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Substitutability among undesirable outputs

Author

Listed:
  • Rolf Färe
  • Shawna Grosskopf
  • Carl A. Pasurka
  • William L. Weber

Abstract

In recent years, economists have started to move beyond calculating regulatory effects on a pollutant-by-pollutant basis since their interaction is important. In this study, we take up this issue. To allow for joint production of multiple pollutants and marketable output, we specify our technology using a directional distance function. This allows us to treat pollutants as joint outputs, yet accounts for their ‘undesirability’. We estimate the distance function for a sample of coal-fired electric power plants from 1985 to 1998, which includes the first 4 years of Phase I of the Clean Air Act Amendments of 1990. We focus on the interaction between SO 2 and NO x , as they became more highly regulated and estimate shadow prices of the pollutants and the Morishima elasticity of transformation between two pollutants, NO x and SO 2 , as well as with respect to the desirable output, kilowatt-hours of electricity. As expected, we find that power plants increase NO x emissions as they decrease SO 2 , i.e. they are substitutes.

Suggested Citation

  • Rolf Färe & Shawna Grosskopf & Carl A. Pasurka & William L. Weber, 2012. "Substitutability among undesirable outputs," Applied Economics, Taylor & Francis Journals, vol. 44(1), pages 39-47, January.
  • Handle: RePEc:taf:applec:44:y:2012:i:1:p:39-47
    DOI: 10.1080/00036846.2010.498368
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    Citations

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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. repec:eee:resene:v:52:y:2018:i:c:p:124-136 is not listed on IDEAS
    3. Ke Wang & Yujiao Xian & Chia-Yen Lee & Yi-Ming Wei & Zhimin Huang, 2017. "On selecting directions for directional distance functions in a non-parametric framework: A review," CEEP-BIT Working Papers 99, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    4. Färe, Rolf & Grosskopf, Shawna & Pasurka, Carl A., 2014. "Potential gains from trading bad outputs: The case of U.S. electric power plants," Resource and Energy Economics, Elsevier, vol. 36(1), pages 99-112.
    5. repec:eee:energy:v:147:y:2018:i:c:p:297-307 is not listed on IDEAS
    6. Wei, Chu & Löschel, Andreas & Liu, Bing, 2013. "An empirical analysis of the CO2 shadow price in Chinese thermal power enterprises," Energy Economics, Elsevier, vol. 40(C), pages 22-31.
    7. Hampf, Benjamin & Rødseth, Kenneth Løvold, 2015. "Carbon dioxide emission standards for U.S. power plants: An efficiency analysis perspective," Energy Economics, Elsevier, vol. 50(C), pages 140-153.
    8. Rødseth, Kenneth Løvold, 2013. "Capturing the least costly way of reducing pollution: A shadow price approach," Ecological Economics, Elsevier, vol. 92(C), pages 16-24.
    9. Lee, Chia-Yen & Zhou, Peng, 2015. "Directional shadow price estimation of CO2, SO2 and NOx in the United States coal power industry 1990–2010," Energy Economics, Elsevier, vol. 51(C), pages 493-502.
    10. Silva, Felipe & Fulginiti, Lilyan & Perrin, Richard, 2016. "Trade-off between amazon forest and agriculture in Brazil – shadow price and their substitution estimative for 2006," 2016 Annual Meeting, July 31-August 2, 2016, Boston, Massachusetts 235800, Agricultural and Applied Economics Association.
    11. Bonilla, Jorge & Coria, Jessica & Sterner, Thomas, 2012. "Synergies and Trade-offs between Climate and Local Air Pollution: Policies in Sweden," Working Papers in Economics 529, University of Gothenburg, Department of Economics.
    12. Sueyoshi, Toshiyuki & Goto, Mika, 2012. "Returns to Scale, Damages to Scale, Marginal Rate of Transformation and Rate of Substitution in DEA Environmental Assessment," Energy Economics, Elsevier, vol. 34(4), pages 905-917.
    13. Silva, Felipe & Fulginiti, Lilyan E. & Perrin, Richard K., 2016. "Did technical change in agricultural production decrease the emission of pollutants on the Amazon Forest during 1990-2009?," 2016 Annual Meeting, February 6-9, 2016, San Antonio, Texas 230092, Southern Agricultural Economics Association.
    14. Njuki, Eric & Bravo-Ureta, Boris, 2014. "A Bayesian Approach to Analyzing the Economic Costs of Environmental Regulation in U.S. Dairy Farming," Working Papers 33, University of Connecticut, Department of Agricultural and Resource Economics, Charles J. Zwick Center for Food and Resource Policy.
    15. Mekaroonreung, Maethee & Johnson, Andrew L., 2014. "A nonparametric method to estimate a technical change effect on marginal abatement costs of U.S. coal power plants," Energy Economics, Elsevier, vol. 46(C), pages 45-55.
    16. Zhou, P. & Zhou, X. & Fan, L.W., 2014. "On estimating shadow prices of undesirable outputs with efficiency models: A literature review," Applied Energy, Elsevier, vol. 130(C), pages 799-806.
    17. Färe, Rolf & Grosskopf, Shawna & Pasurka, Carl, 2016. "Technical change and pollution abatement costs," European Journal of Operational Research, Elsevier, vol. 248(2), pages 715-724.
    18. repec:eee:jeeman:v:87:y:2018:i:c:p:52-71 is not listed on IDEAS
    19. Zhou, Yishu & Huang, Ling, 2016. "Have U.S. power plants become less technically efficient? The impact of carbon emission regulation," Energy Economics, Elsevier, vol. 58(C), pages 105-115.

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