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Accounting for farm heterogeneity in the assessment of agricultural policy impacts on structural change

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  • Saint-Cyr, Legrand D. F.

Abstract

This study aims at investigating the impact of agricultural policies on structural change process in the French farming sector. As farms may behave differently, a mixture modeling approach is applied in order to account for unobserved farm heterogeneity. A multinomial logit specification is used for the transition probabilities and the parameters of the model are estimated by maximum likelihood method using the expectation-maximization (EM) algorithm. An empirical application to an unbalanced panel over 2000-2013 shows that the French farming sector consists of a mixture of two types of farms with transition processes very different. The results also show that the impact of subsidies from the First and the Second Pillars of the Common Agricultural policy (CAP) depends on the type membership of farms. I thus argued that agricultural policy assessment should pay more attention on potential unobserved heterogeneity in farms’ behavior.

Suggested Citation

  • Saint-Cyr, Legrand D. F., 2016. "Accounting for farm heterogeneity in the assessment of agricultural policy impacts on structural change," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235778, Agricultural and Applied Economics Association.
  • Handle: RePEc:ags:aaea16:235778
    DOI: 10.22004/ag.econ.235778
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    1. Andrea Zimmermann & Thomas Heckelei, 2012. "Structural Change of European Dairy Farms – A Cross-Regional Analysis," Journal of Agricultural Economics, Wiley Blackwell, vol. 63(3), pages 576-603, September.
    2. Stokes, Jeffrey R., 2006. "Entry, Exit, and Structural Change in Pennsylvania's Dairy Sector," Agricultural and Resource Economics Review, Cambridge University Press, vol. 35(2), pages 357-373, October.
    3. Laure Latruffe & Sophia Davidova & Elodie Douarin & Matthew Gorton, 2010. "Farm Expansion in Lithuania after Accession to the EU: The Role of CAP Payments in Alleviating Potential Credit Constraints," Europe-Asia Studies, Taylor & Francis Journals, vol. 62(2), pages 351-365.
    4. Nejla Ben Arfa & Karine Daniel & Florence Jacquet & Kostas Karantininis, 2015. "Agricultural Policies and Structural Change in French Dairy Farms: A Nonstationary Markov Model," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 63(1), pages 19-42, March.
    5. Frydman, Halina & Schuermann, Til, 2008. "Credit rating dynamics and Markov mixture models," Journal of Banking & Finance, Elsevier, vol. 32(6), pages 1062-1075, June.
    6. Jafry, Yusuf & Schuermann, Til, 2004. "Measurement, estimation and comparison of credit migration matrices," Journal of Banking & Finance, Elsevier, vol. 28(11), pages 2603-2639, November.
    7. M. C. Hallberg, 1969. "Projecting the Size Distribution of Agricultural Firms—An Application of a Markov Process with Non-Stationary Transition Probabilities," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 51(2), pages 289-302.
    8. Greene, William H. & Hensher, David A., 2003. "A latent class model for discrete choice analysis: contrasts with mixed logit," Transportation Research Part B: Methodological, Elsevier, vol. 37(8), pages 681-698, September.
    9. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555.
    10. 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.
    11. Garth Holloway & Donald Lacombe & James P. LeSage, 2007. "Spatial Econometric Issues for Bio‐Economic and Land‐Use Modelling," Journal of Agricultural Economics, Wiley Blackwell, vol. 58(3), pages 549-588, September.
    12. Piet, Laurent, 2011. "Assessing structural change in agriculture with a parametric Markov chain model. Illustrative applications to EU-15 and the USA," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114668, European Association of Agricultural Economists.
    13. Fengxia Dong & David A. Hennessy & Helen H. Jensen, 2010. "Contract and Exit Decisions in Finisher Hog Production," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 92(3), pages 667-684.
    14. Arne Hallam, 1991. "Economies of Size and Scale in Agriculture: An Interpretive Review of Empirical Measurement," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 13(1), pages 155-172.
    15. T. C. Lee & G. G. Judge & T. Takayama, 1965. "On Estimating the Transition Probabilities of a Markov Process," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 47(3), pages 742-762.
    16. Peter Howley, 2015. "The Happy Farmer: The Effect of Nonpecuniary Benefits on Behavior," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 97(4), pages 1072-1086.
    17. Michael Boehlje, 1992. "Alternative models of structural change in agriculture and related industries," Agribusiness, John Wiley & Sons, Ltd., vol. 8(3), pages 219-231.
    18. Pennings, Joost M. E. & Garcia, Philip, 2004. "Hedging behavior in small and medium-sized enterprises: The role of unobserved heterogeneity," Journal of Banking & Finance, Elsevier, vol. 28(5), pages 951-978, May.
    19. Denis Fougère & Thierry Kamionka, 2003. "Bayesian inference for the mover-stayer model in continuous time with an application to labour market transition data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(6), pages 697-723.
    20. Jayasri Dutta & J. A. Sefton & M. R. WEALE, 2001. "Income distribution and income dynamics in the United Kingdom," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(5), pages 599-617.
    21. Dwyer, Janet, 2013. "Transformation for sustainable agriculture: what role for the second Pillar of CAP?," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), vol. 2(1), pages 1-19, April.
    22. Daniele Pacifico & Hong il Yoo, 2012. "Iclogit: a Stata module for estimating a mixed logit model with discrete mixing distribution via the Expectation-Maximization algorithm," Working Papers 6, Department of the Treasury, Ministry of the Economy and of Finance.
    23. Jose Dias & Frans Willekens, 2005. "Model-based Clustering of Sequential Data with an Application to Contraceptive Use Dynamics," Mathematical Population Studies, Taylor & Francis Journals, vol. 12(3), pages 135-157.
    24. Saint-Cyr, Legrand D. F. & Piet, Laurent, 2014. "Movers and Stayers in the Farming Sector: Another Look at Heterogeneity in Structural Change," 2014 International Congress, August 26-29, 2014, Ljubljana, Slovenia 183068, European Association of Agricultural Economists.
    25. Silke Huettel & Roel Jongeneel, 2011. "How has the EU milk quota affected patterns of herd-size change?," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 38(4), pages 497-527, October.
    26. Rahelizatovo, Noro C. & Gillespie, Jeffrey M., 1999. "Dairy Farm Size, Entry, and Exit in a Declining Production Region," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 31(2), pages 333-347, August.
    27. Lydia Zepeda, 1995. "Asymmetry and Nonstationarity in the Farm Size Distribution of Wisconsin Milk Producers: An Aggregate Analysis," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 77(4), pages 837-852.
    28. Bostwick, Don, 1962. "Yield Probabilities as a Markov Process," Journal of Agricultural Economics Research, United States Department of Agriculture, Economic Research Service, vol. 14(2), pages 1-8, April.
    29. Daniel I. Padberg, 1962. "The Use of Markov Processes in Measuring Changes in Market Structure," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 44(1), pages 189-199.
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    Agricultural and Food Policy; Farm Management; Research Methods/ Statistical Methods;
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