index.php/soca/article/view/92188>. Date accessed: 15 nov. 2024.
doi: https://doi.org/10.24843/SOCA.2024.v18.i01.p02.
Section
Articles
References
Aguilar, G. R., & Sumner, A. (2019). Who Are the World ’ s Poor ? Working Paper 499 January 2019. Global Policy, January 2019, 39. https://www.cgdev.org/sites/default/files/who-are-worlds-poor-new-profile-global-multidimensional-poverty.pd
Artha, D. R. P., & Dartanto, T. (2018). The multidimensional approach to poverty measurement in Indonesia: Measurements, determinants and its policy implications. Journal of Economic Cooperation and Development, 39(3), 1–38. https://www.lpem.org/wp-content/uploads/2015/01/WP-LPEM_02_TeguhDes.pdf
Bérenger, V. (2016). Measuring multidimensional poverty in three Southeast Asian countries using ordinal variables. In The Asian “Poverty Miracle”: Impressive Accomplishments or Incomplete Achievements? (Issue 618). https://doi.org/10.4337/9781785369155
BPS. (2019). Kecamatan Sindangwangi Dalam Angka 2019. In Badan Pusat Statistik.
Brown, D., Stephens, E., Ouma, J., Murithi, F., & Barrett, C. B. (2006). Livelihood strategies in the rural Kenyan highlands. African Journal of Agricultural and Resource Economics, 1(1), 21–36. http://ageconsearch.umn.edu/bitstream/57019/2/0101 Barrett - FINAL & Fr abstract 5 Mar.pdf%5Cnhttp://econpapers.repec.org/article/agsafjare/57019.htm
Cerio, C. T., Calalo, F. C., Marasigan, S. B., & Dizon, J. T. (2019). Using counting and participatory approaches in multidimensional poverty assessment: The case of upland farming households in the Philippines. Cogent Social Sciences, 5(1). https://doi.org/10.1080/23311886.2019.1665397
Falola, A., Mukaila, R., Akanbi, S. O., & Chiamaka, R. (2023). Youths ’ Contribution to Household Welfare in Rural Areas. April. https://doi.org/10.29173/cjfy29907
Greene, W. H., & Hensher, D. A. (2009). Modeling ordered choices: A primer. In Modeling Ordered Choices: A Primer. https://doi.org/10.1017/CBO9780511845062
Hove, J., D’Ambruoso, L., Mabetha, D., Van Der Merwe, M., Byass, P., Kahn, K., Khosa, S., Witter, S., & Twine, R. (2019). “Water is life”: Developing community participation for clean water in rural South Africa. BMJ Global Health, 4(3), 1–13. https://doi.org/10.1136/bmjgh-2018-001377
Irwan, M., & Moeis, J. P. (2019). Transmisi Kemiskinan Antargenerasi di Indonesia Tahun 1993-2014, Studi Data IFLS. Jurnal Ekonomi Dan Pembangunan Indonesia, 19(2), 209–223. https://doi.org/10.21002/jepi.v19i2.728
Krejcie, R., V.Morgan, & W., D. (1970). (1970) “Determining sample Size for Research Activities”, Educational and Psychological Measurement. International Journal of Employment Studies, 18(1), 89–123. https://doi.org/10.1177/001316447003000308
Kumar, S., & Sarkar, S. k. (2016). Structure of Household Income and Expenditure and Its impact on Poverty Alleviation: Vol. IV (Issue Ix). http://www.scirj.org/papers-0916/scirj-P0916358.pdf
López-Álvarez, B., Rizo-Fernández, Z., Ramos-Leal, J. A., Morán-Ramírez, J., & Almanza-Tovar, Ó. G. (2019). Water poverty index in arid zones: The Barril aquifer, Santo Domingo, San Luis Potosí, Mexico. Revista Internacional de Contaminacion Ambiental, 35(1), 35–46. https://doi.org/10.20937/RICA.2019.35.01.03
LPPM, U. T. (2021). Pendataan Keluarga Desa Cerdas Mandiri Lestari. Rajawali Pers.
