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Fixed costs involved in crop pattern changes and agri-environmental schemes

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  • Espinosa-Goded, Maria
  • Dupraz, Pierre
  • Barreiro-Hurlé, Jesùs

Abstract

Agri-environmental schemes are the main policy instrument currently available in the European Union to promote environmentally friendly farming practices. Nevertheless, the adoption rate of these measures is still limited. This paper develops a profit maximizer theoretical framework to explain the farmer’s sign-up decision and the area to put under an agri-environmental measure characterised by a change in the crop pattern. The application concerns an agri-environmental measure awarding the introduction of alfalfa in cereal farms in Natura 2000 designated areas of Aragon (Spain). The econometric specification accounts for both the upper censoring of the enrolled area, constrained by the available eligible area, and the self-selection of contractors according to the extra-profit of their enrolment. To test the absence of fixed costs of enrolment, a simple tobit with a lower and an upper bound, that corresponds to the non fixed costs situation, is compared to the censored model with selection. Estimated specifications based on the enrolled area do not provided normally distributed residues and are not suitable to carry out the likelihood ratio test. Estimated specifications based on the share of enrolled area in the eligible area provide normally distributed residues. The likelihood ratio test rejects the absence of fixed costs. Technical factors as well as social capital variables are taken into consideration as determinants of technical and transaction costs. Estimation results show that there is an adoption barrier derived from the know-how affecting the fixed compliance costs of introducing the new crop. In addition, there is an adoption barrier derived from transaction costs which are reduced in the presence of social networks. These results suggest that a non linear payment mechanism or auctions might be suitable to ensure a better coverage of Natura 2000 eligible areas by the contracts, with a limited increase in related public expenditures.

Suggested Citation

  • Espinosa-Goded, Maria & Dupraz, Pierre & Barreiro-Hurlé, Jesùs, 2009. "Fixed costs involved in crop pattern changes and agri-environmental schemes," Working Papers 211000, Institut National de la recherche Agronomique (INRA), Departement Sciences Sociales, Agriculture et Alimentation, Espace et Environnement (SAE2).
    • Handle: RePEc:ags:inrasl:211000
    DOI: 10.22004/ag.econ.211000
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    References listed on IDEAS

    as
    1. Thilo Glebe & Klaus Salhofer, 2007. "EU agri‐environmental programs and the “restaurant table effect”," Agricultural Economics, International Association of Agricultural Economists, vol. 37(2‐3), pages 211-218, September.
    2. Joseph Cooper & Giovanni Signorello, 2008. "Farmer Premiums for the Voluntary Adoption of Conservation Plans," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 51(1), pages 1-14.
    3. Uwe Latacz-Lohmann & Carel Van der Hamsvoort, 1997. "Auctioning Conservation Contracts: A Theoretical Analysis and an Application," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(2), pages 407-418.
    4. Barreiro-Hurlé, Jesús & Espinosa-Goded, Maria & Dupraz, Pierre, 2008. "Does Intensity Of Change Matter? Factors Affecting Adoption In Two Agri-Environmental Schemes," 107th Seminar, January 30-February 1, 2008, Sevilla, Spain 6458, European Association of Agricultural Economists.
    5. Jesus Barreiro-Hurle & Maria Espinosa-Goded & Pierre Dupraz, 2010. "Does intensity of change matter? Factors affecting adoption of agri-environmental schemes in Spain," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 53(7), pages 891-905.
    6. Isabel Vanslembrouck & Guido Van Huylenbroeck & Wim Verbeke, 2002. "Determinants of the Willingness of Belgian Farmers to Participate in Agri‐environmental Measures," Journal of Agricultural Economics, Wiley Blackwell, vol. 53(3), pages 489-511, November.
    7. Geraldine Ducos & Pierre Dupraz, 2007. "The asset specificity issue in the private provision of environmental services: Evidence from agro-environmental contracts," Post-Print hal-01931632, HAL.
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    More about this item

    Keywords

    Environmental Economics and Policy;

    JEL classification:

    • Q12 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets
    • Q15 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Land Ownership and Tenure; Land Reform; Land Use; Irrigation; Agriculture and Environment
    • Q52 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Pollution Control Adoption and Costs; Distributional Effects; Employment Effects
    • Q57 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Ecological Economics
    • Q58 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Government Policy
    • H23 - Public Economics - - Taxation, Subsidies, and Revenue - - - Externalities; Redistributive Effects; Environmental Taxes and Subsidies
    • D23 - Microeconomics - - Production and Organizations - - - Organizational Behavior; Transaction Costs; Property Rights
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • C24 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Truncated and Censored Models; Switching Regression Models; Threshold Regression Models
    • C34 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Truncated and Censored Models; Switching Regression Models

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