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Energy from waste: generation potential and mitigation opportunity

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  • Francesco Bosello
  • Lorenza Campagnolo
  • Fabio Eboli
  • Ramiro Parrado

Abstract

The present research proposes a macroeconomic assessment of the role of waste incineration with energy recovery (WtE) and controlled landfill biogas to electricity generation and their potential contribution to a CO 2 emission reduction policy, within a recursive-dynamic computable general equilibrium model. From the modeling viewpoint, introducing these energy sectors in such a framework required both the extension of the GTAP7 database and the improvement of the ICES production nested function. We focus our analysis on Italy as a signatory of the GHG reduction commitment of 20 % by 2020 with respect to 1990 levels proposed by the European Community; the rest of the world is represented by 21 geo-political countries/regions. It is shown that albeit in the near future WtE and landfill biogas will continue to represent a limited share of energy inputs in electricity sector (in Italy, around 2 % for WtE and 0.6 % for biogas in 2020), and they could play a role in a mitigation policy context. The GDP cost of the EU emission reduction target for the Italian economy can indeed be reduced by 1 % when the two energy generating options are available. In absolute terms, this translates into an annuitized value of 87–122 million €. Copyright Springer 2012

Suggested Citation

  • Francesco Bosello & Lorenza Campagnolo & Fabio Eboli & Ramiro Parrado, 2012. "Energy from waste: generation potential and mitigation opportunity," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 14(4), pages 403-420, October.
  • Handle: RePEc:spr:envpol:v:14:y:2012:i:4:p:403-420
    DOI: 10.1007/s10018-012-0043-5
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    References listed on IDEAS

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    1. Hertel, Thomas, 1997. "Global Trade Analysis: Modeling and applications," GTAP Books, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University, number 7685, December.
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    4. Eboli, Fabio & Parrado, Ramiro & Roson, Roberto, 2010. "Climate-change feedback on economic growth: explorations with a dynamic general equilibrium model," Environment and Development Economics, Cambridge University Press, vol. 15(5), pages 515-533, October.
    5. Marian Leimbach, Nico Bauer, Lavinia Baumstark, Michael Luken and Ottmar Edenhofer, 2010. "Technological Change and International Trade - Insights from REMIND-R," The Energy Journal, International Association for Energy Economics, vol. 0(Special I).
    6. Burniaux, Jean-Marc & Truong Truong, 2002. "GTAP-E: An Energy-Environmental Version of the GTAP Model," GTAP Technical Papers 923, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University.
    7. Burniaux, Jean-March & Truong, Truong P., 2002. "Gtap-E: An Energy-Environmental Version Of The Gtap Model," Technical Papers 28705, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    8. Sue Wing, Ian, 2008. "The synthesis of bottom-up and top-down approaches to climate policy modeling: Electric power technology detail in a social accounting framework," Energy Economics, Elsevier, vol. 30(2), pages 547-573, March.
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    Cited by:

    1. Ozga Patrycja, 2018. "Obtaining Electric and Thermal Energy from Processed Municipal Waste and the State of Waste Management in Poland in 2015," Economic and Regional Studies / Studia Ekonomiczne i Regionalne, Sciendo, vol. 11(2), pages 34-44, June.
    2. Alessio D’Amato & Shunsuke Managi & Massimiliano Mazzanti, 2012. "Economics of waste management and disposal: decoupling, policy enforcement and spatial factors," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 14(4), pages 323-325, October.

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    More about this item

    Keywords

    Climate change; Mitigation; Energy from waste; C68; E27; Q42; Q43; Q54;
    All these keywords.

    JEL classification:

    • C68 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computable General Equilibrium Models
    • E27 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Forecasting and Simulation: Models and Applications
    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming

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