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Income Disparity, Institutional Effectiveness, and Environmental Decline in Post-Soviet Economies: Insights from VEC and VAR Causality Methods

Year 2025, Volume: 9 Issue: 1, 1 - 12, 25.02.2025
https://doi.org/10.25295/fsecon.1512817

Abstract

This research investigates how income distribution, and the quality of institutions influence environmental damage in post-Soviet economies from 1996 to 2020, employing advanced panel estimation techniques. To test Granger causality, we utilize two alternative methodological procedures: The VECM and the augmented level VAR model with integrated and co-integrated procedures of arbitrary orders suggested by Toda & Yamamoto (1995). Our primary finding suggests that although the VECM results do not uncover a causal relationship running from income distribution and institutional quality to CO2 emission, the Toda-Yamamoto approach indicates causality from the Gini index and the majority of the evaluated institutional quality indicators—such as control of corruption, government effectiveness, regulatory quality, and rule of law—to carbon dioxide emissions. Strong institutions bolster the enforcement of environmental policies, encourage sustainability, and mitigate emissions by ensuring compliance with regulations and responsible resource utilization. Addressing income inequality in observed countries is vital as it leads to consumption disparities and limited access to clean technologies, resulting in heightened carbon emissions and environmental degradation, especially pertinent in post-Soviet economies where adopting equitable economic policies alongside robust environmental regulations and governance is imperative.

