IDEAS home Printed from https://ideas.repec.org/p/hal/wpaper/hal-02894116.html

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
    as

    Download full text from publisher

    File URL: https://hal.inrae.fr/hal-02894116/document
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Stephen Gibbons & Henry G. Overman, 2012. "Mostly Pointless Spatial Econometrics?," Journal of Regional Science, Wiley Blackwell, vol. 52(2), pages 172-191, May.
    2. 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.
    3. 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.
    4. Nejla Ben Arfa & Carmen Rodriguez & Karine Daniel, 2009. "Dynamiques spatiales de la production agricole en France," Revue d'économie régionale et urbaine, Armand Colin, vol. 0(4), pages 807-834.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. Carl Gaigné & Vincent Chatellier, 2012. "Les logiques économiques de la spécialisation productive du territoire agricole français," Post-Print hal-01208828, HAL.
    12. 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.
    13. 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.
    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. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. CARPENTIER, Alain & GOHIN, Alexandre & SCKOKAI, Paolo & THOMAS, Alban, 2015. "Economic modelling of agricultural production: past advances and new challenges," Review of Agricultural and Environmental Studies - Revue d'Etudes en Agriculture et Environnement (RAEStud), Institut National de la Recherche Agronomique (INRA), vol. 96(01), March.
    2. Hyunseok Kim & GianCarlo Moschini, 2018. "The Dynamics of Supply: U.S. Corn and Soybeans in the Biofuel Era," Land Economics, University of Wisconsin Press, vol. 94(4), pages 593-613.
    3. Combes, Pierre-Philippe & Gobillon, Laurent, 2015. "The Empirics of Agglomeration Economies," Handbook of Regional and Urban Economics, in: Gilles Duranton & J. V. Henderson & William C. Strange (ed.), Handbook of Regional and Urban Economics, edition 1, volume 5, chapter 0, pages 247-348, Elsevier.
    4. Breinlich, Holger & Ottaviano, Gianmarco I.P. & Temple, Jonathan R.W., 2014. "Regional Growth and Regional Decline," Handbook of Economic Growth, in: Philippe Aghion & Steven Durlauf (ed.), Handbook of Economic Growth, edition 1, volume 2, chapter 4, pages 683-779, Elsevier.
    5. Lungarska, Anna & Chakir, Raja, 2018. "Climate-induced Land Use Change in France: Impacts of Agricultural Adaptation and Climate Change Mitigation," Ecological Economics, Elsevier, vol. 147(C), pages 134-154.
    6. Fertő, Imre & Csonka, Arnold, 2017. "Válság- és agglomerációs hatások a magyarországi sertéstartásban [Crisis and agglomeration in Hungary s pig production]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(2), pages 105-122.
    7. Chonabayashi, Shun, 2014. "Accounting for Land Use Adaptation to Climate Change Impacts on US Agriculture," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 170710, Agricultural and Applied Economics Association.
    8. Cobourn, Kelly M. & Ji, Xinde & Mooney, Sian & Crescenti, Neil, "undated". "Water right seniority, economic efficiency and land allocation decisions," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258271, Agricultural and Applied Economics Association.
    9. Kan, Iddo & Kimhi, Ayal & Kaminski, Jonathan, 2015. "Climate-Change Impacts on Agriculture and Food Markets: Combining a Micro-Level Structural Land-Use Model and a Market-Level Equilibrium Model," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205128, Agricultural and Applied Economics Association.
    10. Edward L. Glaeser & Sari Pekkala Kerr & William R. Kerr, 2015. "Entrepreneurship and Urban Growth: An Empirical Assessment with Historical Mines," The Review of Economics and Statistics, MIT Press, vol. 97(2), pages 498-520, May.
    11. Guilfoos, Todd, 2025. "The evolution of the value of water power during the Industrial Revolution," Explorations in Economic History, Elsevier, vol. 95(C).
    12. Gardner, Grant & Sampson, Gabriel S., . "Land Value Impacts of Ethanol Market Expansion by Irrigation Status," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 47(3).
    13. Abildtrup, Jens & Garcia, Serge & Stenger, Anne, 2013. "The effect of forest land use on the cost of drinking water supply: A spatial econometric analysis," Ecological Economics, Elsevier, vol. 92(C), pages 126-136.
    14. Si, Chengyu & Nadolnyak, Denis, "undated". "The Effects of Government Payments on Agricultural Land Use," 2018 Annual Meeting, February 2-6, 2018, Jacksonville, Florida 266628, Southern Agricultural Economics Association.
    15. Junpyo Park & John Anderson & Eric Thompson, 2019. "Land-Use, Crop Choice, and Proximity to Ethanol Plants," Land, MDPI, vol. 8(8), pages 1-14, July.
    16. Austin, K.G. & Jones, J.P.H. & Clark, C.M., 2022. "A review of domestic land use change attributable to U.S. biofuel policy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 159(C).
    17. Chengyu Si & Yanru Li & Wei Jiang, 2023. "Effect of Insurance Subsidies on Agricultural Land-Use," IJERPH, MDPI, vol. 20(2), pages 1-12, January.
    18. Cornelis Gardebroek & Jeffrey J. Reimer & Lieneke Baller, 2017. "The Impact of Biofuel Policies on Crop Acreages in Germany and France," Journal of Agricultural Economics, Wiley Blackwell, vol. 68(3), pages 839-860, September.
    19. Gouel, Christophe & LaBorde, David, "undated". "The Crucial Role of International Trade in Adaptation to Climate Change," 2017: Globalization Adrift, December 3-5, 2017, Washington, D.C. 266841, International Agricultural Trade Research Consortium.
    20. Jean-Sauveur Ay & Raja Chakir & Julie Le Gallo, 2014. "The effects of scale, space and time on the predictive accuracy of land use models," Working Papers 2014/02, INRA, Economie Publique.

    More about this item

    Keywords

    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hal:wpaper:hal-02894116. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.