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Impact of Earned and Unearned Off-Farm Income on Adoption of New Technologies

  • Gedikoglu, Haluk
  • Parcell, Joe L.
Registered author(s):

    Sustainable agriculture requires farmers’ adoption of new technologies and practices that sustain the environmental quality, while providing the agricultural output. Off-farm income has been analyzed in technology adoption studies, due to its increasing share in agricultural household income. The objective of current study is to analyze the impact of earned and unearned off-farm income of both the farm operator and spouse on adoption of new technologies. The results of the current study shows that earned off-farm income positively impact adoption of capital intensive and risk technologies. However, unearned off-farm income negatively impacts adoption of new technologies.

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    File URL: http://purl.umn.edu/149702
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    Paper provided by Agricultural and Applied Economics Association in its series 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. with number 149702.

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    Date of creation: May 2013
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    Handle: RePEc:ags:aaea13:149702
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    1. Huffman, Wallace E & Lange, Mark D, 1989. "Off-Farm Work Decisions of Husbands and Wives: Joint Decision Making," The Review of Economics and Statistics, MIT Press, vol. 71(3), pages 471-80, August.
    2. Khanna, Madhu, 1999. "Sequential Adoption Of Site-Specific Technologies And Its Implications For Nitrogen Productivity: A Double Selectivity Model," 1999 Annual meeting, August 8-11, Nashville, TN 21599, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    3. Huffman, Wallace, 1980. "Farm and Off-Farm Work Decisions: The Role of Human Capital," Staff General Research Papers 10973, Iowa State University, Department of Economics.
    4. Gedikoglu, Haluk & McCann, Laura M.J. & Artz, Georgeanne M., 2011. "Off-Farm Employment Effects on Adoption of Nutrient Management Practices," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 40(2), August.
    5. Hua, Wei & Zulauf, Carl R. & Sohngen, Brent, 2004. "To Adopt Or Not To Adopt: Conservation Decisions And Participation In Watershed Groups," 2004 Annual meeting, August 1-4, Denver, CO 20076, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    6. Mark Huisman, 2000. "Imputation of Missing Item Responses: Some Simple Techniques," Quality & Quantity: International Journal of Methodology, Springer, vol. 34(4), pages 331-351, November.
    7. Matin Qaim & Alain de Janvry, 2003. "Genetically Modified Crops, Corporate Pricing Strategies, and Farmers' Adoption: The Case of Bt Cotton in Argentina," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 85(4), pages 814-828.
    8. Meredith J. Soule & Abebayehu Tegene & Keith D. Wiebe, 2000. "Land Tenure and the Adoption of Conservation Practices," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 82(4), pages 993-1005.
    9. Jeffrey H. Dorfman, 1996. "Modeling Multiple Adoption Decisions in a Joint Framework," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 78(3), pages 547-557.
    10. Feder, Gershon & Just, Richard E & Zilberman, David, 1985. "Adoption of Agricultural Innovations in Developing Countries: A Survey," Economic Development and Cultural Change, University of Chicago Press, vol. 33(2), pages 255-98, January.
    11. Awudu Abdulai & Wallace E. Huffman, 2005. "The Diffusion of New Agricultural Technologies: The Case of Crossbred-Cow Technology in Tanzania," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(3), pages 645-659.
    12. Aillery, Marcel P. & Gollehon, Noel R. & Johansson, Robert C. & Kaplan, Jonathan D. & Key, Nigel D. & Ribaudo, Marc, 2005. "Managing Manure To Improve Air And Water Quality," Economic Research Report 33593, United States Department of Agriculture, Economic Research Service.
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