IDEAS home Printed from https://ideas.repec.org/p/got/iaidps/180.html
   My bibliography  Save this paper

A General Framework for Estimating CO2 Emissions

Author

Abstract

This paper proposes a new analytical framework with which to analyze the determinants of global CO2 emissions. It contributes to the existing literature by examining the determinants of CO2 emissions using a flexible functional form (transcendental logarithmic model), taking into account the presence of dynamic effects and allowing for heterogeneity in the sample of countries. The sample covers 121 countries and the period analyzed extends from 1975 through 2003. Two main results emerge. First, a static specification is rejected against a dynamic model. Second, the data also reject a general specification for all countries; hence slopeheterogeneity in the estimated coefficients has to be modeled. Conversely, the STIRPAT model is generally accepted for high-income countries, whereas for developing countries several interaction terms also play a role in explaining CO2 emissions.

Suggested Citation

  • Inmaculada Martínez-Zarzoso, 2009. "A General Framework for Estimating CO2 Emissions," Ibero America Institute for Econ. Research (IAI) Discussion Papers 180, Ibero-America Institute for Economic Research.
  • Handle: RePEc:got:iaidps:180
    as

    Download full text from publisher

    File URL: http://www2.vwl.wiso.uni-goettingen.de/ibero/working_paper_neu/DB180.pdf
    Download Restriction: no

    References listed on IDEAS

    as
    1. Shi, Anqing, 2003. "The impact of population pressure on global carbon dioxide emissions, 1975-1996: evidence from pooled cross-country data," Ecological Economics, Elsevier, vol. 44(1), pages 29-42, February.
    2. Stern, David I., 2004. "The Rise and Fall of the Environmental Kuznets Curve," World Development, Elsevier, vol. 32(8), pages 1419-1439, August.
    3. Cole, M.A. & Rayner, A.J. & Bates, J.M., 1997. "The environmental Kuznets curve: an empirical analysis," Environment and Development Economics, Cambridge University Press, vol. 2(04), pages 401-416, November.
    4. Mark E Schaffer, 2005. "XTIVREG2: Stata module to perform extended IV/2SLS, GMM and AC/HAC, LIML and k-class regression for panel data models," Statistical Software Components S456501, Boston College Department of Economics, revised 22 Feb 2015.
    5. Bruno, Giovanni S.F., 2005. "Approximating the bias of the LSDV estimator for dynamic unbalanced panel data models," Economics Letters, Elsevier, vol. 87(3), pages 361-366, June.
    6. Frees,Edward W., 2004. "Longitudinal and Panel Data," Cambridge Books, Cambridge University Press, number 9780521828284, May.
    7. Auffhammer, Maximilian & Carson, Richard T., 2008. "Forecasting the path of China's CO2 emissions using province-level information," Journal of Environmental Economics and Management, Elsevier, vol. 55(3), pages 229-247, May.
    8. Bun, Maurice J. G. & Kiviet, Jan F., 2003. "On the diminishing returns of higher-order terms in asymptotic expansions of bias," Economics Letters, Elsevier, vol. 79(2), pages 145-152, May.
    9. York, Richard & Rosa, Eugene A. & Dietz, Thomas, 2003. "STIRPAT, IPAT and ImPACT: analytic tools for unpacking the driving forces of environmental impacts," Ecological Economics, Elsevier, vol. 46(3), pages 351-365, October.
    10. Stern , David I., 1998. "Progress on the environmental Kuznets curve?," Environment and Development Economics, Cambridge University Press, vol. 3(02), pages 173-196, May.
    11. Kajal Lahiri, 2005. "Analysis of Panel Data," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(4), pages 1093-1095.
    12. Pesaran, M.H., 2004. "‘General Diagnostic Tests for Cross Section Dependence in Panels’," Cambridge Working Papers in Economics 0435, Faculty of Economics, University of Cambridge.
    13. Agras, Jean & Chapman, Duane, 1999. "A dynamic approach to the Environmental Kuznets Curve hypothesis," Ecological Economics, Elsevier, vol. 28(2), pages 267-277, February.
    14. Inmaculada Martínez-Zarzoso & Aurelia Bengochea-Morancho & Rafael Morales-Lage, 2007. "The impact of population on CO 2 emissions: evidence from European countries," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 38(4), pages 497-512, December.
    15. Vasilis Sarafidis & Donald Robertson, 2009. "On the impact of error cross-sectional dependence in short dynamic panel estimation," Econometrics Journal, Royal Economic Society, vol. 12(1), pages 62-81, March.
    16. Lantz, V. & Feng, Q., 2006. "Assessing income, population, and technology impacts on CO2 emissions in Canada: Where's the EKC?," Ecological Economics, Elsevier, vol. 57(2), pages 229-238, May.
    17. James Cramer, 1998. "Population growth and air quality in California," Demography, Springer;Population Association of America (PAA), vol. 35(1), pages 45-56, February.
    18. Galeotti, Marzio & Lanza, Alessandro, 1999. "Richer and cleaner? A study on carbon dioxide emissions in developing countries," Energy Policy, Elsevier, vol. 27(10), pages 565-573, October.
    19. Annegrete Bruvoll & Hege Medin, 2003. "Factors Behind the Environmental Kuznets Curve. A Decomposition of the Changes in Air Pollution," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 24(1), pages 27-48, January.
    20. Frees, Edward W., 1995. "Assessing cross-sectional correlation in panel data," Journal of Econometrics, Elsevier, vol. 69(2), pages 393-414, October.
    21. Kiviet, Jan F., 1995. "On bias, inconsistency, and efficiency of various estimators in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 68(1), pages 53-78, July.
    22. M. Hashem Pesaran, 2006. "Estimation and Inference in Large Heterogeneous Panels with a Multifactor Error Structure," Econometrica, Econometric Society, vol. 74(4), pages 967-1012, July.
    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. Frees,Edward W., 2004. "Longitudinal and Panel Data," Cambridge Books, Cambridge University Press, number 9780521535380, May.
    25. Matthew A. Cole & Eric Neumayer, 2003. "Examining the Impact of Demographic Factors On Air Pollution," Labor and Demography 0312005, EconWPA, revised 13 May 2004.
    26. Hamilton, Clive & Turton, Hal, 2002. "Determinants of emissions growth in OECD countries," Energy Policy, Elsevier, vol. 30(1), pages 63-71, January.
    27. Roger Perman & David I. Stern, 2003. "Evidence from panel unit root and cointegration tests that the Environmental Kuznets Curve does not exist," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 47(3), pages 325-347, September.
    28. Stavins, Robert N & Jaffe, Adam B, 1990. "Unintended Impacts of Public Investments on Private Decisions: The Depletion of Forested Wetlands," American Economic Review, American Economic Association, vol. 80(3), pages 337-352, June.
    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. Marin, Giovanni & Mazzanti, Massimiliano, 2009. "Emissions Trends, Labour Productivity Dynamics and Time-Related Events - Sector Heterogeneous Analyses of Decoupling/Recoupling on a 1990-2006 NAMEA," MPRA Paper 20087, University Library of Munich, Germany.
    2. Giovanni Marin & Massimiliano Mazzanti, 2013. "The evolution of environmental and labor productivity dynamics," Journal of Evolutionary Economics, Springer, vol. 23(2), pages 357-399, April.

    More about this item

    Keywords

    CO2 emissions; developing countries; panel data; population growth; urbanization;

    JEL classification:

    • Q25 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Water
    • Q4 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy
    • 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:got:iaidps:180. 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: (Sabine Jaep). General contact details of provider: http://edirc.repec.org/data/ibgoede.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.