IDEAS home Printed from https://ideas.repec.org/a/wly/agribz/v18y2001i1p23-36.html
   My bibliography  Save this article

Product diffusion and the demand for new food products

Author

Listed:
  • Yann Duval

    (School of Management, Asian Institute of Technology, Thailand, and Department of Agricultural Economics, Washington State University, Pullman, WA 99164)

  • Arlo Biere

    (Department of Agricultural Economics, Kansas State University,, Manhattan, KS 66506)

Abstract

This paper extends the theory of product diffusion associated with consumer demand for new products. New food products encompass both truly new branded or value-added products and nontraditional food and agricultural products introduced from another region or culture. Bass's new-product diffusion theory is integrated with economic demand models to develop simple diffusion-demand models to account, simultaneously, for the diffusion process and for the traditional effects of price and income. Models are tested using widely available aggregate trade data on nontraditional fruits consumed in Indonesia, Malaysia, Singapore, France, and England. Dynamic diffusion-demand models outperform both the standard diffusion model and the static double-log demand model-in and out of sample-and produced parameter estimates for price and income that differ from those obtained with models without a diffusion process. [Econ-Lit citations: L660, C200, C530]. © 2002 Wiley Periodicals, Inc.

Suggested Citation

  • Yann Duval & Arlo Biere, 2001. "Product diffusion and the demand for new food products," Agribusiness, John Wiley & Sons, Ltd., vol. 18(1), pages 23-36.
    • Handle: RePEc:wly:agribz:v:18:y:2001:i:1:p:23-36
    DOI: 10.1002/agr.10005
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1002/agr.10005
    File Function: Link to full text; subscription required
    Download Restriction: no
    File URL: https://libkey.io/10.1002/agr.10005?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. Marc Nerlove, 1956. "Estimates of the Elasticities of Supply of Selected Agricultural Commodities," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 38(2), pages 496-509.
    2. Vijay Mahajan & Robert A. Peterson, 1978. "Innovation Diffusion in a Dynamic Potential Adopter Population," Management Science, INFORMS, vol. 24(15), pages 1589-1597, November.
    3. Cong Tru Le & Harry M. Kaiser & William Tomek, 1998. "Export promotion and import demand for US red meat in selected Pacific Rim countries," Agribusiness, John Wiley & Sons, Ltd., vol. 14(2), pages 95-105.
    4. Marco Lippi & Lucrezia Reichlin, 1994. "Diffusion of Technical Change and the Decomposition of Output into Trend and Cycle," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 61(1), pages 19-30.
    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. Matthias Göcke & Svetlana Fedoseeva, 2016. "Optimal Monopolist Export Pricing with Dynamic Demand and Learning Curve Effects," Open Economies Review, Springer, vol. 27(3), pages 447-469, July.
    2. Linda Niehm & Keila Tyner & Mack Shelley & Margaret Fitzgerald, 2010. "Technology Adoption in Small Family-Owned Businesses: Accessibility, Perceived Advantage, and Information Technology Literacy," Journal of Family and Economic Issues, Springer, vol. 31(4), pages 498-515, December.

