IDEAS home Printed from https://ideas.repec.org/a/ags/ccsesa/230399.html
   My bibliography  Save this article

Consumers’ Willingness to Pay for Cassava Flour Inclusion in Bread, a Case Study of Lagos State, Nigeria

Author

Listed:
  • Erih, E. A.
  • Oni, O. A.
  • Fashogbon, A. E.

Abstract

The study was conducted to address the issue of consumers’ willingness to pay for inclusion of cassava flour in bread in Lagos State. The data were collected randomly from a sample of 300 respondents in the state through the use of a well structured questionnaire. The contingent valuation method was adopted to estimate both the mean willingness to pay of consumers and the factors that affect their willingness to pay and these were analyzed using the bivariate probit model. The most significant model was the 10percent cassava flour inclusion as it has the highest number of significant variables (eight) followed by 20percent cassava flour inclusion with seven significant variables and 30 and 40percent cassava flour inclusion with six significant variables each. The factors that influenced consumers’ willingness to pay for CCW bread were the respondent’s age, gender, respondents’ awareness, married respondents, respondents with head position,and bread share which is the proportion of respondents income spent on bread to total income. The mean willingness to pay for bread with an inclusion of cassava flour at 10, 20, 30, and 40percent cassava flour inclusion were ?172.70, ?165.00, ?154.07, and ?142.78 respectively for initial bid while the mean willingness-to-pay at 10, 20, 30, and 40percent cassava flour inclusion were ?180.20, ?150.41, ?143.35, and ?127.36 respectively for subsequent bid. Arising from the result of this study, birth control policies were recommended among respondents in the study area.

Suggested Citation

  • Erih, E. A. & Oni, O. A. & Fashogbon, A. E., 2015. "Consumers’ Willingness to Pay for Cassava Flour Inclusion in Bread, a Case Study of Lagos State, Nigeria," Sustainable Agriculture Research, Canadian Center of Science and Education, vol. 4(2).
  • Handle: RePEc:ags:ccsesa:230399
    DOI: 10.22004/ag.econ.230399
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/230399/files/p92_92-103_.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.230399?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. Watson, Verity & Ryan, Mandy, 2007. "Exploring preference anomalies in double bounded contingent valuation," Journal of Health Economics, Elsevier, vol. 26(3), pages 463-482, May.
    2. Adepoju, Abimbola O. & Oyewole, Olaniyi O., 2013. "Households’ Perception And Willingness To Pay For Bread With Cassava Flour Inclusion In Osogbo Metropolis, Osun State, Nigeria," 2013 Fourth International Conference, September 22-25, 2013, Hammamet, Tunisia 160285, African Association of Agricultural Economists (AAAE).
    3. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521747387, September.
    4. Negrín, Miguel A. & Pinilla, Jaime & León, Carmelo J., 2008. "Willingness to pay for alternative policies for patients with Alzheimer’s Disease," Health Economics, Policy and Law, Cambridge University Press, vol. 3(3), pages 257-275, July.
    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. Innocent, Kwagala, 2018. "Consumer Acceptance And Willingness To Pay For Shelf Life Extended Fresh Cassava Roots In Uganda: Case Of Kampala District," Research Theses 276439, Collaborative Masters Program in Agricultural and Applied Economics.