Mohammadi, H., Torabi, S., & Dogani, A. (2015). Application of Ordered Logit Model in Investigating the factors Affecting Peopleâ™s Income (A Case Study in Tehran City). International Journal of Academic Research in Economics and Management Sciences, 4(1), 166–178. https://doi.org/10.6007/ijarems/v4-i1/1608
Najitama, E., Maski, G., & Manzilati, A. (2020). Analysis of multidimensional poverty dynamics in Indonesia: The effect of demographic and institutional factors. Journal of Innovation in Business and Economics, 4(02), 87–96. https://doi.org/10.22219/jibe.v4i02.15630
Nguyen, H. M., & Nguyen, T. A. (2019). Investigating the determinants of household welfare in the Central Highland, Vietnam. Cogent Economics and Finance, 7(1). https://doi.org/10.1080/23322039.2019.1684179
OECD. (2008). Water Security and Pro-Poor Growth. Natural Resources and Pro-Poor Growth: The Economics and Politics. https://www.oecd-ilibrary.org/docserver/9789264060258-2-en.pdf?expires=1667919256&id=id&accname=guest&checksum=B95B93CC8AA7074F5C3AA6C57171B58A
Oksuzler, O. (2008). Does Education Pay off in Turkey? An Ordered Logit Approach. The Empirical Economics Letters, 7(2), 213–221. https://ideas.repec.org/p/pra/mprapa/14375.html
Putra, H. S., & Rianto, N. (2016). Pengaruh Akses Air Bersih Terhadap Kemiskinan Di Indonesia : Pengujian Data Rumahtangga. 65–76. http://download.garuda.kemdikbud.go.id/article.php?article=954319&val=14695&title=AKSES AIR BERSIH DAN KEMISKINAN DI INDONESIA PENGUJIAN DATA RUMAH TANGGA
Rahmawati, I., & Rudiarto, I. (2022). Analisis Kesejahteraan Masyarakat Petani Dataran Tinggi Dieng Menggunakan Pendekatan Penghidupan Berkelanjutan. Jurnal Ilmu Lingkungan, 20(3), 637–645. https://doi.org/10.14710/jil.20.3.637-645
Rodriguez, J. G., Fernandez-ramoz, Jennifer, Garcia-Guerra, Ana K, & Morales-Ramirez, G. (2015). Munich Personal RePEc Archive The dynamics of poverty in Mexico : A multinomial logistic regression analysis. International Journal of Social Economics, 43(11), 1082–1095. https://mpra.ub.uni-muenchen.de/77743/1/MPRA_paper_77743.pdf
Salam, A., Pratomo, D. S., & Saputra, P. M. A. (2020). Sosio-economic determinants of multidimensional poverty in the rural and urban areas of East Java. International Journal of Scientific and Technology Research, 9(4), 1445–1449. http://www.ijstr.org/final-print/apr2020/Sosio-economic-Determinants-Of-Multidimensional-Poverty-In-The-Rural-And-Urban-Areas-Of-East-Java.pdf
Sen, A. (1976). Poverty: An Ordinal Approach to Measurement Amartya. 44(2), 219–231. https://doi.org/10.2307/1912718
Staub, C., Gilot, A., Pierre, M., Murray, G., & Koenig, R. (2020). Coping with climatic shocks: local perspectives from Haiti’s rural mountain regions. Population and Environment, 42(2), 146–158. https://doi.org/10.1007/s11111-020-00351-9
Stewart, A., Seepersad, C., Hosein, A., Tripathi, V., Mohammed, A., Agard, J., Cashman, A., Chadee, D., & Ramsubhag, A. (2022). Water Poverty Indices of three rural communities in the southern Caribbean. Water Supply, 22(3), 3158–3177. https://doi.org/10.2166/WS.2021.409
Sukartini, N. M., & Samsubar, S. (2016). Akses Air Bersih di Indonesia Access to Clean Water in Indonesia. Jurnal Ekonomi Kuantitatif Terapan, 9(2), 89–98. https://www.neliti.com/publications/228355/akses-air-bersih-di-indonesia
Sumargo, B., & Simanjuntak, N. M. M. (2019). Deprivasi Utama Kemiskinan Multidimensi Antarprovinsi di Indonesia. Jurnal Ekonomi Dan Pembangunan Indonesia, 19(2), 160–172. https://doi.org/10.21002/jepi.v19i2.793
Tiku, N. E., Saleh, P., Waziri-Ugwu, P. R., Ibrahim, U., & Nafisat, N. (2018). Multinomial Logit Estimation of Income Sources by Watermelon Farmers in Northeastern Nigeria. International Journal of Environment, Agriculture and Biotechnology, 3(4), 1441–1449. https://doi.org/10.22161/ijeab/3.4.40
Todaro & Smith. (2015). Economic Development (Twelfth Edition).
