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Copenhagen commitments and implications: A comparative analysis of India and China

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  • Vazhayil, Joy P.
  • Balasubramanian, R.
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    Abstract

    Dynamic targets have been long advocated as a participatory tool for developing countries in climate change mitigation. Copenhagen commitments of India and China resume this trend after the unsuccessful attempt of Argentina a decade ago. However, linear intensity targets are prone to 'hot air' problems or non-compliance risks. Intensity targets of India and China are analyzed using their elasticity parameters. The relationship of these parameters to the structural nature of emissions and GDP profiles has been demonstrated and a method of comparing the probability indices of target achievement has been formulated in this paper, showing a lower probability for China compared to India. Similarly, a method of defining stringency factor for linear targets has been suggested and stringency factors evaluated for India (40%) and China (90%), which shows the relative stability of India's targets. This paper evaluates an energy-GDP-emissions index (EYE index) to indicate the extent of coupling/decoupling of economic growth from emissions. The three indices developed in this paper, namely, elasticity parameter, stringency factor and EYE index can be effectively used to analyze the economy-emissions relationships for policy making and target setting.

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    Bibliographic Info

    Article provided by Elsevier in its journal Energy Policy.

    Volume (Year): 38 (2010)
    Issue (Month): 11 (November)
    Pages: 7442-7450

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    Handle: RePEc:eee:enepol:v:38:y:2010:i:11:p:7442-7450

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    Web page: http://www.elsevier.com/locate/enpol

    Related research

    Keywords: Analysis of India and China Intensity targets Stringency factor;

    References

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    1. Auffhammer, Maximilian & Carson, Richard T., 2007. "Forecasting the Path of China's CO2 Emissions Using Province Level Information," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt6d28j8rg, Department of Agricultural & Resource Economics, UC Berkeley.
    2. Donatella Saccone & Valli Vittorio, 2009. "Structural Change and Economic Development in China and India," Department of Economics and Statistics Cognetti de Martiis. Working Papers 200907, University of Turin.
    3. Randall Lutter, 2000. "Developing Countries' Greenhouse Emmissions: Uncertainty and Implications for Participation in the Kyoto Protocol," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4), pages 93-120.
    4. Baksi, Soham & Green, Chris, 2007. "Calculating economy-wide energy intensity decline rate: The role of sectoral output and energy shares," Energy Policy, Elsevier, vol. 35(12), pages 6457-6466, December.
    5. Marschinski, Robert & Lecocq, Franck, 2006. "Do intensity targets control uncertainty better than quotas ? Conditions, calibrations, and caveats," Policy Research Working Paper Series 4033, The World Bank.
    6. Philibert, Cedric, 2000. "How could emissions trading benefit developing countries," Energy Policy, Elsevier, vol. 28(13), pages 947-956, November.
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    Cited by:
    1. Jotzo, Frank, 2010. "Comparing the Copenhagen emissions targets," Research Reports 107577, Australian National University, Environmental Economics Research Hub.
    2. P. Shukla & Subash Dhar, 2011. "Climate agreements and India: aligning options and opportunities on a new track," International Environmental Agreements: Politics, Law and Economics, Springer, vol. 11(3), pages 229-243, September.

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