IDEAS home Printed from https://ideas.repec.org/p/rim/rimwps/48_13.html
   My bibliography  Save this paper

On the Stationarity of per Capita Carbon Dioxide Emissions over a Century

Author

Listed:
  • Maria Christidou

    (University of Macedonia, Greece)

  • Theodore Panagiotidis

    (University of Macedonia, Greece)

  • Abhijit Sharma

    (School of Management, University of Bradford, UK)

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 find strong evidence that the per capita carbon dioxide emissions over the last one hundred and fifty years are stationary. Our nonlinear specification captures the dynamics of the emissions time series data more effectively 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," Working Paper series 48_13, Rimini Centre for Economic Analysis.
  • Handle: RePEc:rim:rimwps:48_13
    as

    Download full text from publisher

    File URL: http://www.rcea.org/RePEc/pdf/wp48_13.pdf
    Download Restriction: no

    Other versions of this item:

    References listed on IDEAS

    as
    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," Review of Economic Studies, Oxford University Press, 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. 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.
    15. 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.
    16. Hadri, Kaddour & Kurozumi, Eiji, 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.
    17. 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.
    18. 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.
    19. 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.
    20. 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.
    21. Dinda, Soumyananda & Coondoo, Dipankor, 2006. "Income and emission: A panel data-based cointegration analysis," Ecological Economics, Elsevier, vol. 57(2), pages 167-181, May.
    22. 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.
    23. Aslanidis, Nektarios & Xepapadeas, Anastasios, 2006. "Smooth transition pollution-income paths," Ecological Economics, Elsevier, vol. 57(2), pages 182-189, May.
    24. 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.
    25. 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.
    26. 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.
    27. 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.
    28. 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.
    29. 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.
    30. 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.
    31. 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.
    32. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. repec:rrs:journl:v:11:y:2017:i:1:p:18-35 is not listed on IDEAS
    2. repec:kap:enreec:v:67:y:2017:i:4:d:10.1007_s10640-016-0009-3 is not listed on IDEAS
    3. repec:eee:rensus:v:75:y:2017:i:c:p:86-97 is not listed on IDEAS
    4. repec:bpj:sndecm:v:22:y:2018:i:1:p:29:n:2 is not listed on IDEAS
    5. repec:eee:eneeco:v:63:y:2017:i:c:p:365-372 is not listed on IDEAS
    6. Harvey David I. & Leybourne Stephen J. & Whitehouse Emily J., 2018. "Testing for a unit root against ESTAR stationarity," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 22(1), pages 1-29, February.
    7. Carlos Barros & Luis Gil-Alana & Fernando Perez de Gracia, 2016. "Stationarity and Long Range Dependence of Carbon Dioxide Emissions: Evidence for Disaggregated Data," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 63(1), pages 45-56, January.
    8. repec:eee:ecmode:v:68:y:2018:i:c:p:340-355 is not listed on IDEAS
    9. repec:spr:jknowl:v:8:y:2017:i:1:d:10.1007_s13132-015-0265-4 is not listed on IDEAS

    More about this item

    Keywords

    convergence; nonlinear unit roots; panel unit roots; heterogeneous panels; cross-section dependence;

    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

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:rim:rimwps:48_13. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Marco Savioli). General contact details of provider: http://edirc.repec.org/data/rcfeait.html .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.