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Incorporating Technological Change in Diffusion Models

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  • Mary K. Knudson

Abstract

The theoretical and empirical implications of a static and dynamic logistic diffusion model are compared. The dynamic model relaxes some assumptions of the static model by allowing for a flexible adoption ceiling, for changes in the technology, and for disadoption. Both models were used to estimate the diffusion of semi-dwarf wheat varieties in the United States. The dynamic model provides a better fit to the data and provides additional insights into the economic determinants of adoption. In particular, the importance of technological change in other areas (here, in fertilizer) on the diffusion path of an innovation was shown.

Suggested Citation

  • Mary K. Knudson, 1991. "Incorporating Technological Change in Diffusion Models," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 73(3), pages 724-733.
  • Handle: RePEc:oup:ajagec:v:73:y:1991:i:3:p:724-733.
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    File URL: http://hdl.handle.net/10.2307/1242824
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    Cited by:

    1. Kimhi, Ayal & Rubin, Ofir D., 2006. "Assessing The Response Of Farm Households To Dairy Policy Reform In Israel," Discussion Papers 7134, Hebrew University of Jerusalem, Department of Agricultural Economics and Management.
    2. Labson, B Stephen & Gooday, Peter, 1994. "Factors influencing the diffusion of electric arc furnace steelmaking technology," MPRA Paper 70666, University Library of Munich, Germany.
    3. Putra, Ahmad Romadhoni Surya & Pedersen, Søren Marcus & Liu, Zhen, 2019. "Biogas diffusion among small scale farmers in Indonesia: An application of duration analysis," Land Use Policy, Elsevier, vol. 86(C), pages 399-405.
    4. Kinwa-Muzinga, Annie & Mazzocco, Michael A., 2000. "Preferred Price Paths Of Biotechnology-Derived Products: Time And Portfolio Affects," Transitions in Agbiotech: Economics of Strategy and Policy, June 24-25, 1999, Washington, D.C. 26031, Regional Research Project NE-165 Private Strategies, Public Policies, and Food System Performance.
    5. Anchal Arora & Sangeeta Bansal, "undated". "Diffusion of Bt Cotton in India: Impact of Seed Prices and Technological Development," Centre for International Trade and Development, Jawaharlal Nehru University, New Delhi Discussion Papers 11-01, Centre for International Trade and Development, Jawaharlal Nehru University, New Delhi, India.
    6. Sarah Wheeler & Henning Bjornlund & Martin Shanahan & Alec Zuo, 2009. "Who trades water allocations? Evidence of the characteristics of early adopters in the Goulburn–Murray Irrigation District, Australia 1998–1999*," Agricultural Economics, International Association of Agricultural Economists, vol. 40(6), pages 631-643, November.
    7. P. W. Heisey & K. A. Tetlay & Z. Ahmad & M. Ahmad, 1993. "Varietal Change In Post‐Green Revolution Agriculture: Empirical Evidence For Wheat In Pakistan," Journal of Agricultural Economics, Wiley Blackwell, vol. 44(3), pages 428-442, September.
    8. John C. Bernard & John D. Pesek, Jr. & Chunbo Fan, 2004. "Delaware farmers' adoption of GE soybeans in a time of uncertain U.S. adoption," Agribusiness, John Wiley & Sons, Ltd., vol. 20(1), pages 81-94.
    9. Rubas, Debra J. & Mjelde, James W. & Love, H. Alan, 2003. "Wheat Trade And The Adoption Of Enso-Based Forecasts: Different Scenarios," 2003 Annual meeting, July 27-30, Montreal, Canada 22160, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    10. Mohammad Torshizi & Richard Gray, 2022. "Adaptability and variety adoption: Implications for plant breeding policy in a changing climate," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 66(4), pages 842-859, October.
    11. Anderson, Jock R., 1993. "The Economics of New Technology Adaptation and Adoption," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 61(02-2), pages 1-9, August.
    12. Pulkki-Brännström, Anni-Maria & Stoneman, Paul, 2013. "On the patterns and determinants of the global diffusion of new technologies," Research Policy, Elsevier, vol. 42(10), pages 1768-1779.

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