    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. Ndayitwayeko, W-M. & Odhiambo, M.O. & Nyangweso, P.M. & Korir, M.K., 2012. "Determinants of Beef Meat Supply in Burundi: A Vector Error Correction Model Approach Applied to structural Nerlov Paradign," 2012 Eighth AFMA Congress, November 25-29, 2012, Nairobi, Kenya 159414, African Farm Management Association (AFMA).
    2. Michelacci, Claudio & Zaffaroni, Paolo, 2000. "(Fractional) beta convergence," Journal of Monetary Economics, Elsevier, vol. 45(1), pages 129-153, February.
    3. Bill Russell & Dooruj Rambaccussing, 2019. "Breaks and the statistical process of inflation: the case of estimating the ‘modern’ long-run Phillips curve," Empirical Economics, Springer, vol. 56(5), pages 1455-1475, May.
    4. Jun Ma & Mark E. Wohar, 2013. "An Unobserved Components Model that Yields Business and Medium-Run Cycles," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 45(7), pages 1351-1373, October.
    5. Haile, M.G. & Kalkuhl, M., 2014. "Volatility in the international food markets: implications for global agricultural supply and for market and price policy," Proceedings “Schriften der Gesellschaft für Wirtschafts- und Sozialwissenschaften des Landbaues e.V.”, German Association of Agricultural Economists (GEWISOLA), vol. 49, March.
    6. Henry Kinnucan & Øystein Myrland, 2008. "On generic vs. brand promotion of farm products in foreign markets," Applied Economics, Taylor & Francis Journals, vol. 40(6), pages 673-684.
    7. Paniagua-Molina, Javier & Solís-Rivera, Luis Ricardo, 2020. "Effect of “Golden Pineapple Innovation” on Costa Rica's Pineapple Exports to U.S. Market: An Econometric Approach," International Journal of Food and Agricultural Economics (IJFAEC), Alanya Alaaddin Keykubat University, Department of Economics and Finance, vol. 8(3), July.
    8. Yeboah, Godfred & Maynard, Leigh J., 2004. "The Impact Of Bse, Fmd, And U.S. Export Promotion Expenditures On Japanese Meat Demand," 2004 Annual meeting, August 1-4, Denver, CO 19978, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    9. Russell, Bill & Chowdhury, Rosen Azad, 2013. "Estimating United States Phillips curves with expectations consistent with the statistical process of inflation," Journal of Macroeconomics, Elsevier, vol. 35(C), pages 24-38.
    10. Czyżewski Andrzej & Staniszewski Jakub, 2015. "Changes in the production factor’s structures in agriculture in the light of price adjustments. A case study of selected EU countries," Management, Sciendo, vol. 19(2), pages 136-151, December.
    11. Nelimarkka, Jaakko, 2017. "Evidence on News Shocks under Information Deficiency," MPRA Paper 80850, University Library of Munich, Germany.
    12. Lim, Jinyang & Nam, Changi & Kim, Seongcheol & Lee, Euehun & Lee, Hongkyu, 2015. "A new regional clustering approach for mobile telecommunications policy in China," Telecommunications Policy, Elsevier, vol. 39(3), pages 296-304.
    13. Kim, Namwoon & Srivastava, Rajendra K., 2007. "Modeling cross-price effects on inter-category dynamics: The case of three computing platforms," Omega, Elsevier, vol. 35(3), pages 290-301, June.
    14. Torok, Steven John, 1982. "International trade in commodities and labor: the case of the importation of Mexican agricultural labor and fresh market winter tomatoes into the US, 1964-1979," ISU General Staff Papers 198201010800008550, Iowa State University, Department of Economics.
    15. Meyer, Kevin Michael, 2017. "Three essays on environmental and resource economics," ISU General Staff Papers 201701010800006585, Iowa State University, Department of Economics.
    16. Gregory, Allan W. & Smith, Gregor W., 1996. "Measuring business cycles with business-cycle models," Journal of Economic Dynamics and Control, Elsevier, vol. 20(6-7), pages 1007-1025.
    17. Paul Beaudry & Franck Portier, 2014. "News-Driven Business Cycles: Insights and Challenges," Journal of Economic Literature, American Economic Association, vol. 52(4), pages 993-1074, December.
    18. Magrini, Emiliano & Morales-Opazo, Cristian & Balie, Jean, 2014. "Supply response along the value chain in selected SSA countries: the case of grains," 2014: Food, Resources and Conflict, December 7-9, 2014. San Diego, California 197193, International Agricultural Trade Research Consortium.
    19. Wenting Wang & Longbao Wei, 2021. "Impacts of agricultural price support policy on price variability and welfare: Evidence from China's soybean market," Agricultural Economics, International Association of Agricultural Economists, vol. 52(1), pages 3-17, January.
    20. Umanath Malaiarasan & R. Paramasivam & K. Thomas Felix & S. J. Balaji, 2020. "Simultaneous equation model for Indian sugar sector," Journal of Social and Economic Development, Springer;Institute for Social and Economic Change, vol. 22(1), pages 113-141, June.

    More about this item

    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:wly:agribz:v:18:y:2001:i:1:p:23-36. 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: Wiley Content Delivery (email available below). General contact details of provider: http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1520-6297 .

    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.