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Nonlinearity between CO 2 Emission and Economic Development: Evidence from a Functional Coefficient Panel Approach

Author

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  • Kyungsik Nam

    (Energy Industry Research Group, Korea Energy Economics Institute, Ulsan 44543, Korea)

  • Sungro Lee

    (Research Institute of Economics and Management, Korea Gas Corporation, Daegu 41062, Korea)

  • Hocheol Jeon

    (Climate, Air Quality and Safety Research Group, Korea Environmental Institute, Sejong 30147, Korea)

Abstract

This paper investigates the nonlinear relationship between CO 2 emission and economic development using a newly developed functional coefficient panel model. In contrast to the existing literature, which suggests that the income elasticity of CO 2 emission is parametrically modeled as a function of income, the income coefficient of CO 2 emission is set as a function of both income and time. Then, we estimate the income elasticity in a nonparametric way using the country panel data covering 1971–2017. By doing so, we impose richer dynamics to the income elasticity not only over income but also over time. Our empirical results indicate that the income elasticity has decreased over time for high-income countries, whereas it has increased over time for low-income countries.

Suggested Citation

  • Kyungsik Nam & Sungro Lee & Hocheol Jeon, 2020. "Nonlinearity between CO 2 Emission and Economic Development: Evidence from a Functional Coefficient Panel Approach," Sustainability, MDPI, vol. 12(24), pages 1-10, December.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:24:p:10258-:d:458880
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    1. anonymous, 1995. "Does the bouncing ball lead to economic growth?," Regional Update, Federal Reserve Bank of Atlanta, issue Jul, pages 1-2,4-6.
    2. Daniel L. Millimet & John A. List & Thanasis Stengos, 2003. "The Environmental Kuznets Curve: Real Progress or Misspecified Models?," The Review of Economics and Statistics, MIT Press, vol. 85(4), pages 1038-1047, November.
    3. Miyamoto, Mai & Takeuchi, Kenji, 2019. "Climate agreement and technology diffusion: Impact of the Kyoto Protocol on international patent applications for renewable energy technologies," Energy Policy, Elsevier, vol. 129(C), pages 1331-1338.
    4. Bloch, Harry & Rafiq, Shuddhasattwa & Salim, Ruhul, 2012. "Coal consumption, CO2 emission and economic growth in China: Empirical evidence and policy responses," Energy Economics, Elsevier, vol. 34(2), pages 518-528.
    5. Gene M. Grossman & Alan B. Krueger, 1995. "Economic Growth and the Environment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 110(2), pages 353-377.
    6. Olimpia Neagu, 2019. "The Link between Economic Complexity and Carbon Emissions in the European Union Countries: A Model Based on the Environmental Kuznets Curve (EKC) Approach," Sustainability, MDPI, vol. 11(17), pages 1-27, August.
    7. Peter C.B. Phillips & Joon Y. Park, 1998. "Nonstationary Density Estimation and Kernel Autoregression," Cowles Foundation Discussion Papers 1181, Cowles Foundation for Research in Economics, Yale University.
    8. Arrow, Kenneth & Bolin, Bert & Costanza, Robert & Dasgupta, Partha & Folke, Carl & Holling, C.S. & Jansson, Bengt-Owe & Levin, Simon & Mäler, Karl-Göran & Perrings, Charles & Pimentel, David, 1996. "Economic growth, carrying capacity, and the environment," Environment and Development Economics, Cambridge University Press, vol. 1(1), pages 104-110, February.
    9. Bertinelli, Luisito & Strobl, Eric, 2005. "The Environmental Kuznets Curve semi-parametrically revisited," Economics Letters, Elsevier, vol. 88(3), pages 350-357, September.
    10. anonymous, 1995. "Alan Blinder surveys the growth of the U.S. economy," Economics Update, Federal Reserve Bank of Atlanta, issue Jan, pages 1-6.
    11. Park, Joon Y. & Hahn, Sang B., 1999. "Cointegrating Regressions With Time Varying Coefficients," Econometric Theory, Cambridge University Press, vol. 15(5), pages 664-703, October.
    12. Yoosoon Chang & Chang Sik Kim & J. Isaac Miller & Joon Y. Park & Sungkeun Park, 2014. "Time-varying Long-run Income and Output Elasticities of Electricity Demand," Working Papers 1409, Department of Economics, University of Missouri.
    13. CARSON, RICHARd T. & JEON, YONGIL & McCUBBIN, DONALD R., 1997. "The relationship between air pollution emissions and income: US Data," Environment and Development Economics, Cambridge University Press, vol. 2(4), pages 433-450, November.
    14. Zoi Vrontisi & Kostas Fragkiadakis & Maria Kannavou & Pantelis Capros, 2020. "Energy system transition and macroeconomic impacts of a European decarbonization action towards a below 2 °C climate stabilization," Climatic Change, Springer, vol. 162(4), pages 1857-1875, October.
    15. Xie, Pinjie & Yang, Fan & Mu, Zhuowen & Gao, Shuangshuang, 2020. "Influencing factors of the decoupling relationship between CO2 emission and economic development in China’s power industry," Energy, Elsevier, vol. 209(C).
    16. Chang, Yoosoon & Choi, Yongok & Kim, Chang Sik & Miller, J. Isaac & Park, Joon Y., 2016. "Disentangling temporal patterns in elasticities: A functional coefficient panel analysis of electricity demand," Energy Economics, Elsevier, vol. 60(C), pages 232-243.
    17. Jeyhun I. Mikayilov & Fakhri J. Hasanov & Marzio Galeotti, 2018. "Decoupling of C02 Emissions and GDP: A Time-Varying Cointegration Approach," IEFE Working Papers 101, IEFE, Center for Research on Energy and Environmental Economics and Policy, Universita' Bocconi, Milano, Italy.
    18. Chang, Yoosoon & Kim, Chang Sik & Miller, J. Isaac & Park, Joon Y. & Park, Sungkeun, 2014. "Time-varying Long-run Income and Output Elasticities of Electricity Demand with an Application to Korea," Energy Economics, Elsevier, vol. 46(C), pages 334-347.
    19. Dinda, Soumyananda, 2004. "Environmental Kuznets Curve Hypothesis: A Survey," Ecological Economics, Elsevier, vol. 49(4), pages 431-455, August.
    20. Martin Wagner, 2015. "The Environmental Kuznets Curve, Cointegration and Nonlinearity," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 30(6), pages 948-967, September.
    21. Wagner, Martin & Hong, Seung Hyun, 2016. "Cointegrating Polynomial Regressions: Fully Modified Ols Estimation And Inference," Econometric Theory, Cambridge University Press, vol. 32(5), pages 1289-1315, October.
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    Cited by:

    1. Hyunsoo Kang, 2021. "CO 2 Emissions Embodied in International Trade and Economic Growth: Empirical Evidence for OECD and Non-OECD Countries," Sustainability, MDPI, vol. 13(21), pages 1-20, November.
    2. Katarzyna Szymczyk & Dilek Şahin & Haşim Bağcı & Ceyda Yerdelen Kaygın, 2021. "The Effect of Energy Usage, Economic Growth, and Financial Development on CO 2 Emission Management: An Analysis of OECD Countries with a High Environmental Performance Index," Energies, MDPI, vol. 14(15), pages 1-21, August.

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