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Between estimates of the environmental Kuznets curve

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  • David I.Stern

    () (Arndt-Corden Division of Economics, Research School of Pacific and Asian Studies, The Australian National University, Australia)

Abstract

A recent paper in the Journal of Environmental Economics and Management points out that time effects are not uniquely identified in reduced-form models, such as the environmental Kuznets curve. This Research Report proposes a solution that assumes the time effect is common to each pair of most similar countries. The between estimator makes no a priori assumption about the nature of the time-effects and is likely to provide consistent estimates of long-run relationships in real-world data situations. This research applies several common panel data estimators to the data set for carbon and sulfur emissions in the OECD collected by Vollebergh et al. and the global sulfur dataset compiled by Stern and Common The between estimates of the sulfur-income elasticity are 0.732 in the OECD and 1.157 in the global data set. The estimated carbon-income elasticity is 1.612.

Suggested Citation

  • David I.Stern, 2009. "Between estimates of the environmental Kuznets curve," Environmental Economics Research Hub Research Reports 0934, Environmental Economics Research Hub, Crawford School of Public Policy, The Australian National University.
  • Handle: RePEc:een:eenhrr:0934
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    File URL: https://crawford.anu.edu.au/research_units/eerh/pdf/EERH_RR34.pdf
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    References listed on IDEAS

    as
    1. 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.
    2. William Hauk & Romain Wacziarg, 2009. "A Monte Carlo study of growth regressions," Journal of Economic Growth, Springer, vol. 14(2), pages 103-147, June.
    3. Stern, David I. & Common, Michael S., 2001. "Is There an Environmental Kuznets Curve for Sulfur?," Journal of Environmental Economics and Management, Elsevier, vol. 41(2), pages 162-178, March.
    4. Jerry Hausman, 2001. "Mismeasured Variables in Econometric Analysis: Problems from the Right and Problems from the Left," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 57-67, Fall.
    5. Stern, David I., 2004. "The Rise and Fall of the Environmental Kuznets Curve," World Development, Elsevier, vol. 32(8), pages 1419-1439, August.
    6. David I. Stern, 2004. "Diffusion of Emissions Abating Technology," Rensselaer Working Papers in Economics 0420, Rensselaer Polytechnic Institute, Department of Economics.
    7. List, John A. & Gallet, Craig A., 1999. "The environmental Kuznets curve: does one size fit all?," Ecological Economics, Elsevier, vol. 31(3), pages 409-423, December.
    8. Baltagi, Badi H & Griffin, James M, 1984. "Short and Long Run Effects in Pooled Models," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 25(3), pages 631-645, October.
    9. Pesaran, M. Hashem & Smith, Ron, 1995. "Estimating long-run relationships from dynamic heterogeneous panels," Journal of Econometrics, Elsevier, vol. 68(1), pages 79-113, July.
    10. Hausman, Jerry, 2015. "Specification tests in econometrics," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 38(2), pages 112-134.
    11. Pirotte, Alain, 1999. "Convergence of the static estimation toward the long run effects of dynamic panel data models," Economics Letters, Elsevier, vol. 63(2), pages 151-158, May.
    12. David I. Stern, 2005. "The Effect of NAFTA on Energy and Environmental Efficiency in Mexico," Rensselaer Working Papers in Economics 0511, Rensselaer Polytechnic Institute, Department of Economics.
    13. 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.
    14. Vollebergh, Herman R.J. & Melenberg, Bertrand & Dijkgraaf, Elbert, 2009. "Identifying reduced-form relations with panel data: The case of pollution and income," Journal of Environmental Economics and Management, Elsevier, vol. 58(1), pages 27-42, July.
    15. Peter Egger & Michael Pfaffermayr, 2005. "Estimating Long and Short Run Effects in Static Panel Models," Econometric Reviews, Taylor & Francis Journals, vol. 23(3), pages 199-214.
    16. Martinez-Zarzoso, Inmaculada & Bengochea-Morancho, Aurelia, 2004. "Pooled mean group estimation of an environmental Kuznets curve for CO2," Economics Letters, Elsevier, vol. 82(1), pages 121-126, January.
    17. Peter Egger & Michael Pfaffermayr, 2002. "Long Run and Short Effects in Static Panel Models," 10th International Conference on Panel Data, Berlin, July 5-6, 2002 B6-2, International Conferences on Panel Data.
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    Blog mentions

    As found by EconAcademics.org, the blog aggregator for Economics research:
    1. Two Paper Submissions this Week
      by David Stern in Stochastic Trend on 2009-12-11 12:56:00
    2. And then a Reject...
      by David Stern in Stochastic Trend on 2009-11-21 04:22:00

    Citations

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    Cited by:

    1. Halkos, George, 2011. "Environment and economic development: determinants of an EKC hypothesis," MPRA Paper 33262, University Library of Munich, Germany.
    2. Lamla, Michael J., 2009. "Long-run determinants of pollution: A robustness analysis," Ecological Economics, Elsevier, vol. 69(1), pages 135-144, November.
    3. George HALKOS, 2012. "Environmental Pollution And Economic Development:Explaining The Existence Of An Environmental Kuznets Curve," Journal of Applied Economic Sciences, Spiru Haret University, Faculty of Financial Management and Accounting Craiova, vol. 6(6(18)/ Su), pages 148-159.
    4. Shahbaz, Muhammad & Shahzad, Syed Jawad Hussain & Kumar, Mantu, 2017. "Is Globalization Detrimental to CO2 Emissions in Japan? New Threshold Analysis," MPRA Paper 82413, University Library of Munich, Germany, revised 03 Nov 2017.

    More about this item

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • Q53 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Air Pollution; Water Pollution; Noise; Hazardous Waste; Solid Waste; Recycling
    • Q56 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environment and Development; Environment and Trade; Sustainability; Environmental Accounts and Accounting; Environmental Equity; Population Growth

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