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Prevention or cure? Optimal abatement mix

Author

Listed:
  • Moriah Bostian

    (Lewis & Clark College
    Umeå University)

  • Rolf Färe

    (Oregon State University
    University of Maryland)

  • Shawna Grosskopf

    (Oregon State University
    Umeå University)

  • Tommy Lundgren

    (Umeå University)

Abstract

We develop a model for pollution abatement that distinguishes between prevention and treatment technologies, in order to better understand the optimal mix of abatement measures. Our model separates the production process into two stages, an initial production and prevention stage and a final treatment (or cure) stage. We allow for reallocation of abatement investment across the production stages, in order to improve overall abatement and production and to better understand the tradeoffs between abatement measures. This framework is relevant in practice for numerous industrial production processes, including manufacturing and energy, which employ different abatement measures at different stages of production. In our application to Sweden’s pulp and paper sector, we find the industry could achieve further gains to both production and emissions reductions, beyond those estimated using more common single-stage technology estimation methods, by reallocating abatement investments. These results could be used to improve firm environmental management decisions, and to better target policy incentives to specific forms of abatement.

Suggested Citation

  • Moriah Bostian & Rolf Färe & Shawna Grosskopf & Tommy Lundgren, 2022. "Prevention or cure? Optimal abatement mix," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 24(4), pages 503-531, October.
  • Handle: RePEc:spr:envpol:v:24:y:2022:i:4:d:10.1007_s10018-021-00335-5
    DOI: 10.1007/s10018-021-00335-5
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    References listed on IDEAS

