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Stochastic and club convergence of sectoral CO2 emissions in the European Union

Author

Listed:
  • Rafael Morales-Lage

    (Department of Economics, Universitat Jaume I, Castellón, Spain)

  • Aurelia Bengochea-Morancho

    (Department of Economics, Universitat Jaume I, Castellón, Spain)

  • Mariam Camarero

    (Department of Economics, Universitat Jaume I, Castellón, Spain)

  • Inmaculada Martínez-Zarzoso

    (Dept of Economics and Center for Statistics, Georg-August Universitaet Goettingen, Göttingen, Germany & Dept of Economics, Universitat Jaume I, Castellón, Spain)

Abstract

Understanding the evolution of sectoral CO2 emissions of all EU countries in the past decades should be useful for political authorities when designing future environmental policies, as greater efforts must be done both in sectors with higher potential for reduction in order to reach the EU reduction targets. This paper focuses on the process of convergence in sectoral per capita CO2 emissions to ascertain whether the measures taken within the EU to meet its commitments have had the desirable impact. We apply time series techniques to CO2 data for the 28 member countries over the period 1960-2012 to test whether stochastic and club convergence has occurred. We only find evidence of weak club convergence as some EU countries are increasing their emissions whereas others are in a process of controlling them significantly but, at the same time, we observe major differences among the sectors and subsectors considered.

Suggested Citation

  • 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).
  • Handle: RePEc:jau:wpaper:2017/01
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    References listed on IDEAS

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    Cited by:

    1. Acar, Sevil & Yeldan, A. Erinç, 2018. "Investigating patterns of carbon convergence in an uneven economy: The case of Turkey," Structural Change and Economic Dynamics, Elsevier, vol. 46(C), pages 96-106.

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    More about this item

    Keywords

    Convergence; CO2 emissions; European Union;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence
    • Q53 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Air Pollution; Water Pollution; Noise; Hazardous Waste; Solid Waste; Recycling

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