IDEAS home Printed from https://ideas.repec.org/a/eee/soceco/v111y2024ics2214804324000648.html
   My bibliography  Save this article

Choice heuristics and livestock farmers' preference heterogeneity for Rift Valley fever vaccines in Uganda

Author

Listed:
  • Asindu, Marsy
  • Abdulai, Awudu
  • Bett, Bernard
  • Roesel, Kristina
  • Ouma, Emily

Abstract

Rapid spread and erratic outbreaks of Rift Valley fever (RVF) disease across the African continent continues to pose serious threat to animal, public health, and regional livestock trade. Failure to institute timely control measures will have serious implications on food security and livelihoods. Among existing control options for the disease, vaccines are reported to be the most cost-effective. However, no RVF vaccines are currently registered for use in Uganda. Prior to approval, reservations exist concerning the uptake of vaccines by farmers as they have to weigh in several features and associated risks before acceptance. This study utilizes data from 444 livestock farming households in Uganda to elicit farmers’ preference heterogeneity and the influence of choice heuristics on their preferences for RVF vaccines. The empirical results reveal that two livestock farmer segments exist with respect to RVF vaccine preference. The single dose vaccine attribute is the most highly valued by farmers. Further, livestock farmers’ conditional perceptions and risk attitudes play a major role in vaccine choice decisions. The paper highlights the need for careful consideration of livestock farmers’ preference heterogeneities and intrinsic motivations such as risk attitudes and conditional perceptions when designing policy instruments for the promotion of RVF vaccination programmes.

