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Modelling Environmental Adjustments of Production Technologies: A Literature Review
[Modélisation de technologies génératrices de pollution : revue de la littérature]

Author

Listed:
  • K Hervé Dakpo

    (ECO-PUB - Economie Publique - INRA - Institut National de la Recherche Agronomique - AgroParisTech)

  • Frederic Ang

    (Business Economics Group - WUR - Wageningen University and Research [Wageningen])

Abstract

This chapter theoretically discusses existing methodologies to model environmental adjustments of technologies. We elaborate on the limitations of treating pollution as an input or weakly disposable output, as commonly occurs in the literature. Moreover, we discuss the drawbacks of models that rely on the materials balance principle. We advocate the use of multi-equation modelling, which explicitly models the subprocesses of the production technology. Applied to the context of pollution, such an approach separately models the conventional technology, on the one hand, and the pollution-generating technology, on the other. Finally, we discuss abatement options as well as the possibility of adjusting for good environmental outputs (e.g. carbon sinks).

Suggested Citation

  • K Hervé Dakpo & Frederic Ang, 2019. "Modelling Environmental Adjustments of Production Technologies: A Literature Review [Modélisation de technologies génératrices de pollution : revue de la littérature]," Post-Print hal-02789879, HAL.
    • Handle: RePEc:hal:journl:hal-02789879
    DOI: 10.1007/978-3-030-23727-1_16
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    Citations

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    Cited by:

    1. F. Ang & K. H. Dakpo, 2021. "Comment: Performance measurement and joint production of intended and unintended outputs," Journal of Productivity Analysis, Springer, vol. 55(3), pages 185-188, June.
    2. Jindal, Abhinav & Nilakantan, Rahul & Sinha, Avik, 2024. "CO2 emissions abatement costs and drivers for Indian thermal power industry," Energy Policy, Elsevier, vol. 184(C).
    3. Deng, Haiyan & Zheng, Wangyi & Shen, Zhiyang & Štreimikienė, Dalia, 2023. "Does fiscal expenditure promote green agricultural productivity gains: An investigation on corn production," Applied Energy, Elsevier, vol. 334(C).
    4. Dyckhoff, Harald & Souren, Rainer, 2022. "Integrating multiple criteria decision analysis and production theory for performance evaluation: Framework and review," European Journal of Operational Research, Elsevier, vol. 297(3), pages 795-816.
    5. Stefano NASINI & Rabia NESSAH, 2021. "Endogenous Learning in Multi-Sector Economies," Working Papers 2021-EQM-08, IESEG School of Management, revised Oct 2023.
    6. Finn R. Førsund, 2021. "Performance measurement and joint production of intended and unintended outputs," Journal of Productivity Analysis, Springer, vol. 55(3), pages 157-175, June.
    7. Fukuyama, Hirofumi & Song, Yao-yao & Ren, Xian-tong & Yang, Guo-liang, 2022. "Using a novel DEA-based model to investigate capacity utilization of Chinese firms," Omega, Elsevier, vol. 106(C).

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