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Factors Affecting Peanut Producer Adoption of Integrated Pest Management

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  • Kevin T. McNamara
  • Michael E. Wetzstein
  • G. Keith Douce

Abstract

Despite evidence of Georgia peanut producer and environmental benefits associated with integrated pest management (IPM), producer adoption remains low. The analysis reported in this paper examines attributes associated with producers' decisions to adopt IPM practices. The logit analysis includes attributes from four categories: producer characteristics, farm structure, management practices, and institutional factors. Variables from three of the four categories were significantly associated with adoption decisions. The institutional variable, receipt of Extension materials, had the greatest association with adoption decisions. The results suggest that shifts in extension IPM education programs to non-traditional audiences and the development of educational programs targeted to specific agricultural activities and producer characteristics may increase adoption.

Suggested Citation

  • Kevin T. McNamara & Michael E. Wetzstein & G. Keith Douce, 1991. "Factors Affecting Peanut Producer Adoption of Integrated Pest Management," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 13(1), pages 129-139.
  • Handle: RePEc:oup:revage:v:13:y:1991:i:1:p:129-139.
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    File URL: http://hdl.handle.net/10.2307/1349563
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    Citations

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    Cited by:

    1. Geoffroy Enjolras & Magali Aubert, 2017. "Are EU subsidies a springboard to the reduction of pesticide use?," Post-Print hal-02048321, HAL.
    2. JunJie Wu, 2000. "Optimal weed control under static and dynamic decision rules," Agricultural Economics, International Association of Agricultural Economists, vol. 25(1), pages 119-130, June.
    3. 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.
    4. Aubert, Magali & Enjolras, Geoffroy, 2014. "Between the approved and the actual dose. A diagnosis of pesticide overdosing in French vineyards," Review of Agricultural and Environmental Studies - Revue d'Etudes en Agriculture et Environnement (RAEStud), Institut National de la Recherche Agronomique (INRA), vol. 95(3).
    5. Geoffroy Enjolras & Magali Aubert, 2015. "Do short food supply chains go hand in hand with environment-friendly practices?," Post-Print hal-02047862, HAL.
    6. Swinton, Scott M. & Day, Esther, 2000. "Economics In The Design, Assessment, Adoption, And Policy Analysis Of I.P.M," Staff Paper Series 11789, Michigan State University, Department of Agricultural, Food, and Resource Economics.
    7. L. Toma & A. P. Barnes & L.-A. Sutherland & S. Thomson & F. Burnett & K. Mathews, 2018. "Impact of information transfer on farmers’ uptake of innovative crop technologies: a structural equation model applied to survey data," The Journal of Technology Transfer, Springer, vol. 43(4), pages 864-881, August.
    8. Frisvold, George B. & Agnew, G. Ken & Baker, Paul, 2002. "Biorational Insecticide Adoption And Conventional Insecticide Use: A Simultaneous, Limited Dependent Variable Model," 2002 Annual meeting, July 28-31, Long Beach, CA 19779, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    9. Fernandez-Cornejo, Jorge, 1996. "The Microeconomic Impact Of Ipm Adoption: Theory And Application," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 25(2), pages 1-12, October.
    10. Wu, JunJie, 2001. "Optimal weed control under static and dynamic decision rules," Agricultural Economics, Blackwell, vol. 25(1), pages 119-130, June.
    11. Beckmann, Volker & Irawan, Evi & Wesseler, Justus, 2006. "The Effect of Farm Labor Organization on IPM Adoption: Empirical Evidence from Thailand," 2006 Annual Meeting, August 12-18, 2006, Queensland, Australia 25711, International Association of Agricultural Economists.
    12. Fernandez-Cornejo, Jorge, 1998. "Environmental and economic consequences of technology adoption: IPM in viticulture," Agricultural Economics, Blackwell, vol. 18(2), pages 145-155, March.
    13. Owusu, Victor & Kakraba, Isaac, 2015. "Examining Self-Selection and the Impacts of Integrated Pest Management Adoption on Yield and Gross Margin: Evidence from Ghana," 2015 Conference, August 9-14, 2015, Milan, Italy 212606, International Association of Agricultural Economists.
    14. Codron, Jean-Marie & Adanacioğlu, Hakan & Aubert, Magali & Bouhsina, Zouhair & El Mekki, Abdelkader Ait & Rousset, Sylvain & Tozanli, Selma & Yercan, Murat, 2014. "The role of market forces and food safety institutions in the adoption of sustainable farming practices: The case of the fresh tomato export sector in Morocco and Turkey," Food Policy, Elsevier, vol. 49(P1), pages 268-280.
    15. Hrubovcak, James & Vasavada, Utpal & Aldy, Joseph E., 1999. "Green Technologies for a More Sustainable Agriculture," Agricultural Information Bulletins 33721, United States Department of Agriculture, Economic Research Service.
    16. Ali, Akhter & Hussain, Imtiaz & Rahut, Dil Bahadur & Erenstein, Olaf, 2018. "Laser-land leveling adoption and its impact on water use, crop yields and household income: Empirical evidence from the rice-wheat system of Pakistan Punjab," Food Policy, Elsevier, vol. 77(C), pages 19-32.
    17. Velandia, Margarita M. & Lambert, Dayton M. & Jenkins, Amanda & Roberts, Roland K. & Larson, James A. & English, Burton C. & Martin, Steven W., 2009. "Factors Influencing Selection of Information Sources by Cotton Producers Considering Adoption of Precision Agriculture Technologies," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49326, Agricultural and Applied Economics Association.
    18. Marra, Michele & Pannell, David J. & Abadi Ghadim, Amir, 2003. "The economics of risk, uncertainty and learning in the adoption of new agricultural technologies: where are we on the learning curve?," Agricultural Systems, Elsevier, vol. 75(2-3), pages 215-234.

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