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    1. Moriah Bostian & Rolf Färe & Shawna Grosskopf & Tommy Lundgren & William L. Weber, 2018. "Time substitution for environmental performance: The case of Swedish manufacturing," Empirical Economics, Springer, vol. 54(1), pages 129-152, February.
    2. Jurate Jaraite & Andrius Kazukauskas & Tommy Lundgren, 2014. "The effects of climate policy on environmental expenditure and investment: evidence from Sweden," Journal of Environmental Economics and Policy, Taylor & Francis Journals, vol. 3(2), pages 148-166, July.
    3. Krüger, Jens & Hampf, Benjamin, 2015. "Optimal Directions for Directional Distance Functions: An Exploration of Potential Reductions of Greenhouse Gases," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 77007, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    4. Suzi Kerr & Richard G. Newell, 2003. "Policy‐Induced Technology Adoption: Evidence from the U.S. Lead Phasedown," Journal of Industrial Economics, Wiley Blackwell, vol. 51(3), pages 317-343, September.
    5. Laura Cáceres & Daniel Méndez & Jairo Fernández & Rafael Marcé, 2018. "From End-of-Pipe to Nature Based Solutions: a Simple Statistical Tool for Maximizing the Ecosystem Services Provided by Reservoirs for Drinking Water Treatment," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(4), pages 1307-1323, March.
    6. Triguero, Angela & Moreno-Mondéjar, Lourdes & Davia, María A., 2014. "The influence of energy prices on adoption of clean technologies and recycling: Evidence from European SMEs," Energy Economics, Elsevier, vol. 46(C), pages 246-257.
    7. Scott E. Atkinson & Mike G. Tsionas, 2018. "Shadow directional distance functions with bads: GMM estimation of optimal directions and efficiencies," Empirical Economics, Springer, vol. 54(1), pages 207-230, February.
    8. Sushama Murty & R. Robert Russell, 2018. "Modeling emission-generating technologies: reconciliation of axiomatic and by-production approaches," Empirical Economics, Springer, vol. 54(1), pages 7-30, February.
    9. Yang, Hongliang & Pollitt, Michael, 2010. "The necessity of distinguishing weak and strong disposability among undesirable outputs in DEA: Environmental performance of Chinese coal-fired power plants," Energy Policy, Elsevier, vol. 38(8), pages 4440-4444, August.
    10. Tim Coelli & Ludwig Lauwers & Guido Huylenbroeck, 2007. "Environmental efficiency measurement and the materials balance condition," Journal of Productivity Analysis, Springer, vol. 28(1), pages 3-12, October.
    11. Jeanneaux, Philippe & Latruffe, Laure, 2016. "Modelling pollution-generating technologies in performance benchmarking: Recent developments, limits and future prospects in the nonparametric frameworkAuthor-Name: Dakpo, K. Hervé," European Journal of Operational Research, Elsevier, vol. 250(2), pages 347-359.
    12. Cinzia Daraio & Léopold Simar, 2016. "Efficiency and benchmarking with directional distances: a data-driven approach," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 67(7), pages 928-944, July.
    13. Hampf, Benjamin, 2014. "Separating Environmental Efficiency into Production and Abatement Efficiency - A Nonparametric Model with Application to U.S. Power Plants," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 69997, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    14. Chiang Kao, 2017. "Network Data Envelopment Analysis," International Series in Operations Research and Management Science, Springer, number 978-3-319-31718-2, December.
    15. Färe, Rolf & Pasurka, Carl & Vardanyan, Michael, 2017. "On endogenizing direction vectors in parametric directional distance function-based models," European Journal of Operational Research, Elsevier, vol. 262(1), pages 361-369.
    16. Katrin Millock & Céline Nauges, 2006. "Ex Post Evaluation of an Earmarked Tax on Air Pollution," Land Economics, University of Wisconsin Press, vol. 82(1), pages 68-84.
    17. Manuel Frondel & Jens Horbach & Klaus Rennings, 2007. "End‐of‐pipe or cleaner production? An empirical comparison of environmental innovation decisions across OECD countries," Business Strategy and the Environment, Wiley Blackwell, vol. 16(8), pages 571-584, December.
    18. Amjadi, Golnaz, 2020. "Environment versus Jobs: An Industry-level Analysis of Sweden," CERE Working Papers 2020:13, CERE - the Center for Environmental and Resource Economics, revised 04 Nov 2020.
    19. Frondel, Manuel & Horbach, Jens & Rennings, Klaus, 2008. "What triggers environmental management and innovation? Empirical evidence for Germany," Ecological Economics, Elsevier, vol. 66(1), pages 153-160, May.
    20. Sarkis, Joseph & Cordeiro, James J., 2001. "An empirical evaluation of environmental efficiencies and firm performance: Pollution prevention versus end-of-pipe practice," European Journal of Operational Research, Elsevier, vol. 135(1), pages 102-113, November.
    21. Rolf Färe & Shawna Grosskopf & Dimitri Margaritis & William Weber, 2012. "Technological change and timing reductions in greenhouse gas emissions," Journal of Productivity Analysis, Springer, vol. 37(3), pages 205-216, June.
    22. Jaffe Adam B. & Stavins Robert N., 1995. "Dynamic Incentives of Environmental Regulations: The Effects of Alternative Policy Instruments on Technology Diffusion," Journal of Environmental Economics and Management, Elsevier, vol. 29(3), pages 43-63, November.
    23. Benjamin Hampf & Jens J. Krüger, 2015. "Optimal Directions for Directional Distance Functions: An Exploration of Potential Reductions of Greenhouse Gases," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 97(3), pages 920-938.
    24. Benjamin Hampf, 2014. "Separating environmental efficiency into production and abatement efficiency: a nonparametric model with application to US power plants," Journal of Productivity Analysis, Springer, vol. 41(3), pages 457-473, June.
    25. Bostian, Moriah & Färe, Rolf & Grosskopf, Shawna & Lundgren, Tommy, 2018. "Network Representations of Pollution-Generating Technologies," International Review of Environmental and Resource Economics, now publishers, vol. 11(3), pages 193-231, August.
    26. Bostian, Moriah & Färe, Rolf & Grosskopf, Shawna & Lundgren, Tommy, 2016. "Environmental investment and firm performance: A network approach," Energy Economics, Elsevier, vol. 57(C), pages 243-255.
    27. Ayres, Robert U & Kneese, Allen V, 1969. "Production , Consumption, and Externalities," American Economic Review, American Economic Association, vol. 59(3), pages 282-297, June.
    28. R. G. Chambers & Y. Chung & R. Färe, 1998. "Profit, Directional Distance Functions, and Nerlovian Efficiency," Journal of Optimization Theory and Applications, Springer, vol. 98(2), pages 351-364, August.
    29. Murty, Sushama & Robert Russell, R. & Levkoff, Steven B., 2012. "On modeling pollution-generating technologies," Journal of Environmental Economics and Management, Elsevier, vol. 64(1), pages 117-135.
    30. Hammar, Henrik & Löfgren, Åsa, 2010. "Explaining adoption of end of pipe solutions and clean technologies--Determinants of firms' investments for reducing emissions to air in four sectors in Sweden," Energy Policy, Elsevier, vol. 38(7), pages 3644-3651, July.
    31. Adam Jaffe & Richard Newell & Robert Stavins, 2002. "Environmental Policy and Technological Change," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 22(1), pages 41-70, June.
    32. Chambers, Robert G. & Chung, Yangho & Fare, Rolf, 1996. "Benefit and Distance Functions," Journal of Economic Theory, Elsevier, vol. 70(2), pages 407-419, August.
    33. Wu, Ge & Baležentis, Tomas & Sun, Chuanwang & Xu, Shuhua, 2019. "Source control or end-of-pipe control: Mitigating air pollution at the regional level from the perspective of the Total Factor Productivity change decomposition," Energy Policy, Elsevier, vol. 129(C), pages 1227-1239.
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    Cited by:

    1. Daniel Leppert, 2023. "“No fences make bad neighbors” but markets make better ones: cap-and-trade reduces cross-border SO2 in a natural experiment," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 25(3), pages 407-433, July.
    2. Zhou, Yi & Zhou, Wenji & Wei, Chu, 2023. "Environmental performance of the Chinese cement enterprise: An empirical analysis using a text-based directional vector," Energy Economics, Elsevier, vol. 125(C).
    3. Rolf Färe & Shawna Grosskopf & Carl A. Pasurka, 2023. "Revealed pollution abatement costs revisited," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 25(4), pages 601-629, October.

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    More about this item

    Keywords

    Abatement; Production technology; Network model; Environmental investment; Emissions policy;
    All these keywords.

    JEL classification:

    • Q52 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Pollution Control Adoption and Costs; Distributional Effects; Employment Effects
    • Q53 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Air Pollution; Water Pollution; Noise; Hazardous Waste; Solid Waste; Recycling
    • Q55 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Technological Innovation
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis

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