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Cost Efficiency and Farm Self-selection in Precision Farming: The Case of Czech Wheat Production

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  • Curtiss, Jarmila
  • Jelinek, Ladislav

Abstract

This paper examines allocative and cost efficiency implications of adopting variable-rate fertiliser application using survey data from Czech wheat farms. Data Envelopment Analysis delivered higher efficiency scores for precision farming (PF) adopters. Correcting for selection bias using a one-step endogenous switching regression reveals that farms displaying a lower cost efficiency score are less likely to adopt PF technology. Nonadopters switching to PF technology would likely be affected by a significant decrease in cost efficiency given their production conditions and/or managerial and technical skills. In line with this, results indicate that human capital and farm size increase the likelihood of PF adoption. Cost (allocative efficiency) implications of PF-related changes in input structure only, on the other hand, are not found to have an impact on the choice of technology. A positive allocative efficiency effect of PF technology is brought about mainly by a farm's ability to better extrapolate the soil's productive potential, which is insufficiently reflected in the land rental prices. The allocative as well as cost efficiency implications of PF technology are further related to technology-specific responses to various farm characteristics and technological practices. PF technology makes farms' efficiency more responsive to production conditions, farm specialisation, legal form and other technological practices. The overall efficiency effect the PF practices is, therefore, conditioned on farm characteristics.

Suggested Citation

  • Curtiss, Jarmila & Jelinek, Ladislav, 2012. "Cost Efficiency and Farm Self-selection in Precision Farming: The Case of Czech Wheat Production," 131st Seminar, September 18-19, 2012, Prague, Czech Republic 135784, European Association of Agricultural Economists.
  • Handle: RePEc:ags:eaa131:135784
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    File URL: http://purl.umn.edu/135784
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    References listed on IDEAS

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    1. Curtiss, Jarmila & Ratinger, Tomáš & Medonos, Tomáš, 2012. "Ownership and Investment Behaviour in Transition Countries: A Case Study of Collective and Corporate Farms in the Czech Republic," Factor Markets Working Papers 121, Centre for European Policy Studies.
    2. Paxton, Kenneth W. & Mishra, Ashok K. & Chintawar, Sachin & Roberts, Roland K. & Larson, James A. & English, Burton C. & Lambert, Dayton M. & Marra, Michele C. & Larkin, Sherry L. & Reeves, Jeanne M. , 2011. "Intensity of Precision Agriculture Technology Adoption by Cotton Producers," Agricultural and Resource Economics Review, Cambridge University Press, vol. 40(01), pages 133-144, April.
    3. Roberts, Roland K. & English, Burton C. & Mahajanashetti, S.B., 2000. "Evaluating The Returns To Variable Rate Nitrogen Application," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 32(01), April.
    4. Madhu Khanna, 2001. "Sequential Adoption of Site-Specific Technologies and its Implications for Nitrogen Productivity: A Double Selectivity Model," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(1), pages 35-51.
    5. Fernandez-Cornejo, Jorge, 1996. "The Microeconomic Impact of IPM Adoption: Theory and Application," Agricultural and Resource Economics Review, Cambridge University Press, vol. 25(02), pages 149-160, October.
    6. Tozer, Peter R., 2009. "Uncertainty and investment in precision agriculture - Is it worth the money?," Agricultural Systems, Elsevier, vol. 100(1-3), pages 80-87, April.
    7. Luc Anselin & Rodolfo Bongiovanni & Jess Lowenberg-DeBoer, 2004. "A Spatial Econometric Approach to the Economics of Site-Specific Nitrogen Management in Corn Production," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(3), pages 675-687.
    8. Michael Lokshin & Zurab Sajaia, 2004. "Maximum likelihood estimation of endogenous switching regression models," Stata Journal, StataCorp LP, vol. 4(3), pages 282-289, September.
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    Cited by:

    1. Cechura, Lukas & Hockmann, Heinrich & Mala, Zdenka & Maly, Michal, 2014. "Productivity And Efficiency Differences Between Czech And Slovak Milk Producers," Review of Agricultural and Applied Economics (RAAE), Faculty of Economics and Management, Slovak Agricultural University in Nitra Provider-Homepage: http://www.roaae.org;Association of Agricultural Economists in Slovakia (APES), vol. 17(2).

    More about this item

    Keywords

    Precision farming; cost efficiency; technical efficiency; allocative efficiency; Czech agriculture; endogenous switching regression; Agribusiness; Agricultural and Food Policy;

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