Study of the Effectiveness of Poverty Reduction Programs; an Analytic Hierarchy Process Approach
Abstract
The budget allocation for poverty alleviation is getting bigger from time to time. However, the poverty rate did not change significantly. This study aims to determine the effectiveness of poverty programs that have been initiated by the government, through programs (KUBE, PANSIMAS, BUNDES, PNPM, and P2KP), which are believed to improve poverty alleviation efforts in Manyampa Village, Ujung Loe District, Bulukumba Regency. The research method used in this research is quantitative research, with the AHP (Analytic Hierarchy Process) analysis method. Data collection techniques were obtained from questionnaires or primary data sources, while secondary data were obtained from reports from BPS South Sulawesi, BPS Bulukumba, District Offices and related agencies in Bulukumba Regency. The novelty of this study is to explore further and evaluate what programs are quite effective in reducing poverty rates, with the help of expert choice with a consistency test. The results of this study indicate that in poverty alleviation efforts, the P2KP program is the most effective in reducing poverty with small business empowerment-based programs, while from community empowerment-based programs, the PANSIMAS program is more consistent than other programs in poverty alleviation efforts. P2KP and the PANSIMAS program each got a score of 0.02<0.1. It can be interpreted that the Inconsistency ratio <0.1 (the maximum limit) is also tested to be consistent, it's just that the achievement is lower than other programs. The implication of this research is that the local government needs to further evaluate ineffective poverty alleviation programs so that budget misallocations do not occur and are able to accelerate effective poverty alleviation programs that have been running.
Keywords: Poverty, Program, EfectivenessReferences
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Chen, J., Chen, S., Fu, R., Wang, C., Li, D., Jiang, H., … Mei, Y. (2021). Simulation of water hyacinth growth area based on multi-source geographic information data : An integrated method of WOE and AHP. Ecological Indicators, 125, 107574. https://doi.org/10.1016/j.ecolind.2021.107574
Churchill, S. A., Smyth, R., & Farrell, L. (2020). Fuel poverty and subjective wellbeing. Energy Economics, 86, 104650.
Diwakar, V., & Shepherd, A. (2021). Sustaining escapes from poverty. World Development, 105611.
Folarin, O., & Adeniyi, O. (2020). Does tourism reduce poverty in sub-Saharan African countries? Journal of Travel Research, 59(1), 140–155.
Fransman, T., & Yu, D. (2019). Multidimensional poverty in South Africa in 2001–16. Development Southern Africa, 36(1), 50–79.
Ginting, A. L. (2019). Interelasi Pengeluaran Pemerintah dan Kesempatan Kerja Terhadap Pertumbuhan Ekonomi dan Kemiskinan di Provinsi Kalimantan Tengah. EcceS (Economics, Social, and Development Studies), 6(2), 230. https://doi.org/10.24252/ecc.v6i2.10957
Gordon, D. (2019). The scientific measurement of poverty: Recent theoretical advances. In Researching poverty (pp. 37–58). Routledge.
Guo, Y., Zhou, Y., & Liu, Y. (2019). Targeted poverty alleviation and its practices in rural China: A case study of Fuping county, Hebei Province. Journal of Rural Studies.
Han, J., Meyer, B. D., & Sullivan, J. X. (2020). Income and Poverty in the COVID-19 Pandemic. National Bureau of Economic Research.
Heitzmann, K., & Matzinger, S. (2020). The (changing) consideration of social investment in the design of welfare benefits: The case of poverty relief in Austria. Social Policy and Administration, (May), 1–16. https://doi.org/10.1111/spol.12643
Hirons, M. (2020). How the Sustainable Development Goals risk undermining efforts to address environmental and social issues in the small-scale mining sector. Environmental Science & Policy, 114, 321–328.
Ilfa, A. A. (2020). PARTISIPASI PEMUDA DALAM PENGELOLAAN PERUTANAN SOSIAL. Universitas Hasanuddin.
Janzen, S. A., Carter, M. R., & Ikegami, M. (2020). Can insurance alter poverty dynamics and reduce the cost of social protection in developing countries? Journal of Risk and Insurance, (March 2019), 1–32. https://doi.org/10.1111/jori.12322
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Kangas, O., & Ritakallio, V.-M. (2019). Different methods-different results? Approaches to multidimensional poverty. In Empirical poverty research in a comparative perspective (pp. 167–204). Routledge.
Kasdi, M. F. (2020). Transformation Of Social And Economic Livelihoods Of Rubber Farmers. EcceS (Economics, Social, and Development Studies), 7(2), 198. https://doi.org/10.24252/ecc.v7i2.17946
Kemiskinan, T., Kawasan, D. I., Indonesia, T., & Amalia, F. (2012). PENGARUH PENDIDIKAN, PENGANGGURAN DAN INFLASI TERHADAP TINGKAT KEMISKINAN DI KAWASAN TIMUR INDONESIA (KTI) PERIODE 2001-2010 Fitri Amalia*. X, 158–169.
Kimmitt, J., Muñoz, P., & Newbery, R. (2020). Poverty and the varieties of entrepreneurship in the pursuit of prosperity. Journal of Business Venturing, 35(4), 105939.
King, D. A., Smart, M. J., & Manville, M. (2019). The poverty of the carless: Toward universal auto access. Journal of Planning Education and Research, 0739456X18823252.
Koomson, I., Villano, R. A., & Hadley, D. (2020). Effect of financial inclusion on poverty and vulnerability to poverty: Evidence using a multidimensional measure of financial inclusion. Social Indicators Research, 149(2), 613–639.
Kronauer, M. (2019). ‘Social exclusion’and ‘underclass’-new concepts for the analysis of poverty. In Empirical poverty research in a comparative perspective (pp. 51–76). Routledge.
Kumah, C., Hilson, G., & Quaicoe, I. (2020). Poverty, adaptation and vulnerability: An assessment of women’s work in Ghana’s artisanal gold mining sector. Area, 52(3), 617–625.
Kwilinski, A., Vyshnevskyi, O., & Dzwigol, H. (2020). Digitalization of the EU Economies and People at Risk of Poverty or Social Exclusion. Journal of Risk and Financial Management, 13(7), 142.
Lakner, C., Mahler, D. G., Negre, M., & Prydz, E. B. (2019). How much does reducing inequality matter for global poverty? World Bank Policy Research Working Paper, (8869).
Lakner, C., Mahler, D. G., Negre, M., & Prydz, E. B. (2020). How much does reducing inequality matter for global poverty?
Leal, J. E. (2020). MethodsX AHP-express : A simpli fi ed version of the analytical hierarchy process method. 7. https://doi.org/10.1016/j.mex.2019.11.021
Lin, C., & Kou, G. (2021). A heuristic method to rank the alternatives in the AHP synthesis. Applied Soft Computing Journal, 100, 106916. https://doi.org/10.1016/j.asoc.2020.106916
Liu, J., Huang, F., Wang, Z., & Shuai, C. (2021). What is the anti-poverty effect of solar PV poverty alleviation projects? Evidence from rural China. Energy, 218, 119498.
Lubbers, M. J., Small, M. L., & García, H. V. (2020). Do networks help people to manage poverty? Perspectives from the field. The ANNALS of the American Academy of Political and Social Science, 689(1), 7–25.
Mahadevan, R., & Suardi, S. (2019). Panel evidence on the impact of tourism growth on poverty, poverty gap and income inequality. Current Issues in Tourism, 22(3), 253–264.
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