References

  • Abduqayumov, S., Arshed, N. & Bukhari, S. (2020). Economic impact of institutional quality on enviromental performance in Post - Soviet Countries. Transition Studies Review, 27(3), 13-24.
  • Ağcakaya, S. (2009). Geçiş ekonomilerinden Orta Asya Türk Cumhuriyetleri’nde bütçe yönetimi ve mali disiplin. Akademik Bakış, 16.
  • Barbier, E. B. (2015). Climate change impacts on rural poverty in low-elevation coastal zones. Estuarine, Coastal and Shelf Science, 165, 1-13.
  • Borghesi, S. (2006). Income inequality and the environmental Kuznets curve. Environment, Inequality, and Collective Action, 33.
  • Boyce, J. (1994). Inequality as a cause of environmental degradation. Ecological Economics, 11(3), 168-179.
  • Breitung, J. (2000). The local power of some unit root tests for panel data. B. H. Baltagi, T. B. Fomby & R. Carter Hill (Ed.), Nonstationary panels, panel cointegration, and dynamic panels (p. 161-177). Emerald Group Publishing Limited, Leeds.
  • Carlsson, F. &. Lundstöm, S. (2003). The effects of economic and political freedom on CO2 emissions. Göteborg University Department of Economics Working Papers in Economics, 29.
  • Chhabra, M. G. (2023). Do trade openness and institutional quality contribute to carbon emission reduction? Evidence from BRICS countries. Environ Sci Pollut Res, 30, 50986–51002.
  • Choi, I. (2001). Unit root tests for panel data. Journal of International Money and Banking, 20(2), 249-272.
  • Demir, C., Cergibozan, R. & Gok, A. (2019). Income inequality and CO2 emissions: Empirical evidence from Turkey. Energy and Environment, 30(3), 444-461.
  • Destek, M. (2019). An investigation on the impact of income distribution on environmental pollution. Gaziantep University Journal of Social Sciences, 18(4), 1477-1488.
  • Gallagher, K. P. (2008). Democracy, income, and environmental quality. University of Massachussets Amherst. PERI Working Paper 164.
  • Gani, A. (2012). The relationship between good governance and carbon dioxide emissions: Evidence. Journal of Economic Development, 37(1), 77-93.
  • Golley J, M. X. (2012). Income inequality and carbon dioxide emissions: the case of Chinese urban households. Energy Economics, 34(6), 1864–1872.
  • Grossman, G. M. (1991). Environmental impacts of a North American free trade agreement. National Bureau of Economic Research, Cambridge.
  • Hao Y, Chen, H. & Zhang, Q. (2016). Will income inequality affect environmental quality? Analysis based on China’s provincial panel data. Ecological Indicators 67, 533-542.
  • Harbaugh, W. T., Levinson, A. & Wilson, D. M. (2002). Reexamining the empirical evidence for an environmental Kuznets curve. The Review of Economics and Statistics, 84(3), 541-551.
  • Heerink N, Abay, M. & Erwin, B. (2001). Income inequality and the environment: aggregation bias in environmental Kuznets curves. Ecological Economics, 38(3), 359–367.
  • Hübler, M. (2017). The inequality-emissions nexus in the context of trade and development: a quantile regression approach. Ecological Economics, 134, 137-185.
  • Im, K. P. (2003). Testing for unit roots in heterogeneous panels. Journal of Econometrics, 115(1), 53-74.
  • Kim, H. S. & Baek, J. (2011). The environmental consequences of economic growth revisited. Economics Bulletin, 31, 1198-1211.
  • Kuznets, S. (1995). Economic growth and income inequality. American Economic Review, 45(1), 1-28.
  • Levin, A. C. (2022). Unit root tests in panel data: Asymptotic and finite-sample properties. Journal of Econometrics, 108(1), 1-24.
  • Maddala, G. a. (1999). A comparative study of unit root tests with panel data and a new simple test. Oxford Bulletin of Economics and Statistics, (Special Issue), 631-652.
  • Michael Bernhard, D.-J. J. (2017). Civil society and income inequality in post-communist Eurasia. Comparative Politics, 49(3), 373-90.
  • Muhammad Azam, L. L. (2021). Impact of institutional quality on environment and energy consumption: evidence from developing world. Environment, Development and Sustainability, 23, 1646–1667.
  • Náplava, R. (2020). Institutional quality and income inequality: Evidence from Post-Soviet countries. European Journal, 6(2), 100-112.
  • Osabuohien, E. S. (2014). Beyond the environmental Kuznets curve in Africa: Evidence from panel cointegration. Journal of Environmental Policy and Planning, 14(4), 517-538.
  • Pesaran, M. S. (2001). Bounds testing approaches to the analysis of level relationships. Journal of Applied Econometrics, 16(3), 289-326.
  • Pittis, N. (1999). Efficient estimation of cointegrating vectors and testing for causality in vector autoregressions. Journal of Economic Surveys, 13(1), 1-35.
  • Roger Perman, Y. M. (2003). Natural resource and environmental economics. Pearson Education Limited.
  • Scruggs, L. A. (2008). Political regimes, democratic institutions, and environmental sustainability: A cross-national analysis. In Proceedings of the Midwest Political Science Association Meeting in Chicago, 36, Chicago, IL, USA.
  • Toda, H. Y. & Phillips, P. (1993). The spurious effect of unit roots on vector autoregressions. Journal of Econometrics, 59(3), 229-255
  • Toda, H. Y. (1995). Statistical inference in vector autoregressions with possibly integrated processes. Journal of Econometrics, 66(1-2), 225-250.
  • Tonoyan, T. (2005). Poverty, inequality and health: А case study of Armenia. Beitrag Nr. 124 / Issued No. 124.
  • Yang, Bo, Ali, M., Hashmi, S. H. & Jahanger, A. (2022). Do income inequality and institutional quality affect CO2 emissions?. Environmental Science and Pollution Research, 29, 42720–42741.
  • Yasar, N. (2021). The causal relationship between foreign debt and economic growth: Evidence from commonwealth independent states. Foreign Trade Review, 56(4), 415-429.

Sovyet Sonrası Ekonomilerde Gelir Eşitsizliği, Kurumsal Etkinlik ve Çevresel Gerileme: VEC ve VAR Nedensellik Yöntemlerinden Çıkarımlar

Year 2025, Volume: 9 Issue: 1, 1 - 12, 25.02.2025
https://doi.org/10.25295/fsecon.1512817

