IDEAS home Printed from https://ideas.repec.org/a/eee/beexfi/v18y2018icp18-29.html
   My bibliography  Save this article

Risk attitude effects on Global-GAP certification decisions by smallholder French bean farmers in Kenya

Author

Listed:
  • Kibet, N.
  • Obare, G.A.
  • Lagat, J.K

Abstract

Knowledge on the link between French beans farmers’ attitudes toward risks and Global-GAP compliance decisions is limited in Kenya. A social experiment (Lottery games involving real pay-offs) was implemented on 119 randomly selected farmers to solicit risk attitudes and Binary Logit Model to determine the effect of risk attitudes on compliance decisions. Majority of non-certified farmers (24 percent) were risk averse relative to certified farmers (4.3). Non-certified farmers were more averse towards losses (p=0.062|MD=0.50). Farmer’s probability weighting (p=0.046), aversion to loss (p=0.094), contract farming (p=0.000) and daily household expenditure per adult equivalent significantly and negatively affected compliance decisions while risk aversion (p=0.081), annual asset value (p=0.092) and acreage under French beans (p=0.033) significantly and positively affected compliance decisions. The results suggest that crop insurance and affordable credit is important in mitigation of potential production and marketing risks in French bean farming.

Suggested Citation

  • Kibet, N. & Obare, G.A. & Lagat, J.K, 2018. "Risk attitude effects on Global-GAP certification decisions by smallholder French bean farmers in Kenya," Journal of Behavioral and Experimental Finance, Elsevier, vol. 18(C), pages 18-29.
  • Handle: RePEc:eee:beexfi:v:18:y:2018:i:c:p:18-29
    DOI: 10.1016/j.jbef.2018.01.003
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S2214635018300224
    Download Restriction: no

    File URL: https://libkey.io/10.1016/j.jbef.2018.01.003?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
    ---><---

