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Emissions-GDP Relationship in Times of Growth and Decline

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  • Baran Doda
Abstract
This empirical paper focuses on the relationship between changes in GDP and CO2 emissions as a country�s economy moves through periods of growth and decline. Using a comprehensive panel, I document substantial heterogeneity in the relationship across countries. Specifically, countries can be classi?ed into one of the following three groups. Group D (for decline) includes countries where the emissions growth rate is more strongly associated with the GDP growth rate in periods of GDP decline than in periods of GDP growth. Group G (for growth) includes countries where the degree of association is stronger in periods of GDPgrowth. Finally, in group S (for symmetrical) it is not possible to reject the hypothesis that the relationship is the same for growth and decline. According to a simple count criterion, approximately a third of the countries in the sample fall into each group. Notably, China and the US, currently the world�s largest emitters by a substantial margin, are in group D. These results have potentially important consequences for long-term emissions projections. They also suggest that macroeconomic stabilization policies may have adverse emissions consequences by limiting the cleansing e?ect of periods in which GDP declines.

Suggested Citation

  • Baran Doda, 2013. "Emissions-GDP Relationship in Times of Growth and Decline," GRI Working Papers 116, Grantham Research Institute on Climate Change and the Environment.
  • Handle: RePEc:lsg:lsgwps:wp116
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    File URL: http://www.lse.ac.uk/GranthamInstitute/wp-content/uploads/2014/02/WP116-emissions-gdp-growth-and-decline.pdf
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    References listed on IDEAS

    as
    1. Fischer, Carolyn & Springborn, Michael, 2011. "Emissions targets and the real business cycle: Intensity targets versus caps or taxes," Journal of Environmental Economics and Management, Elsevier, vol. 62(3), pages 352-366.
    2. Daniel Hoechle, 2007. "Robust standard errors for panel regressions with cross-sectional dependence," Stata Journal, StataCorp LP, vol. 7(3), pages 281-312, September.
    3. Garth Heutel, 2012. "How Should Environmental Policy Respond to Business Cycles? Optimal Policy under Persistent Productivity Shocks," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 15(2), pages 244-264, April.
    4. Frank Jotzo & Paul J. Burke & Peter J. Wood & Andrew Macintosh & David I. Stern, 2012. "Decomposing the 2010 global carbon dioxide emissions rebound," Nature Climate Change, Nature, vol. 2(4), pages 213-214, April.
    5. Baran Doda, 2012. "Evidence on CO2 emissions and business cycles," GRI Working Papers 78, Grantham Research Institute on Climate Change and the Environment.
    6. Garth Heutel, 2012. "How Should Environmental Policy Respond to Business Cycles? Optimal Policy under Persistent Productivity Shocks," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 15(2), pages 244-264, April.
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    Cited by:

    1. Torben Klarl, 2019. "The response of CO2 emissions to the business cycle: New evidence for the U.S," Bremen Papers on Economics & Innovation 1902, University of Bremen, Faculty of Business Studies and Economics.
    2. Klarl, Torben, 2020. "The response of CO2 emissions to the business cycle: New evidence for the U.S," Energy Economics, Elsevier, vol. 85(C).
    3. Paul J. Burke & Md Shahiduzzaman & David I. Stern, 2015. "Carbon dioxide emissions in the short run: The rate and sources of economic growth matter," CAMA Working Papers 2015-12, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    4. Sheldon, Tamara L., 2017. "Asymmetric effects of the business cycle on carbon dioxide emissions," Energy Economics, Elsevier, vol. 61(C), pages 289-297.

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