IDEAS home Printed from https://ideas.repec.org/p/ags/gewi11/114504.html
   My bibliography  Save this paper

Explaining The Climate-Dependent Distribution Of Crops In Space –The Example Of Corn And Corn-Cob-Mix In Baden-Württemberg

Author

Listed:
  • Lippert, Christian
  • Chatzopoulos, Thomas
  • Schmidtner, Eva
  • Aurbacher, Joachim

Abstract

This article analyses the current climate-dependent spatial distribution of corn and corn-cob-mix in Baden-Württemberg using 2007 data at the county and community level. We use OLS and spatial econometric models to estimate the effects of different climate and non-climate variables on the share of grain maize in UAA. Whereas the temperature effect is missed by means of OLS regression, the adequate spatial error model at the county level yields a highly significant positive effect of mean annual temperature. Additionally, it displays a temperature cut-off point after which corn share is less likely to rise due to temperature increase. These effects are supported by a non-spatial multinomial logit model at the community level. The latter further indicates that soil quality also plays a role. The positive effect of annual precipitation remains ambiguous.

Suggested Citation

  • Lippert, Christian & Chatzopoulos, Thomas & Schmidtner, Eva & Aurbacher, Joachim, 2011. "Explaining The Climate-Dependent Distribution Of Crops In Space –The Example Of Corn And Corn-Cob-Mix In Baden-Württemberg," 51st Annual Conference, Halle, Germany, September 28-30, 2011 114504, German Association of Agricultural Economists (GEWISOLA).
    • Handle: RePEc:ags:gewi11:114504
    DOI: 10.22004/ag.econ.114504
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/114504/files/Lippert_et_al.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.114504?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. P. Wilner Jeanty, 2010. "SPMLREG: Stata module to estimate the spatial lag, the spatial error, the spatial durbin, and the general spatial models by maximum likelihood," Statistical Software Components S457135, Boston College Department of Economics, revised 25 Dec 2013.
    2. P. Wilner Jeanty, 2010. "SPLAGVAR: Stata module to generate spatially lagged variables, construct the Moran Scatter plot, and calculate Moran's I statistics," Statistical Software Components S457112, Boston College Department of Economics, revised 09 Aug 2012.
    3. Hausman, Jerry & McFadden, Daniel, 1984. "Specification Tests for the Multinomial Logit Model," Econometrica, Econometric Society, vol. 52(5), pages 1219-1240, September.
    4. P. Wilner Jeanty, 2010. "ANKETEST: Stata module to perform diagnostic tests for spatial autocorrelation in the residuals of OLS, SAR, IV, and IV-SAR models," Statistical Software Components S457113, Boston College Department of Economics, revised 11 Mar 2010.
    5. Anselin, Luc & Bera, Anil K. & Florax, Raymond & Yoon, Mann J., 1996. "Simple diagnostic tests for spatial dependence," Regional Science and Urban Economics, Elsevier, vol. 26(1), pages 77-104, February.
    6. Mendelsohn, Robert & Nordhaus, William D & Shaw, Daigee, 1994. "The Impact of Global Warming on Agriculture: A Ricardian Analysis," American Economic Review, American Economic Association, vol. 84(4), pages 753-771, September.
    7. Gunnar Breustedt & Hendrik Habermann, 2011. "The Incidence of EU Per‐Hectare Payments on Farmland Rental Rates: A Spatial Econometric Analysis of German Farm‐Level Data," Journal of Agricultural Economics, Wiley Blackwell, vol. 62(1), pages 225-243, February.
    8. Seo, S. Niggol & Mendelsohn, Robert, 2008. "An analysis of crop choice: Adapting to climate change in South American farms," Ecological Economics, Elsevier, vol. 67(1), pages 109-116, August.
    9. P. Wilner Jeanty, 2010. "SPWMATRIX: Stata module to generate, import, and export spatial weights," Statistical Software Components S457111, Boston College Department of Economics, revised 15 Mar 2014.
    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. Lippert, C. & Chatzopoulos, T. & Schmidtner, E. & Aurbacher, J., 2012. "Explaining the climate dependent distribution of crops in space – the example of corn and corn-crob-mix in Baden- Württemberg," Proceedings “Schriften der Gesellschaft für Wirtschafts- und Sozialwissenschaften des Landbaues e.V.”, German Association of Agricultural Economists (GEWISOLA), vol. 47, March.
