IDEAS home Printed from https://ideas.repec.org/a/ags/ajosrd/342412.html

Farmers’ prioritization of dairy development strategies in Vavuniya district, Sri Lanka

Author

Listed:
  • Raveenthiran, Kamshajini
  • Krishnapillai, Sooriyakumar
  • Sivakumar, Sivashankar

Abstract

This study examines dairy farmers’ willingness to pay (WTP) for dairy development strategies in the Vavuniya district of Sri Lanka. Yeo hundred dairy farmers from Vavuniya district were randomly selected for this study. The choice research approach was applied, and conditional logit models were developed. The results of the study show that farmers are willing to pay for all the selected development strategies. Farmers prioritize the development strategies as follows: training in silage making, morning and evening milk collection, the establishment of milk collection centres within 2 km of dairy farms, and doubling the success rate of artificial insemination. Farmers’ WTP for training in silage making is higher than their WTP for other dairy development strategies. Female farmers’ WTP for training in silage making is greater than male farmers’ WTP for the same training. Farmers' income and education level each have a positive effect on their WTP for training in silage making, and their education level positively influences their WTP for morning and evening milk collection. The results of this study will assist policymakers in developing appropriate dairy development strategies and charges for the services offered.

Suggested Citation

  • Raveenthiran, Kamshajini & Krishnapillai, Sooriyakumar & Sivakumar, Sivashankar, 2023. "Farmers’ prioritization of dairy development strategies in Vavuniya district, Sri Lanka," Asian Journal of Agriculture and Rural Development, Asian Economic and Social Society (AESS), vol. 13(03), January.
    • Handle: RePEc:ags:ajosrd:342412
    DOI: 10.22004/ag.econ.342412
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/342412/files/Farmers%E2%80%99%20prioritization%20of%20dairy%20development%20strategies%20in%20Vavuniya%20district%2C%20Sri%20Lanka.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.342412?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. John List & Craig Gallet, 2001. "What Experimental Protocol Influence Disparities Between Actual and Hypothetical Stated Values?," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 20(3), pages 241-254, November.
    2. repec:ebl:ecbull:v:3:y:2004:i:6:p:1-13 is not listed on IDEAS
    3. Matthew Quaife & Fern Terris-Prestholt & Gian Luca Di Tanna & Peter Vickerman, 2018. "How well do discrete choice experiments predict health choices? A systematic review and meta-analysis of external validity," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 19(8), pages 1053-1066, November.
    4. Joseph Little & Robert Berrens, 2004. "Explaining Disparities between Actual and Hypothetical Stated Values: Further Investigation Using Meta-Analysis," Economics Bulletin, AccessEcon, vol. 3(6), pages 1-13.
    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. Milad Haghani & Michiel C. J. Bliemer & John M. Rose & Harmen Oppewal & Emily Lancsar, 2021. "Hypothetical bias in stated choice experiments: Part I. Integrative synthesis of empirical evidence and conceptualisation of external validity," Papers 2102.02940, arXiv.org.
    2. Sooriyakumar Krishnapillai & Linoja Sajanthan & Sivashankar Sivakumar, 2023. "Households’ willingness to pay for sustainable sanitation and wastewater management in Jaffna municipal area, Sri Lanka," Journal of Environmental Studies and Sciences, Springer;Association of Environmental Studies and Sciences, vol. 13(2), pages 312-320, June.
    3. Buckell, John & Hess, Stephane, 2019. "Stubbing out hypothetical bias: improving tobacco market predictions by combining stated and revealed preference data," Journal of Health Economics, Elsevier, vol. 65(C), pages 93-102.
    4. Haghani, Milad & Bliemer, Michiel C.J. & Rose, John M. & Oppewal, Harmen & Lancsar, Emily, 2021. "Hypothetical bias in stated choice experiments: Part I. Macro-scale analysis of literature and integrative synthesis of empirical evidence from applied economics, experimental psychology and neuroimaging," Journal of choice modelling, Elsevier, vol. 41(C).
    5. Tidwell, James B. & Terris-Prestholt, Fern & Quaife, Matthew & Aunger, Robert, 2019. "Understanding demand for higher quality sanitation in peri-urban Lusaka, Zambia through stated and revealed preference analysis," Social Science & Medicine, Elsevier, vol. 232(C), pages 139-147.
    6. 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).
    7. Diriba Abdeta, 2022. "Households' willingness to pay for forest conservation in Ethiopia: A review," Journal of Forest Science, Czech Academy of Agricultural Sciences, vol. 68(11), pages 437-451.
    8. Richard C. Ready & Patricia A. Champ & Jennifer L. Lawton, 2010. "Using Respondent Uncertainty to Mitigate Hypothetical Bias in a Stated Choice Experiment," Land Economics, University of Wisconsin Press, vol. 86(2), pages 363-381.
    9. Cattaneo, Maria A. & Gschwendt, Christian & Wolter, Stefan C., 2025. "How scary is the risk of automation? Evidence from a large-scale survey experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 235(C).
    10. Stefani, Gianluca & Scarpa, Riccardo & Lombardi, Ginevra V., 2014. "An addendum to: a meta-analysis of hypothethical bias in stated preference valuation," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), vol. 3(2), pages 1-10, August.
    11. Verity Watson & Frauke Becker & Esther de Bekker‐Grob, 2017. "Discrete Choice Experiment Response Rates: A Meta‐analysis," Health Economics, John Wiley & Sons, Ltd., vol. 26(6), pages 810-817, June.
    12. Stachtiaris, Spiros & Drichoutis, Andreas & Nayga, Rodolfo & Klonaris, Stathis, 2011. "Can religious priming induce truthful preference revelation?," MPRA Paper 34433, University Library of Munich, Germany.
    13. Blomquist, Glenn C. & Coomes, Paul A. & Jepsen, Christopher & Koford, Brandon C. & Troske, Kenneth R., 2014. "Estimating the social value of higher education: willingness to pay for community and technical colleges," Journal of Benefit-Cost Analysis, Cambridge University Press, vol. 5(1), pages 3-41, January.
    14. Andor, Mark A. & Frondel, Manuel & Vance, Colin, 2016. "Germany’s Energiewende: A Tale of Increasing Costs and Decreasing Willingness-To-Pay," Ruhr Economic Papers 645, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    15. Linda Thunström, 2019. "Welfare effects of nudges: The emotional tax of calorie menu labeling," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 14(1), pages 11-25, January.
    16. White, Robin R. & Brady, Michael, 2014. "Can consumers’ willingness to pay incentivize adoption of environmental impact reducing technologies in meat animal production?," Food Policy, Elsevier, vol. 49(P1), pages 41-49.
    17. Menapace, Luisa & Raffaelli, Roberta, 2020. "Unraveling hypothetical bias in discrete choice experiments," Journal of Economic Behavior & Organization, Elsevier, vol. 176(C), pages 416-430.
    18. Johnston, Robert J., 2006. "Is hypothetical bias universal? Validating contingent valuation responses using a binding public referendum," Journal of Environmental Economics and Management, Elsevier, vol. 52(1), pages 469-481, July.
    19. Araña, Jorge E. & León, Carmelo J., 2013. "Dynamic hypothetical bias in discrete choice experiments: Evidence from measuring the impact of corporate social responsibility on consumers demand," Ecological Economics, Elsevier, vol. 87(C), pages 53-61.
    20. Bishop, Richard C., 2018. "Warm Glow, Good Feelings, and Contingent Valuation," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 43(3), September.

    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:ags:ajosrd:342412. 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/aesstea.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.