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Long-run dynamics of sulphur dioxide emissions, economic growth and energy efficiency in China

Author

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  • Hu, Bin
  • Li, Zhengtao
  • Zhang, Lin

Abstract

This paper estimates the linkages among total Sulphur dioxide (SO2) emissions, total GDP and energy efficiency using China’s provincial panel data from 2002 to 2015. We investigate total emissions rather than per capita emissions or ambient concentrations, since it is total emissions that the environment cares about. Energy efficiency is estimated using stochastic frontier analysis and decomposed into both persistent and transient efficiency. We then investigate the long-run dynamics among SO2 emissions, economic growth and energy efficiency by employing the panel-based error correction model and taking the effects of cyclical variations into account. Our analysis shows that GDP has a positive impact on total SO2 emissions in the short run and gains in energy efficiency have a significant negative effect on emissions in the long run. By controlling the effects of business cycle, the effects of GDP on emissions remain positive in both short and long run. Cross-sectional analysis provides similar insights. We argue that economic growth itself is an emission generator. Therefore, the government needs to establish a long-run strategy to curb the emissions by improving energy efficiency.

Suggested Citation

  • Hu, Bin & Li, Zhengtao & Zhang, Lin, 2019. "Long-run dynamics of sulphur dioxide emissions, economic growth and energy efficiency in China," MPRA Paper 94588, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:94588
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    File URL: https://mpra.ub.uni-muenchen.de/94588/1/MPRA_paper_94588.pdf
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    1. Fodha, Mouez & Zaghdoud, Oussama, 2010. "Economic growth and pollutant emissions in Tunisia: An empirical analysis of the environmental Kuznets curve," Energy Policy, Elsevier, vol. 38(2), pages 1150-1156, February.
    2. Grossman, G.M & Krueger, A.B., 1991. "Environmental Impacts of a North American Free Trade Agreement," Papers 158, Princeton, Woodrow Wilson School - Public and International Affairs.
    3. Matthieu Llorca & Andre Meunie, 2009. "SO2 emissions and the environmental Kuznets curve: the case of Chinese provinces," Journal of Chinese Economic and Business Studies, Taylor & Francis Journals, vol. 7(1), pages 1-16.
    4. Massimo Filippini & Lester C. Hunt, 2011. "Energy Demand and Energy Efficiency in the OECD Countries: A Stochastic Demand Frontier Approach," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 59-80.
    5. Mehdi Farsi & Massimo Filippini & William Greene, 2005. "Efficiency Measurement in Network Industries: Application to the Swiss Railway Companies," Journal of Regulatory Economics, Springer, vol. 28(1), pages 69-90, July.
    6. Lin Zhang and Philip Kofi Adom, 2018. "Energy Efficiency Transitions in China: How Persistent are the Movements to/from the Frontier?," The Energy Journal, International Association for Energy Economics, vol. 0(Number 6).
    7. Hanley, Nick & McGregor, Peter G. & Swales, J. Kim & Turner, Karen, 2009. "Do increases in energy efficiency improve environmental quality and sustainability?," Ecological Economics, Elsevier, vol. 68(3), pages 692-709, January.
    8. Peter Pedroni, 1999. "Critical Values for Cointegration Tests in Heterogeneous Panels with Multiple Regressors," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(S1), pages 653-670, November.
    9. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    10. Ozturk, Ilhan, 2010. "A literature survey on energy-growth nexus," Energy Policy, Elsevier, vol. 38(1), pages 340-349, January.
    11. Narayan, Paresh Kumar & Narayan, Seema, 2010. "Carbon dioxide emissions and economic growth: Panel data evidence from developing countries," Energy Policy, Elsevier, vol. 38(1), pages 661-666, January.
    12. Jayanthakumaran, Kankesu & Verma, Reetu & Liu, Ying, 2012. "CO2 emissions, energy consumption, trade and income: A comparative analysis of China and India," Energy Policy, Elsevier, vol. 42(C), pages 450-460.
    13. Stern, David I. & Common, Michael S. & Barbier, Edward B., 1996. "Economic growth and environmental degradation: The environmental Kuznets curve and sustainable development," World Development, Elsevier, vol. 24(7), pages 1151-1160, July.
    14. repec:bla:obuest:v:61:y:1999:i:0:p:653-70 is not listed on IDEAS
