IDEAS home Printed from https://ideas.repec.org/a/ebl/ecbull/eb-23-00353.html
   My bibliography  Save this article

Impacts of pre-existing medical conditions on WTP for fortified rice in India

Author

Listed:
  • Jacob Manlove

    (Arkansas State University)

  • Adithya Gummadi

    (Arkansas State University)

Abstract

The use of food fortification to combat nutrient deficiencies has garnered popularity as it has proven to be a cost-effective strategy to combat and prevent many diseases and illnesses associated with nutrient deficiencies. This research aimed to examine the willingness to pay (WTP) of Indian consumers for fortified food products predicated on the addition of the nutrients Iron, Zinc, Folic Acid, Vitamin A, and Vitamin B. Additionally, the impact of pre-existing medical conditions on overall willingness to pay are evaluated. This study finds that Indian consumers are willing to pay more for fortified products. A pre-existing medical condition's impact was positively significant for those diagnosed with heart disease, diabetes and infertility. Based on the results and findings, this study proposes to further strengthen the understanding of food fortification and consumer's understanding of its health implications.

Suggested Citation

  • Jacob Manlove & Adithya Gummadi, 2024. "Impacts of pre-existing medical conditions on WTP for fortified rice in India," Economics Bulletin, AccessEcon, vol. 44(3), pages 804-812.
  • Handle: RePEc:ebl:ecbull:eb-23-00353
    as

    Download full text from publisher

    File URL: http://www.accessecon.com/Pubs/EB/2024/Volume44/EB-24-V44-I3-P61.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Buckell, John & White, Justin S. & Shang, Ce, 2020. "Can incentive-compatibility reduce hypothetical bias in smokers’ experimental choice behavior? A randomized discrete choice experiment," Journal of choice modelling, Elsevier, vol. 37(C).
    2. Lusk, Jayson L. & Norwood, F. Bailey, 2005. "Modeling Beef Quality Heterogeneity," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 37(3), pages 603-618, December.
    3. Daly, Andrew & Hess, Stephane & de Jong, Gerard, 2012. "Calculating errors for measures derived from choice modelling estimates," Transportation Research Part B: Methodological, Elsevier, vol. 46(2), pages 333-341.
    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. Scaccia, Luisa & Marcucci, Edoardo & Gatta, Valerio, 2023. "Prediction and confidence intervals of willingness-to-pay for mixed logit models," Transportation Research Part B: Methodological, Elsevier, vol. 167(C), pages 54-78.
    2. Printezis, Iryna & Grebitus, Carola, 2018. "Marketing Channels for Local Food," Ecological Economics, Elsevier, vol. 152(C), pages 161-171.
    3. Lavoie, Brenden & Ong, Felita & Habib, Khandker Nurul, 2024. "Relax on the way to work or work on the way to relax? Influences of vehicle interior on travel time perceptions in autonomous vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 183(C).
    4. Carson, Richard T. & Czajkowski, Mikołaj, 2019. "A new baseline model for estimating willingness to pay from discrete choice models," Journal of Environmental Economics and Management, Elsevier, vol. 95(C), pages 57-61.
    5. Tsoleridis, Panagiotis & Choudhury, Charisma F. & Hess, Stephane, 2022. "Utilising activity space concepts to sampling of alternatives for mode and destination choice modelling of discretionary activities," Journal of choice modelling, Elsevier, vol. 42(C).
    6. Isler, Cassiano Augusto & Blumenfeld, Marcelo & Caldeira, Gabriel Pereira & Roberts, Clive, 2024. "Long-Distance railway mode choice in Brazil: Evidence from a discrete choice experiment," Research in Transportation Economics, Elsevier, vol. 104(C).
    7. Brownstone, David & Fang, Hao (Audrey), 2014. "A vehicle ownership and utilization choice model with endogenous residential density," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 7(2), pages 135-151.
    8. Daly, Andrew & Dekker, Thijs & Hess, Stephane, 2016. "Dummy coding vs effects coding for categorical variables: Clarifications and extensions," Journal of choice modelling, Elsevier, vol. 21(C), pages 36-41.
    9. Aljohani, Khalid & Thompson, Russell G., 2021. "Modelling individual preferences of goods receivers for a Receiver-led delivery consolidation service," Transportation Research Part A: Policy and Practice, Elsevier, vol. 150(C), pages 74-94.
    10. Schmid, Basil & Becker, Felix & Axhausen, Kay W. & Widmer, Paul & Stein, Petra, 2023. "A simultaneous model of residential location, mobility tool ownership and mode choice using latent variables," Transportation Research Part A: Policy and Practice, Elsevier, vol. 178(C).
    11. S. Ceolotto & E. Denny, 2024. "Putting a New ‘Spin’ on Energy Information: Measuring the Impact of Reframing Energy Efficiency Information on Tumble Dryer Choices in a Multi-country Experiment," Journal of Consumer Policy, Springer, vol. 47(1), pages 51-108, March.
    12. Kassahun, Habtamu Tilahun & Nicholson, Charles F. & Jacobsen, Jette Bredahl & Steenhuis, Tammo S., 2016. "Accounting for user expectations in the valuation of reliable irrigation water access in the Ethiopian highlands," Agricultural Water Management, Elsevier, vol. 168(C), pages 45-55.
    13. Hammerle, Mara & White, Lee V. & Sturmberg, Bjorn, 2023. "Solar for renters: Investigating investor perspectives of barriers and policies," Energy Policy, Elsevier, vol. 174(C).
    14. Haque, Md Bashirul & Choudhury, Charisma & Hess, Stephane, 2020. "Understanding differences in residential location preferences between ownership and renting: A case study of London," Journal of Transport Geography, Elsevier, vol. 88(C).
    15. Tirachini, Alejandro & Hurtubia, Ricardo & Dekker, Thijs & Daziano, Ricardo A., 2017. "Estimation of crowding discomfort in public transport: Results from Santiago de Chile," Transportation Research Part A: Policy and Practice, Elsevier, vol. 103(C), pages 311-326.
    16. Karen E. Lewis & Carola Grebitus & Gregory Colson & Wuyang Hu, 2017. "German and British Consumer Willingness to Pay for Beef Labeled with Food Safety Attributes," Journal of Agricultural Economics, Wiley Blackwell, vol. 68(2), pages 451-470, June.
    17. Tsoleridis, Panagiotis & Choudhury, Charisma F. & Hess, Stephane, 2022. "Deriving transport appraisal values from emerging revealed preference data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 165(C), pages 225-245.
    18. Daziano, Ricardo A. & Achtnicht, Martin, 2014. "Accounting for uncertainty in willingness to pay for environmental benefits," Energy Economics, Elsevier, vol. 44(C), pages 166-177.
    19. Bhattacharya, Suparna & Azzam, Azzeddine M. & Mark, Darrell R., 2009. "Ethanol and Meat in the U.S.: A Multi-Market Analysis," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49371, Agricultural and Applied Economics Association.
    20. Hancock, Thomas O. & Hess, Stephane & Marley, A.A.J. & Choudhury, Charisma F., 2021. "An accumulation of preference: Two alternative dynamic models for understanding transport choices," Transportation Research Part B: Methodological, Elsevier, vol. 149(C), pages 250-282.

    More about this item

    Keywords

    fortified food products; India; willingness-to-pay; WTP;
    All these keywords.

    JEL classification:

    • O1 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development
    • D1 - Microeconomics - - Household Behavior

    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:ebl:ecbull:eb-23-00353. 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: John P. Conley (email available below). General contact details of provider: .

    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.