Tran, Q., Tuyen, Tran, A., Tran, T. and T., & Nguyen, N. and T. (2018). Munich Personal RePEc Archive Education and the livelihood of households in the Northwest Region, Vietnam The role of education in the livelihood of households in the Northwest Region, Vietnam Compliance with Ethical Standards. 90414.
Tsehay, A. S., & Bauer, S. (2012). Poverty and vulnerability dynamics: Empirical evidence from smallholders in northern highlands of ethiopia. Quarterly Journal of International Agriculture, 51(4), 301–332. https://doi.org/10.22004/ag.econ.155481
Tsenkwo, BM., J., Fanneh, M. M., & Ceesay, E. K. (2019). A Panel Data Analysis of Poverty Dynamics and Public Policy Response in Selected West African Countries. International Journal of Science and Research (IJSR), 8(1), 2160–2166. https://www.ijsr.net/archive/v8i1/ART20194678.pdf
Umaña-Hermosilla, B., de la Fuente-Mella, H., Elórtegui-Gómez, C., & Fonseca-Fuentes, M. (2020). Multinomial logistic regression to estimate and predict the perceptions of individuals and companies in the face of the covid-19 pandemic in the Ñuble region, Chile. Sustainability (Switzerland), 12(22), 1–20. https://doi.org/10.3390/su12229553
Williams, R. (2021). Ordered Logit Model-Basic & Intermediate Topics. In Encyclopedia of Quality of Life and Well-Being Research. https://doi.org/10.1007/978-3-319-69909-7_2023-2
World, B. (2020). Reversals of Fortune (Poverty and Shared Prosperity 2020). In The World Bank-Washington DC-USA. https://doi.org/10.2307/j.ctv14npk3p.9
Artha, D. R. P., & Dartanto, T. (2018). The multidimensional approach to poverty measurement in Indonesia: Measurements, determinants and its policy implications. Journal of Economic Cooperation and Development, 39(3), 1–38. https://www.lpem.org/wp-content/uploads/2015/01/WP-LPEM_02_TeguhDes.pdf
Bérenger, V. (2016). Measuring multidimensional poverty in three Southeast Asian countries using ordinal variables. In The Asian “Poverty Miracle”: Impressive Accomplishments or Incomplete Achievements? (Issue 618). https://doi.org/10.4337/9781785369155
BPS. (2019). Kecamatan Sindangwangi Dalam Angka 2019. In Badan Pusat Statistik.
