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Data Envelopment Analysis of different climate policy scenarios

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  • Bosetti, Valentina
  • Buchner, Barbara

Abstract

Recent developments in the political, scientific and economic debate on climate change suggest that it is of critical importance to develop new approaches able to compare policy scenarios for their environmental effectiveness, their distributive effects, their enforceability, their costs and many other dimensions. This paper discusses a quantitative methodology to assess the relative performance of different climate policy scenarios when accounting for their long-term economic, social and environmental impacts. The proposed procedure is based on Data Envelopment Analysis, here employed in evaluating the relative efficiency of eleven global climate policy scenarios. The methodology provides a promising comparison framework; it can be seen as a way of setting some basic guidelines to frame further debates and negotiations and can be flexibly adopted and modified by decision makers to obtain relevant information for policy design. Three major findings emerge from this analysis: (i) stringent climate policies can outperform less ambitious proposals if all sustainability dimensions are taken into account; (ii) a carefully chosen burden-sharing rule is able to bring together climate stabilisation and equity considerations; and (iii) the most inefficient strategy results from the failure to negotiate a post-2012 global climate agreement.

Suggested Citation

  • Bosetti, Valentina & Buchner, Barbara, 2009. "Data Envelopment Analysis of different climate policy scenarios," Ecological Economics, Elsevier, vol. 68(5), pages 1340-1354, March.
  • Handle: RePEc:eee:ecolec:v:68:y:2009:i:5:p:1340-1354
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    References listed on IDEAS

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    Cited by:

    1. A. Ruijs & M. Kortelainen & A. Wossink & C.J.E. Schulp & R. Alkemade & Paul Madden, 2012. "Opportunity cost estimation of ecosystem services," The School of Economics Discussion Paper Series 1222, Economics, The University of Manchester.
    2. Assaf, A. George & Barros, Carlos Pestana & Managi, Shunsuke, 2011. "Cost efficiency of Japanese steam power generation companies: A Bayesian comparison of random and fixed frontier models," Applied Energy, Elsevier, vol. 88(4), pages 1441-1446, April.
    3. Anderson, Blake & M'Gonigle, Michael, 2012. "Does ecological economics have a future?," Ecological Economics, Elsevier, vol. 84(C), pages 37-48.
    4. Michael Howes & Liana Wortley & Ruth Potts & Aysin Dedekorkut-Howes & Silvia Serrao-Neumann & Julie Davidson & Timothy Smith & Patrick Nunn, 2017. "Environmental Sustainability: A Case of Policy Implementation Failure?," Sustainability, MDPI, Open Access Journal, vol. 9(2), pages 1-17, January.
    5. Zhou, P. & Wang, M., 2016. "Carbon dioxide emissions allocation: A review," Ecological Economics, Elsevier, vol. 125(C), pages 47-59.
    6. Mallikarjun, Sreekanth & Lewis, Herbert F. & Sexton, Thomas R., 2014. "Operational performance of U.S. public rail transit and implications for public policy," Socio-Economic Planning Sciences, Elsevier, vol. 48(1), pages 74-88.
    7. repec:eee:trapol:v:60:y:2017:i:c:p:131-142 is not listed on IDEAS
    8. Kuosmanen, Timo & Kuosmanen, Natalia, 2009. "How not to measure sustainable value (and how one might)," Ecological Economics, Elsevier, vol. 69(2), pages 235-243, December.
    9. Steve Suranovic, 2011. "Addicted to Oil: Implications for Climate Change Policy," Working Papers 2011-22, The George Washington University, Institute for International Economic Policy.
    10. da Silva Freitas, Lucio Flavio & de Santana Ribeiro, Luiz Carlos & de Souza, Kênia Barreiro & Hewings, Geoffrey John Dennis, 2016. "The distributional effects of emissions taxation in Brazil and their implications for climate policy," Energy Economics, Elsevier, vol. 59(C), pages 37-44.
    11. Salazar-Ordóñez, Melania & Pérez-Hernández, Pedro P. & Martín-Lozano, José M., 2013. "Sugar beet for bioethanol production: An approach based on environmental agricultural outputs," Energy Policy, Elsevier, vol. 55(C), pages 662-668.
    12. M. Lábaj & M. Luptáčik & E. Nežinský, 2014. "Data envelopment analysis for measuring economic growth in terms of welfare beyond GDP," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 41(3), pages 407-424, August.
    13. repec:eee:ejores:v:264:y:2018:i:1:p:1-16 is not listed on IDEAS
    14. Martin Lábaj & Mikuláš Luptáèik & Eduard Nežinský, 2013. "Data Envelopment Analysis for Measuring of Economic Growth in Terms of Welfare Beyond GDP," Department of Economic Policy Working Paper Series 002, Department of Economic Policy, Faculty of National Economy, University of Economics in Bratislava.

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