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Adoption and Extent of Adoption of Georeferenced Grid Soil Sampling Technology by Cotton Producers in the Southern US

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  • Asare, Eric
  • Segarra, Eduardo

Abstract

This study investigates the producer/farm characteristics that influence the adoption and extent of adoption of georeferenced grid soil sampling technology, using the two-part model, among cotton producers in the southern US. The extent of adoption is defined as the number of acres managed with the technology. Soil sampling is seen as the foundation of precision agriculture. The study uses a 2013 survey data on active cotton producers in 14 southern US states conducted by Cotton Incorporated. The study identified producers’ awareness of a cost-share reimbursement program, percentage of income from cotton production, the use of yield map, ownership of livestock, land acreage devoted to other crops, and cotton productions in Mississippi and Tennessee as important variables that influence the adoption and the extent of adoption of georeferenced soil sampling technology.

Suggested Citation

  • Asare, Eric & Segarra, Eduardo, 2017. "Adoption and Extent of Adoption of Georeferenced Grid Soil Sampling Technology by Cotton Producers in the Southern US," 2017 Annual Meeting, February 4-7, 2017, Mobile, Alabama 252773, Southern Agricultural Economics Association.
    • Handle: RePEc:ags:saea17:252773
    DOI: 10.22004/ag.econ.252773
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    1. “Ban” Banerjee, Swagata & Martin, Steven W. & Roberts, Roland K. & Larkin, Sherry L. & Larson, James A. & Paxton, Kenneth W. & English, Burton C. & Marra, Michele C. & Reeves, Jeanne M., 2008. "A Binary Logit Estimation of Factors Affecting Adoption of GPS Guidance Systems by Cotton Producers," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 40(1), pages 345-355, April.
    2. Stephen A. Ford & Emerson M. Babb, 1989. "Farmer sources and uses of information," Agribusiness, John Wiley & Sons, Ltd., vol. 5(5), pages 465-476.
    3. repec:cup:jagaec:v:40:y:2008:i:1:p:345-355_25 is not listed on IDEAS
    4. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    5. Lambert, Dayton M. & English, Burton & Harper, David & Larkin, Sherry L. & Laron, James & Mooney, Daniel F. & Roberts, Roland & Velandia, Margarita & Reeves, Jeanne, 2014. "Corrigendum to “Adoption and Frequency of Precision Soil Testing in Cotton Production”," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 39(2), pages 1-1.
    6. Fountas, S. & Wulfsohn, D. & Blackmore, B.S. & Jacobsen, H.L. & Pedersen, S.M., 2006. "A model of decision-making and information flows for information-intensive agriculture," Agricultural Systems, Elsevier, vol. 87(2), pages 192-210, February.
    7. Sandmo, Agnar, 1971. "On the Theory of the Competitive Firm under Price Uncertainty," American Economic Review, American Economic Association, vol. 61(1), pages 65-73, March.
    8. Richard Perrin & Don Winkelmann, 1976. "Impediments to Technical Progress on Small versus Large Farms," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 58(5), pages 888-894.
    9. McBride, William D. & Daberkow, Stan G., 2003. "Information And The Adoption Of Precision Farming Technologies," Journal of Agribusiness, Agricultural Economics Association of Georgia, vol. 21(1), pages 1-18.
    10. Lambert, Dayton M. & English, Burton C. & Harper, David C. & Larkin, Sherry L. & Larson, James A. & Mooney, Daniel F. & Roberts, Roland K. & Velandia, Margarita & Reeves, Jeanne M., 2014. "Adoption and Frequency of Precision Soil Testing in Cotton Production," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 39(1), pages 1-18, April.
    11. Feder, Gershon, 1977. "The impact of uncertainty in a class of objective functions," Journal of Economic Theory, Elsevier, vol. 16(2), pages 504-512, December.
    12. Rivers, Douglas & Vuong, Quang H., 1988. "Limited information estimators and exogeneity tests for simultaneous probit models," Journal of Econometrics, Elsevier, vol. 39(3), pages 347-366, November.
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    Cited by:

    1. Shang, Linmei & Heckelei, Thomas & Börner, Jan & Rasch, Sebastian, 2020. "Adoption and Diffusion of Digital Farming Technologies – Integrating Farm-Level Evidence and System-Level Interaction," 60th Annual Conference, Halle/ Saale, Germany, September 23-25, 2020 305586, German Association of Agricultural Economists (GEWISOLA).

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