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The Evolution of the California Blueberry Industry: A Social Network Analysis Approach

  • Plakias, Zoe
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    This paper uses publicly available data from the California Department of Pesticide Regulation to measure local and industry peer e ects related to the adoption of blueberries as a crop among Cal- ifornia growers between the years 2001 and 2011. Geographic and inter-industry network analyses complement the econometric estimation and provide greater insight into the patterns of peer e ects. I nd that industry peer e ects (i.e. those connections to other growers through growing crops other than blueberries) have a positive and statistically signi cant e ect on the probability of adopting blueberries. Local e ects play an important, though less consistent, role. The geographic and social network analyses corroborate these results and provide greater depth. Overall, the results suggest that both inter-industry and geographic e ects are important, and much can be learned about adoption patterns and possible avenues for learning about the crop without conducting expensive and lengthy social network studies.

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    File URL: http://purl.umn.edu/166093
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    Paper provided by Agricultural and Applied Economics Association & Canadian Agricultural Economics Society & European Association of Agricultural Economists in its series 2014 AAEA/EAAE/CAES Joint Symposium: Social Networks, Social Media and the Economics of Food, May 29-30, 2014, Montreal, Canada with number 166093.

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    Date of creation: 03 Apr 2014
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    Handle: RePEc:ags:aajs14:166093
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    1. Scott E. Carrell & Richard L. Fullerton & James E. West, 2009. "Does Your Cohort Matter? Measuring Peer Effects in College Achievement," Journal of Labor Economics, University of Chicago Press, vol. 27(3), pages 439-464, 07.
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    3. repec:att:wimass:9127 is not listed on IDEAS
    4. Giacomo De Giorgi & Michele Pellizzari & Silvia Redaelli, 2010. "Identification of Social Interactions through Partially Overlapping Peer Groups," American Economic Journal: Applied Economics, American Economic Association, vol. 2(2), pages 241-75, April.
    5. Timothy G. Conley & Christopher R. Udry, 2010. "Learning about a New Technology: Pineapple in Ghana," American Economic Review, American Economic Association, vol. 100(1), pages 35-69, March.
    6. Manski, Charles F, 1993. "Identification of Endogenous Social Effects: The Reflection Problem," Review of Economic Studies, Wiley Blackwell, vol. 60(3), pages 531-42, July.
    7. Bruce Sacerdote, 2000. "Peer Effects with Random Assignment: Results for Dartmouth Roommates," NBER Working Papers 7469, National Bureau of Economic Research, Inc.
    8. Emily Oster & Rebecca Thornton, 2009. "Determinants of Technology Adoption: Private Value and Peer Effects in Menstrual Cup Take-Up," NBER Working Papers 14828, National Bureau of Economic Research, Inc.
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