Brown, D., Stephens, E., Ouma, J., Murithi, F., & Barrett, C. B. (2006). Livelihood strategies in the rural Kenyan highlands. African Journal of Agricultural and Resource Economics, 1(1), 21–36. http://ageconsearch.umn.edu/bitstream/57019/2/0101 Barrett - FINAL & Fr abstract 5 Mar.pdf%5Cnhttp://econpapers.repec.org/article/agsafjare/57019.htm
Cerio, C. T., Calalo, F. C., Marasigan, S. B., & Dizon, J. T. (2019). Using counting and participatory approaches in multidimensional poverty assessment: The case of upland farming households in the Philippines. Cogent Social Sciences, 5(1). https://doi.org/10.1080/23311886.2019.1665397
Falola, A., Mukaila, R., Akanbi, S. O., & Chiamaka, R. (2023). Youths ’ Contribution to Household Welfare in Rural Areas. April. https://doi.org/10.29173/cjfy29907
Greene, W. H., & Hensher, D. A. (2009). Modeling ordered choices: A primer. In Modeling Ordered Choices: A Primer. https://doi.org/10.1017/CBO9780511845062
Hove, J., D’Ambruoso, L., Mabetha, D., Van Der Merwe, M., Byass, P., Kahn, K., Khosa, S., Witter, S., & Twine, R. (2019). “Water is life”: Developing community participation for clean water in rural South Africa. BMJ Global Health, 4(3), 1–13. https://doi.org/10.1136/bmjgh-2018-001377
Irwan, M., & Moeis, J. P. (2019). Transmisi Kemiskinan Antargenerasi di Indonesia Tahun 1993-2014, Studi Data IFLS. Jurnal Ekonomi Dan Pembangunan Indonesia, 19(2), 209–223. https://doi.org/10.21002/jepi.v19i2.728
Krejcie, R., V.Morgan, & W., D. (1970). (1970) “Determining sample Size for Research Activities”, Educational and Psychological Measurement. International Journal of Employment Studies, 18(1), 89–123. https://doi.org/10.1177/001316447003000308
Kumar, S., & Sarkar, S. k. (2016). Structure of Household Income and Expenditure and Its impact on Poverty Alleviation: Vol. IV (Issue Ix). http://www.scirj.org/papers-0916/scirj-P0916358.pdf
López-Álvarez, B., Rizo-Fernández, Z., Ramos-Leal, J. A., Morán-Ramírez, J., & Almanza-Tovar, Ó. G. (2019). Water poverty index in arid zones: The Barril aquifer, Santo Domingo, San Luis Potosí, Mexico. Revista Internacional de Contaminacion Ambiental, 35(1), 35–46. https://doi.org/10.20937/RICA.2019.35.01.03
LPPM, U. T. (2021). Pendataan Keluarga Desa Cerdas Mandiri Lestari. Rajawali Pers.
Mohammadi, H., Torabi, S., & Dogani, A. (2015). Application of Ordered Logit Model in Investigating the factors Affecting Peopleâ™s Income (A Case Study in Tehran City). International Journal of Academic Research in Economics and Management Sciences, 4(1), 166–178. https://doi.org/10.6007/ijarems/v4-i1/1608
Najitama, E., Maski, G., & Manzilati, A. (2020). Analysis of multidimensional poverty dynamics in Indonesia: The effect of demographic and institutional factors. Journal of Innovation in Business and Economics, 4(02), 87–96. https://doi.org/10.22219/jibe.v4i02.15630
Nguyen, H. M., & Nguyen, T. A. (2019). Investigating the determinants of household welfare in the Central Highland, Vietnam. Cogent Economics and Finance, 7(1). https://doi.org/10.1080/23322039.2019.1684179
OECD. (2008). Water Security and Pro-Poor Growth. Natural Resources and Pro-Poor Growth: The Economics and Politics. https://www.oecd-ilibrary.org/docserver/9789264060258-2-en.pdf?expires=1667919256&id=id&accname=guest&checksum=B95B93CC8AA7074F5C3AA6C57171B58A
Oksuzler, O. (2008). Does Education Pay off in Turkey? An Ordered Logit Approach. The Empirical Economics Letters, 7(2), 213–221. https://ideas.repec.org/p/pra/mprapa/14375.html
Putra, H. S., & Rianto, N. (2016). Pengaruh Akses Air Bersih Terhadap Kemiskinan Di Indonesia : Pengujian Data Rumahtangga. 65–76. http://download.garuda.kemdikbud.go.id/article.php?article=954319&val=14695&title=AKSES AIR BERSIH DAN KEMISKINAN DI INDONESIA PENGUJIAN DATA RUMAH TANGGA
