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Zahlungen für Landwirte an gesellschaftliche Leistungen koppeln! Ein Kommentar zum aktuellen Stand der EU-Agrarreform

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  • Lakner, Sebastian
  • Holst, Carsten
  • Brümmer, Bernhard
  • von Cramon-Taubadel, Stephan
  • Theuvsen, Ludwig
  • Mußhoff, Oliver
  • Tscharntke, Teja

Abstract

[...] Die Einführung von Direktzahlungen zur Kompensation von Interventionspreissenkungen war ursprünglich eine wichtige Voraussetzung für die fundamentalen Reformen der GAP seit 1992, auch um Bestandsschutz für die im Vertrauen auf das politische Versprechen hoher Agrarpreise getätigten Investitionen in der Landwirtschaft zu gewährleisten. Dieses Argument ist 20 Jahre nach der ersten Reform nicht mehr überzeugend, insbesondere angesichts der hohen Agrarpreise in den letzten fünf Jahren und der Überwälzung der Direktzahlungen an die Bodeneigentümer. Mit dem Konzept des Greenings verfolgt die Kommission das Ziel, 30% der Direktzahlungen als Gegenleistung für die Einhaltung konkreter Umweltauflagen zu gewähren. Nach dem Willen der Kommission soll deshalb nunmehr das Konzept des 'Greenings' als Begründung für die Fortführung des Systems der Direktzahlungen dienen. [...]

