Bayesian Econometrics Approach in Determining of Effecting Factors on Pollution in Developing Countries (based on Environmental Performance Index)

Document Type : Original Research Paper

Authors

1 Department of Natural Resources and Environment, Science and Research Branch, Islamic Azad University, Tehran, Iran

2 Faculty of Economics, Tehran University, Tehran, Iran

3 Department of Economics, Payam-e-Noor University, Tehran, Iran

Abstract

Emphasis on sustainable development and the need to protect the environment as well as the adverse effects of environmental pollution on the quality of life have made environmental protection one of the main concerns of economic policymakers. For this purpose, approaches to improve the quality of the environment and the factors affecting it have triggered extensive theoretical and empirical studies over the past few decades. These issues have caught the attention of economic analysts. Accordingly, the main objective of this study is to investigate pollution determinants in developing countries from 1996 to 2016, using  Bayesian Model Averaging Method. Given the fact that the weighted mean square coefficient of GDP is positive, the Environmental Kuznets Curve (EKC) Hypothesis can be confirmed with a high degree of certainty. The probability of  this variable's effect is 0.98%, being partially a component of each of the 10 optimal models which highlights the great importance of this variable to explain the environmental performance. Energy consumption variables for each unit of GDP and value added of industry sector are placed in the second and third ranks with effectiveness  probability of 0.89 and 0.85, respectively. They also have a negative impact on environmental performance. Thus, energy consumption per unit of GDP is considered one of the elements of 8 out of 10 optimal models, while the value added of the industrial sector is an element of 7 out of 10 models. This highlights the relative importance of these variables in explaining environmental performance.

