Wealth Inequality and Environmental Challenges: Assessing the Wealth Distribution Impact on Carbon Footprint in Oil-Rich Countries

Document Type : Original Article

Author

Department of Economics, Fi. C, Islamic Azad University, Firoozkooh, Iran

Abstract
Introduction: The increasing emission of greenhouse gases and the consequences of climate change have become major global challenges, particularly in oil-rich countries. Evidence suggests that climate change not only heightens the vulnerability of low-income populations but also exacerbates economic inequality. This study aims to evaluate the impact of wealth inequality on the carbon footprint in Iran, Kuwait, Saudi Arabia, and the United Arab Emirates over the period 1995–2023. Owing to their vast energy resources and heavy dependence on oil and gas exports, these countries account for a substantial share of global carbon emissions. Therefore, identifying the factors influencing this trend is crucial for designing effective environmental and pollution-reduction policies.
Materials and Methods: In this study, the wealth shares of the top 1% and top 10% of the population are used as indicators of wealth concentration, while the wealth shares of the middle 40% and bottom 50% are employed as measures of a more equitable wealth distribution. Per capita income, energy intensity, and total energy production are included as control variables. To estimate the effects, both the Fixed Effects (FE) model and Robust Least Squares (RLS) regression are applied to ensure the robustness and reliability of the findings. Robust Least Squares refers to a set of regression techniques specifically designed to reduce sensitivity to outliers and influential observations, thereby providing more reliable parameter estimates.
Results: The findings reveal that wealth inequality, per capita income, energy intensity, and total energy production all exert a positive and statistically significant effect on the carbon footprint in Iran, Kuwait, Saudi Arabia, and the United Arab Emirates. Specifically, increases in the wealth shares of the top 1% and top 10% lead to higher carbon emissions, whereas increases in the wealth shares of the middle 40% and bottom 50% are associated with lower carbon emissions. These results indicate that economic inequality and the concentration of wealth among high-income groups generate adverse environmental consequences in addition to raising concerns about social equity. Per capita income also emerges as a key driver of carbon emissions, likely reflecting higher energy consumption and greater reliance on fossil fuels as income levels rise. Furthermore, both energy intensity and total energy production have positive and significant effects on carbon emissions across all estimated models.
Discussion: The results suggest that the energy-intensive and relatively inefficient economic structures of these countries contribute to excessive energy consumption and rising environmental pollution. Based on the findings, three major policy recommendations are proposed. First, policymakers should pursue reforms aimed at improving wealth distribution and reducing economic inequality. Measures such as progressive taxation on wealth and high incomes, support for middle- and lower-income groups, and increased investment in public services can help mitigate inequality and reduce the environmental costs associated with wealth concentration. Second, improving energy efficiency and reducing energy intensity should be prioritized. Investments in energy-efficient technologies, optimization of industrial and transportation energy use, and the gradual removal of fossil-fuel subsidies can contribute significantly to lowering carbon emissions. Third, accelerating the transition toward renewable energy sources is essential for achieving long-term environmental sustainability. Overall, the findings indicate that reducing wealth inequality, enhancing energy efficiency, and expanding renewable energy development can play a crucial role in lowering the carbon footprint and improving environmental sustainability in these oil-dependent economies.

