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Technological externalities and environmental policy: how to simulate manure management regulation within a DEA framework

Author

Listed:
  • Isabelle Piot-Lepetit

    (Marchés, Organisations, Institutions et Stratégies d'Acteurs - Cirad - Centre de Coopération Internationale en Recherche Agronomique pour le Développement - INRA - Institut National de la Recherche Agronomique - CIHEAM-IAMM - Centre International de Hautes Etudes Agronomiques Méditerranéennes - Institut Agronomique Méditerranéen de Montpellier - CIHEAM - Centre International de Hautes Études Agronomiques Méditerranéennes - Montpellier SupAgro - Institut national d’études supérieures agronomiques de Montpellier, IPTS - JRC Institute for Prospective Technological Studies - JRC - European Commission - Joint Research Centre [Seville])

Abstract

The directional distance function defined in a DEA type non-parametric framework provides a highly flexible structure for modelling producer behaviour in the presence of polluting emissions and environmental regulations. This article presents five models describing different "command and control" type policy measures as an economic one about nitrogen pollution of agricultural origin. These measures concern the management of the mandatory constraint on the spreading of organic manure and the investment in manure treatment facilities. The study also simulates the use of an economic instrument by enforcing the individual manure constraint at an aggregated level. Using individual and aggregated DEA models, this paper provides insights into the impact of individual and collective management of environmental policy instruments.

Suggested Citation

  • Isabelle Piot-Lepetit, 2014. "Technological externalities and environmental policy: how to simulate manure management regulation within a DEA framework," Post-Print hal-02640790, HAL.
    • Handle: RePEc:hal:journl:hal-02640790
    DOI: 10.1007/s10479-010-0744-8
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    Citations

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    Cited by:

    1. Sueyoshi, Toshiyuki & Yuan, Yan & Goto, Mika, 2017. "A literature study for DEA applied to energy and environment," Energy Economics, Elsevier, vol. 62(C), pages 104-124.
    2. Heidari, Mohammad Davoud & Turner, Ian & Ardestani-Jaafari, Amir & Pelletier, Nathan, 2021. "Operations research for environmental assessment of crop-livestock production systems," Agricultural Systems, Elsevier, vol. 193(C).
    3. Martinho, Vítor João Pereira Domingues, 2017. "Efficiency, total factor productivity and returns to scale in a sustainable perspective: An analysis in the European Union at farm and regional level," Land Use Policy, Elsevier, vol. 68(C), pages 232-245.
    4. Ouardighi, Fouad El & Sim, Jeong Eun & Kim, Bowon, 2016. "Pollution accumulation and abatement policy in a supply chain," European Journal of Operational Research, Elsevier, vol. 248(3), pages 982-996.

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