Abstract

Bu çalışma, gelişmiş panel veri tekniklerini kullanarak 1996-2020 dönemi için post-Sovyet ekonomilerinde gelir eşitsizliği ve kurumsal etkinlik ile çevresel bozulma arasındaki nedensellik ilişkisini incelemektedir. Granger nedensellik sürecinin araştırılması için iki alternatif yöntem olarak Vektör Hata Düzeltme (VHD) modeli ve Toda & Yamamoto (1995) tarafından geliştirilen VAR modeli kullanılmıştır. Temel bulgumuz, VHD modeli sonuçlarına göre gelir eşitsizliği ve kurumsal kalite ile karbondioksit emisyonu arasında nedensel bir ilişki ortaya çıkmamasına rağmen Toda-Yamamoto yaklaşımı, Gini endeksinden ve yolsuzluk kontrolü, hükümet etkinliği, düzenleyici kalite ve hukukun üstünlüğü gibi kurumsal kalite göstergelerinden karbondioksit emisyonuna doğru ilerleyen bir nedensellik ilişkisinin bulunduğunu öne sürmektedir. Elde ettiğimiz sonuçlara esasen, gözlemlenen ülkelerde güçlü kurumlar, çevre politikalarının uygulanmasını destekler, sürdürülebilirliği teşvik eder ve düzenlemelere uyumu ve sorumlu kaynak kullanımını sağlayarak emisyonları azaltır. Diğer yandan, gelir eşitsizliği tüketim farklılıklarına ve temiz teknolojilere sınırlı erişime yol açarak karbon emisyonlarının artmasına ve çevresel bozulmaya neden olabilmektedir. Bu durum, sağlam çevre düzenlemeleri ve yönetişimin yanı sıra adil ekonomik politikaların benimsenmesinin zorunlu olduğu Sovyet sonrası ekonomiler için geçerli olmaktadır.

