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Accounting for agronomic rotations in crop production: A theoretical investigation and an empirical modeling framework

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  • Carpentier, Alain
  • Gohin, Alexandre
  • Letort, Elodie

Abstract

As far as crop acreage choices are concerned, a consensus seems to exist among agricultural scientists and extension agents: crop rotation effects and the related constraints are major determinants of farmers’ crop choices. Crop rotation effects are inherently dynamic. They are generally ignored in multicrop models with land as an allocable input found in the literature since most of these models are developed within a static framework. The aim of this paper is twofold (i) to propose a new approach and tools for investigating dynamic crop acreage choices accounting for crop rotation benefits and constraints and (ii) to illustrate the impacts of crop rotation effects and constraints on farmers’ acreage choices through simulation examples. The models proposed in this paper are sufficiently simple for being empirically tractable either in simulation studies or in econometric and mathematical programming analyses. Our simulation results tend to show responses of the optimal dynamic acreages to simple price shocks which are much more complex than those implied by static models. They also demonstrate that farmers’ perceptions of the future economic context are crucial determinants of their acreage choices. In fact current acreage choices may appear suboptimal in a static sense but are fully consistent when dynamic effects of crop rotations are specified.

Suggested Citation

  • Carpentier, Alain & Gohin, Alexandre & Letort, Elodie, 2011. "Accounting for agronomic rotations in crop production: A theoretical investigation and an empirical modeling framework," 2011 Annual Meeting, July 24-26, 2011, Pittsburgh, Pennsylvania 103431, Agricultural and Applied Economics Association.
    • Handle: RePEc:ags:aaea11:103431
    DOI: 10.22004/ag.econ.103431
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    References listed on IDEAS

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    1. Thomas Heckelei & Hendrik Wolff, 2003. "Estimation of constrained optimisation models for agricultural supply analysis based on generalised maximum entropy," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 30(1), pages 27-50, March.
    2. Alfons Oude Lansink & Spiro Stefanou, 2001. "Dynamic Area Allocation and Economies of Scale and Scope," Journal of Agricultural Economics, Wiley Blackwell, vol. 52(3), pages 38-52, September.
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    Cited by:

    1. Ridier, Aude & Chaib, Karim & Roussy, Caroline, 2012. "The adoption of innovative cropping systems under price and production risks: a dynamic model of crop rotation choice," Working Papers 207985, Institut National de la recherche Agronomique (INRA), Departement Sciences Sociales, Agriculture et Alimentation, Espace et Environnement (SAE2).

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