The Nexus Between Income Inequality and Environmental Degradation in ASEAN-6 Countries During 1992 – 2015 from Islamic Perspective

Main Article Content

Rininta Nurrachmi
Jarita Duasa
Muhammad Irwan Arifin
Rafia Afroz

Abstract

The purpose of the study is to examine the relationship between income inequality and environmental degradation in ASEAN-6 countries namely Indonesia, Malaysia, the Philippines, Thailand, Singapore, and Vietnam. It also provide analysis from the Islamic perspective based on result of the econometric regression. The study utilizes annual panel data from1992 until 2015 where the region suffered from high income distribution and environmental degradation. The analytical tool used in the study is Bias-Corrected Least Squared Dummy Variable (LSDVC), which is sufficient for small panel data. The methodological approach leads to two main findings. First, income inequality, measured by Gini coefficient, is contributing to environmental degradation (proxied by CO₂ emission and Natural Resources Depletion) in the short- and long-run term. Other explanatory variables namely GDP per capita and energy consumption, also impact significantly on environmental degradation level in the short- and long-term. From the findings, it is recommended that greater investment is required in addressing high level of income inequality and environmental issues. Instruments in Islam such as zakat and waqf provide solution to overcome issue of high income gap and environmental degradation in ASEAN-6 countries, moreover majority of Muslim population located in ASEAN countries. Hence, collaboration should be enhanced among the ASEAN-6 countries where wealth distribution, technology and knowledge sharing from high income countries to low and middle-income in ASEAN countries to mitigate the negative impact of high income inequality and environmental issue in the region. 

Downloads

Download data is not yet available.

Article Details

Section
Articles

References

Ali, H. S., Hassan, S., & Kofarmata, Y. I. (2016). Dynamic impact of income inequality on carbon dioxide emissions in Africa: new evidence from heterogeneous panel data analysis. International Journal of Energy Economics and Policy, 6(4), 760-766.

Baek, J. & Gweisah, G. (2013). Does income inequality harm the environment? Empirical evidence from the United States. Energy Policy, 62, 1434–1437. https://doi.org/10.1016/j.enpol.2013.07.097.

Baloch, A., Shah, S. Z., Noor, Z. M., & Magsi, H. B. (2017). The nexus between income inequality, economic growth and environmental degradation in Pakistan. GeoJournal, 83, 207-222.

Baloch, M. A., Khan, S. U. D., Ulucak, Z. Ş., & Ahmad, A. (2020). Analyzing the relationship between poverty, income inequality, and CO2 emission in Sub-Saharan African countries. Science of the Total Environment, 740, 139867.

Batmaz, O., Çıtak, F. & Kamal, M. A. (2023). Revisiting the relationship between income inequality and CO2 emissions in the USA: New evidence from CS-ARDL model. International Journal of Global Warming, 30(1), 81-102.

Boyce, J. K. (1994). Inequality as a cause of environmental degradation. Ecological Economics, 11(3), 169–178. https://doi.org/10.1016/0921-8009(94)90198-8.

Bruno, G. S. (2005). Approximating the bias of the LSDV estimator for dynamic unbalanced panel data models. Economics letters, 87(3), 361-366.

Cai, H. H., Ha, D. T., An, N., & Giang, T. T. (2005). The legal and institutional framework and the economic values of wetlands in the Mekong river delta of Vietnam: a wetlands approach. Wetlands governance in the Mekong Region: country reports on the legal-institutional framework and economic valuation of aquatic resources. WorldFish Center, Penang, 97-132.

Chapra, M. U. (2009). Ethics and economics: An Islamic perspective. Islamic Economic Studies, 16(1).
Chapra, M. U. (2016). The Future of Economics: An Islamic Perspective (Vol. 21). Leicestershire (UK), Kube Publishing Ltd.

Checchi, D. (2000). Does educational achievement help to explain income inequality?. World Institute for Development Economics Research (WIDER), The United Nations University (UNU). Working Papers No. 208. November 2000.

Fisher, R. & Hirsch, P. (2008). Poverty and agrarian‐forest interactions in Thailand. Geographical Research, 46(1), 74-84.

Ghazouani, T. & Beldi, L. (2022). The impact of income inequality on carbon emissions in Asian countries: Non-parametric panel data analysis. Environmental Modeling & Assessment, 27(3), 441-459.

Guo, L. (2013). Cross-country income disparity and its effect on carbon emissions. Chinese Journal of Population Resources and Environment, 11(1), 33-50.

Grossman, G. M. & Krueger, A. B. (1995). Economic growth and the environment. The Quarterly Journal of Economics, 110(2), 353–377.

Hassan, M. K., Saraç, M., & Khan, A. (2021). Islamic Finance and Sustainable Development. New York (US), Springer International Publishing.

Harianti, W. P & Nandi. (2019). Level of Slum Settlements in Tanjungpinang City, Riau Island. KnE Social Sciences, 862-872.

Jannah, M., Ali, K. M., Fatria, B. L., Sarkawi, A. A., & Othman, J. (2021). Enhancing waqf forest sustainability through agroforestry: Case study from Bogor Waqf Forest, Bogor, Indonesia. Islam Realitas: Journal of Islamic and Social Studies, 7(1), 57-71.

Judson, R. A. & Owen, A. L. (1999). Estimating dynamic panel data models: A guide for macroeconomists. Economics letters, 65(1), 9-15.

