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Price‐endogenous technology, producer welfare, and ex ante impact assessment: The case of industrial hemp

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  • Seojin Cho
  • John M. Antle

Abstract

The emerging hemp industry is an example of an important class of agricultural products where the market extent is limited, in hemp's case by laws and regulations, causing technology adoption to interact through prices with market‐level equilibrium. In this paper, we show that the equilibrium adoption rate and producer welfare impact of new technology, such as improved hemp genetics and management, are determined by the interaction between market prices and the spatial distribution of returns of both current and new technologies in the farm population. Price changes affect adoption and welfare through shifts in both the location (mean) and dispersion (variance and higher moments) of the spatial distribution of gains to the new technology. We show that an output price change may either increase or decrease the adoption rate of a new technology and in turn impact the elasticity of the market supply function. Additionally, we derive market‐equilibrium measures of welfare change for both adopters and non‐adopters and show how these welfare measures are affected by the spatial distribution of returns to a new technology. Our finding suggests that the interplay between new technologies and price changes is likely to have empirically important effects on regional supply and farm welfare.

Suggested Citation

  • Seojin Cho & John M. Antle, 2024. "Price‐endogenous technology, producer welfare, and ex ante impact assessment: The case of industrial hemp," American Journal of Agricultural Economics, John Wiley & Sons, vol. 106(2), pages 883-903, March.
  • Handle: RePEc:wly:ajagec:v:106:y:2024:i:2:p:883-903
    DOI: 10.1111/ajae.12411
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    References listed on IDEAS

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    1. James J. Heckman, 2010. "Building Bridges between Structural and Program Evaluation Approaches to Evaluating Policy," Journal of Economic Literature, American Economic Association, vol. 48(2), pages 356-398, June.
    2. John M. Antle & Roberto O. Valdivia, 2006. "Modelling the supply of ecosystem services from agriculture: a minimum‐data approach," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 50(1), pages 1-15, March.
    3. Sherman Robinson & Hans Meijl & Dirk Willenbockel & Hugo Valin & Shinichiro Fujimori & Toshihiko Masui & Ron Sands & Marshall Wise & Katherine Calvin & Petr Havlik & Daniel Mason d'Croz & Andrzej Tabe, 2014. "Comparing supply-side specifications in models of global agriculture and the food system," Agricultural Economics, International Association of Agricultural Economists, vol. 45(1), pages 21-35, January.
    4. Nathan P. Hendricks & Aaron Smith & Daniel A. Sumner, 2014. "Crop Supply Dynamics and the Illusion of Partial Adjustment," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 96(5), pages 1469-1491.
    5. C. Richard Shumway, 1988. "Estimation of Multicrop Production Functions: Comment," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 70(3), pages 729-732.
    6. Tracy Miller & George Tolley, 1989. "Technology Adoption and Agricultural Price Policy," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 71(4), pages 847-857.
    7. Skorbiansky, Sharon Raszap & Thornsbury, Suzanne & Camp, Kevin M., 2021. "Legal Risk Exposure Heightens Uncertainty in Developing U.S. Hemp Markets," Choices: The Magazine of Food, Farm, and Resource Issues, Agricultural and Applied Economics Association, vol. 36(1), February.
    8. Ingrid Rhinehart & C. Michael Deom, 2007. "Peanut Research and Poverty Reduction: Impacts of Variety Improvement to Control Peanut Viruses in Uganda," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 89(2), pages 448-460.
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