ISLAMIC FINANCIAL DEVELOPMENT AND INCOME INEQUALITY IN INDONESIA

Authors

  • Azwar Azwar Sekolah Tinggi Ilmu Islam dan Bahasa Arab (STIBA) Makassar, Indonesia
  • Bayu Taufiq Possumah Institut Agama Islam Tazkia, Bogor, Indonesia
  • Khaerul Aqbar Sekolah Tinggi Ilmu Islam dan Bahasa Arab (STIBA) Makassar, Indonesia

DOI:

https://doi.org/10.30659/ijibe.7.2.108-124

Abstract

The objective of this paper is to analyze the short and long run relationship between Islamic financial development and income inequality in Indonesia over the period of 2000-2020. The study has employed the Auto Regressive Distributed Lag (ARDL) bound testing approach and the Error Correction Mechanism (ECM) to examine the existence of long-run and short-run relationship, while variance decomposition (VDC) technique is used to provide Granger causal relationship between the variables. The cointegration tests show that there is a long run relationship between Islamic financial development, economic growth, inflation and income inequality in Indonesia. However, Islamic financial development itself is found to be not statistically significant in influencing income inequality during the sample period for long-run. This study found a positive and statistically significant (10%) effect of Islamic financial development in explaining the changes in income inequality in the short run. In terms of policy, enhancing financial access is needed to ensure that financial development fully supports the reduction of income inequality in Indonesia.

References

Ang, J. B. (2009). Financial liberalization and income inequality. MPRA, Paper No. 14496.

Arora, R. U. (2012). Finance and inequality: a study of Indian states. Applied Economics, 44(34), 4527-4538.

Askari, H. (2013). Economic Development in Islam. Economic Development and Islamic Finance, 151.

Baligh, N., & Piraee, K. (2012). Financial development and income inequality relationship in Iran. Middle-East Journal of Scientific Research, 12(7), 906-914.

Balisacan, A. M., & Fuwa, N. (2003). Growth, inequality and politics revisited: A developing-country case. Economics Letters, 79(1), 53-58.

Banerjee, A. V., & Newman, A. F. (1993). Occupational choice and the process of development. Journal of political economy, 101(2), 274-298.

Batuo, M. E., Guidi, F., & Mlambo, K. (2012). Financial development and income inequality: Evidence from African Countries. African Development Bank.

Chambers, D., Wu, Y., & Yao, H. (2007). A tale of two provinces: How growth can help or hinder equality in China. International Research Journal of Finance and Economics, 12, 214-220.

Clarke, G., Xu L.C., & H. Zou (2007). Finance and income inequality: What do the data tell us? Southern Economic Journal, 72, 578–596.

Clemente, J., Montañés, A., & Reyes, M. (1998). Testing for a unit root in variables with a double change in the mean. Economics letters, 59(2), 175-182.

Dickey, D. A., & Fuller, W. A. (1981). Likelihood ratio statistics for autoregressive time series with a unit root. Econometrica: journal of the Econometric Society, 49, 1057-1072.

Galor, O., & Zeira, J. (1993). Income distribution and macroeconomics. The review of economic studies, 60(1), 35-52.

Greenwood, J., & Jovanovic, B. (1990). Financial development, growth, and the distribution of income. Journal of political Economy, 98(5, Part 1), 1076-1107.

Hoi, L. Q., & Hoi, C. M. (2013). Financial sector development and income inequality in Vietnam: Evidence at the provincial level. Journal of Southeast Asian Economies, 30(3), 263-277.

Jauch, S., & Watzka, S. (2016). Financial development and income inequality: a panel data approach. Empirical Economics, 51(1), 291-314.

Johansen, S., & Juselius, K. (1990). Maximum likelihood estimation and inference on cointegration—with appucations to the demand for money. Oxford Bulletin of Economics and statistics, 52(2), 169-210.

Kasri, R., & Ahmed, H. (2015). Assessing socio-economic development based on MaqÄá¹£id al-SharÄ«Ê¿ah principles: Normative frameworks, methods and implementation in Indonesia. Islamic Economic Studies, 23(1), 73-100.

Law, S. H., Tan, H. B., & Azman-Saini, W. N. W. (2014). Financial development and income inequality at different levels of institutional quality. Emerging Markets Finance and Trade, 50(sup1), 21-33.

Liang, Z. (2006). Financial development and income distribution: a system GMM panel analysis with application to urban China. Journal of economic development, 31(2), 1.

Mookerjee, R., & Kalipioni, P. (2010). Availability of financial services and income inequality: The evidence from many countries. Emerging Markets Review, 11(4), 404-408.

Zhang, R., & Naceur, S. B. (2019). Financial development, inequality, and poverty: Some international evidence. International Review of Economics & Finance, 61, 1-16.

Narayan, P. K. (2005). The saving and investment nexus for China: evidence from cointegration tests. Applied economics, 37(17), 1979-1990.

Pesaran, M. and Shin, Y. (1999), “An autoregressive distributed lag modelling approach to cointegration analysisâ€, in Strom, S. (Ed.), paper presented at Econometrics and Economic Theory in the 20th Century: The Ragnar Frisch Centennial Symposium, Cambridge University Press, Cambridge.

Pesaran, M. H., Shin, Y., & Smith, R. J. (2001). Bounds testing approaches to the analysis of level relationships. Journal of applied econometrics, 16(3), 289-326.

Phillips, P. C., & Perron, P. (1988). Testing for a unit root in time series regression. Biometrika, 75(2), 335-346.

Sehrawat, M., & Giri, A. K. (2015). Financial development and income inequality in India: an application of ARDL approach. International Journal of Social Economics, 42(1), 64-81.

Seven, U., & Coskun, Y. (2016). Does financial development reduce income inequality and poverty? Evidence from emerging countries. Emerging Markets Review, 26, 34-63.

Shahbaz, M., & Islam, F. (2011). Financial development and income inequality in Pakistan: an application of ARDL approach. Journal of Economic Development, 36(1), 35-38.

Siyal, G., Mohsin, A., & Zaman, K. (2014). Financial soundness and Pakistan’s economics growth: Turn on the light. International Journal of Economics and Empirical Research, 2(9), 359–371.

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Published

2022-09-30

Issue

Vol. 7 No. 2 (2022): September 2022

Section

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