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Positive and normative analysis of the output opportunity costs of GHG emissions reductions: A comparison of the six largest EU economies

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  • Guerra, Ana-Isabel
  • Sancho, Ferran

Abstract

Any policy that aims at reducing GHG emissions by way of modulating the structure of an economy will entail resource reallocation and therefore an implicit economic cost. In this paper, we present a novel answer to this question using positive and normative analyses in such a way that they complement one another. From a positive perspective, we first propose a new look at the analysis of sectors’ distributed GHG forward emissions on the basis of absolute rather than marginal effects. Using this information, we then move to a normative viewpoint using an environmental extended input-output linear programming system and compute lower bounds for the potential gross and net output losses for each production unit when facing emissions reduction targets, such as those proposed by the European Union in their 20-20-20 Directive. The originality of our approach relies on two aspects, namely, the introduction of an Armington assumption to link domestic and imported output and that, differently to previous works, total final demand drives the optimal adjustments to reach emissions cuts while minimizing output losses. Our empirical exercise compares the results of these normative and positive analyses for the six largest economies in the European Union.

Suggested Citation

  • Guerra, Ana-Isabel & Sancho, Ferran, 2018. "Positive and normative analysis of the output opportunity costs of GHG emissions reductions: A comparison of the six largest EU economies," Energy Policy, Elsevier, vol. 122(C), pages 45-62.
  • Handle: RePEc:eee:enepol:v:122:y:2018:i:c:p:45-62
    DOI: 10.1016/j.enpol.2018.07.022
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    References listed on IDEAS

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    1. Cortés-Borda, D. & Ruiz-Hernández, A. & Guillén-Gosálbez, G. & Llop, M. & Guimerà, R. & Sales-Pardo, M., 2015. "Identifying strategies for mitigating the global warming impact of the EU-25 economy using a multi-objective input–output approach," Energy Policy, Elsevier, vol. 77(C), pages 21-30.
    2. Hsu, George J. Y. & Chou, Feng-Ying, 2000. "Integrated planning for mitigating CO2 emissions in Taiwan: a multi-objective programming approach," Energy Policy, Elsevier, vol. 28(8), pages 519-523, July.
    3. Ferran Sancho, 2019. "An Armington–Leontief model," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 8(1), pages 1-10, December.
    4. Fu, Xue & Lahr, Michael & Yaxiong, Zhang & Meng, Bo, 2017. "Actions on climate change, Intended Reducing carbon emissions in China via optimal industry shifts: Toward hi-tech industries, cleaner resources and higher carbon shares in less-develop regions," Energy Policy, Elsevier, vol. 102(C), pages 616-638.
    5. Buchanan, James M, 1969. "External Diseconomies, Corrective Taxes, and Market Structure," American Economic Review, American Economic Association, vol. 59(1), pages 174-177, March.
    6. Hristu-Varsakelis, D. & Karagianni, S. & Pempetzoglou, M. & Sfetsos, A., 2010. "Optimizing production with energy and GHG emission constraints in Greece: An input-output analysis," Energy Policy, Elsevier, vol. 38(3), pages 1566-1577, March.
    7. Alcantara, Vicent & Padilla, Emilio, 2003. ""Key" sectors in final energy consumption: an input-output application to the Spanish case," Energy Policy, Elsevier, vol. 31(15), pages 1673-1678, December.
    8. Erik Dietzenbacher & Bart Los & Robert Stehrer & Marcel Timmer & Gaaitzen de Vries, 2013. "The Construction Of World Input-Output Tables In The Wiod Project," Economic Systems Research, Taylor & Francis Journals, vol. 25(1), pages 71-98, March.
    9. Su, Bin & Ang, B.W., 2013. "Input–output analysis of CO2 emissions embodied in trade: Competitive versus non-competitive imports," Energy Policy, Elsevier, vol. 56(C), pages 83-87.
    10. Munksgaard, Jesper & Pedersen, Klaus Alsted & Wien, Mette, 2000. "Impact of household consumption on CO2 emissions," Energy Economics, Elsevier, vol. 22(4), pages 423-440, August.
    11. Leontief, Wassily, 1970. "Environmental Repercussions and the Economic Structure: An Input-Output Approach," The Review of Economics and Statistics, MIT Press, vol. 52(3), pages 262-271, August.
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    1. Ferran Sancho, 2019. "An Armington–Leontief model," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 8(1), pages 1-10, December.

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    More about this item

    Keywords

    C61; C67; Q52; Armington assumption; Distributed emissions; Minimum output opportunity costs;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • C67 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Input-Output Models
    • Q52 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Pollution Control Adoption and Costs; Distributional Effects; Employment Effects

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