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On the value of innovation and extension information: SCN‐resistant soybean varieties

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  • Seungki Lee
  • GianCarlo Moschini

Abstract

This paper presents direct evidence on the impact of a specific extension program that is aimed at promoting the adoption of varieties resistant to the soybean cyst nematode (SCN), specifically the Iowa State University SCN‐Resistant Soybean Variety Trials. We use two data sources: experimental data from these variety trials and a rich proprietary dataset on farmers’ seed purchases. Combining these data, we estimate the value of soybean cyst nematode‐resistant variety availability, and the associated variety trials that provide information on their performance to farmers and seed companies. Given the scope and diffusion of this extension program, the focus of the analysis is on Iowa and northern Illinois over the period 2011–2016. Farmers’ seed choices are modeled in a discrete choice framework, specifically a one‐level nested logit model. Using the estimated demand model, we find farmers’ marginal willingness to pay for soybean cyst nematode‐resistant varieties, and for related extension information provided by the Iowa State University SCN‐Resistant Soybean Variety Trials program, to be large. These results are confirmed by counterfactual analyses showing that, over the six‐year period and region of the study, the total ex post welfare change associated with the existence of, and information about, SCN‐resistant seeds is about $478 million. About one‐third of this surplus is captured by seed suppliers, and two‐thirds accrues to farmers.

Suggested Citation

  • Seungki Lee & GianCarlo Moschini, 2022. "On the value of innovation and extension information: SCN‐resistant soybean varieties," American Journal of Agricultural Economics, John Wiley & Sons, vol. 104(4), pages 1177-1202, August.
  • Handle: RePEc:wly:ajagec:v:104:y:2022:i:4:p:1177-1202
    DOI: 10.1111/ajae.12283
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    as
    1. Jonas Björnerstedt & Frank Verboven, 2016. "Does Merger Simulation Work? Evidence from the Swedish Analgesics Market," American Economic Journal: Applied Economics, American Economic Association, vol. 8(3), pages 125-164, July.
    2. Sanderson, Eleanor & Windmeijer, Frank, 2016. "A weak instrument F-test in linear IV models with multiple endogenous variables," Journal of Econometrics, Elsevier, vol. 190(2), pages 212-221.
    3. Magnier, Alexandre & Kalaitzandonakes, Nicholas G. & Miller, Douglas J., 2010. "Product Life Cycles and Innovation in the US Seed Corn Industry," 2010 Annual Meeting, July 25-27, 2010, Denver, Colorado 61779, Agricultural and Applied Economics Association.
    4. Ariel Pakes, 2003. "A Reconsideration of Hedonic Price Indexes with an Application to PC's," American Economic Review, American Economic Association, vol. 93(5), pages 1578-1596, December.
    5. Steven T. Berry, 1994. "Estimating Discrete-Choice Models of Product Differentiation," RAND Journal of Economics, The RAND Corporation, vol. 25(2), pages 242-262, Summer.
    6. Jean-Francois Houde, 2012. "Spatial Differentiation and Vertical Mergers in Retail Markets for Gasoline," American Economic Review, American Economic Association, vol. 102(5), pages 2147-2182, August.
    7. 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.
    8. Xingliang Ma & Guanming Shi, 2015. "A dynamic adoption model with Bayesian learning: an application to U.S. soybean farmers," Agricultural Economics, International Association of Agricultural Economists, vol. 46(1), pages 25-38, January.
    9. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555.
    10. Cardell, N. Scott, 1997. "Variance Components Structures for the Extreme-Value and Logistic Distributions with Application to Models of Heterogeneity," Econometric Theory, Cambridge University Press, vol. 13(2), pages 185-213, April.
    11. Alessandro Maffioli & Diego Ubfal & Gonzalo Vázquez Baré & Pedro Cerdán‐Infantes, 2011. "Extension services, product quality and yields: the case of grapes in Argentina," Agricultural Economics, International Association of Agricultural Economists, vol. 42(6), pages 727-734, November.
    12. Ananda Y Bandara & Dilooshi K Weerasooriya & Carl A Bradley & Tom W Allen & Paul D Esker, 2020. "Dissecting the economic impact of soybean diseases in the United States over two decades," PLOS ONE, Public Library of Science, vol. 15(4), pages 1-28, April.
    13. repec:bla:jindec:v:50:y:2002:i:3:p:237-63 is not listed on IDEAS
    14. Ho, Daniel E. & Imai, Kosuke, 2006. "Randomization Inference With Natural Experiments: An Analysis of Ballot Effects in the 2003 California Recall Election," Journal of the American Statistical Association, American Statistical Association, vol. 101, pages 888-900, September.
    15. Federico Ciliberto & GianCarlo Moschini & Edward D. Perry, 2019. "Valuing product innovation: genetically engineered varieties in US corn and soybeans," RAND Journal of Economics, RAND Corporation, vol. 50(3), pages 615-644, September.
    16. Yu Jin & Wallace E. Huffman, 2016. "Measuring public agricultural research and extension and estimating their impacts on agricultural productivity: new insights from U.S. evidence," Agricultural Economics, International Association of Agricultural Economists, vol. 47(1), pages 15-31, January.
    17. Genius, Margarita & Koundouri, Phoebe & Nauges, Celine & Tzouvelekas, Vangelis, 2013. "Information Spillovers in Irrigation Technology Diffusion: Social Learning, Extension Visits and Spatial Effects," MPRA Paper 122342, University Library of Munich, Germany.
    18. Amil Petrin, 2002. "Quantifying the Benefits of New Products: The Case of the Minivan," Journal of Political Economy, University of Chicago Press, vol. 110(4), pages 705-729, August.
    19. Margarita Genius & Phoebe Koundouri & Céline Nauges & Vangelis Tzouvelekas, 2014. "Information Transmission in Irrigation Technology Adoption and Diffusion: Social Learning, Extension Services, and Spatial Effects," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 96(1), pages 328-344.
    20. Yonghong An & Wei Zhao, 2019. "Dynamic efficiencies of the 1997 Boeing‐McDonnell Douglas merger," RAND Journal of Economics, RAND Corporation, vol. 50(3), pages 666-694, September.
    21. Jerry A Hausman & Gregory K Leonard, 2002. "The Competitive Effects of a New Product Introduction: A Case Study," Journal of Industrial Economics, Wiley Blackwell, vol. 50(3), pages 237-263, September.
    22. Bresnahan, Timothy F, 1987. "Competition and Collusion in the American Automobile Industry: The 1955 Price War," Journal of Industrial Economics, Wiley Blackwell, vol. 35(4), pages 457-482, June.
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    2. Ye, Ziwei & Krupke, Christian & DiFonzo, Christina & Hennessy, David A. & Wu, Felicia, 2022. "Aligning Bt Maize Planting with Pest Incidence and Efficacy Erosion Risk Suggests the Need for Paradigm Shifts," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322082, Agricultural and Applied Economics Association.

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