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Farmer Efficiency And Technology Use With Age

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  • Tauer, Loren W.
  • Lordkipanidze, Nazibrola

Abstract

Productivity of U.S. farmers by age is measured by non-parametric programming using 1992 Census data, decomposed into efficiency and technology Malmquist index components. Productivity increases slightly with age and then decreases. In most states productivity variations are from technology use rather than efficiency differences.

Suggested Citation

  • Tauer, Loren W. & Lordkipanidze, Nazibrola, 2000. "Farmer Efficiency And Technology Use With Age," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 29(1), pages 1-8, April.
  • Handle: RePEc:ags:arerjl:31337
    DOI: 10.22004/ag.econ.31337
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    References listed on IDEAS

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    1. Caves, Douglas W & Christensen, Laurits R & Diewert, W Erwin, 1982. "The Economic Theory of Index Numbers and the Measurement of Input, Output, and Productivity," Econometrica, Econometric Society, vol. 50(6), pages 1393-1414, November.
    2. Fulginiti, Lilyan E. & Perrin, Richard K., 1997. "LDC agriculture: Nonparametric Malmquist productivity indexes," Journal of Development Economics, Elsevier, vol. 53(2), pages 373-390, August.
    3. Ray, Subhash C & Mukherjee, Kankana, 1996. "Decomposition of the Fisher Ideal Index of Productivity: A Non-parametric Dual Analysis of US Airlines Data," Economic Journal, Royal Economic Society, vol. 106(439), pages 1659-1678, November.
    4. Loren Tauer, 1995. "Age and Farmer Productivity," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 17(1), pages 63-69.
    5. repec:bla:scandj:v:94:y:1992:i:0:p:s193-205 is not listed on IDEAS
    6. Fare, Rolf & Shawna Grosskopf & Mary Norris & Zhongyang Zhang, 1994. "Productivity Growth, Technical Progress, and Efficiency Change in Industrialized Countries," American Economic Review, American Economic Association, vol. 84(1), pages 66-83, March.
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    Citations

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    Cited by:

    1. Monaco, Lourival C. & Brewer, Brady E. & Gray, Allan W., 2022. "Farm data technologies and their use by American farmers," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322454, Agricultural and Applied Economics Association.
    2. Chatterjee, Diti & Dinar, Ariel & González-Rivera, Gloria, 2019. "Impact of Agricultural Extension on Irrigated Agriculture Production and Water Use in California," Journal of the ASFMRA, American Society of Farm Managers and Rural Appraisers, vol. 2019.
    3. Ferjani, Ali, 2009. "The Relationship between Direct Payments and Efficiency on Swiss Farms," Agricultural Economics Review, Greek Association of Agricultural Economists, vol. 9(1), pages 1-10.
    4. Tauer, Loren, 2019. "Farmer productivity by age in the United States," International Journal of Agricultural Management, Institute of Agricultural Management, vol. 8(2), August.
    5. Tu, Vo Hong & Kopp, Steven W. & Trang, Nguyen Thuy & Hong, Nguyen Bich & Yabe, Mitsuyasu, 2021. "Land accumulation: An option for improving technical and environmental efficiencies of rice production in the Vietnamese Mekong Delta," Land Use Policy, Elsevier, vol. 108(C).
    6. Tauer, Loren W., 2017. "Pr - Productivity By Age Over Eight U.S. Census Years," 21st Congress, Edinburgh, Scotland, July 2-7, 2017 345783, International Farm Management Association.
    7. Yeager, Elizabeth A. & Langemeier, Michael R., 2011. "Productivity Divergence across Kansas Farms," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 40(2), pages 1-11, August.
    8. Khanal, Aditya R. & Mishra, Sachin K & Honey, Ummey, 2018. "Certified organic food production, financial performance, and farm size: An unconditional quantile regression approach," Land Use Policy, Elsevier, vol. 78(C), pages 367-376.
    9. Will Chancellor, 2023. "Exploring the relationship between information and communication technology (ICT) and productivity: Evidence from Australian farms," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 67(2), pages 285-302, April.
    10. Lohr, Luanne & Park, Timothy A., 2006. "Technical Efficiency of U. S. Organic Farmers: The Complementary Roles of Soil Management Techniques and Farm Experience," Agricultural and Resource Economics Review, Cambridge University Press, vol. 35(2), pages 327-338, October.
    11. Ondersteijn, C. J. M. & Giesen, G. W. J. & Huirne, R. B. M., 2003. "Identification of farmer characteristics and farm strategies explaining changes in environmental management and environmental and economic performance of dairy farms," Agricultural Systems, Elsevier, vol. 78(1), pages 31-55, October.
    12. Johannes I. F. Henning & Henry Jordaan, 2016. "Determinants of Financial Sustainability for Farm Credit Applications—A Delphi Study," Sustainability, MDPI, vol. 8(1), pages 1-15, January.
    13. Jacob Asravor & Francis Tsiboe & Richard K. Asravor & Alexander N. Wiredu & Manfred Zeller, 2024. "Technology and managerial performance of farm operators by age in Ghana," Journal of Productivity Analysis, Springer, vol. 61(3), pages 279-303, June.
    14. Hung-Hao Chang, 2017. "Does A Social Welfare Program Affect Farmland Use? Empirical Evidence Using Administrative Data in Taiwan," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 39(3), pages 441-457.
    15. Protopop, Iuliia & Boehlje, Michael & Stockton, Matthew & Bradley, Lubben, 2016. "The Effect of the Timing of Farm Transfer Initiation on Terminal Wealth in the Business: Simulation Model," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 236006, Agricultural and Applied Economics Association.

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