Suggested Citation

  • Asindu, Marsy & Abdulai, Awudu & Bett, Bernard & Roesel, Kristina & Ouma, Emily, 2024. "Choice heuristics and livestock farmers' preference heterogeneity for Rift Valley fever vaccines in Uganda," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 111(C).
    • Handle: RePEc:eee:soceco:v:111:y:2024:i:c:s2214804324000648
    DOI: 10.1016/j.socec.2024.102226
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S2214804324000648
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.socec.2024.102226?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
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Herbert A. Simon, 1955. "A Behavioral Model of Rational Choice," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 69(1), pages 99-118.
    2. David Hensher & William Greene, 2010. "Non-attendance and dual processing of common-metric attributes in choice analysis: a latent class specification," Empirical Economics, Springer, vol. 39(2), pages 413-426, October.
    3. Greene, William H. & Hensher, David A., 2003. "A latent class model for discrete choice analysis: contrasts with mixed logit," Transportation Research Part B: Methodological, Elsevier, vol. 37(8), pages 681-698, September.
    4. David A. Hensher, 2008. "Joint Estimation of Process and Outcome in Choice Experiments and Implications for Willingness to Pay," Journal of Transport Economics and Policy, University of Bath, vol. 42(2), pages 297-322, May.
    5. Kassie, Girma T. & Abdulai, Awudu & Haile, Aynalem & Yitayih, Mulugeta & Asnake, Woinishet & Rischkowsky, Barbara, 2023. "Understanding pastoralists’ preferences for goat traits: Application of all-levels and end-point choice experiments," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 104(C).
    6. Laura O. Taylor & Ronald G. Cummings, 1999. "Unbiased Value Estimates for Environmental Goods: A Cheap Talk Design for the Contingent Valuation Method," American Economic Review, American Economic Association, vol. 89(3), pages 649-665, June.
    7. repec:plo:pone00:0239829 is not listed on IDEAS
    8. Peter A. Diamond & Jerry A. Hausman, 1994. "Contingent Valuation: Is Some Number Better than No Number?," Journal of Economic Perspectives, American Economic Association, vol. 8(4), pages 45-64, Fall.
    9. Kelvin J. Lancaster, 1966. "A New Approach to Consumer Theory," Journal of Political Economy, University of Chicago Press, vol. 74(2), pages 132-132.
    10. Muhammad Bello & Awudu Abdulai, 2016. "Impact of Ex-Ante Hypothetical Bias Mitigation Methods on Attribute Non-Attendance in Choice Experiments," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 98(5), pages 1486-1506.
    11. William H. Greene & David A. Hensher, 2013. "Revealing additional dimensions of preference heterogeneity in a latent class mixed multinomial logit model," Applied Economics, Taylor & Francis Journals, vol. 45(14), pages 1897-1902, May.
    12. Riccardo Scarpa & Mara Thiene & David A. Hensher, 2010. "Monitoring Choice Task Attribute Attendance in Nonmarket Valuation of Multiple Park Management Services: Does It Matter?," Land Economics, University of Wisconsin Press, vol. 86(4), pages 817-839.
    13. Jaap Sok & Ivo A. van der Lans & Henk Hogeveen & Armin R. W. Elbers & Alfons G. J. M. Oude Lansink, 2018. "Farmers’ Preferences For Bluetongue Vaccination Scheme Attributes: An Integrated Choice and Latent Variable Approach," Journal of Agricultural Economics, Wiley Blackwell, vol. 69(2), pages 537-560, June.
    14. David R. Just & Richard E. Just, 2016. "Empirical Identification of Behavioral Choice Models under Risk," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 98(4), pages 1181-1194.
    15. Henry Kaiser, 1974. "An index of factorial simplicity," Psychometrika, Springer;The Psychometric Society, vol. 39(1), pages 31-36, March.
    16. Riccardo Scarpa & Raffaele Zanoli & Viola Bruschi & Simona Naspetti, 2013. "Inferred and Stated Attribute Non-attendance in Food Choice Experiments," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 95(1), pages 165-180.
    17. Stevens, T. H. & Belkner, R. & Dennis, D. & Kittredge, D. & Willis, C., 2000. "Comparison of contingent valuation and conjoint analysis in ecosystem management," Ecological Economics, Elsevier, vol. 32(1), pages 63-74, January.
    18. David Hensher & Andrew Collins & William Greene, 2013. "Accounting for attribute non-attendance and common-metric aggregation in a probabilistic decision process mixed multinomial logit model: a warning on potential confounding," Transportation, Springer, vol. 40(5), pages 1003-1020, September.
    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. Gonçalves, Tânia & Lourenço-Gomes, Lina & Pinto, Lígia M. Costa, 2022. "The role of attribute non-attendance on consumer decision-making: Theoretical insights and empirical evidence," Economic Analysis and Policy, Elsevier, vol. 76(C), pages 788-805.
    2. David Hensher, 2014. "Attribute processing as a behavioural strategy in choice making," Chapters, in: Stephane Hess & Andrew Daly (ed.), Handbook of Choice Modelling, chapter 12, pages 268-289, Edward Elgar Publishing.
    3. Yangui, A. & Akaichi, F. & Gil, J.M., 2018. "Investigating attribute non-attendance effects in conjoint analysis methods performance: Choice experiment, ranking conjoint analysis and best worst scaling," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 275989, International Association of Agricultural Economists.
    4. Chen, Xuqi & Shen, Meng & Gao, Zhifeng, "undated". "Impact of Intra-respondent Variations in Attribute Attendance on Consumer Preference in Food Choice," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258509, Agricultural and Applied Economics Association.
    5. Sandra Notaro & Maria De Salvo & Roberta Raffaelli, 2022. "Estimating Willingness to Pay for Alpine Pastures: A Discrete Choice Experiment Accounting for Attribute Non-Attendance," Sustainability, MDPI, vol. 14(7), pages 1-15, March.
    6. Contu, Davide & Strazzera, Elisabetta, 2022. "Testing for saliency-led choice behavior in discrete choice modeling: An application in the context of preferences towards nuclear energy in Italy," Journal of choice modelling, Elsevier, vol. 44(C).
    7. Richard Yao & Riccardo Scarpa & John Rose & James Turner, 2015. "Experimental Design Criteria and Their Behavioural Efficiency: An Evaluation in the Field," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 62(3), pages 433-455, November.
    8. Kemper, Nathan & Popp, Jennie & Nayga, Jr., Rodolfo M. & Bazzani, Claudia, . "A Query Approach to Modeling Attendance to Attributes in Discrete Choice Experiments," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 49(2).
    9. Chavez, Daniel E. & Palma, Marco A. & Nayga, Rodolfo M. & Mjelde, James W., 2020. "Product availability in discrete choice experiments with private goods," Journal of choice modelling, Elsevier, vol. 36(C).
    10. David Hensher & Andrew Collins & William Greene, 2013. "Accounting for attribute non-attendance and common-metric aggregation in a probabilistic decision process mixed multinomial logit model: a warning on potential confounding," Transportation, Springer, vol. 40(5), pages 1003-1020, September.
    11. Caputo, Vincenzina & Loo, Ellen J. Van & Scarpa, Riccardo & Nayga, Rodolfo M. Jr & Verbeke, Wim, 2014. "“Using Experiments to Address Attribute Non-attendance in Consumer Food Choices”," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 177173, Agricultural and Applied Economics Association.
    12. Logar, Ivana & Brouwer, Roy & Campbell, Danny, 2020. "Does attribute order influence attribute-information processing in discrete choice experiments?," Resource and Energy Economics, Elsevier, vol. 60(C).
    13. Richartz, P. Christoph & Abdulai, Awudu & Kornher, Lukas, . "Attribute Non Attendance and Consumer Preferences for Online Food Products in Germany," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 69(01).
    14. Gonçalves, Tânia & Pinto, Lígia M. Costa & Lourenço-Gomes, Lina, 2020. "Attribute non-attendance in wine choice: Contrasts between stated and inferred approaches," Economic Analysis and Policy, Elsevier, vol. 66(C), pages 262-275.
    15. Azucena Gracia & Miguel I. Gómez & Petjon Ballco, 2025. "Market Opportunities for Differentiated Locally Grown Fresh Produce: Understanding Consumer Preferences," Sustainability, MDPI, vol. 17(9), pages 1-24, April.
    16. Kemper, Nathan & Nayga, Rodolfo M. Jr. & Popp, Jennie & Bazzani, Claudia, 2016. "The Effects of Honesty Oath and Consequentiality in Choice Experiments," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235381, Agricultural and Applied Economics Association.
    17. Sebastian Heidenreich & Verity Watson & Mandy Ryan & Euan Phimister, 2018. "Decision heuristic or preference? Attribute non‐attendance in discrete choice problems," Health Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 157-171, January.
    18. Chiara Paffarini & Biancamaria Torquati & Tiziano Tempesta & Sonia Venanzi & Daniel Vecchiato, 2021. "Rural sustainability and food choice: the effect of territorial characteristics on the consumers’ preferences for organic lentils," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 9(1), pages 1-23, December.
    19. Hole, Arne Risa & Kolstad, Julie Riise & Gyrd-Hansen, Dorte, 2013. "Inferred vs. stated attribute non-attendance in choice experiments: A study of doctors’ prescription behaviour," Journal of Economic Behavior & Organization, Elsevier, vol. 96(C), pages 21-31.
    20. Campbell, Danny & Boeri, Marco & Doherty, Edel & George Hutchinson, W., 2015. "Learning, fatigue and preference formation in discrete choice experiments," Journal of Economic Behavior & Organization, Elsevier, vol. 119(C), pages 345-363.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    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:eee:soceco:v:111:y:2024:i:c:s2214804324000648. 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: http://www.elsevier.com/locate/inca/620175 .

    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.