    References listed on IDEAS

    as
    1. John L. Dillon & Pasquale L. Scandizzo, 1978. "Risk Attitudes of Subsistence Farmers in Northeast Brazil: A Sampling Approach," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 60(3), pages 425-435.
    2. Hans P. Binswanger, 1980. "Attitudes Toward Risk: Experimental Measurement in Rural India," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 62(3), pages 395-407.
    3. Tschirley, David L. & Muendo, Kavoi Mutuku & Weber, Michael T., 2004. "Improving Kenya's Domestic Horticultural Production and Marketing System: Current Competitiveness, Forces of Change, and Challenges for the Future Volume II: Horticultural Marketing," Working Papers 202671, Egerton University, Tegemeo Institute of Agricultural Policy and Development.
    4. Michael Haigh & John List, 2005. "A simple test of expected utility theory using professional traders," Artefactual Field Experiments 00093, The Field Experiments Website.
    5. Muendo, Kavoi Mutuku & Tschirley, David L., 2004. "Improving Kenya's Domestic Horticultural Production and Marketing System: Current Competitiveness, Forces of Change, and Challenges for the Future (Volume I: Horticultural Production)," Food Security Collaborative Working Papers 55155, Michigan State University, Department of Agricultural, Food, and Resource Economics.
    6. Binswanger, Hans P, 1981. "Attitudes toward Risk: Theoretical Implications of an Experiment in Rural India," Economic Journal, Royal Economic Society, vol. 91(364), pages 867-890, December.
    7. Elaine M. Liu, 2013. "Time to Change What to Sow: Risk Preferences and Technology Adoption Decisions of Cotton Farmers in China," The Review of Economics and Statistics, MIT Press, vol. 95(4), pages 1386-1403, October.
    8. Karira, Wanderi J. & Mburu, John I. & Guthiga, Paul M., 2013. "Empirical Analysis of the Environmental Benefits of Compliance with GLOBALGAP Standards Among Smallholder Farmers in Eastern and Central Kenya: An Environmental Valuation Approach," 2013 Fourth International Conference, September 22-25, 2013, Hammamet, Tunisia 161484, African Association of Agricultural Economists (AAAE).
    9. Charles A. Holt & Susan K. Laury, 2002. "Risk Aversion and Incentive Effects," American Economic Review, American Economic Association, vol. 92(5), pages 1644-1655, December.
    10. Tomomi Tanaka & Colin F. Camerer & Quang Nguyen, 2010. "Risk and Time Preferences: Linking Experimental and Household Survey Data from Vietnam," American Economic Review, American Economic Association, vol. 100(1), pages 557-571, March.
    11. Mette Wik & Tewodros Aragie Kebede & Olvar Bergland & Stein Holden, 2004. "On the measurement of risk aversion from experimental data," Applied Economics, Taylor & Francis Journals, vol. 36(21), pages 2443-2451.
    12. Love, Abby & Magnan, Nicholas & Colson, Gregory J., 2014. "Male and Female Risk Preferences and Maize Technology Adoption in Kenya," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 170241, Agricultural and Applied Economics Association.
    13. Mahmud Yesuf & Randall A. Bluffstone, 2009. "Poverty, Risk Aversion, and Path Dependence in Low-Income Countries: Experimental Evidence from Ethiopia," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 91(4), pages 1022-1037.
    14. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    15. Svetlana Edmeades & Melinda Smale, 2006. "A trait‐based model of the potential demand for a genetically engineered food crop in a developing economy," Agricultural Economics, International Association of Agricultural Economists, vol. 35(3), pages 351-361, November.
    16. Quang Nguyen & Colin Camerer & Tomomi Tanaka, 2010. "Risk and Time Preferences Linking Experimental and Household Data from Vietnam," Post-Print halshs-00547090, HAL.
    17. Beatrice Wambui Muriithi & John Mburu & Margaret Ngigi, 2011. "Constraints and determinants of compliance with EurepGap standards: a case of smallholder french bean exporters in Kirinyaga district, Kenya," Agribusiness, John Wiley & Sons, Ltd., vol. 27(2), pages 193-204, Spring.
    18. Elaine Meichen Liu, 2008. "Time to Change What to Sow: Risk Preferences and Technology Adoption Decisions of Cotton Farmers in China," Working Papers 1064, Princeton University, Department of Economics, Industrial Relations Section..
    19. Drazen Prelec, 1998. "The Probability Weighting Function," Econometrica, Econometric Society, vol. 66(3), pages 497-528, May.
    20. John M. Antle, 1987. "Econometric Estimation of Producers' Risk Attitudes," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 69(3), pages 509-522.
    21. Phoebe Koundouri & Céline Nauges & Vangelis Tzouvelekas, 2006. "Technology Adoption under Production Uncertainty: Theory and Application to Irrigation Technology," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 88(3), pages 657-670.
    22. Ross, Nicholas & Santos, Paulo & Capon, Timothy, 2012. "Risk, ambiguity and the adoption of new technologies: experimental evidence from a developing economy," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 126492, International Association of Agricultural Economists.
    23. Kirumba, E.G. & Pinard, F., 2010. "Determinants of farmers’ compliance with coffee eco-certification standards in Mt. Kenya region," 2010 AAAE Third Conference/AEASA 48th Conference, September 19-23, 2010, Cape Town, South Africa 95970, African Association of Agricultural Economists (AAAE).
    24. Muendo, Kavoi Mutuku & Tschirley, David L., 2004. "Improving Kenya's Domestic Horticultural Production and Marketing System: Current Competitiveness, Forces of Change, and Challenges for the Future Volume I: Horticultural Production," Working Papers 202672, Egerton University, Tegemeo Institute of Agricultural Policy and Development.
    25. Nthambi, Mary & Mburu, John I. & Nyikal, Rose, 2013. "Smallholder Choice of Compliance Arrangements: The Case GlobalGAP adoption by French Bean Farmers in Kirinyaga, Mbooni and Buuri/Laikipia Districts," 2013 Fourth International Conference, September 22-25, 2013, Hammamet, Tunisia 161471, African Association of Agricultural Economists (AAAE).
    26. Edgardo Moscardi & Alain de Janvry, 1977. "Attitudes Toward Risk Among Peasants: An Econometric Approach," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 59(4), pages 710-716.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Helga Bermeo-Andrade & Andrés F. Bahamón-Monje & Renso Aragón-Calderón & Yarmel Beltrán-Vargas & Nelson Gutiérrez-Guzmán, 2020. "Is Coffee ( Coffea arabica L.) Quality Related to a Combined Farmer–Farm Profile?," Sustainability, MDPI, vol. 12(22), pages 1-14, November.
    2. Chenchen Yang & Jianhua Wang, 2019. "Evaluation of Policies on Inappropriate Treatment of Dead Hogs from the Perspective of Loss Aversion," IJERPH, MDPI, vol. 16(16), pages 1-20, August.
    3. Marcin Niemiec & Monika Komorowska & Anna Szeląg-Sikora & Jakub Sikora & Maciej Kuboń & Zofia Gródek-Szostak & Joanna Kapusta-Duch, 2019. "Risk Assessment for Social Practices in Small Vegetable farms in Poland as a Tool for the Optimization of Quality Management Systems," Sustainability, MDPI, vol. 11(14), pages 1-10, July.

