IDEAS home Printed from https://ideas.repec.org/a/ags/joaaec/47206.html
   My bibliography  Save this article

Testing Nonlinear Logit Models of Performance Effectiveness Ratings: Cooperative Extension and Organic Farmers

Author

Listed:
  • Lohr, Luanne
  • Park, Timothy A.

Abstract

Survey evidence from U.S. organic farmers is evaluated to identify the factors influencing effectiveness ratings of cooperative extension advisors by organic farmers. A nonlinear logit model is specified for the ratings provided by organic producers, and critical demographic and management factors that influence the ratings are identified. The impact of the organic farmers’ status in transitioning to organic production is highlighted. The results indicate that part-time, newer adopters of organic farming methods are more likely to rate extension service providers as effective providers of information. Scenarios to predict extension effectiveness when interacting with specific groups of organic farmers are developed.

Suggested Citation

  • Lohr, Luanne & Park, Timothy A., 2008. "Testing Nonlinear Logit Models of Performance Effectiveness Ratings: Cooperative Extension and Organic Farmers," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 40(2), pages 1-13, August.
    • Handle: RePEc:ags:joaaec:47206
    DOI: 10.22004/ag.econ.47206
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/47206/files/jaae-40-02-667.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.47206?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Lohr, Luanne & Park, Timothy A., 2002. "Choice of insect management portfolios by organic farmers: lessons and comparative analysis," Ecological Economics, Elsevier, vol. 43(1), pages 87-99, November.
    2. Hanson, James C., 1997. "Opportunities And Challenges In Cooperative Extension For Agricultural Economists," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 26(2), pages 1-10, October.
    3. Peter C. Smith & Maria Goddard, 2008. "Performance Management and Operational Research: A Marriage Made in Heaven?," Palgrave Macmillan Books, in: Richard Thorpe & Jacky Holloway (ed.), Performance Management, chapter 9, pages 120-136, Palgrave Macmillan.
    4. Steven D. Levitt, 1995. "Optimal Incentive Schemes When Only the Agents' "Best" Output Matters to the Principal," RAND Journal of Economics, The RAND Corporation, vol. 26(4), pages 744-760, Winter.
    5. George B. Frisvold & Kathleen Fernicola & Mark Langworthy, 2001. "Market Returns, Infrastructure and the Supply and Demand for Extension Services," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(3), pages 758-763.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Park, Timothy A. & Lohr, Luanne, 2007. "Performance evaluation of university extension providers: A frontier approach for ordered response data," European Journal of Operational Research, Elsevier, vol. 182(2), pages 899-910, October.
    2. Lohr, Luanne & Park, Timothy A., 2003. "Improving Extension Effectiveness for Organic Clients: Current Status and Future Directions," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 28(3), pages 1-17, December.
    3. Timothy A. Park & Luanne Lohr, 2007. "Meeting the Needs of Organic Farmers: Benchmarking Organizational Performance of University Extension," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 29(1), pages 141-155.
    4. Lohr, Luanne & Park, Timothy A., 2004. "Benchmarking Organizational Performance Of University Extension: A Stochastic Frontier Approach," Faculty Series 16721, University of Georgia, Department of Agricultural and Applied Economics.
    5. Jovanovic, Dragan, 2013. "Mergers, managerial incentives, and efficiencies," DICE Discussion Papers 88, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
    6. Eligio Malusà & Ewa M. Furmanczyk & Małgorzata Tartanus & Gerjan Brouwer & Claude-Eric Parveaud & François Warlop & Markus Kelderer & Jutta Kienzle & Evelyne Alcazar Marin & Teun Dekker & Radek Vávra , 2022. "Knowledge Networks in Organic Fruit Production across Europe: A Survey Study," Sustainability, MDPI, vol. 14(5), pages 1-17, March.
    7. Huffman, Wallace E., 1999. "Finance, Organization, and Impacts of U.S. Agricultural Research: Future Prospects," ISU General Staff Papers 199903010800001315, Iowa State University, Department of Economics.
    8. Labarthe, Pierre & Laurent, Catherine, 2013. "Privatization of agricultural extension services in the EU: Towards a lack of adequate knowledge for small-scale farms?," Food Policy, Elsevier, vol. 38(C), pages 240-252.
    9. Korir, Josphat Kiplang'at, 2016. "Factors Influencing Intensity Of Adoption Of Integrated Pest Management Package And Pesticide Misuse In The Control Of Mango Fruit Fly In Embu East Sub-County, Kenya," Research Theses 276445, Collaborative Masters Program in Agricultural and Applied Economics.
    10. Huffman, Wallace E., 1999. "New Insights on the Organization of Agricultural Research: Theory and Evidence for Western Developed Countries," ISU General Staff Papers 199907010700001319, Iowa State University, Department of Economics.
    11. Yigal Gerchak & Christian Schmid, 2022. "Principal–agent models where a principal is only affected by extreme performances," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(2), pages 468-477, March.
    12. Abhijit Sharma & Alastair Bailey & Iain Fraser, 2011. "Technology Adoption and Pest Control Strategies Among UK Cereal Farmers: Evidence from Parametric and Nonparametric Count Data Models," Journal of Agricultural Economics, Wiley Blackwell, vol. 62(1), pages 73-92, February.
    13. Scott M Gilpatric, 2009. "Risk Taking In Contests And The Role Of Carrots And Sticks," Economic Inquiry, Western Economic Association International, vol. 47(2), pages 266-277, April.
    14. Wallace E. Huffman & Richard E. Just, 2000. "Setting Efficient Incentives for Agricultural Research: Lessons from Principal-Agent Theory," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 82(4), pages 828-841.
    15. Benjamin Musah Abu & Haruna Issahaku & Paul Kwame Nkegbe, 2016. "Farmgate versus market centre sales: a multi-crop approach," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 4(1), pages 1-16, December.
    16. David Pérez-Castrillo & David Wettstein, 2012. "Innovation Contests," Working Papers 654, Barcelona School of Economics.
    17. 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.
    18. Faye, Issa & Deininger, Klaus W., 2005. "Do new delivery systems improve extension access? Evidence from rural Uganda," 2005 Annual meeting, July 24-27, Providence, RI 19405, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    19. Tom Pape, 2020. "Prioritising data items for business analytics: Framework and application to human resources," Papers 2012.13813, arXiv.org.
    20. Lim, Krisha & Wichmann, Bruno & Luckert, Martin, 2021. "Adaptation, spatial effects, and targeting: Evidence from Africa and Asia," World Development, Elsevier, vol. 139(C).

    More about this item

    Keywords

    Agribusiness; Farm Management; Productivity Analysis;
    All these keywords.

    JEL classification:

    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • Q16 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - R&D; Agricultural Technology; Biofuels; Agricultural Extension Services
    • Q01 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General - - - Sustainable Development

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:joaaec:47206. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/saeaaea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.