    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. Petrolia, Daniel & Interis, Matthew & Hwang, Joonghyun, 2015. "Single-Choice, Repeated-Choice, and Best-Worst Elicitation Formats: Do Results Differ and by How Much?," Working Papers 212479, Mississippi State University, Department of Agricultural Economics.
    2. Arne Hole & Julie Kolstad, 2012. "Mixed logit estimation of willingness to pay distributions: a comparison of models in preference and WTP space using data from a health-related choice experiment," Empirical Economics, Springer, vol. 42(2), pages 445-469, April.
    3. Landmann, D. & Feil, J.-H. & Lagerkvist, C.J. & Otter, V., 2018. "Designing capacity development activities of small-scale farmers in developing countries based on discrete choice experiments," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277738, International Association of Agricultural Economists.
    4. Villano, Renato & Chang, Hui-Shung (Christie) & Kewa, John & Irving, Donald, 2016. "Factors Affecting Consumers’ Willingness to Pay for Good Quality Sweetpotato in Papua New Guinea," Australasian Agribusiness Review, University of Melbourne, Department of Agriculture and Food Systems, vol. 24, April.
    5. Regier, Dean A. & Ryan, Mandy & Phimister, Euan & Marra, Carlo A., 2009. "Bayesian and classical estimation of mixed logit: An application to genetic testing," Journal of Health Economics, Elsevier, vol. 28(3), pages 598-610, May.
    6. Dan Yavorsky & Elisabeth Honka & Keith Chen, 2021. "Consumer search in the U.S. auto industry: The role of dealership visits," Quantitative Marketing and Economics (QME), Springer, vol. 19(1), pages 1-52, March.
    7. Zhifeng Gao & Ted C. Schroeder, 2009. "Consumer responses to new food quality information: are some consumers more sensitive than others?," Agricultural Economics, International Association of Agricultural Economists, vol. 40(3), pages 339-346, May.
    8. Cheng, Leilei & Yin, Changbin & Chien, Hsiaoping, 2015. "Demand for milk quantity and safety in urban China: evidence from Beijing and Harbin," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 59(2), April.
    9. Sebastian Heidenreich & Andrea Phillips-Beyer & Bruno Flamion & Melissa Ross & Jaein Seo & Kevin Marsh, 2021. "Benefit–Risk or Risk–Benefit Trade-Offs? Another Look at Attribute Ordering Effects in a Pilot Choice Experiment," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 14(1), pages 65-74, January.
    10. Wen, Chieh-Hua & Huang, Chia-Jung & Fu, Chiang, 2020. "Incorporating continuous representation of preferences for flight departure times into stated itinerary choice modeling," Transport Policy, Elsevier, vol. 98(C), pages 10-20.
    11. Frith, Michael J., 2019. "Modelling taste heterogeneity regarding offence location choices," Journal of choice modelling, Elsevier, vol. 33(C).
    12. Johannes Buggle & Thierry Mayer & Seyhun Orcan Sakalli & Mathias Thoenig, 2023. "The Refugee’s Dilemma: Evidence from Jewish Migration out of Nazi Germany," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 138(2), pages 1273-1345.
    13. Boneva, Teodora & Golin, Marta & Kaufmann, Katja Maria & Rauh, Christopher, 2022. "Beliefs about Maternal Labor Supply," IZA Discussion Papers 15788, Institute of Labor Economics (IZA).
    14. Rashmita Basu, 2013. "Willingness-to-pay to prevent Alzheimer’s disease: a contingent valuation approach," International Journal of Health Economics and Management, Springer, vol. 13(3), pages 233-245, December.
    15. Webb, Edward J.D. & Hess, Stephane, 2021. "Joint modelling of choice and rating data: Theory and examples," Journal of choice modelling, Elsevier, vol. 40(C).
    16. Jurgen Von Hagen & Jizhong Zhou, 2008. "The interaction between capital controls and exchange rate regimes: evidence from developing countries," International Economic Journal, Taylor & Francis Journals, vol. 22(2), pages 163-185.
    17. Christelis, Dimitris & Dobrescu, Loretti I. & Motta, Alberto, 2020. "Early life conditions and financial risk-taking in older age," The Journal of the Economics of Ageing, Elsevier, vol. 17(C).
    18. Laura-Lucia Richter & Melvyn Weeks, 2016. "Flexible Mixed Logit with Posterior Analysis: Exploring Willingness-to-Pay for Grid Resilience," Cambridge Working Papers in Economics 1631, Faculty of Economics, University of Cambridge.
    19. Javid, Roxana J. & Nejat, Ali, 2017. "A comprehensive model of regional electric vehicle adoption and penetration," Transport Policy, Elsevier, vol. 54(C), pages 30-42.
    20. Ortega, David L. & Wang, H. Holly & Wu, Laping & Hong, Soo Jeong, 2015. "Retail channel and consumer demand for food quality in China," China Economic Review, Elsevier, vol. 36(C), pages 359-366.

    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:ccsesa:230399. 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: http://www.ccsenet.org/sar .

    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.