Suggested Citation

  • Lakner, Sebastian & Holst, Carsten & Brümmer, Bernhard & von Cramon-Taubadel, Stephan & Theuvsen, Ludwig & Mußhoff, Oliver & Tscharntke, Teja, 2013. "Zahlungen für Landwirte an gesellschaftliche Leistungen koppeln! Ein Kommentar zum aktuellen Stand der EU-Agrarreform," DARE Discussion Papers 1304, Georg-August University of Göttingen, Department of Agricultural Economics and Rural Development (DARE).
  • Handle: RePEc:zbw:daredp:1304
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    as
    1. Kalirajan, K P & Shand, R T, 1999. " Frontier Production Functions and Technical Efficiency Measures," Journal of Economic Surveys, Wiley Blackwell, vol. 13(2), pages 149-172, April.
    2. William FOSTER & William FOSTER, 2006. "Chilean Agriculture And Major Economic Reforms: Growth, Trade, Poverty And The Environment," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 23, pages 187-214.
    3. Bravo-Ureta, Boris E. & Evenson, Robert E., 1994. "Efficiency in agricultural production: the case of peasant farmers in eastern Paraguay," Agricultural Economics of Agricultural Economists, International Association of Agricultural Economists, vol. 10(1), January.
    4. Hazarika, Gautam & Alwang, Jeffrey, 2003. "Access to credit, plot size and cost inefficiency among smallholder tobacco cultivators in Malawi," Agricultural Economics, Blackwell, vol. 29(1), pages 99-109, July.
    5. Jean-Paul Chavas & Ragan Petrie & Michael Roth, 2005. "Farm Household Production Efficiency: Evidence from The Gambia," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(1), pages 160-179.
    6. Jaume Puig & Josep M. Argilés, 2000. "Measuring and explaining farm inefficiency in a panel data set of mixed farms," Economics Working Papers 503, Department of Economics and Business, Universitat Pompeu Fabra.
    7. Stéphane Blancard & Jean-Philippe Boussemart & Walter Briec & Kristiaan Kerstens, 2006. "Short- and Long-Run Credit Constraints in French Agriculture: A Directional Distance Function Framework Using Expenditure-Constrained Profit Functions," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 88(2), pages 351-364.
    8. Battese, George E. & Coelli, Tim J., 1988. "Prediction of firm-level technical efficiencies with a generalized frontier production function and panel data," Journal of Econometrics, Elsevier, vol. 38(3), pages 387-399, July.
    9. Curtiss, Jarmila & Brümmer, Bernhard & Medonos, Tomas & Weaver, Robert D., 2005. "Structural Change in Transition: A Role for Organizational Legitimacy? Evidence from Czech Agriculture," 2005 International Congress, August 23-27, 2005, Copenhagen, Denmark 24557, European Association of Agricultural Economists.
    10. Caudill, Steven B. & Ford, Jon M., 1993. "Biases in frontier estimation due to heteroscedasticity," Economics Letters, Elsevier, vol. 41(1), pages 17-20.
    11. George E. Battese & Greg S. Corra, 1977. "Estimation Of A Production Frontier Model: With Application To The Pastoral Zone Of Eastern Australia," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 21(3), pages 169-179, December.
    12. Abdulai, Awudu & Eberlin, Richard, 2001. "Technical efficiency during economic reform in Nicaragua: evidence from farm household survey data," Economic Systems, Elsevier, vol. 25(2), pages 113-125, June.
    13. Sotnikov, Sergey, 1998. "Evaluating the Effects of Price and Trade Liberalisation on the Technical Efficiency of Agricultural Production in a Transition Economy: The Case of Russia," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 25(3), pages 412-431.
    14. Giannis Karagiannis, 2005. "Explaining output growth with a heteroscedastic non-neutral production frontier: the case of sheep farms in Greece," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 32(1), pages 51-74, March.
    15. Konstantinos Giannakas & Richard Schoney & Vangelis Tzouvelekas, 2001. "Technical Efficiency, Technological Change and Output Growth of Wheat Farms in Saskatchewan," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 49(2), pages 135-152, July.
    16. Antonio Alvarez & Christine Amsler & Luis Orea & Peter Schmidt, 2006. "Interpreting and Testing the Scaling Property in Models where Inefficiency Depends on Firm Characteristics," Journal of Productivity Analysis, Springer, vol. 25(3), pages 201-212, June.
    17. Luis R. Murillo-Zamorano, 2004. "Economic Efficiency and Frontier Techniques," Journal of Economic Surveys, Wiley Blackwell, vol. 18(1), pages 33-77, February.
    18. Suzanne O’Neill & Alan Matthews, 2001. "Technical Change and Efficiency in Irish Agriculture," The Economic and Social Review, Economic and Social Studies, vol. 32(3), pages 263-284.
    19. Kumbhakar, Subal C & Ghosh, Soumendra & McGuckin, J Thomas, 1991. "A Generalized Production Frontier Approach for Estimating Determinants of Inefficiency in U.S. Dairy Farms," Journal of Business & Economic Statistics, American Statistical Association, vol. 9(3), pages 279-286, July.
    20. Jondrow, James & Knox Lovell, C. A. & Materov, Ivan S. & Schmidt, Peter, 1982. "On the estimation of technical inefficiency in the stochastic frontier production function model," Journal of Econometrics, Elsevier, vol. 19(2-3), pages 233-238, August.
    21. Caudill, Steven B & Ford, Jon M & Gropper, Daniel M, 1995. "Frontier Estimation and Firm-Specific Inefficiency Measures in the Presence of Heteroscedasticity," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(1), pages 105-111, January.
    22. Battese, George E. & Corra, Greg S., 1977. "Estimation Of A Production Frontier Model: With Application To The Pastoral Zone Of Eastern Australia," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 21(03), December.
    23. George Battese & Sumiter Broca, 1997. "Functional Forms of Stochastic Frontier Production Functions and Models for Technical Inefficiency Effects: A Comparative Study for Wheat Farmers in Pakistan," Journal of Productivity Analysis, Springer, vol. 8(4), pages 395-414, November.
    24. William C. Horrace & Peter Schmidt, 2002. "Confidence Statements for Efficiency Estimates from Stochastic Frontier Models," Econometrics 0206006, EconWPA.
    25. Hung-Jen Wang, 2002. "Heteroscedasticity and Non-Monotonic Efficiency Effects of a Stochastic Frontier Model," Journal of Productivity Analysis, Springer, vol. 18(3), pages 241-253, November.
    26. Kaddour Hadri & Cherif Guermat & Julie Whittaker, 2003. "Estimating Farm Efficiency in the Presence of Double Heteroscedasticity Using Panel Data," Journal of Applied Economics, Universidad del CEMA, vol. 6, pages 255-268, November.
    27. Tauer, Loren W. & Mishra, Ashok K., 2005. "U.S. Dairy Farm Cost Efficiency," Working Papers 127079, Cornell University, Department of Applied Economics and Management.
    28. Thijssen, Geert, 1992. "A Comparison of Production Technology Using Primal and Dual Approaches: The Case of Dutch Dairy Farms," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 19(1), pages 49-65.
    29. Ariel Dinar & Giannis Karagiannis & Vangelis Tzouvelekas, 2007. "Evaluating the impact of agricultural extension on farms' performance in Crete: a nonneutral stochastic frontier approach," Agricultural Economics, International Association of Agricultural Economists, vol. 36(2), pages 135-146, March.
    30. Abdulai, Awudu & Huffman, Wallace, 2000. "Structural Adjustment and Economic Efficiency of Rice Farmers in Northern Ghana," Economic Development and Cultural Change, University of Chicago Press, vol. 48(3), pages 503-520, April.
    31. Olson, Jerome A. & Schmidt, Peter & Waldman, Donald M., 1980. "A Monte Carlo study of estimators of stochastic frontier production functions," Journal of Econometrics, Elsevier, vol. 13(1), pages 67-82, May.
    32. Fletschner, Diana K. & Zepeda, Lydia, 2002. "Efficiency Of Small Landholders In Eastern Paraguay," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 27(02), December.
    33. Johannes Sauer & Klaus Frohberg & Henrich Hockmann, 2006. "Stochastic efficiency measurement: The curse of theoretical consistency," Journal of Applied Economics, Universidad del CEMA, vol. 9, pages 139-166, May.
    34. Binam, Joachim Nyemeck & Tonye, Jean & wandji, Njankoua & Nyambi, Gwendoline & Akoa, Mireille, 2004. "Factors affecting the technical efficiency among smallholder farmers in the slash and burn agriculture zone of Cameroon," Food Policy, Elsevier, vol. 29(5), pages 531-545, October.
    35. Busse, Stefan & Brümmer, Bernard & Ihle, Rico, 2010. "Interdependencies between fossil fuel and renewable energy markets: the German biodiesel market," DARE Discussion Papers 1010, Georg-August University of Göttingen, Department of Agricultural Economics and Rural Development (DARE).
    36. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
    37. ZELLNER, Arnold & KMENTA, Jan & DREZE, Jacques H., 1966. "Specification and estimation of Cobb-Douglas production function models," CORE Discussion Papers RP 12, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    38. Chavas, Jean-Paul & Aliber, Michael, 1993. "An Analysis Of Economic Efficiency In Agriculture: A Nonparametric Approach," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 18(01), July.
    39. Hadley, David & Shankar, Bhavani & Thirtle, Colin G. & Coelli, Tim J., 2001. "Financial Exposure, Technical Change And Farm Efficiency: Evidence From The England And Wales Dairy Sector," 2001 Annual meeting, August 5-8, Chicago, IL 20656, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
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    Cited by:

    1. Baisakova, Nurzat & Herzfeld, Thomas, 2013. "Aspekte der Agrarpolitik 2013," Journal of International Agricultural Trade and Development, Journal of International Agricultural Trade and Development, vol. 63.

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