    15. Greene, William, 2005. "Reconsidering heterogeneity in panel data estimators of the stochastic frontier model," Journal of Econometrics, Elsevier, vol. 126(2), pages 269-303, June.
    16. Alam, Mohammad Jahangir & Begum, Ismat Ara & Buysse, Jeroen & Rahman, Sanzidur & Van Huylenbroeck, Guido, 2011. "Dynamic modeling of causal relationship between energy consumption, CO2 emissions and economic growth in India," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(6), pages 3243-3251, August.
    17. Peter Pedroni, 2001. "Purchasing Power Parity Tests In Cointegrated Panels," The Review of Economics and Statistics, MIT Press, vol. 83(4), pages 727-731, November.
    18. Yuan, Jia-Hai & Kang, Jian-Gang & Zhao, Chang-Hong & Hu, Zhao-Guang, 2008. "Energy consumption and economic growth: Evidence from China at both aggregated and disaggregated levels," Energy Economics, Elsevier, vol. 30(6), pages 3077-3094, November.
    19. Zhang, Lin, 2013. "Model projections and policy reviews for energy saving in China's service sector," Energy Policy, Elsevier, vol. 59(C), pages 312-320.
    20. Stern, David I., 2004. "The Rise and Fall of the Environmental Kuznets Curve," World Development, Elsevier, vol. 32(8), pages 1419-1439, August.
    21. Belke, Ansgar & Dobnik, Frauke & Dreger, Christian, 2011. "Energy consumption and economic growth: New insights into the cointegration relationship," Energy Economics, Elsevier, vol. 33(5), pages 782-789, September.
    22. Vishal Chandr Jaunky and Lin Zhang, 2016. "Convergence of Operational Efficiency in Chinas Provincial Power Sectors," The Energy Journal, International Association for Energy Economics, vol. 0(China Spe).
    23. Willam Greene, 2005. "Fixed and Random Effects in Stochastic Frontier Models," Journal of Productivity Analysis, Springer, vol. 23(1), pages 7-32, January.
    24. Agras, Jean & Chapman, Duane, 1999. "A dynamic approach to the Environmental Kuznets Curve hypothesis," Ecological Economics, Elsevier, vol. 28(2), pages 267-277, February.
    25. Jondrow, James & Knox Lovell, C. A. & Materov, Ivan S. & Schmidt, Peter, 1982. "On the estimation of technical inefficiency in the stochastic frontier production function model," Journal of Econometrics, Elsevier, vol. 19(2-3), pages 233-238, August.
    26. Rajbhandari, Ashish & Zhang, Fan, 2018. "Does energy efficiency promote economic growth? Evidence from a multicountry and multisectoral panel dataset," Energy Economics, Elsevier, vol. 69(C), pages 128-139.
    27. Costantini, Valeria & Martini, Chiara, 2010. "The causality between energy consumption and economic growth: A multi-sectoral analysis using non-stationary cointegrated panel data," Energy Economics, Elsevier, vol. 32(3), pages 591-603, May.
    28. Zhang, Lin, 2017. "Correcting the uneven burden sharing of emission reduction across provinces in China," Energy Economics, Elsevier, vol. 64(C), pages 335-345.
    29. Yıldırım, Ertugrul & Sukruoglu, Deniz & Aslan, Alper, 2014. "Energy consumption and economic growth in the next 11 countries: The bootstrapped autoregressive metric causality approach," Energy Economics, Elsevier, vol. 44(C), pages 14-21.
    30. Wang, Yuan & Han, Rong & Kubota, Jumpei, 2016. "Is there an Environmental Kuznets Curve for SO2 emissions? A semi-parametric panel data analysis for China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 1182-1188.
    31. Mehdi Farsi & Massimo Filippini & Michael Kuenzle, 2005. "Unobserved heterogeneity in stochastic cost frontier models: an application to Swiss nursing homes," Applied Economics, Taylor & Francis Journals, vol. 37(18), pages 2127-2141.
    32. Zachariadis, Theodoros, 2007. "Exploring the relationship between energy use and economic growth with bivariate models: New evidence from G-7 countries," Energy Economics, Elsevier, vol. 29(6), pages 1233-1253, November.
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    More about this item

    Keywords

    Sulphur dioxide emissions; energy efficiency; stochastic frontier analysis; error-correction model;
    All these keywords.

    JEL classification:

    • Q0 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General
    • Q01 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General - - - Sustainable Development
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy
    • Q56 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environment and Development; Environment and Trade; Sustainability; Environmental Accounts and Accounting; Environmental Equity; Population Growth

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