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The Convergence Behavior of CO2 Emissions in Seven Regions under Multiple Structural Breaks

Author

Listed:
  • Ali Acaravci

    (Faculty of Economics and Administrative Sciences, Mustafa Kemal University, Hatay, Turkey,)

  • Sinan Erdogan

    (Faculty of Economics and Administrative Sciences, Mustafa Kemal University, Hatay, Turkey)

Abstract

The aim of this paper is to examine the convergence behavior of carbon dioxide emissions per capita (co) in seven regions for 1960-2011 period by using recently developed the second generation panel data methods. Empirical results are as follows: (i) There exists cross-sectional dependency for co variable, (ii) the cross-sectionally augmented Dickey Fuller unit root test without structural breaks shows that the co variable is stationary at its first differences, (iii) but the panel KPSS unit root test with structural breaks the co variable is stationary at its level. The overall results indicate that the regional stochastic convergence of carbon emission per capita is valid for the seven regions under structural breaks and any environmental shock has temporary effect

Suggested Citation

  • Ali Acaravci & Sinan Erdogan, 2016. "The Convergence Behavior of CO2 Emissions in Seven Regions under Multiple Structural Breaks," International Journal of Energy Economics and Policy, Econjournals, vol. 6(3), pages 575-580.
    • Handle: RePEc:eco:journ2:2016-03-23
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    References listed on IDEAS

    as
    1. Joseph E. Aldy, 2007. "Divergence in State-Level Per Capita Carbon Dioxide Emissions," Land Economics, University of Wisconsin Press, vol. 83(3), pages 353-369.
    2. Marco Barassi & Matthew Cole & Robert Elliott, 2008. "Stochastic Divergence or Convergence of Per Capita Carbon Dioxide Emissions: Re-examining the Evidence," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 40(1), pages 121-137, May.
    3. Joseph Aldy, 2006. "Per Capita Carbon Dioxide Emissions: Convergence or Divergence?," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 33(4), pages 533-555, April.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

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    3. Vaseem Akram & Badri Narayan Rath & Pradipta Kumar Sahoo, 2024. "Club convergence in per capita carbon dioxide emissions across Indian states," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(8), pages 19907-19934, August.
    4. Hongze Li & FengYun Li & Xinhua Yu, 2018. "China’s Contributions to Global Green Energy and Low-Carbon Development: Empirical Evidence under the Belt and Road Framework," Energies, MDPI, vol. 11(6), pages 1-32, June.
    5. Firat Emir & Mehmet Balcilar & Muhammad Shahbaz, 2018. "Inequality in Carbon Intensity in EU-28: Analysis Based on Club Convergence," Working Papers 15-38, Eastern Mediterranean University, Department of Economics.
    6. Rodríguez-Benavides, Domingo & Andrés-Rosales, Roldán & Álvarez-García, José & Bekun, Festus Víctor, 2024. "Convergence of clubs between per capita carbon dioxide emissions from fossil fuels and cement production," Energy Policy, Elsevier, vol. 186(C).
    7. Lei Pan & Svetlana Maslyuk-Escobedo, 2017. "Stochastic convergence in per capita energy consumption and its catch-up rate: Evidence from 26 African countries," Monash Economics Working Papers 16-17, Monash University, Department of Economics.
    8. Rafael Morales-Lage & Aurelia Bengochea-Morancho & Mariam Camarero & Inmaculada Martínez-Zarzoso, 2017. "Stochastic and club convergence of sectoral CO2 emissions in the European Union," Working Papers 2017/01, Economics Department, Universitat Jaume I, Castellón (Spain).
    9. Karakaya, Etem & Sarı, Erkam & Alataş, Sedat, 2021. "What drives material use in the EU? Evidence from club convergence and decomposition analysis on domestic material consumption and material footprint," Resources Policy, Elsevier, vol. 70(C).

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    More about this item

    Keywords

    Carbon Emissions; Stochastic Convergence; Panel Data;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • Q53 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Air Pollution; Water Pollution; Noise; Hazardous Waste; Solid Waste; Recycling
    • 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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