Hubungan Antara Kemiskinan dan Pertumbuhan Ekonomi di Provinsi Sulawesi Barat: Pendekatan Vector Autoregresive (VAR)
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Apr 30, 2024
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Poverty Rate, Economic Growth, Vector Autoregressive
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Abstract
This research aims to analyze the relationship between poverty and regional economic growth in West Sulawesi province. Using panel data from five city/districts during the 2011-2022 period, the analysis model applied is vector autoregressive which is then equipped with a Granger causality test. The study results reveal that economic growth significantly reduces poverty levels. On the other hand, the poverty rate does not affect economic growth. The results of the Granger causality test reveal the existence of one-way causality from economic growth to poverty. The poverty rate responds to changes in economic growth. On the other hand, economic growth does not respond to changes in poverty rate. This finding has the implication that increasing economic growth is very important when regional governments of west sulawesi province effort to reduce poverty rate.
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Nabila, L. A., Desviona, N., & Latif, I. A. (2024). Hubungan Antara Kemiskinan dan Pertumbuhan Ekonomi di Provinsi Sulawesi Barat: Pendekatan Vector Autoregresive (VAR). Jurnal EMT KITA, 8(2), 740–749. https://doi.org/10.35870/emt.v8i2.2436
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References
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Teles, V. K., & Joiozo, R. (2011). Human capital and innovation: evidence from panel cointegration tests. Applied Economics Letters, 18(17), 1629–1632. DOI:10.1080/13504851.2011.55658.
Amri, K. (2017). Analisis pertumbuhan ekonomi dan ketimpangan pendapatan: Panel data 8 provinsi di Sumatera. Jurnal Ekonomi dan Manajemen Teknologi, 1(1), 1-11.
Amri, K., Fitri, C. D., Ikhsan, I., & Sani, S. R. (2023). Kontribusi pendapatan perempuan dalam menurunkan tingkat kemiskinan: Bukti data panel di provinsi Riau. Selodang Mayang: Jurnal Ilmiah Badan Perencanaan Pembangunan Daerah Kabupaten Indragiri Hilir, 9(3), 199-205.
Amri, K., Masbar, R., Nazamuddin, B. S. ., & Aimon, H. (2023). Does tax effort moderate the effect of government expenditure on regional economic growth? A dynamic panel data evidence from Indonesia. Ekonomika, 102(2), 6-27. https://doi.org/10.15388/Ekon.2023.102.2.1
Amri, K., Masbar, R., Nazamuddin, B. S., & Aimon, H. (2024). Does unemployment moderate the effect of government expenditure on poverty? A cross-provinces data evidence from Indonesia. Economic Studies journal, (2), 92-113.
Banerjee, A., & Carrion-i-Silvestre, J. L. (2015). Cointegration in Panel Data with Structural Breaks and Cross-Section Dependence. Journal of Applied Econometrics, 30(1), 1–23. DOI:10.1002/jae.2348.
Breunig, R., & Majeed, O. (2020). Inequality, poverty and economic growth. International Economics, 161, 83–99. DOI:10.1016/j.inteco.2019.11.005
Dollar, D., & Kraay, A. (2002). Growth is Good for the Poor. Journal of Economic Growth, 7(3), 195-225. Sen, A. (1999). Development as Freedom. Oxford University Press.
Ikhsan, I., & Amri, K. (2023). Sectoral growth impacts of bank credit allocation: The role of COVID-19 pandemic as moderating variable. Economic Studies journal, (5), 32-50.
Im, K. S., Pesaran, M. H., & Shin, Y. (2003). Testing for unit roots in heterogeneous panels, Journal of Econometrics, 115(1), 53-74. https://doi.org/10.1016/S0304-4076(03)00092-7.
Kao, C. (1999). Spurious regression and residual-based tests for cointegration in panel data. Journal of Econometrics, 90(1), 1-44. https://doi.org/10.1016/S0304-4076(98)00023-2.
Klasen, S. (2008). Economic Growth and Poverty Reduction: Measurement Issues using Income and Non-Income Indicators. World Development, 36(3), 420–445. DOI:10.1016/j.worlddev.2007.03.00
Lee, C.-C., & Chang, C.-P. (2006). Social security expenditure and GDP in OECD countries: A cointegrated panel analysis. International Economic Journal, 20(3), 303–320. DOI:10.1080/10168730600879372.
Levin, A., Lin, C.F., & Chu, C. (2002) Unit root tests in panel data: Asymptotic and finite-sample properties, Journal of Econometrics, 108, 1-24. https://doi.org/10.1016/S0304-4076(01)00098-7.
Li, S. (2014). Poverty Reduction and Effects of Pro-poor Policies in Rural China. China & World Economy, 22(2), 22–41. DOI:10.1111/j.1749-124x.2014.12060.x
Mastromarco, C., Peragine, V., Russo, F., & Serlenga, L. (2014). Poverty, inequality and growth in Albania. Economics of Transition, 22(4), 635–682. DOI:10.1111/ecot.12048
Okunade, A. A., & Karakus, M. C. (2001). Unit root and cointegration tests: Time-series versus panel estimates for international health expenditure models. Applied Economics, 33(9), pp. 1131–1137. DOI:10.1080/00036840122612.
Roebroeck, A. (2015). Granger causality. Brain Mapping, 11, 593–597. https://doi.org/10.1016/b978-0-12-397025-1.00337-7.
Sen, A. (1999). Development as freedom. Oxford: Oxford University Press. Introduction
Siregar, N. A., Amri, K., & Riyaldi, M. H. (2023). Peran belanja pemerintah daerah dalam memoderasi pengaruh zakat terhadap kemiskinan di provinsi Aceh. Journal of Law and Economics, 2(2), 80–89. https://doi.org/10.56347/jle.v2i2.176.
Studwell, J. (2013). How Asia Works. Grove Press.
Teles, V. K., & Joiozo, R. (2011). Human capital and innovation: evidence from panel cointegration tests. Applied Economics Letters, 18(17), 1629–1632. DOI:10.1080/13504851.2011.55658.