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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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    1. Peter C. B. Phillips & Donggyu Sul, 2007. "Transition Modeling and Econometric Convergence Tests," Econometrica, Econometric Society, vol. 75(6), pages 1771-1855, November.
    2. Lee, Chien-Chiang & Lee, Jun-De, 2009. "Income and CO2 emissions: Evidence from panel unit root and cointegration tests," Energy Policy, Elsevier, vol. 37(2), pages 413-423, February.
    3. Wagner, Martin, 2008. "The carbon Kuznets curve: A cloudy picture emitted by bad econometrics?," Resource and Energy Economics, Elsevier, vol. 30(3), pages 388-408, August.
    4. Mark Strazicich & John List, 2003. "Are CO 2 Emission Levels Converging Among Industrial Countries?," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 24(3), pages 263-271, March.
    5. Hiroki Iwata & Keisuke Okada & Sovannroeun Samreth, 2012. "Empirical study on the determinants of CO 2 emissions: evidence from OECD countries," Applied Economics, Taylor & Francis Journals, vol. 44(27), pages 3513-3519, September.
    6. Kapetanios, George & Shin, Yongcheol & Snell, Andy, 2003. "Testing for a unit root in the nonlinear STAR framework," Journal of Econometrics, Elsevier, vol. 112(2), pages 359-379, February.
    7. Kaddour Hadri, 2000. "Testing for stationarity in heterogeneous panel data," Econometrics Journal, Royal Economic Society, vol. 3(2), pages 148-161.
    8. Kwiatkowski, Denis & Phillips, Peter C. B. & Schmidt, Peter & Shin, Yongcheol, 1992. "Testing the null hypothesis of stationarity against the alternative of a unit root : How sure are we that economic time series have a unit root?," Journal of Econometrics, Elsevier, vol. 54(1-3), pages 159-178.
    9. Romero-Ávila, Diego, 2008. "Convergence in carbon dioxide emissions among industrialised countries revisited," Energy Economics, Elsevier, vol. 30(5), pages 2265-2282, September.
    10. M. Hashem Pesaran, 2007. "A simple panel unit root test in the presence of cross-section dependence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(2), pages 265-312.
    11. Sollis, Robert, 2009. "A simple unit root test against asymmetric STAR nonlinearity with an application to real exchange rates in Nordic countries," Economic Modelling, Elsevier, vol. 26(1), pages 118-125, January.
    12. T. S. Breusch & A. R. Pagan, 1980. "The Lagrange Multiplier Test and its Applications to Model Specification in Econometrics," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 47(1), pages 239-253.
    13. Lee, Chien-Chiang & Chang, Chun-Ping, 2009. "Stochastic convergence of per capita carbon dioxide emissions and multiple structural breaks in OECD countries," Economic Modelling, Elsevier, vol. 26(6), pages 1375-1381, November.
    14. 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.
    15. Chong, Terence Tai-Leung & Hinich, Melvin J. & Liew, Venus Khim-Sen & Lim, Kian-Ping, 2008. "Time series test of nonlinear convergence and transitional dynamics," Economics Letters, Elsevier, vol. 100(3), pages 337-339, September.
    16. Myriam Nourry, 2009. "Re-Examining the Empirical Evidence for Stochastic Convergence of Two Air Pollutants with a Pair-Wise Approach," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 44(4), pages 555-570, December.
    17. Hadri, Kaddour & Kurozumi, Eiji & 黒住, 英司, 2008. "A Simple Panel Stationarity Test in the Presence of Cross-Sectional Dependence," CCES Discussion Paper Series 7, Center for Research on Contemporary Economic Systems, Graduate School of Economics, Hitotsubashi University.
    18. Evans, Paul, 1998. "Using Panel Data to Evaluate Growth Theories," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 39(2), pages 295-306, May.
    19. Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003. "Testing for unit roots in heterogeneous panels," Journal of Econometrics, Elsevier, vol. 115(1), pages 53-74, July.
    20. 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.
    21. 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.
    22. Dinda, Soumyananda & Coondoo, Dipankor, 2006. "Income and emission: A panel data-based cointegration analysis," Ecological Economics, Elsevier, vol. 57(2), pages 167-181, May.
    23. Rafael E. De Hoyos & Vasilis Sarafidis, 2006. "Testing for cross-sectional dependence in panel-data models," Stata Journal, StataCorp LP, vol. 6(4), pages 482-496, December.
    24. Aslanidis, Nektarios & Xepapadeas, Anastasios, 2006. "Smooth transition pollution-income paths," Ecological Economics, Elsevier, vol. 57(2), pages 182-189, May.
    25. Nektarios Aslanidis & Susana Iranzo, 2009. "Environment and development: is there a Kuznets curve for CO2 emissions?," Applied Economics, Taylor & Francis Journals, vol. 41(6), pages 803-810.
    26. Joakim Westerlund & Syed Basher, 2008. "Testing for Convergence in Carbon Dioxide Emissions Using a Century of Panel Data," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 40(1), pages 109-120, May.
    27. Ekaterini Panopoulou & Theologos Pantelidis, 2009. "Club Convergence in Carbon Dioxide Emissions," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 44(1), pages 47-70, September.
    28. Peter C. B. Phillips & Donggyu Sul, 2003. "Dynamic panel estimation and homogeneity testing under cross section dependence *," Econometrics Journal, Royal Economic Society, vol. 6(1), pages 217-259, June.
    29. Nissim Ben David, 2010. "Government policy to reduce pollution emissions within the overlapping generations model," Applied Economics, Taylor & Francis Journals, vol. 42(23), pages 2985-2998.
    30. Josep Lluís Carrion-i-Silvestre & Tomás del Barrio-Castro & Enrique López-Bazo, 2005. "Breaking the panels: An application to the GDP per capita," Econometrics Journal, Royal Economic Society, vol. 8(2), pages 159-175, July.
    31. Romero-Avila, Diego, 2008. "Questioning the empirical basis of the environmental Kuznets curve for CO2: New evidence from a panel stationarity test robust to multiple breaks and cross-dependence," Ecological Economics, Elsevier, vol. 64(3), pages 559-574, January.
    32. Bart Hobijn & Philip Hans Franses & Marius Ooms, 2004. "Generalizations of the KPSS‐test for stationarity," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 58(4), pages 483-502, November.
    33. Bohn, Henning, 2007. "Are stationarity and cointegration restrictions really necessary for the intertemporal budget constraint?," Journal of Monetary Economics, Elsevier, vol. 54(7), pages 1837-1847, October.
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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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