Keywords

References

Amadeh, H., shakeri, A., & mohammadeyan, F. (2013). Government size, Government quality and environmental quality Case study of OECD and OIC countries. App. Econ. Stu., 1(2), 27-60.
Apergis, N. and Ozturk, I. (2015). Testing the environmental Kuznets hypothesis in Asian countries. Ecol. Indic.,52; 16-22.
Azomahou, T., Laisney, F. and Van, P. N. (2006). Economic development and CO2 emissions: A nonparametric panel approach. J. Public. Econ., 90(6); 1347-1363.
Charfeddine, L. and KhediriK, B. (2016). Financial development and environmental quality in UAE: Cointegration with structural breaks. Renew. Sust. Energ. Rev., 55; 1322-1335.
Shahbaz, M., Shahzad, S.J., Ahmad, N. and Alam, S. (2016). Financial development and environmental quality: The way forward. Energ. Policy., 98; 353-364.
Fakher, H. (2016). The Empirical Relationship between Fiscal Deficits and Inflation (Case Study: Selected Asian Economies). Iran. Econ. Rev., 20(4); 551-579.
Fakher, H.A. and Abedi, Z. (2017). Relationship between Environmental Quality and Economic Growth in Developing Countries (based on Environmental Performance Index). Environmental Energy and Economic Research, 1(3); 300-310.
Friedl, B. and Getzner, M. (2003). Determinants of CO2 emissions in a small open economy. Ecol. Econ., 45(1); 133-148.
Grossman, G.M., and Kruger, A.G. (1991). Environmental influences of a North American free trade agreement. Working paper. 3914.
Gurrak, T., Jaggers, K., and Moore, W. (2003). Polity Handbook IV, University of Colorado Press, Boulder, CO.
Hollinger, K.H. (2008). Trade Liberalization and the Environment: A Study of NAFTA's Impact in El Paso, Texas and Juarez, Mexico. Virginia Polytechnic Institute and State University, 1-79.
Hao, Y., Zhang, Z.Y., Liao, H., Wei, Y.M. and Wang, S. (2011). Is CO2 emission a side effect of financial development? An empirical analysis for China. Environ. Sci. Pollut. Res. Int., 23; 2197 -2203.
Hao, Y., Chen, H. and Zhang, Q. (2016). Will income inequality affect environmental quality? Analysis based on China's provincial panel data. Ecol. Indic., 67; 533-542.
Jebli, M. B., Youssef, S. B. and Ozturk, I. (2016). Testing the environmental Kuznets curve hypothesis: the role of renewable and non-renewable energy consumption and trade in OECD countries. Ecol. Indic., 60; 824-831.
Jefrier, H. (1961). Theory of probability, England, Oxford: Clarendon Press.
Kais, S. and Mbarek, M.B. (2015). Dynamic relationship between CO2 emissions, energy consumption and economic growth in three North African countries. International Journal of Sustainable Energy., 36(9); 840-854.
Koop, G. (2003). Bayesian Econometrics. England, John Wiley & Sons Ltd.
Sbia, R., Shahbaz, M. and Ozturk, I. (2017). Economic growth, financial development, urbanization and electricity consumption nexus in UAE. Ekon. Istraz., 30(1); 527-549.
Lean, H.H. and Smyth, R. (2010). CO2 emissions, electricity consumption and output in ASEAN. Appl. Energ., 87(6); 1858–1864.
Leamer, E. (1978). Specification searches:  Ad hoc inference with no experimental data. John Wiley & Sons, Inc.
Leamer, E.E. (1978). Specification Searches: Ad Hoc Inference with No experimental Data. Wiley, New York, John Wiley & Sons Incorporated, New York, 53.
Leamera, EE, Maula, H, Rodrigueza, S. and Schott, P.K. (1999). Does natural resource abundance increase Latin American income inequality?. J. Dev. Econ., 59(1); 3–42.
Leitao, A. (2016). Corruption and the Environment. Journal of Socialomics, 5(3); 14-21.
Li, Sh. and Ma, Y. (2014). Urbanization, Economic Development and Environmental Change. Sustainability, 6; 5143-5161.
Lotfalipour, M. R., Falahi, M. and Esmaeilpour Moghaddam, H. (2014). The Impact of Economic Growth, Trade and Financial Development on the Environmental Quality in Iran (on the Basis of Complex Index). J. Econ. Growth. Dev. Res., 4(15); 76-61.
Managi S., Hibiki A. and Tsurumi T. (2009). Does trade openness improve environment quality? J. Environ. Econ. Manage., 58, 346–363.
Morse, S. (2017). Relating Environmental Performance of Nation States to Income and Income Inequality. Sustain. Dev., 25(4); 276-287.
Nasreen, S., Anwar, S. and Ozturk, I. (2017). Financial stability, energy consumption and environmental quality: Evidence from South Asian economies. Renew. Sust. Energ. Rev., 67; 1105-1122.
Nekooei, M. H., Zeinalzadeh, R. and Sadeghi z. (2015). The Effects of Democracy on Environment Quality Index in Selected  OIC Countries. Iranian Journal of Economic Studies., 4(2); 113-133.
Ozturk, I. and Acaravci, A. (2013). The long-run and causal analysis of energy, growth, openness and financial development on carbon emissions in Turkey. Energ. Econ., 36; 262–267.
Raftery, A. E., Madigan, D., and Hoeting, J. A. (1999). Bayesian Model Averaging for Linear Regression Models. J. Am. Stat. Assoc., 92(437); 179–191.
Raftery, A. E., Hoeting, J. A., Madigan, D. and Volinsky, C. T. (1999). Bayesian Model Averaging: a Tutorial. Stat. Sci., 14(4); 382-401.
Rahman, M.M. (2017). Do population density, economic growth, energy use and exports adversely affect environmental quality in Asian populous countries?. Renew. Sust. Energ. Rev., 77; 506-514.
Richmond, A.K. and Kaufmann, R.K. (2006). Is there a turning point in the relationship between income and energy use and/or carbon emissions?. Ecol. Econ., 56(2); 176–189.
Saboori, B., Sulaiman, J. and Mohd, S. (2012). Economic growth and CO2 emissions in Malaysia: a cointegration analysis of the environmental Kuznets curve. Energ. Policy., 51; 184–191.
Seker, F., Ertugrul, H.M. and Cetin, M. (2015). The impact of foreign direct investment on environmental quality: A bounds testing and causality analysis for Turkey. Renew. Sust. Energ. Rev., 52; 347-356.
Shafik, N. (1994). Economic development and environmental quality: an econometric analysis. Oxford. Econ. Pap., 46(1), 757-73.
Tamazian, A., Chousa, J.P. and Vadlamannati, K.C. (2009). Does Higher Economic and Financial Development Lead to Environmental Degradation: Evidence from BRIC Countries. Energ. Policy., 37(1); 246-253.
Uddin, G.A., Salahuddin, M., Alam, K and Gow, J. (2017). Ecological footprint and real income: Panel data evidence from the 27 highest emitting countries. Ecol. Indic., 77; 166-175.
Umer, F., Khoso, M. and Alam, S. H. (2014). Trade Openness, Public Sector Corruption, and Environment: A Panel Data Analysis for Asian Developing Countries. Journal of Business & Economic Policy., 1(2); 2375-0766.
Wasserman, L. (2000). Bayesian Model Selection and Model Averaging. J. Math. Psychol., 44(1); 92–107.
You, W. H., Zhu, H. M., Yu, K. and Peng, C. (2015). Democracy, Financial Openness, and Global Carbon Dioxide Emissions: Heterogeneity Across Existing Emission Levels. World. Dev., 66; 189–207.
Pollution
Volume 4, Issue 3
July 2018
Pages 447-457

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