Keywords

Subjects

  1. Blanchet, T. and Martínez-Toledano, C., 2023. Wealth inequality dynamics in Europe and the United States: Understanding the determinants. Journal of Monetary Economics, 133, 25-43.
  2. Borghesi, S., 2006. Income inequality and the environmental Kuznets curve. Environment, inequality and collective action, 33.
  3. Bowles, S. and Park, Y., 2005. Emulation, inequality, and work hours: Was Thorsten Veblen right? The Economic Journal, 115(507), F397-F412.
  4. Boyce, J.K., 1994. Inequality as a cause of environmental degradation. Ecological economics, 11(3), 169-178.
  5. Boyce, J.K., 2007. Inequality and environmental protection. Inequality, collective action, and environmental sustainability, 314-348.
  6. Burke, M., Hsiang, S.M. and Miguel, E., 2015. Global non-linear effect of temperature on economic production. Nature, 527(7577), 235-239.
  7. Chancel, L., Piketty, T., Saez, E. and Zucman, G., 2022. World inequality report 2022. Harvard University Press.
  8. Diffenbaugh, N.S. and Burke, M., 2019. Global warming has increased global economic inequality. Proceedings of the National Academy of Sciences, 116(20), 9808-9813.
  9. Dunlap, R.E. and Brulle, R.J., 2015. Climate change and society: Sociological perspectives. Oxford University Press.
  10. Ebrahimi, M., Babaei Agh Esmaeili, M. and Kafili, V., 2016. Income inequality and environmental quality: A case study of Iran. Econometric Modeling, 2(1), 59–79. (In Persian with English abstract)
  11. Emmerling, J., Andreoni, P., Charalampidis, I., Dasgupta, S., Dennig, F., Feindt, S. and Tavoni, M., 2024. A multi-model assessment of inequality and climate change. Nature Climate Change, 14(12), 1254-1260.
  12. Farahati, M. and Maleki, F., 2024. Income inequality and the economic growth–environmental pollution relationship in Iran: A smooth transition regression approach. Economic Policies and Research, 3(2), 87–111. (In Persian with English abstract)
  13. Fitzgerald, J.B., Jorgenson, A.K. and Clark, B., 2015. Energy consumption and working hours: a longitudinal study of developed and developing nations, 1990–2008. Environmental Sociology, 1(3), 213-223.
  14. Gilli, M., Calcaterra, M., Emmerling, J. and Granella, F., 2024. Climate change impacts on the within-country income distributions. Journal of Environmental Economics and Management, 127, 103012.
  15. Grunewald, N., Klasen, S., Martínez-Zarzoso, I. and Muris, C., 2012. Income inequality and car bon emissions. Discussion Paper No. 92. Courant Research Centre, University of Göttingen.
  16. Hänsel, M.C., Franks, M., Kalkuhl, M. and Edenhofer, O., 2022. Optimal carbon taxation and horizontal equity: A welfare-theoretic approach with application to German household data. Journal of Environmental Economics and Management, 116, 102730.
  17. Heil, M.T. and Selden, T.M., 2001. Carbon emissions and economic development: future trajectories based on historical experience. Environment and Development Economics, 6(1), 63-83.
  18. Huber, P.J., 1973. Robust regression: asymptotics, conjectures and Monte Carlo. The annals of statistics, 799-821.
  19. Knight, K.W. and Schor, J.B., 2014. Economic growth and climate change: a cross-national analysis of territorial and consumption-based carbon emissions in high-income countries. Sustainability, 6(6), 3722-3731.
  20. Martinez-Alier, J. and Muradian, R., 2015. Handbook of Ecological Economics. Edward Elgar Publishing, Camberley, Surrey.
  21. Palagi, E., Coronese, M., Lamperti, F. and Roventini, A., 2022. Climate change and the nonlinear impact of precipitation anomalies on income inequality. Proceedings of the National Academy of Sciences, 119(43), e2203595119.
  22. Pattison, A., Habans, R. and Clement, M.T., 2014. Ecological modernization or aristocratic conservation? Exploring the impact of affluence on carbon emissions at the local level. Society & Natural Resources, 27(8), 850-866.
  23. Piketty, T. and Zucman, G., 2014. Capital is back: Wealth-income ratios in rich countries 1700–2010. The Quarterly journal of economics, 129(3), 1255-1310.
  24. Ravallion, M., Heil, M. and Jalan, J., 2000. Carbon emissions and income inequality. Oxford Economic Papers, 52(4), 651-669.
  25. Rehm, Y. and Chancel, L., 2022. Measuring the Carbon Content of Wealth Evidence from France and Germany. Working Paper, World Inequality Lab.
  26. Rousseeuw, P. and Yohai, V., 1984. Robust regression by means of S-estimators. In Robust and nonlinear time series analysis: Proceedings of a Workshop Organized, 1983, 256-272.
  27. Saez, E. and Zucman, G., 2016. Wealth inequality in the United States since 1913: Evidence from capitalized income tax data. The Quarterly Journal of Economics, 131(2), 519-578.
  28. Sakian, M., Mahmoudzadeh, M., Mousavi, M.H. and Gholam Abri, A., 2020. Analysis of the income and wealth gap in Iran: A Piketty approach. Econometric Modeling, 6(1), 57–75. (In Persian with English abstract)
  29. Sakian, M., Mahmoudzadeh, M., Mousavi, M.H. and Gholam Abri, A., 2024. The effects of income distribution inequality on wealth in Iran. Parliament and Strategy, 31(117), 75–102. (In Persian with English abstract)
  30. Salibian-Barrera, M., 2006. Bootstrapping MM-estimators for linear regression with fixed designs. Statistics & probability letters, 76(12), 1287-1297.
  31. Schor, J., 1998. The Overspent American: Upscaling, Downshifting, and the New Consum er. Basic Books, New York.
  32. Schmalensee, R., Stoker, T.M. and Judson, R. A., 1998. World carbon dioxide emissions: 1950–2050. Review of Economics and Statistics, 80(1), 15-27.
  33. Shahabadi, A., Kheshtmal Nasrani, M. and Moradi, A., 2019. The impact of knowledge components on global wealth distribution inequality. Planning and Budgeting Quarterly Journal, 24(4), 75–96. (In Persian with English abstract)
  34. Temple, J., 1999. The new growth evidence. Journal of economic Literature, 37(1), 112-156.
  35. Veblen, T., 1934. Theory of the Leisure Class. Modern Library, New York.
  36. Weber, C.L. and Matthews, H.S., 2008. Quantifying the global and distributional aspects of American household carbon footprint. Ecological economics, 66(2-3), 379-391.
  37. Yohai, V.J., 1987. High breakdown-point and high efficiency robust estimates for regression. The Annals of statistics, 642-656.
  38. Zucman, G., 2019. Global wealth inequality. Annual Review of Economics, 11(1), 109-138.