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Technological externalities and environmental policy

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  • Isabelle Piot-Lepetit

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. Copyright Springer Science+Business Media, LLC 2014

Suggested Citation

  • Isabelle Piot-Lepetit, 2014. "Technological externalities and environmental policy," Annals of Operations Research, Springer, vol. 214(1), pages 31-48, March.
    • Handle: RePEc:spr:annopr:v:214:y:2014:i:1:p:31-48:10.1007/s10479-010-0744-8
    DOI: 10.1007/s10479-010-0744-8
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    References listed on IDEAS

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    Cited by:

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    2. 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.
    3. Hervé Leleu & Albane Tarnaud, 2016. "The duality of Shephard’s weakly disposable technology," Working Papers 2016-EQM-06, IESEG School of Management.
    4. 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).
    5. 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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