    2. Schmidtner, Eva & Dabbert, Stephan & Lippert, Christian, 2015. "Do Different Measurements of Soil Quality Influence the Results of a Ricardian Analysis? – A Case Study on the Effects of Climate Change on German Agriculture," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 64(02), June.
    3. Marcos Herrera Gomez, 2015. "Econometría espacial usando Stata. Breve guía aplicada para datos de corte transversal," Working Papers 13, Instituto de Estudios Laborales y del Desarrollo Económico (IELDE) - Universidad Nacional de Salta - Facultad de Ciencias Económicas, Jurídicas y Sociales.
    4. Dan Goldhaber & Lesley Lavery & Roddy Theobald, 2014. "My End of the Bargain," ILR Review, Cornell University, ILR School, vol. 67(4), pages 1274-1305, October.
    5. Seo, Niggol & Mendelsohn, Robert & Dinar, Ariel & Kurukulasuriya, Pradeep & Hassan, Rashid, 2008. "Long-term adaptation : selecting farm types across agro-ecological zones in Africa," Policy Research Working Paper Series 4602, The World Bank.
    6. Chakir, Raja & Lungarska, Anna, 2015. "Agricultural land rents in land use models: a spatial econometric analysis," 150th Seminar, October 22-23, 2015, Edinburgh, Scotland 212641, European Association of Agricultural Economists.
    7. David Maddison, 2009. "A Spatio‐temporal Model of Farmland Values," Journal of Agricultural Economics, Wiley Blackwell, vol. 60(1), pages 171-189, February.
    8. Pires, Marcel Viana & Cunha, Dênis Antônio da, 2014. "Climate Change and Adaptive Strategies in Brazil: the economic effects of genetic breeding," Revista de Economia e Sociologia Rural (RESR), Sociedade Brasileira de Economia e Sociologia Rural, vol. 52(4), January.
    9. Severen, Christopher & Costello, Christopher & Deschênes, Olivier, 2018. "A Forward-Looking Ricardian Approach: Do land markets capitalize climate change forecasts?," Journal of Environmental Economics and Management, Elsevier, vol. 89(C), pages 235-254.
    10. Patrick S. Ward & Raymond J. G. M. Florax & Alfonso Flores-Lagunes, 2014. "Climate change and agricultural productivity in Sub-Saharan Africa: a spatial sample selection model," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 41(2), pages 199-226.
    11. Wang, Teng & Yi, Fujin & Liu, Huilin & Wu, Ximing & Zhong, Funing, 2021. "Can Agricultural Mechanization Have a Mitigation Effect on China's Yield Variability?," 2021 Conference, August 17-31, 2021, Virtual 315098, International Association of Agricultural Economists.
    12. Johanna Vogel, 2012. "Agglomeration and Growth: Evidence from the Regions of Central and Eastern Europe," ERSA conference papers ersa12p1089, European Regional Science Association.
    13. Taraz, Vis, 2018. "Can farmers adapt to higher temperatures? Evidence from India," World Development, Elsevier, vol. 112(C), pages 205-219.
    14. Kualwik, Jacek, 2016. "Selected problems of farmland valuation and setting rents for its lease," Problems of Agricultural Economics / Zagadnienia Ekonomiki Rolnej 252639, Institute of Agricultural and Food Economics - National Research Institute (IAFE-NRI).
    15. 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.
    16. Monika Nováčková & Richard S. J. Tol, 2018. "Effects of sea level rise on economy of the United States," Journal of Environmental Economics and Policy, Taylor & Francis Journals, vol. 7(1), pages 85-115, January.
    17. Paul Feichtinger & Klaus Salhofer, 2016. "The Fischler Reform of the Common Agricultural Policy and Agricultural Land Prices," Land Economics, University of Wisconsin Press, vol. 92(3), pages 411-432.
    18. Isaure Delaporte & Mathilde Maurel, 2018. "Adaptation to climate change in Bangladesh," Climate Policy, Taylor & Francis Journals, vol. 18(1), pages 49-62, January.
    19. Byela Tibesigwa & Martine Visser & Jane Turpie, 2017. "Climate change and South Africa’s commercial farms: an assessment of impacts on specialised horticulture, crop, livestock and mixed farming systems," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 19(2), pages 607-636, April.
    20. Cui, Xiaomeng, 2020. "Climate change and adaptation in agriculture: Evidence from US cropping patterns," Journal of Environmental Economics and Management, Elsevier, vol. 101(C).

    More about this item

    Keywords

    Agribusiness; Crop Production/Industries;

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:ags:gewi11:114504. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/gewisea.html .

    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.