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Structural Change and Farm Investment Support in Austria

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  • Kirchweger, Stefan
  • Kantelhardt, Jochen

Abstract

The effects of policy supported farm investments on structural change in agriculture have been studied rarely. The heterogeneity of farms and the problem of self-selection are challenging the evaluation of treatments in agriculture. Econometric methods can help to overcome these problems. In this paper, we apply a conditional Difference-in-Difference (DiD) estimation, where we combine Direct Covariate Matching with a DiD estimation. Our dataset consist of more than 90,000 farms. In order to measure the development and the heterogeneity of the effects after the investment we look at several years and different farm groups separately. Our results show that investing farms significantly enlarge and intensify their production more than non-investing farms. Furthermore, the results indicate that investments are often not completely implemented short-term but require a certain implementation period. This applies in particular to cattle farming.

Suggested Citation

  • Kirchweger, Stefan & Kantelhardt, Jochen, 2014. "Structural Change and Farm Investment Support in Austria," 88th Annual Conference, April 9-11, 2014, AgroParisTech, Paris, France 170545, Agricultural Economics Society.
    • Handle: RePEc:ags:aesc14:170545
    DOI: 10.22004/ag.econ.170545
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    1. Happe, K. & Hutchings, N.J. & Dalgaard, T. & Kellerman, K., 2011. "Modelling the interactions between regional farming structure, nitrogen losses and environmental regulation," Agricultural Systems, Elsevier, vol. 104(3), pages 281-291, March.
    2. Stefan Mann, 2005. "Farm Size Growth and Participation in Agri‐environmental Schemes: A Configural Frequency Analysis of the Swiss Case," Journal of Agricultural Economics, Wiley Blackwell, vol. 56(3), pages 373-384, December.
    3. A. Smith, Jeffrey & E. Todd, Petra, 2005. "Does matching overcome LaLonde's critique of nonexperimental estimators?," Journal of Econometrics, Elsevier, vol. 125(1-2), pages 305-353.
    4. Weiss, Christoph R. & Thiele, Holger D., 2002. "Diversifikation und Wachstum landwirtschaftlicher Unternehmen," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 51(03), pages 1-8.
    5. Jean-Christophe Bureau & Stefan Tangermann & Alan Matthews & Davide Viaggi & Christophe Crombez & Louise Knops & Johan Swinnen, 2012. "The Common Agricultural Policy after 2013," Intereconomics: Review of European Economic Policy, Springer;ZBW - Leibniz Information Centre for Economics;Centre for European Policy Studies (CEPS), vol. 47(6), pages 316-342, November.
    6. Christoph R. Weiss, 1999. "Farm Growth and Survival: Econometric Evidence for Individual Farms in Upper Austria," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 81(1), pages 103-116.
    7. Jochen Kluve & Boris Augurzky, 2007. "Assessing the performance of matching algorithms when selection into treatment is strong," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(3), pages 533-557.
    8. Guido W. Imbens & Jeffrey M. Wooldridge, 2009. "Recent Developments in the Econometrics of Program Evaluation," Journal of Economic Literature, American Economic Association, vol. 47(1), pages 5-86, March.
    9. Medonos, Tomas & Ratinger, Tomas & Hruska, Martin & Spicka, Jindrich, 2012. "The Assessment of the Effects of Investment Support Measures of the Rural Development Programmes: the Case of the Czech Republic," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 4(4), pages 1-14, December.
    10. Gunnar Breustedt & Thomas Glauben, 2007. "Driving Forces behind Exiting from Farming in Western Europe," Journal of Agricultural Economics, Wiley Blackwell, vol. 58(1), pages 115-127, February.
    11. Mann, Stefan, 2003. "Theorie und Empirie agrarstrukturellen Wandels?," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 52(03), pages 1-9.
    12. James Heckman & Hidehiko Ichimura & Jeffrey Smith & Petra Todd, 1998. "Characterizing Selection Bias Using Experimental Data," Econometrica, Econometric Society, vol. 66(5), pages 1017-1098, September.
    13. Rosenbaum, Paul R., 2010. "Design Sensitivity and Efficiency in Observational Studies," Journal of the American Statistical Association, American Statistical Association, vol. 105(490), pages 692-702.
    14. Ratinger, Tomas & Medonos, Tomas & Spicka, Jindrich & Hruska, Martin & Vilhelm, Vaclav, 2012. "The assessment of the effects of investment support measures of the Rural Development Programmes: the case of the Czech Republic," 131st Seminar, September 18-19, 2012, Prague, Czech Republic 135775, European Association of Agricultural Economists.
    15. Sekhon, Jasjeet S., 2011. "Multivariate and Propensity Score Matching Software with Automated Balance Optimization: The Matching package for R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 42(i07).
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    Keywords

    Agricultural and Food Policy; Agricultural Finance; Farm Management;
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