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How organizational and global factors condition the effects of energy efficiency on CO2 emission rebounds among the world's power plants

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  • Grant, Don
  • Jorgenson, Andrew K.
  • Longhofer, Wesley

Abstract

The United Nations Intergovernmental Panel on Climate Change (IPCC), the International Energy Agency (IEA), and several nations suggest that energy efficiency is an effective strategy for reducing energy consumption and associated greenhouse gas emissions. Skeptics contend that because efficiency lowers the price of energy and energy services, it may actually increase demand for them, causing total emissions to rise. While both sides of this debate have researched the magnitude of these so-called rebound effects among end-use consumers, researchers have paid less attention to the conditions under which direct rebounds cause CO2 emissions to rise among industrial producers. In particular, researchers have yet to explore how organizational and global factors might condition the effects of efficiency on emissions among power plants, the world's most concentrated sources of anthropogenic greenhouse gases. Here we use a unique dataset containing nearly every fossil-fuel power plant in the world to determine whether the impact of efficiency on emissions varies by plants' age, size, and location in global economic and normative systems. Findings reveal that each of these factors has a significant interaction with efficiency and thus shapes environmentally destructive rebound effects.

Suggested Citation

  • Grant, Don & Jorgenson, Andrew K. & Longhofer, Wesley, 2016. "How organizational and global factors condition the effects of energy efficiency on CO2 emission rebounds among the world's power plants," Energy Policy, Elsevier, vol. 94(C), pages 89-93.
    • Handle: RePEc:eee:enepol:v:94:y:2016:i:c:p:89-93
    DOI: 10.1016/j.enpol.2016.03.053
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    References listed on IDEAS

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    1. Don Grant & Andrew Jorgenson & Wesley Longhofer, 2013. "Targeting electricity’s extreme polluters to reduce energy-related CO 2 emissions," Journal of Environmental Studies and Sciences, Springer;Association of Environmental Studies and Sciences, vol. 3(4), pages 376-380, December.
    2. David Wheeler & Kevin Ummel, 2008. "Calculating CARMA: Global Estimation of CO2 Emissions from the Power Sector," Working Papers 145, Center for Global Development.
    3. A. Greening, Lorna & Greene, David L. & Difiglio, Carmen, 2000. "Energy efficiency and consumption -- the rebound effect -- a survey," Energy Policy, Elsevier, vol. 28(6-7), pages 389-401, June.
    4. Sorrell, Steve, 2009. "Jevons' Paradox revisited: The evidence for backfire from improved energy efficiency," Energy Policy, Elsevier, vol. 37(4), pages 1456-1469, April.
    5. Grant, Don & Running, Katrina & Bergstrand, Kelly & York, Richard, 2014. "A sustainable “building block”?: The paradoxical effects of thermal efficiency on U.S. power plants’ CO2 emissions," Energy Policy, Elsevier, vol. 75(C), pages 398-402.
    6. Don Grant & Kelly Bergstrand & Katrina Running, 2014. "Effectiveness of US state policies in reducing CO2 emissions from power plants," Nature Climate Change, Nature, vol. 4(11), pages 977-982, November.
    7. Dana R. Fisher, 2010. "COP-15 in Copenhagen: How the Merging of Movements Left Civil Society Out in the Cold," Global Environmental Politics, MIT Press, vol. 10(2), pages 11-17, May.
    8. J. Daniel Khazzoom, 1980. "Economic Implications of Mandated Efficiency in Standards for Household Appliances," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4), pages 21-40.
    9. Eugene A. Rosa & Thomas Dietz, 2012. "Human drivers of national greenhouse-gas emissions," Nature Climate Change, Nature, vol. 2(8), pages 581-586, August.
    10. Berkhout, Peter H. G. & Muskens, Jos C. & W. Velthuijsen, Jan, 2000. "Defining the rebound effect," Energy Policy, Elsevier, vol. 28(6-7), pages 425-432, June.
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