    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. Tina L. Saitone & Richard J. Sexton & Benoît Malan, 2018. "Price premiums, payment delays, and default risk: understanding developing country farmers’ decisions to market through a cooperative or a private trader," Agricultural Economics, International Association of Agricultural Economists, vol. 49(3), pages 363-380, May.
    2. Hurley, Terrance M., 2010. "A review of agricultural production risk in the developing world," Working Papers 188476, HarvestChoice.
    3. de Brauw, Alan & Eozenou, Patrick, 2014. "Measuring risk attitudes among Mozambican farmers," Journal of Development Economics, Elsevier, vol. 111(C), pages 61-74.
    4. Holden , Stein, 2014. "Risky Choices of Poor People: Comparing Risk Preference Elicitation Approaches in Field Experiments," CLTS Working Papers 10/14, Norwegian University of Life Sciences, Centre for Land Tenure Studies, revised 10 Oct 2019.
    5. Freudenreich, Hanna & Musshoff, Oliver, 2022. "Experience of losses and aversion to uncertainty - experimental evidence from farmers in Mexico," Ecological Economics, Elsevier, vol. 195(C).
    6. Sophie Clot & Charlotte Y. Stanton & Marc Willinger, 2017. "Are impatient farmers more risk-averse? Evidence from a lab-in-the-field experiment in rural Uganda," Applied Economics, Taylor & Francis Journals, vol. 49(2), pages 156-169, January.
    7. Ward, Patrick S. & Singh, Vartika, 2013. "Risk and Ambiguity Preferences and the Adoption of New Agricultural Technologies: Evidence from Field Experiments in Rural India," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150794, Agricultural and Applied Economics Association.
    8. Liu, Elaine M. & Huang, JiKun, 2013. "Risk preferences and pesticide use by cotton farmers in China," Journal of Development Economics, Elsevier, vol. 103(C), pages 202-215.
    9. Kerri Brick & Martine Visser & Justine Burns, 2012. "Risk Aversion: Experimental Evidence from South African Fishing Communities," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 94(1), pages 133-152.
    10. Galarza, Francisco, 2009. "Choices under Risk in Rural Peru," MPRA Paper 17708, University Library of Munich, Germany.
    11. Annemie Maertens & A. V. Chari & David R. Just, 2014. "Why Farmers Sometimes Love Risks: Evidence from India," Economic Development and Cultural Change, University of Chicago Press, vol. 62(2), pages 239-274.
    12. Schleich, Joachim & Gassmann, Xavier & Faure, Corinne & Meissner, Thomas, 2016. "Making the implicit explicit: A look inside the implicit discount rate," Energy Policy, Elsevier, vol. 97(C), pages 321-331.
    13. Sheremenko, Ganna & Magnan, Nicholas, 2015. "Gender-specific Risk Preferences and Fertilizer Use in Kenyan Farming Households," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205766, Agricultural and Applied Economics Association.
    14. Julia Ihli, Hanna & Chiputwa, Brian & Winter, Etti & Gassner, Anja, 2022. "Risk and time preferences for participating in forest landscape restoration: The case of coffee farmers in Uganda," World Development, Elsevier, vol. 150(C).
    15. Ahsanuzzaman, & Priyo, Asad Karim Khan & Nuzhat, Kanti Ananta, 2022. "Effects of communication, group selection, and social learning on risk and ambiguity attitudes: Experimental evidence from Bangladesh," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 96(C).
    16. Alexis H. Villacis & Jeffrey R. Alwang & Victor Barrera, 2021. "Linking risk preferences and risk perceptions of climate change: A prospect theory approach," Agricultural Economics, International Association of Agricultural Economists, vol. 52(5), pages 863-877, September.
    17. Ihli, Hanna Julia & Chiputwa, Brian & Musshoff, Oliver, 2016. "Do Changing Probabilities or Payoffs in Lottery-Choice Experiments Affect Risk Preference Outcomes? Evidence from Rural Uganda," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 41(2), May.
    18. Arnaud A. Reynaud & Stéphane S. Couture, 2011. "Stability of risk preference measures: results from a field experiment on french farmers," Post-Print hal-02803766, HAL.
    19. Holden, Stein T., 2015. "Risk Preferences, Shocks and Technology Adoption: Farmers’ Responses to Drought Risk," CLTS Working Papers 3/15, Norwegian University of Life Sciences, Centre for Land Tenure Studies, revised 11 Oct 2019.
    20. Holden , Stein T. & Quiggin, John, 2015. "Climate risk and state-contingent technology adoption: The role of risk preferences and probability weighting," Working Paper Series 15-2015, Norwegian University of Life Sciences, School of Economics and Business.

    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:eee:beexfi:v:18:y:2018:i:c:p:18-29. 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: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/journal-of-behavioral-and-experimental-finance .

    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.