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The drivers of spatial cropping patterns in Burgundy

Author

Listed:
  • Valentin Bellassen

    (CESAER - Centre d'Economie et de Sociologie Rurales Appliquées à l'Agriculture et aux Espaces Ruraux - AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement)

  • Jean-Sauveur Ay

    (CESAER - Centre d'Economie et de Sociologie Rurales Appliquées à l'Agriculture et aux Espaces Ruraux - AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement)

  • Mohamed Hilal

    (CESAER - Centre d'Economie et de Sociologie Rurales Appliquées à l'Agriculture et aux Espaces Ruraux - AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement)

Abstract

This study quantifies the relative influence of pedo-climatic conditions –natural advantage –and market proximity in the determination of crop location in Burgundy. Econometric models are designed to study the share or presence of six different crops –barley, rapeseed, soy, proteaginous pea, hemp and lentils –at municipal scale. Market proximity is found to have a significant influence on the location of four of them, namely barley, rapeseed, proteaginous pea and hemp. Market proximity increases the share of barley in arable crops by more than 10 percentage points and its influence on the share of barley is as important as pedo-climatic conditions. The influence of malt plants is highest within 80 minutes from plant location. For hemp, the inclusion of market proximity variables in the model increases the phi correlation coefficient from 0.14 to 0.18 and strongly constrains the areas predicted as suitable for hemp. We also derive from these six test cases two likely feasibility conditions for the quantification of market proximity influence on crop location: markets must be crop-specific (eg. hemp factories, which process only hemp) and they must be present in two different locations to limit the multicollinearity and endogeneity problems associated with distance variables. Low crop abundance does not seem to hamper the implementation of our method. This method could be used to refine existing downscaling procedures in economic models of agricultural supply such as AROPAj or CAPRI.

Suggested Citation

  • Valentin Bellassen & Jean-Sauveur Ay & Mohamed Hilal, 2020. "The drivers of spatial cropping patterns in Burgundy," Working Papers hal-02894116, HAL.
    • Handle: RePEc:hal:wpaper:hal-02894116
    Note: View the original document on HAL open archive server: https://hal.inrae.fr/hal-02894116
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    1. Pierre-Philippe Combes & Thierry Mayer & Jacques-François Thisse, 2008. "Economic Geography: The Integration of Regions and Nations," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-00311000, HAL.
    2. Arfa, Nejla Ben & Rodriguez, Carmen & Daniel, Karine, 2009. "Dynamiques spatiales de la production agricole en France," Revue d'économie régionale et urbaine, Editions NecPlus, vol. 2009(04), pages 807-834, December.
    3. Alain Carpentier & Elodie Letort, 2014. "Multicrop Production Models with Multinomial Logit Acreage Shares," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 59(4), pages 537-559, December.
    4. Stephen Gibbons & Henry G. Overman, 2012. "Mostly Pointless Spatial Econometrics?," Journal of Regional Science, Wiley Blackwell, vol. 52(2), pages 172-191, May.
    5. Thomas J. Holmes & Sanghoon Lee, 2012. "Economies of Density versus Natural Advantage: Crop Choice on the Back Forty," The Review of Economics and Statistics, MIT Press, vol. 94(1), pages 1-19, February.
    6. Gibbons, Stephen & Overman, Henry G., 2012. "Mostly pointless spatial econometrics," LSE Research Online Documents on Economics 43403, London School of Economics and Political Science, LSE Library.
    7. Chakir, Raja & Le Gallo, Julie, 2013. "Predicting land use allocation in France: A spatial panel data analysis," Ecological Economics, Elsevier, vol. 92(C), pages 114-125.
    8. Mesbah Motamed & Lihong McPhail & Ryan Williams, 2016. "Corn Area Response to Local Ethanol Markets in the United States: A Grid Cell Level Analysis," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 98(3), pages 726-743.
    9. Carl Gaigné & Julie Le Gallo & Solène Larue & Bertrand Schmitt, 2012. "Does Regulation of Manure Land Application Work Against Agglomeration Economies? Theory and Evidence from the French Hog Sector," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 94(1), pages 116-132.
    10. JunJie Wu & Kathleen Segerson, 1995. "The Impact of Policies and Land Characteristics on Potential Groundwater Pollution in Wisconsin," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 77(4), pages 1033-1047.
    11. Karine Daniel, 2005. "Éléments sur la géographie de l'agriculture aux États-Unis et dans l'Union Européenne : les productions agricoles se concentrent-elles ?," Revue d'économie régionale et urbaine, Armand Colin, vol. 0(4), pages 533-556.
    12. Miao, Ruiqing, 2013. "Impact of Ethanol Plants on Local Land Use Change," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 42(2), pages 1-19, August.
    13. Raja Chakir, 2009. "Spatial Downscaling of Agricultural Land-Use Data: An Econometric Approach Using Cross Entropy," Land Economics, University of Wisconsin Press, vol. 85(2), pages 238-251.
    14. Hoyt Bleakley & Jeffrey Lin, 2012. "Portage and Path Dependence," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 127(2), pages 587-644.
    15. Siti Nuryanah & Sardar M. N. Islam, 2015. "The Context of the Case Study," Palgrave Macmillan Books, in: Corporate Governance and Financial Management, chapter 5, pages 145-156, Palgrave Macmillan.
    16. Carl Gaigné & Vincent Chatellier, 2012. "Les logiques économiques de la spécialisation productive du territoire agricole français," Post-Print hal-01208828, HAL.
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