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Piecewise smooth approximation of bottom–up abatement cost curves

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  • Kiuila, O.
  • Rutherford, T.F.

Abstract

Top–down models usually include piecewise-smooth functions to describe marginal cost curves, while bottom–up models use step function curves. When a bottom–up cost curve is available, we can explicitly represent this curve with a top–down model in order to replicate its shape instead of using arbitrary assumptions. We propose several methods to approximate a piecewise function from a step function using constant elasticity of substitution technologies. Specifically, we consider a pollution abatement sector and calibrate the parameters of the abatement function in order to allow proper assessment of the economic effects of an environmental policy. Our methodology can be applied to any sector characterized by decreasing returns to scale technologies. We conclude that the elasticities of substitution need not be estimated only on the basis of historical data, but can be precisely calibrated on the basis of engineering estimates of technology potential.

Suggested Citation

  • Kiuila, O. & Rutherford, T.F., 2013. "Piecewise smooth approximation of bottom–up abatement cost curves," Energy Economics, Elsevier, vol. 40(C), pages 734-742.
  • Handle: RePEc:eee:eneeco:v:40:y:2013:i:c:p:734-742
    DOI: 10.1016/j.eneco.2013.07.016
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    References listed on IDEAS

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    Cited by:

    1. repec:kap:enreec:v:67:y:2017:i:2:d:10.1007_s10640-015-9984-z is not listed on IDEAS
    2. Halkos, George & Tzeremes, Nickolaos & Kourtzidis, Stavros, 2014. "Abating CO2 emissions in the Greek energy and industry sectors," MPRA Paper 60807, University Library of Munich, Germany.

    More about this item

    Keywords

    Elasticity of substitution; Calibration; Top–down modeling; Decreasing returns to scale;

    JEL classification:

    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • Q53 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Air Pollution; Water Pollution; Noise; Hazardous Waste; Solid Waste; Recycling
    • C60 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - General

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