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Crop-diversity and Cereal Production under the CAP Reform: Evidence from Italy

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  • Elisa Gatto
  • Guido Signorino

Abstract

The paper offers empirical evidence on the relationship between inter-species diversity and production within a panel of agricultural firms operating in the cereal sector over the period 2004-2007. A Cobb-Douglas agricultural production function is estimated using different panel estimation methods which make it possible to control for the dynamic structure of agricultural production and for regressors? endogeneity. We find evidence of a significant relationship between biodiversity and production, confirming the stability-diversity hypothesis. Additionally, the analysis supports the effectiveness of the new CAP intervention measures in sustaining farmers? revenues.

Suggested Citation

  • Elisa Gatto & Guido Signorino, 2014. "Crop-diversity and Cereal Production under the CAP Reform: Evidence from Italy," SCIENZE REGIONALI, FrancoAngeli Editore, vol. 2014(3), pages 35-50.
    • Handle: RePEc:fan:scresc:v:html10.3280/scre2014-003002
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    1. Moro, Daniele & Sckokai, Paolo, 1999. "Modelling the CAP Arable Crop Regime in Italy : Degree of Decoupling and Impact of Agenda 2000," Cahiers d'Economie et de Sociologie Rurales (CESR), Institut National de la Recherche Agronomique (INRA), vol. 53.
    2. Zvi Griliches & Jacques Mairesse, 1995. "Production Functions: The Search for Identification," NBER Working Papers 5067, National Bureau of Economic Research, Inc.
    3. repec:hrs:journl:v:2:y:2010:i:2:p:13-46 is not listed on IDEAS
    4. Bhaskar, Arathi & Beghin, John C., 2009. "How Coupled Are Decoupled Farm Payments? A Review of the Evidence," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 34(1), pages 1-24, April.
    5. Jean-Paul Chavas & James Kliebenstein & Thomas D. Crenshaw, 1985. "Modeling Dynamic Agricultural Production Response: The Case of Swine Production," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 67(3), pages 636-646.
    6. William A. Brock & Anastasios Xepapadeas, 2003. "Valuing Biodiversity from an Economic Perspective: A Unified Economic, Ecological, and Genetic Approach," American Economic Review, American Economic Association, vol. 93(5), pages 1597-1614, December.
    7. Bun, Maurice J. G. & Kiviet, Jan F., 2003. "On the diminishing returns of higher-order terms in asymptotic expansions of bias," Economics Letters, Elsevier, vol. 79(2), pages 145-152, May.
    8. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    9. Nigel Key & Ruben N. Lubowski & Michael J. Roberts, 2005. "Farm-Level Production Effects from Participation in Government Commodity Programs: Did the 1996 Federal Agricultural Improvement and Reform Act Make a Difference?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(5), pages 1211-1219.
    10. Knutson, Ronald D. & Smith, Edward G. & Anderson, David P. & Richardson, James W., 1998. "Southern Farmers' Exposure To Income Risk Under The 1996 Farm Bill," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 30(1), pages 1-12, July.
    11. Markus Eberhardt & Christian Helmers, 2010. "Untested Assumptions and Data Slicing: A Critical Review of Firm-Level Production Function Estimators," Economics Series Working Papers 513, University of Oxford, Department of Economics.
    12. Arellano, Manuel, 2003. "Panel Data Econometrics," OUP Catalogue, Oxford University Press, number 9780199245291.
    13. Paolo Sckokai & Daniele Moro, 2006. "Modeling the Reforms of the Common Agricultural Policy for Arable Crops under Uncertainty," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 88(1), pages 43-56.
    14. Salvatore Di Falco & Jean-Paul Chavas, 2008. "Rainfall Shocks, Resilience, and the Effects of Crop Biodiversity on Agroecosystem Productivity," Land Economics, University of Wisconsin Press, vol. 84(1), pages 83-96.
    15. Carl Johan Lagerkvist, 2005. "Agricultural policy uncertainty and farm level adjustments--the case of direct payments and incentives for farmland investment," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 32(1), pages 1-23, March.
    16. Salvatore Di Falco & Charles Perrings, 2003. "Crop Genetic Diversity, Productivity and Stability of Agroecosystems. A Theoretical and Empirical Investigation," Scottish Journal of Political Economy, Scottish Economic Society, vol. 50(2), pages 207-216, May.
    17. Nickell, Stephen J, 1981. "Biases in Dynamic Models with Fixed Effects," Econometrica, Econometric Society, vol. 49(6), pages 1417-1426, November.
    18. Barry K. Goodwin & Ashok K. Mishra, 2005. "Another Look at Decoupling: Additional Evidence on the Production Effects of Direct Payments," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(5), pages 1200-1210.
    19. Jonathan Morduch, 1995. "Income Smoothing and Consumption Smoothing," Journal of Economic Perspectives, American Economic Association, vol. 9(3), pages 103-114, Summer.
    20. Di Falco, Salvatore & Perrings, Charles, 2005. "Crop biodiversity, risk management and the implications of agricultural assistance," Ecological Economics, Elsevier, vol. 55(4), pages 459-466, December.
    21. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    22. Melinda Smale & Jason Hartell & Paul W. Heisey & Ben Senauer, 1998. "The Contribution of Genetic Resources and Diversity to Wheat Production in the Punjab of Pakistan," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 80(3), pages 482-493.
    23. Salvatore Di Falco & Jean‐Paul Chavas & Melinda Smale, 2007. "Farmer management of production risk on degraded lands: the role of wheat variety diversity in the Tigray region, Ethiopia," Agricultural Economics, International Association of Agricultural Economists, vol. 36(2), pages 147-156, March.
    24. Stefan Baumgärtner & Martin F. Quaas, 2010. "Managing increasing environmental risks through agrobiodiversity and agrienvironmental policies," Agricultural Economics, International Association of Agricultural Economists, vol. 41(5), pages 483-496, September.
    25. Paulo A.L.D. Nunes & Peter Nijkamp, 2010. "Sustainable Biodiversity: Evaluation Lessons From Past Economic Research," Regional Science Inquiry, Hellenic Association of Regional Scientists, vol. 0(2), pages 13-46, December.
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    More about this item

    Keywords

    Biodiversit?; PAC; panel dinamici. Classificazione;
    All these keywords.

    JEL classification:

    • Q18 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Policy; Food Policy; Animal Welfare Policy
    • 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

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