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Carbon dioxide emissions and governance: A nonparametric analysis for the G-20

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  • Halkos, George E.
  • Tzeremes, Nickolaos G.

Abstract

This paper applies nonparametric estimators to examine the carbon dioxide emissions–governance relationship. By using data for the twenty largest economies (Group of twenty, G-20) the dynamics of the considered relationship are analyzed for the time period 1996–2010. Six governance measures are included in our analysis (Voice and Accountability, Political Stability and Absence of Violence, Government Effectiveness, Regulatory Quality, Rule of Law and Control of Corruption) as have been defined by the World Bank. The empirical findings reveal a high nonlinear relationship between countries' carbon dioxide emissions and the examined governance measures. The results reveal significant differences on the number of governance measures influencing countries' carbon dioxide emission levels. It is evident that these differences are subject to countries' specific regional and development variations. Finally, it appears that increasing the quality of countries' different governance factors does not always result to lower carbon dioxide emission levels.

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  • Halkos, George E. & Tzeremes, Nickolaos G., 2013. "Carbon dioxide emissions and governance: A nonparametric analysis for the G-20," Energy Economics, Elsevier, vol. 40(C), pages 110-118.
  • Handle: RePEc:eee:eneeco:v:40:y:2013:i:c:p:110-118 DOI: 10.1016/j.eneco.2013.06.010
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    Cited by:

    1. Nepal, Rabindra & Tisdell, Clem & Jamasb, Tooraj, 2017. "Economic Reforms and Carbon Dioxide Emissions in European and Central Asian Transition Economies," Economics, Ecology and Environment Working Papers 253076, University of Queensland, School of Economics.
    2. Danny García Callejas, 2015. "Voting for the environment: the importance of Democracy and education in Latin America," REVISTA DE ECONOMÍA DEL CARIBE 014782, UNIVERSIDAD DEL NORTE.
    3. Halkos, George & Sundström, Aksel & Tzeremes, Nickolaos, 2013. "Environmental performance and quality of governance: A non-parametric analysis of the NUTS 1-regions in France, Germany and the UK," MPRA Paper 48890, University Library of Munich, Germany.
    4. George Halkos & Aksel Sundström & Nickolaos Tzeremes, 2015. "Regional environmental performance and governance quality: a nonparametric analysis," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 17(4), pages 621-644, October.
    5. Halkos, George, 2014. "The Economics of Climate Change Policy: Critical review and future policy directions," MPRA Paper 56841, University Library of Munich, Germany.
    6. Nepal, Rabindra & Jamasb, Tooraj & Tisdell, Clement Allan, 2017. "On environmental impacts of market-based reforms: Evidence from the European and Central Asian transition economies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 73(C), pages 44-52.
    7. repec:spr:envpol:v:19:y:2017:i:2:d:10.1007_s10018-016-0162-5 is not listed on IDEAS
    8. Surender Kumar & Shunsuke Managi, 2014. "Carbon sensitive productivity, climate and institutions," Working Papers SDES-2014-15, Kochi University of Technology, School of Economics and Management, revised Nov 2014.
    9. Brännlund Runar & Karimu Amin & Söderholm Patrik, 2017. "Convergence in carbon dioxide emissions and the role of growth and institutions: a parametric and non-parametric analysis," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 19(2), pages 359-390, April.
    10. Kumar, Surender & Managi, Shunsuke, 2016. "Carbon-sensitive productivity, climate and institutions," Environment and Development Economics, Cambridge University Press, vol. 21(01), pages 109-133, February.

    More about this item

    Keywords

    Carbon dioxide emissions; Governance; G-20 countries; Nonparametric analysis;

    JEL classification:

    • Q50 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - General
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • H11 - Public Economics - - Structure and Scope of Government - - - Structure and Scope of Government
    • C50 - Mathematical and Quantitative Methods - - Econometric Modeling - - - General

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