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Demand for Private Marketing Expertise by Organic Farmers: A Quantile Analysis Based on Counts

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  • Lohr, Luanne
  • Park, Timothy A.

Abstract

We study the demand by organic farmers for technical advice using a quantile regression for the demand of organic farmers for consultations with private information providers. There is substantial heterogeneity in the impact of critical explanatory variables on consultations of organic farmer. Larger farm size has a positive effect on contacts, but the effect is absent for the highest number of consultations. Internet use has a positive marginal effect on visits to private information providers across each quantile, suggesting that expanded efforts to deliver programs through web-based resources are a useful investment for information providers.

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Bibliographic Info

Article provided by Southern Agricultural Economics Association in its journal Journal of Agricultural and Applied Economics.

Volume (Year): 44 (2012)
Issue (Month): 02 (May)
Pages:

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Handle: RePEc:ags:joaaec:123784

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Related research

Keywords: organic farming; technical assistance; quantile regression model; count data; internet access; Marketing; C25; Q12; Q13; Q16;

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  1. Ariel Dinar & Giannis Karagiannis & Vangelis Tzouvelekas, 2007. "Evaluating the impact of agricultural extension on farms' performance in Crete: a nonneutral stochastic frontier approach," Agricultural Economics, International Association of Agricultural Economists, vol. 36(2), pages 135-146, 03.
  2. Alfonso Miranda, 2005. "Planned Fertility and Family Background: A Quantile Regression for Counts Analysis," Keele Economics Research Papers KERP 2005/07, Centre for Economic Research, Keele University.
  3. James C. Hanson & Richard E. Just, 2001. "The Potential for Transition to Paid Extension: Some Guiding Economic Principles," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(3), pages 777-784.
  4. Liu, Chunping & Peng, Amy, 2010. "A reinvestigation of contract duration using Quantile Regression for Counts analysis," Economics Letters, Elsevier, vol. 106(3), pages 184-187, March.
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