Rahmawati, I., & Rudiarto, I. (2022). Analisis Kesejahteraan Masyarakat Petani Dataran Tinggi Dieng Menggunakan Pendekatan Penghidupan Berkelanjutan. Jurnal Ilmu Lingkungan, 20(3), 637–645. https://doi.org/10.14710/jil.20.3.637-645
Rodriguez, J. G., Fernandez-ramoz, Jennifer, Garcia-Guerra, Ana K, & Morales-Ramirez, G. (2015). Munich Personal RePEc Archive The dynamics of poverty in Mexico : A multinomial logistic regression analysis. International Journal of Social Economics, 43(11), 1082–1095. https://mpra.ub.uni-muenchen.de/77743/1/MPRA_paper_77743.pdf
Salam, A., Pratomo, D. S., & Saputra, P. M. A. (2020). Sosio-economic determinants of multidimensional poverty in the rural and urban areas of East Java. International Journal of Scientific and Technology Research, 9(4), 1445–1449. http://www.ijstr.org/final-print/apr2020/Sosio-economic-Determinants-Of-Multidimensional-Poverty-In-The-Rural-And-Urban-Areas-Of-East-Java.pdf
Sen, A. (1976). Poverty: An Ordinal Approach to Measurement Amartya. 44(2), 219–231. https://doi.org/10.2307/1912718
Staub, C., Gilot, A., Pierre, M., Murray, G., & Koenig, R. (2020). Coping with climatic shocks: local perspectives from Haiti’s rural mountain regions. Population and Environment, 42(2), 146–158. https://doi.org/10.1007/s11111-020-00351-9
Stewart, A., Seepersad, C., Hosein, A., Tripathi, V., Mohammed, A., Agard, J., Cashman, A., Chadee, D., & Ramsubhag, A. (2022). Water Poverty Indices of three rural communities in the southern Caribbean. Water Supply, 22(3), 3158–3177. https://doi.org/10.2166/WS.2021.409
Sukartini, N. M., & Samsubar, S. (2016). Akses Air Bersih di Indonesia Access to Clean Water in Indonesia. Jurnal Ekonomi Kuantitatif Terapan, 9(2), 89–98. https://www.neliti.com/publications/228355/akses-air-bersih-di-indonesia
Sumargo, B., & Simanjuntak, N. M. M. (2019). Deprivasi Utama Kemiskinan Multidimensi Antarprovinsi di Indonesia. Jurnal Ekonomi Dan Pembangunan Indonesia, 19(2), 160–172. https://doi.org/10.21002/jepi.v19i2.793
Tiku, N. E., Saleh, P., Waziri-Ugwu, P. R., Ibrahim, U., & Nafisat, N. (2018). Multinomial Logit Estimation of Income Sources by Watermelon Farmers in Northeastern Nigeria. International Journal of Environment, Agriculture and Biotechnology, 3(4), 1441–1449. https://doi.org/10.22161/ijeab/3.4.40
Todaro & Smith. (2015). Economic Development (Twelfth Edition).
Tran, Q., Tuyen, Tran, A., Tran, T. and T., & Nguyen, N. and T. (2018). Munich Personal RePEc Archive Education and the livelihood of households in the Northwest Region, Vietnam The role of education in the livelihood of households in the Northwest Region, Vietnam Compliance with Ethical Standards. 90414.
Tsehay, A. S., & Bauer, S. (2012). Poverty and vulnerability dynamics: Empirical evidence from smallholders in northern highlands of ethiopia. Quarterly Journal of International Agriculture, 51(4), 301–332. https://doi.org/10.22004/ag.econ.155481
Tsenkwo, BM., J., Fanneh, M. M., & Ceesay, E. K. (2019). A Panel Data Analysis of Poverty Dynamics and Public Policy Response in Selected West African Countries. International Journal of Science and Research (IJSR), 8(1), 2160–2166. https://www.ijsr.net/archive/v8i1/ART20194678.pdf
Umaña-Hermosilla, B., de la Fuente-Mella, H., Elórtegui-Gómez, C., & Fonseca-Fuentes, M. (2020). Multinomial logistic regression to estimate and predict the perceptions of individuals and companies in the face of the covid-19 pandemic in the Ñuble region, Chile. Sustainability (Switzerland), 12(22), 1–20. https://doi.org/10.3390/su12229553
Williams, R. (2021). Ordered Logit Model-Basic & Intermediate Topics. In Encyclopedia of Quality of Life and Well-Being Research. https://doi.org/10.1007/978-3-319-69909-7_2023-2
World, B. (2020). Reversals of Fortune (Poverty and Shared Prosperity 2020). In The World Bank-Washington DC-USA. https://doi.org/10.2307/j.ctv14npk3p.9