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On the stationarity of per capita carbon dioxide emissions over a century

Author

Listed:
  • Maria Christidou

    (University of Macedonia)

  • Theodore Panagiotidis

    (University of Macedonia)

  • Abhijit Sharma

    (University of Bradford School of Management)

Abstract

This paper examines the stationarity of carbon dioxide (CO2) emissions per capita for a set of 36 countries covering the period 1870-2006. We employ recently developed unit root and stationarity tests that allow for the mean reverting process to be nonlinear and take into account cross sectional dependence. By grouping countries according to their geographical proximity the importance of cross sectional dependence in panel unit root and stationarity tests is revealed. Using a recently developed nonlinear panel unit root test, we nd strong evidence that the per capita carbon dioxide emissions over the last one hundred and fty years are stationary. Our nonlinear speci cation captures the dynamics of the emissions time series data more e ectively and we obtain evidence supporting stationarity for all country groups under study.

Suggested Citation

  • Maria Christidou & Theodore Panagiotidis & Abhijit Sharma, 2013. "On the stationarity of per capita carbon dioxide emissions over a century," Koç University-TUSIAD Economic Research Forum Working Papers 1317, Koc University-TUSIAD Economic Research Forum.
    • Handle: RePEc:koc:wpaper:1317
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    References listed on IDEAS

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    More about this item

    Keywords

    convergence; nonlinear unit roots; panel unit roots; heterogeneous panels; cross-section dependence.;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • Q28 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Government Policy
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming

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