References

  • Abduqayumov, S., Arshed, N. & Bukhari, S. (2020). Economic impact of institutional quality on enviromental performance in Post - Soviet Countries. Transition Studies Review, 27(3), 13-24.
  • Ağcakaya, S. (2009). Geçiş ekonomilerinden Orta Asya Türk Cumhuriyetleri’nde bütçe yönetimi ve mali disiplin. Akademik Bakış, 16.
  • Barbier, E. B. (2015). Climate change impacts on rural poverty in low-elevation coastal zones. Estuarine, Coastal and Shelf Science, 165, 1-13.
  • Borghesi, S. (2006). Income inequality and the environmental Kuznets curve. Environment, Inequality, and Collective Action, 33.
  • Boyce, J. (1994). Inequality as a cause of environmental degradation. Ecological Economics, 11(3), 168-179.
  • Breitung, J. (2000). The local power of some unit root tests for panel data. B. H. Baltagi, T. B. Fomby & R. Carter Hill (Ed.), Nonstationary panels, panel cointegration, and dynamic panels (p. 161-177). Emerald Group Publishing Limited, Leeds.
  • Carlsson, F. &. Lundstöm, S. (2003). The effects of economic and political freedom on CO2 emissions. Göteborg University Department of Economics Working Papers in Economics, 29.
  • Chhabra, M. G. (2023). Do trade openness and institutional quality contribute to carbon emission reduction? Evidence from BRICS countries. Environ Sci Pollut Res, 30, 50986–51002.
  • Choi, I. (2001). Unit root tests for panel data. Journal of International Money and Banking, 20(2), 249-272.
  • Demir, C., Cergibozan, R. & Gok, A. (2019). Income inequality and CO2 emissions: Empirical evidence from Turkey. Energy and Environment, 30(3), 444-461.
  • Destek, M. (2019). An investigation on the impact of income distribution on environmental pollution. Gaziantep University Journal of Social Sciences, 18(4), 1477-1488.
  • Gallagher, K. P. (2008). Democracy, income, and environmental quality. University of Massachussets Amherst. PERI Working Paper 164.
  • Gani, A. (2012). The relationship between good governance and carbon dioxide emissions: Evidence. Journal of Economic Development, 37(1), 77-93.
  • Golley J, M. X. (2012). Income inequality and carbon dioxide emissions: the case of Chinese urban households. Energy Economics, 34(6), 1864–1872.
  • Grossman, G. M. (1991). Environmental impacts of a North American free trade agreement. National Bureau of Economic Research, Cambridge.
  • Hao Y, Chen, H. & Zhang, Q. (2016). Will income inequality affect environmental quality? Analysis based on China’s provincial panel data. Ecological Indicators 67, 533-542.
  • Harbaugh, W. T., Levinson, A. & Wilson, D. M. (2002). Reexamining the empirical evidence for an environmental Kuznets curve. The Review of Economics and Statistics, 84(3), 541-551.
  • Heerink N, Abay, M. & Erwin, B. (2001). Income inequality and the environment: aggregation bias in environmental Kuznets curves. Ecological Economics, 38(3), 359–367.
  • Hübler, M. (2017). The inequality-emissions nexus in the context of trade and development: a quantile regression approach. Ecological Economics, 134, 137-185.
  • Im, K. P. (2003). Testing for unit roots in heterogeneous panels. Journal of Econometrics, 115(1), 53-74.
  • Kim, H. S. & Baek, J. (2011). The environmental consequences of economic growth revisited. Economics Bulletin, 31, 1198-1211.
  • Kuznets, S. (1995). Economic growth and income inequality. American Economic Review, 45(1), 1-28.
  • Levin, A. C. (2022). Unit root tests in panel data: Asymptotic and finite-sample properties. Journal of Econometrics, 108(1), 1-24.
  • Maddala, G. a. (1999). A comparative study of unit root tests with panel data and a new simple test. Oxford Bulletin of Economics and Statistics, (Special Issue), 631-652.
  • Michael Bernhard, D.-J. J. (2017). Civil society and income inequality in post-communist Eurasia. Comparative Politics, 49(3), 373-90.
  • Muhammad Azam, L. L. (2021). Impact of institutional quality on environment and energy consumption: evidence from developing world. Environment, Development and Sustainability, 23, 1646–1667.
  • Náplava, R. (2020). Institutional quality and income inequality: Evidence from Post-Soviet countries. European Journal, 6(2), 100-112.
  • Osabuohien, E. S. (2014). Beyond the environmental Kuznets curve in Africa: Evidence from panel cointegration. Journal of Environmental Policy and Planning, 14(4), 517-538.
  • Pesaran, M. S. (2001). Bounds testing approaches to the analysis of level relationships. Journal of Applied Econometrics, 16(3), 289-326.
  • Pittis, N. (1999). Efficient estimation of cointegrating vectors and testing for causality in vector autoregressions. Journal of Economic Surveys, 13(1), 1-35.
  • Roger Perman, Y. M. (2003). Natural resource and environmental economics. Pearson Education Limited.
  • Scruggs, L. A. (2008). Political regimes, democratic institutions, and environmental sustainability: A cross-national analysis. In Proceedings of the Midwest Political Science Association Meeting in Chicago, 36, Chicago, IL, USA.
  • Toda, H. Y. & Phillips, P. (1993). The spurious effect of unit roots on vector autoregressions. Journal of Econometrics, 59(3), 229-255
  • Toda, H. Y. (1995). Statistical inference in vector autoregressions with possibly integrated processes. Journal of Econometrics, 66(1-2), 225-250.
  • Tonoyan, T. (2005). Poverty, inequality and health: А case study of Armenia. Beitrag Nr. 124 / Issued No. 124.
  • Yang, Bo, Ali, M., Hashmi, S. H. & Jahanger, A. (2022). Do income inequality and institutional quality affect CO2 emissions?. Environmental Science and Pollution Research, 29, 42720–42741.
  • Yasar, N. (2021). The causal relationship between foreign debt and economic growth: Evidence from commonwealth independent states. Foreign Trade Review, 56(4), 415-429.
There are 37 citations in total.

Details

Primary Language English
Subjects Applied Macroeconometrics
Journal Section Articles
Authors

Nermin Yaşar Başkaraağaç 0000-0002-4159-4146

Publication Date February 25, 2025
Submission Date July 9, 2024
Acceptance Date July 29, 2024
Published in Issue Year 2025 Volume: 9 Issue: 1

Cite

APA Yaşar Başkaraağaç, N. (2025). Income Disparity, Institutional Effectiveness, and Environmental Decline in Post-Soviet Economies: Insights from VEC and VAR Causality Methods. Fiscaoeconomia, 9(1), 1-12. https://doi.org/10.25295/fsecon.1512817

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