The influence of ZIS fund distribution, social aid shopping, and subsidy shopping to poverty in Indonesia

Nurul Ichsan Hasan, Nurul Mudhiatil Mufliha

Abstract


Indonesia has 10 percent of the poor population. Getting rid of that poverty gap, instruments that have been made are needed. One of the instruments is the distribution of ZIS funds by the National Amil Zakat Agency (BAZNAS), then spending aid social services by the central government, and subsidy spending by the central government. Then with this poverty problem, the importance of emphasizing the distribution of ZIS funds in Indonesia, spending on social assistance, spending on subsidies, and research on poverty. This study aims to analyze the effect of ZIS funds distribution, Social Aid Expenditures, and Subsidy Expenditures on poverty in Indonesia in the 2013-2017 period. The sample of this study consisted of 4, namely ZIS data obtained at the National Amil Zakat Agency (BAZNAS), then spending on social aid, expenditure on subsidies, and finally, data on poverty obtained from the Central Statistics Agency (BPS). The method used is a quantitative method by testing the classical assumptions. The results of this study are according to the results of the F test that the three independent variables (ZIS, Social Aid, and Subsidies) simultaneously influence the dependent variable (poverty).


Keywords


ZIS; Social Aid; Subsidies; Poverty

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References


Ahmed, H. (2008). Zakah, Macroeconomic Policies and poverty Alleviation: Leassons frome simulations on Bangladesh. Journal of Thoughts On Economics, 18(3).

Al-Arif, M. N. R. (2010). Efek Pengganda Zakat Serta Implikasinya Terhadap Program Pengentasan Kemiskinan. Jurnal Ekbisi, 5(1).

Basri, F. (2002). Perekonomian Indonesia:Tantangan Dan Harapan Bagi Kebangkitan Ekonomi Indonesia. Jakarta: Erlangga.

Efendi, M. (2017). Pengelolaan Zakat Produktif Berwawasan Kewirausahaan Sosial Dalam Pengentasan Kemiskinan Di Indonesia. Al-Ahkam Jurnal Ilmu Syari’ah Dan Hukum, 2(1).

Erdkhadifa, R. (2019). The geographical weighted regression approach in analyzing the factors forming regional economic growth. Indonesian Journal of Islamic Economics Research, 1(2), 58–66.

Hasan, M. (2010). An integrated poverty alleviation model combining zakat, awqaf and micro-finance. Paper Presented at the 7th International.

Misdawati, & sari A A P. (2013). Analisis dampak pengeluaran pemerintah di bidang pendidikan, kesehatan, dan pengeluaran subsidi terhadap kemiskinan di indonesia. Jurnal Ekonomi Dan Kebijakan Publik, 4(2).

Pratama, Y. C. (2015). Peran Zakat Dalam Penanggulangan Kemiskinan (Studi Kasus : Program Zakat Produktif Pada Badan Amil Zakat Nasional). Tauhidinomics: Journal Of Islamic Banking And Economics, 1(1).

Puspita, R. E. (2019). Factors Influencing on Job Preference among Shariah Banking Student. Muqtasid: Jurnal Ekonomi Dan Perbankan Syariah, 10(1), 69. https://doi.org/10.18326/muqtasid.v10i1.69-79

Rofiuddin, M. (2019). Indonesian Journal of Islamic Economics Research. Indonesian Journal of Islamic Economics Research, 1(2), 58–66.

Rofiuddin, M., Aisyah, S., Pratiwi, D. N., Annisa, A. A., Puspita, R. E., & Nabila, R. (2019). Does Economic Growth Reduce Pollution? Empirical Evidence from Low Income Countries. E3S Web of Conferences, 125(201 9), 15–18. https://doi.org/10.1051/e3sconf/201912506002

Sendow, A., Rumate, V. A., & Rotinsulu, D. C. (2017). Pengaruh Belanja Modal, Belanja Sosial, dan Pertumbuhan Ekonomi Terhadap Tingkat Kemiskinan Di Kota Manado. Jurnal Keuangan Dan Pembangunan Daerah, 19(2).

Tambunan, T. (2014). Perekonomian Indonesia. Jakarta: Ghalia.




DOI: https://doi.org/10.18326/ijier.v2i1.4296

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