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Convergence in carbon dioxide emissions and the role of growth and institutions A parametric and nonparametric analysis

Author

Listed:
  • Brännlund, Runar

    (CERE)

  • Karimu, Amin

    (CERE)

  • Söderholm, Patrik

    (Department of Business Administration, Technology and Social Sciences Luleå University of technology)

Abstract

This paper examines convergence of per capita carbon dioxide (CO2) emission for a panel of 124 countries taking into account the impact of the quality of government institutions. The analysis builds on both parametric and nonparametric panel data techniques, and we examine the beta-convergence hypothesis in a neoclassical growth model setting with institutional quality as one of the independent variables. The results reveal evidence in support of beta-convergence of per capita CO2 emissions for the global sample, and for the sub-samples comprising OECD and non-OECD countries, respectively. The results indicate heterogeneity in beta-convergence, which tends to vary with the level of the initial per capita CO2 emissions. We also find evidence of a negative direct effect of institutional quality on growth in per capita CO2 emissions. However, institutional quality also promotes economic growth, thus generating a positive indirect effect on emissions growth. Overall our empirical results suggest a positive total effect of institutions on growth in per capita CO2 emission based on the global sample. Finally, we find some evidence of bias in the parametric approach, in particular in the case of the estimates for the convergence parameter at either end of the distribution.

Suggested Citation

  • Brännlund, Runar & Karimu, Amin & Söderholm, Patrik, 2014. "Convergence in carbon dioxide emissions and the role of growth and institutions A parametric and nonparametric analysis," CERE Working Papers 2014:12, CERE - the Center for Environmental and Resource Economics.
  • Handle: RePEc:hhs:slucer:2014_012
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    Cited by:

    1. Cai, Yifei & Chang, Tsangyao & Inglesi-Lotz, Roula, 2018. "Asymmetric persistence in convergence for carbon dioxide emissions based on quantile unit root test with Fourier function," Energy, Elsevier, vol. 161(C), pages 470-481.
    2. Bali Swain, Ranjula & Kambhampati, Uma S. & Karimu, Amin, 2020. "Regulation, governance and the role of the informal sector in influencing environmental quality?," Ecological Economics, Elsevier, vol. 173(C).
    3. Sanchez, Luis F. & Stern, David I., 2016. "Drivers of industrial and non-industrial greenhouse gas emissions," Ecological Economics, Elsevier, vol. 124(C), pages 17-24.
    4. Yunpeng Sun & Asif Razzaq, 2022. "Composite fiscal decentralisation and green innovation: Imperative strategy for institutional reforms and sustainable development in OECD countries," Sustainable Development, John Wiley & Sons, Ltd., vol. 30(5), pages 944-957, October.
    5. Nusrate Aziz & Belayet Hossain & Laura Lamb, 2022. "Does green policy pay dividends?," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 24(2), pages 147-172, April.
    6. Llorca, Manuel & Rodriguez-Alvarez, Ana, 2024. "Economic, environmental, and energy equity convergence: Evidence of a multi-speed Europe?," Ecological Economics, Elsevier, vol. 219(C).
    7. Silvapulle, Param & Smyth, Russell & Zhang, Xibin & Fenech, Jean-Pierre, 2017. "Nonparametric panel data model for crude oil and stock market prices in net oil importing countries," Energy Economics, Elsevier, vol. 67(C), pages 255-267.
    8. Majed Atwi & Ramón Barberán & Jesús Mur & Ana Angulo, 2018. "CO2 Kuznets Curve Revisited: From Cross-Sections to Panel Data Models," INVESTIGACIONES REGIONALES - Journal of REGIONAL RESEARCH, Asociación Española de Ciencia Regional, issue 40, pages 169-196.
    9. Meng-Shiuh Chang & Chih-Chun Kung, 2018. "The greenhouse gas impact of bioenergy in developing economies: Evidence from Taiwan," Energy & Environment, , vol. 29(3), pages 315-332, May.
    10. LAWSON, Laté A. & MARTINO, Roberto & NGUYEN-VAN, Phu, 2020. "Environmental convergence and environmental Kuznets curve: A unified empirical framework," Ecological Modelling, Elsevier, vol. 437(C).
    11. Zhang, Hongwu & Shi, Xunpeng & Cheong, Tsun Se & Wang, Keying, 2020. "Convergence of carbon emissions at the household level in China: A distribution dynamics approach," Energy Economics, Elsevier, vol. 92(C).
    12. Borowiec, Justyna & Papież, Monika, 2024. "Convergence of CO2 emissions in countries at different stages of development. Do globalisation and environmental policies matter?," Energy Policy, Elsevier, vol. 184(C).
    13. 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).

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    Keywords

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    JEL classification:

    • O43 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Institutions and Growth
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
    • 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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