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Measuring the Impact of Price-Induced Innovation on Technological Progress: Application to the U.S. Food Processing and Distribution Sector

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  • Pinar Celikkol
  • Spiro Stefanou

Abstract

A model of price-induced innovation is presented incorporating long-run prices as arguments in the production function serving the role of stimulating firms to seek innovations. The empirical application examines the production structure and technological progress of the U.S. food processing and distribution sector for the period 1948–1991. The empirical model separates scarcity, innovation, and exogenous technical change responses in analyzing the Morishima elasticities for input combinations and multifactor input biases. The results suggest significant structural changes occurring in the food processing and distribution sector since 1980. Focusing on multifactor input bias, results suggest that there are no wide changes in technical change patterns over the last forty years. However, Morishima elasticity results suggest a more varied pattern of technical change between inputs. The price-induced technical progress has a dominant contribution on input decisions compared with the exogenous technical change. Copyright Kluwer Academic Publishers 1999

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  • Pinar Celikkol & Spiro Stefanou, 1999. "Measuring the Impact of Price-Induced Innovation on Technological Progress: Application to the U.S. Food Processing and Distribution Sector," Journal of Productivity Analysis, Springer, vol. 12(2), pages 135-151, September.
    • Handle: RePEc:kap:jproda:v:12:y:1999:i:2:p:135-151
    DOI: 10.1023/A:1007807213843
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    1. Jean-Philippe Gervais & Olivier Bonroy & Steve Couture, 2008. "A province-level analysis of economies of scale in Canadian food processing," Agribusiness, John Wiley & Sons, Ltd., vol. 24(4), pages 538-556.
    2. Bishnu Saha & Rakhal Sarker & Verna Mitura, 2014. "Impact of Genetically Engineered Varieties on the Cost Structure of Corn and Soybean Production in Canada," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 62(2), pages 263-282, June.
    3. Catherine Morrison Paul, 2003. "Productivity and Efficiency Measurement in Our “New Economy”: Determinants, Interactions, and Policy Relevance," Journal of Productivity Analysis, Springer, vol. 19(2), pages 161-177, April.
    4. Matthew Andersen & Julian Alston & Philip Pardey, 2012. "Capital use intensity and productivity biases," Journal of Productivity Analysis, Springer, vol. 37(1), pages 59-71, February.
    5. Kumar, Surender & Managi, Shunsuke, 2010. "Sulfur dioxide allowances: Trading and technological progress," Ecological Economics, Elsevier, vol. 69(3), pages 623-631, January.
    6. Ludo Peeters & Yves Surry, 2000. "Incorporating Price-Induced Innovation in a Symmetric Generalised McFadden Cost Function with Several Outputs," Journal of Productivity Analysis, Springer, vol. 14(1), pages 53-70, July.
    7. Bezlepkina Irina, 2003. "Production Performance in Russian Regions: Farm Level Analysis," EERC Working Paper Series 01-034e, EERC Research Network, Russia and CIS.
    8. Esposti, Roberto & Pierani, Pierpaolo, 2008. "Price-induced technical progress in Italian agriculture," Review of Agricultural and Environmental Studies - Revue d'Etudes en Agriculture et Environnement (RAEStud), Institut National de la Recherche Agronomique (INRA), vol. 89(4).
    9. Pinedo, Wilman Iglesias; Fulginiti, Lilyan E.; Perrin, Richard K., 2024. "The Cost of Armed Conflict to Agriculture in Colombia," Research on World Agricultural Economy, Nan Yang Academy of Sciences Pte Ltd (NASS), vol. 5(3), September.
    10. Ka Kei Gary Wong & Min Qiang Zhao, 2023. "Induced innovation and its impact on productivity growth in China: a latent variable approach," Empirical Economics, Springer, vol. 65(1), pages 371-399, July.
    11. Sizhong Sun & Sajid Anwar, 2018. "Product innovation in China’s food processing industries," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 42(3), pages 492-507, July.
    12. Azzeddine Azzam & Rigoberto Lopez & Elena Lopez, 2004. "Imperfect Competition and Total Factor Productivity Growth," Journal of Productivity Analysis, Springer, vol. 22(3), pages 173-184, November.
    13. Michael Caputo & Quirino Paris, 2005. "An Atemporal Microeconomic Theory and an Empirical Test of Price-Induced Technical Progress," Journal of Productivity Analysis, Springer, vol. 24(3), pages 259-281, November.
    14. Esposti, Roberto & Pierani, Pierpaolo, 2005. "Price-Induced Technological Change in Italian Agriculture: An SGM Restricted Cost Function Approach (1951-91)," 2005 International Congress, August 23-27, 2005, Copenhagen, Denmark 24662, European Association of Agricultural Economists.
    15. Morrison Paul, Catherine J., 2000. "Productivity And Efficiency In The U.S. Food System, Or, Might Cost Factors Support Increasing Mergers And Concentration?," Working Papers 11983, University of California, Davis, Department of Agricultural and Resource Economics.
    16. Alston, Julian M. & Andersen, Matthew A. & Pardey, Philip G., 2006. "Asset Utilization and Bias in Measures of U.S. Agricultural Productivity," 2006 Annual meeting, July 23-26, Long Beach, CA 21220, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    17. K. K. Gary Wong & Belton M. Fleisher & Min Qiang Zhao & William H. McGuire, 2022. "Technical progress and induced innovation in China: a variable profit function approach," Journal of Productivity Analysis, Springer, vol. 57(2), pages 177-191, April.
    18. Bezlepkina, Irina V. & Oude Lansink, Alfons G.J.M., 2003. "Liquidity And Productivity In Russian Agriculture: Farm-Data Evidence," 2003 Annual Meeting, August 16-22, 2003, Durban, South Africa 25824, International Association of Agricultural Economists.
    19. Kumar, Surender & Managi, Shunsuke, 2009. "Energy price-induced and exogenous technological change: Assessing the economic and environmental outcomes," Resource and Energy Economics, Elsevier, vol. 31(4), pages 334-353, November.

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