Khan, A. Q., Saleem, N. & Fatima, S. T. (2018). Financial development, income inequality, and CO2 emissions in Asian countries using STIRPAT model. Environmental Science and Pollution Research, 25(7), 6308-6319. https://doi.org/10.1007/s11356-017-0719-2.

Khan, S., Yahong, W., & Zeeshan, A. (2022). Impact of poverty and income inequality on the ecological footprint in Asian developing economies: Assessment of Sustainable Development Goals. Energy Reports, 8, 670-679.

Kiviet, J. F. (1995). On bias, inconsistency, and efficiency of various estimators in dynamic panel data models. Journal of Econometrics 68, 53–78.

Knight, K. W., Schor, J. B. & Jorgenson, A. K. (2017). Wealth inequality and carbon emissions in high-income countries. Social Currents, 4(5), 403–412. https://doi.org/10.1177/2329496517704872.

Kusumawardani, D. & Dewi, A. K. (2020). The effect of income inequality on carbon dioxide emissions: a case study of Indonesia. Heliyon, 6(8).

Liu, Q., Wang, S., Zhang, W., Li, J., & Kong, Y. (2019). Examining the effects of income inequality on CO2 emissions: Evidence from non-spatial and spatial perspectives. Applied Energy, 236, 163-171.

Magnani, E. (2000). The Environmental Kuznets Curve, environmental protection policy and income distribution. Ecological economics, 32(3), 431-443.

Masud, M. M., Kari, F. B., Banna, H., & Saifullah, M. K. (2018). Does income inequality affect environmental sustainability? Evidence from the ASEAN-5. Journal of the Asia Pacific Economy, 23(2), 213–228. https://doi.org/10.1080/13547860.2018.1442146.

National University of Singapore. (2018, December 20). In Response to Heat, the More Affluent Use Air-Conditioners; Low-Income Households Use Water [online]. [accessed 2023 Jun 6]. Retrieved from: https://www.sciencedaily.com/releases/2018/12/181220104629.htm.

Nurrachmi, R. (2019). The potential industry of islamic tourism in ASEAN Countries. IJIBE (International Journal of Islamic Business Ethics), 4(2).

Padhan, H., Haouas, I., Sahoo, B., & Heshmati, A. (2019). What matters for environmental quality in the Next Eleven Countries: economic growth or income inequality?. Environmental Science and Pollution Research, 26, 23129-23148. https://doi.org/10.1007/s11356-019-05568-2.

Prasetyanto, P. K. & Sari, F. (2021). Environmental Kuznets Curve: Economic growth with environmental degradation in Indonesia. International Journal of Energy Economics and Policy, 11(5), 622-628.

Ray, S. & Ray, I. A. (2011). Impact of population growth on environmental degradation: Case of India. Journal of Economics and Sustainable Development, 2(8), 72-77.

Ridzuan, A. R., Ismail, N. A., Hassan, A., & Mohd, S. (2017). Does equitable income distribution influence environmental quality? Evidence from developing countries of ASEAN-4. Pertanika Journal of Social Science and Humanities, 25(1), 385–400.

Ridzuan, S. (2019). Inequality and the environmental Kuznets curve. Journal of cleaner production, 228, 1472-1481.

Saleem, H., Jiandong, W., Zaman, K., Elashkar, E. E., & Shoukry, A. M. (2018). The impact of air-railways transportation, energy demand, bilateral aid flows, and population density on environmental degradation: Evidence from a panel of next-11 countries. Transportation Research Part D: Transport and Environment, 62, 152-168.

Siddiqi, M. N. (2014). Islamic economics: where from, where to?. JKAU: Islamic Econ., 27(2), 61-72.

Siwar, C. & Murad, M. W. (January, 2001). Poverty and environmental degradation among urban squatters : A literature survey and theoretical framework. Sustainability at the Millenium: Globalization, Competitiveness and the Public Trust. In Ninth International Conference of Greening of Industry Network Bangkok.

Ullah, S. & Awan, M. S. (2019). Environmental Kuznets curve and income inequality: Pooled mean group estimation for Asian developing countries. Forman Journal of Economic Studies, 15, 157-179.

UNDP and BWI. (2022). Green Waqf Framework [online]. [accessed 2023 Jun 6]. Retrieved from: https://www.undp.org/indonesia/publications/green-waqf-framework.

Wang, Q., Yang, T. & Li, R. (2023). Does income inequality reshape the environmental Kuznets curve (EKC) hypothesis? A nonlinear panel data analysis. Environmental Research, 216, 114575.

World Bank (2014). Reducing Inequality in Indonesia. [online]. [accessed 2023 Jun 6]. Retrieved from: https://www.worldbank.org/en/country/indonesia/brief/reducing-inequality-in-indonesia.

World Bank (2017). Philippines Urbanization Review [online]. [accessed 2023 Jun 6]. Retrieved from: http://documents.worldbank.org.

Xu, G., Schwarz, P. & Yang, H. (2020). Adjusting energy consumption structure to achieve China’s CO2 emissions peak. Renewable and Sustainable Energy Reviews, 122, 109737.

Zhang, J., & Zhang, Y. (2021). Tourism, economic growth, energy consumption, and CO2 emissions in China. Tourism Economics, 27(5), 1060-1080.