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Evaluierung von Agrarumweltprogrammen auf Grundlage der Umwelteffizienz landwirtschaftlicher Betriebe

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  • Francksen, Tammo
  • Latacz-Lohmann, Uwe

Abstract

This paper sets out to develop an economic framework for ex post evaluations of agri-environmental schemes. We begin by developing a non-parametric model for estimating farm-level environmental efficiency scores. We then use this efficiency framework to devise a set of economic criteria for evaluating agri-environmental schemes. One key criterion is whether an environmental scheme has given rise to an increase in environmental efficiency scores across participating farms, relative to a counterfactual group of non participants. We finally demonstrate the potential usefulness of the framework by applying it to a fictitious multiple-objective conservation programme. The dataset is made up of 100 fictitious farms, half of which participate in the environmental programme. Each farm is characterised by a set of financial and environmental performance indicators. The results of this mock evaluation show that the proposed evaluation framework generates useful insights into the performance of the scheme and permits identification of potential improvements.

Suggested Citation

  • Francksen, Tammo & Latacz-Lohmann, Uwe, 2008. "Evaluierung von Agrarumweltprogrammen auf Grundlage der Umwelteffizienz landwirtschaftlicher Betriebe," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 57(03-04), pages 1-12.
  • Handle: RePEc:ags:gjagec:97596
    DOI: 10.22004/ag.econ.97596
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    References listed on IDEAS

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    1. Roosen, Jutta & Ordonez, Andrea, 2002. "Voluntary Agreements and the Environmental Efficiency of Participating Farms," 2002 International Congress, August 28-31, 2002, Zaragoza, Spain 24897, European Association of Agricultural Economists.
    2. Fare, Rolf & Grosskopf, Shawna & Tyteca, Daniel, 1996. "An activity analysis model of the environmental performance of firms--application to fossil-fuel-fired electric utilities," Ecological Economics, Elsevier, vol. 18(2), pages 161-175, August.
    3. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    4. Fare, Rolf & Knox Lovell, C. A., 1978. "Measuring the technical efficiency of production," Journal of Economic Theory, Elsevier, vol. 19(1), pages 150-162, October.
    5. Piot-Lepetit, Isabelle & Brümmer, Bernhard & Kleinhanss, Werner, 2001. "Impacts of environmental regulations on the efficiency of arable farms in France and Germany," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 50(03), pages 1-6.
    6. Ball, V.E. & Lovell, C.A K. & Nehring, R.F. & Somwaru, A., 1994. "Incorporating indesirable outputs into models of production: an application to US agriculture," Cahiers d'Economie et de Sociologie Rurales (CESR), Institut National de la Recherche Agronomique (INRA), vol. 31.
    7. William Cooper & Kyung Park & Jesus Pastor, 1999. "RAM: A Range Adjusted Measure of Inefficiency for Use with Additive Models, and Relations to Other Models and Measures in DEA," Journal of Productivity Analysis, Springer, vol. 11(1), pages 5-42, February.
    8. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    9. Fare, Rolf, et al, 1989. "Multilateral Productivity Comparisons When Some Outputs Are Undesirable: A Nonparametric Approach," The Review of Economics and Statistics, MIT Press, vol. 71(1), pages 90-98, February.
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    Cited by:

    1. Breustedt, Gunnar & Schulz, Norbert & Latacz-Lohmann, Uwe, 2013. "Ermittlung der Teilnahmebereitschaft an Vertragsnaturschutzprogrammen und der dafür notwendigen Ausgleichszahlungen mit Hilfe eines Discrete-Choice-Experimentes," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 62(04), pages 1-15, November.
    2. Breustedt, Gunnar & Schulz, Norbert & Latacz-Lohmann, Uwe, 2013. "Ermittlung der Teilnahmebereitschaft an Vertragsnaturschutzprogrammen und der dafür notwendigen Ausgleichszahlungen mit Hilfe eines Discrete-Choice-Experimentes," Journal of International Agricultural Trade and Development, Journal of International Agricultural Trade and Development, vol. 62(4).

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