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Modelling energy and non-energy substitution: A brief survey of elasticities

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  • Frondel, Manuel

Abstract

Estimating the degree of substitution between energy and non-energy inputs is the key for any evaluation of environmental and energy policies. Yet, given the variety of substitution elasticities, the central question arises as to which measure would be most appropriate. Apparently, Allen's elasticities of substitution have been the most-used measures in applied production analysis. In line with Frondel (2004), this paper argues that cross-price elasticities are preferable for many practical purposes. This conclusion is based on a survey of classical substitution measures, such as those from Allen, Morishima, and McFadden. The survey highlights the fact that cross-price elasticities are their essential ingredients.

Suggested Citation

  • Frondel, Manuel, 2011. "Modelling energy and non-energy substitution: A brief survey of elasticities," Energy Policy, Elsevier, vol. 39(8), pages 4601-4604, August.
  • Handle: RePEc:eee:enepol:v:39:y:2011:i:8:p:4601-4604
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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. Adetutu, Morakinyo O. & Glass, Anthony J. & Weyman-Jones, Thomas G., 2016. "Decomposing energy demand across BRIIC countries," Energy Economics, Elsevier, vol. 54(C), pages 396-404.
    3. Laura Spierdijk & Sherrill Shaffer & Tim Considine, 2016. "Adapting to changing input prices in response to the crisis: The case of US commercial banks," CAMA Working Papers 2016-15, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    4. Zha, Donglan & Ding, Ning, 2014. "Elasticities of substitution between energy and non-energy inputs in China power sector," Economic Modelling, Elsevier, vol. 38(C), pages 564-571.
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    7. Valeria Costantini & Francesco Crespi & Elena Paglialunga, 2018. "Capital-energy substitutability in manufacturing sectors: methodological and policy implications," Departmental Working Papers of Economics - University 'Roma Tre' 0234, Department of Economics - University Roma Tre.
    8. repec:eee:energy:v:129:y:2017:i:c:p:246-254 is not listed on IDEAS
    9. Valeria Costantini & Francesco Crespi & Elena Paglialunga, 2017. "The Employment Impact Of Private And Public Actions For Energy Efficiency: Evidence From European Industries," Departmental Working Papers of Economics - University 'Roma Tre' 0227, Department of Economics - University Roma Tre.
    10. Zha, DongLan & Zhou, DeQun & Ding, Ning, 2012. "The determinants of aggregated electricity intensity in China," Applied Energy, Elsevier, vol. 97(C), pages 150-156.
    11. Lin, Boqiang & Ahmad, Izhar, 2016. "Energy substitution effect on transport sector of Pakistan based on trans-log production function," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 1182-1193.
    12. Steve Sorrell, 2014. "Energy Substitution, Technical Change and Rebound Effects," Energies, MDPI, Open Access Journal, vol. 7(5), pages 1-24, April.
    13. Bardazzi, Rossella & Oropallo, Filippo & Pazienza, Maria Grazia, 2015. "Do manufacturing firms react to energy prices? Evidence from Italy," Energy Economics, Elsevier, vol. 49(C), pages 168-181.
    14. Lin, Boqiang & Long, Houyin, 2016. "Input substitution effect in China׳s chemical industry: Evidences and policy implications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 1617-1625.
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