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Some Guiding Principles for Empirical Production Research in Agriculture

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  • Just, Richard E.

Abstract

Constraints on production economic research are examined in three dimensions: problem focus, methodology, and data availability. Data availability has played a large role in the choice of problem focus and explains some misdirected focus. A proprosal is made to address the data availability constraint. The greatest self-imposed constraints are methodological. Production economics has focused on flexible representations of technology at the expense of specificity in preferences. Yet some of the major problems faced by decision makers relate to long-term problems, e.g., the commodity boom and ensuing debt crisis of the 1970s and 1980s where standard short-term profit maximization models are unlikely to capture the essence of decision maker concerns.

Suggested Citation

  • Just, Richard E., 2000. "Some Guiding Principles for Empirical Production Research in Agriculture," Agricultural and Resource Economics Review, Cambridge University Press, vol. 29(2), pages 138-158, October.
    • Handle: RePEc:cup:agrerw:v:29:y:2000:i:02:p:138-158_00
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    Cited by:

    1. Boussios, David & Barkley, Andrew, 2014. "Producer Expectations and the Extensive Margin in Grain Supply Response," Agricultural and Resource Economics Review, Cambridge University Press, vol. 43(3), pages 335-356, December.
    2. Aude Ridier & Caroline Roussy & Karim Chaib, 2021. "Adoption of crop diversification by specialized grain farmers in south-western France: evidence from a choice-modelling experiment," Review of Agricultural, Food and Environmental Studies, Springer, vol. 102(3), pages 265-283, September.
    3. Chakir, Raja & Hardelin, Julien, 2011. "Hail Insurance and Pesticide use in French agriculture: an empirical analysis of multiple risks management," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114312, European Association of Agricultural Economists.
    4. Raja Chakir & Julien Hardelin, 2010. "Crop Insurance and Pesticides in French agriculture: an empirical analysis of multiple risks management," Working Papers 2010/04, INRA, Economie Publique.
    5. Regier, Gregory K & Dalton, Timothy J, 2014. "Labour savings of Roundup Ready maize: Impact on cost and input substitution for South African smallholders," African Journal of Agricultural and Resource Economics, African Association of Agricultural Economists, vol. 9(3), pages 1-14, August.
    6. Chakir, Raja & Hardelin, Julien, 2014. "Crop Insurance and pesticide use in French agriculture: an empirical analysis," Revue d'Etudes en Agriculture et Environnement, Editions NecPlus, vol. 95(01), pages 25-50, March.
    7. 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.
    8. Van Dusen, M. Eric, 2000. "In Situ Conservation Of Crop Genetic Resources In The Mexican Milpa System," Dissertations 11941, University of California, Davis, Department of Agricultural and Resource Economics.
    9. Abler, David G. & Shortle, James S. & Carmichael, Jeffrey J. & Horan, Richard D., 2001. "Climate Change, Agriculture, And Water Quality In The Chesapeake Bay Region," 2001 Annual meeting, August 5-8, Chicago, IL 20504, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    10. Wade, Tara & Kurkalova, Lyubov & Secchi, Silvia, 2016. "Modeling Field-Level Conservation Tillage Adoption with Aggregate Choice Data," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 41(2), May.
    11. Carlo Fezzi & Ian Bateman & Tom Askew & Paul Munday & Unai Pascual & Antara Sen & Amii Harwood, 2014. "Valuing Provisioning Ecosystem Services in Agriculture: The Impact of Climate Change on Food Production in the United Kingdom," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 57(2), pages 197-214, February.
    12. Just, Richard E., 2003. "Risk research in agricultural economics: opportunities and challenges for the next twenty-five years," Agricultural Systems, Elsevier, vol. 75(2-3), pages 123-159.
    13. DePaula, Guilherme M., "undated". "Relational Contracts, Technology Adoption, and the Agricultural Supply Response Function," 2018 Annual Meeting, August 5-7, Washington, D.C. 274383, Agricultural and Applied Economics Association.
    14. Boussios, David & Barkley, Andrew P., 2012. "Kansas Grain Supply Response to Economic and Biophysical Factors, 1977-2007," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124385, Agricultural and Applied Economics Association.
    15. Lien, Gudbrand D. & Kumbhakar, Subal C. & Hardaker, J. Brian, 2008. "Determinants Of Part-Time Farming And Its Effect On Farm Productivity And Efficiency," 107th Seminar, January 30-February 1, 2008, Sevilla, Spain 6701, European Association of Agricultural Economists.
    16. Fezzi, Carlo & Bateman, Ian J., 2009. "Structural Agricultural Land Use Modelling," 2009 Conference, August 16-22, 2009, Beijing, China 51423, International Association of Agricultural Economists.
    17. Thiam, Abdourahmane & Bravo-Ureta, Boris E. & Rivas, Teodoro E., 2001. "Technical efficiency in developing country agriculture: a meta-analysis," Agricultural Economics, Blackwell, vol. 25(2-3), pages 235-243, September.

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