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An empirical knowledge production function of agricultural research and extension: The case of the University of California Cooperative Extension

Diti Chatterjee, Ariel Dinar and Gloria Gonzalez-Rivera ()

Technological Forecasting and Social Change, 2018, vol. 134, issue C, 290-297

Abstract: Our study examines empirically the impact of agricultural research inputs on the creation and dissemination of knowledge by the University of California Cooperative Extension (UCCE). We formulate a conceptual framework to understand the relationship between the agricultural research inputs employed by UCCE and the knowledge shared. We develop an index of knowledge based on a weighted average of the various modes through which knowledge is produced by UCCE's agricultural research for all counties in the state of California during 2007–2013. Empirical results indicate significant positive impacts of research inputs on the production of knowledge. We find research input, such as number of research positions measured as full-time equivalent (FTE), level of salary per researcher (including seniority and status), and investment in research infrastructure per FTE, positive and significant. Our models suggest diminishing marginal knowledge returns to research infrastructure, and a linear knowledge production function with respect to the number of FTE and the salary per FTE in the UCCE system.

Keywords: Knowledge production function; Cooperative extension; Agricultural R&D; University of California Cooperative Extension (search for similar items in EconPapers)
JEL-codes: C23 Q1 Q10 Q16 (search for similar items in EconPapers)
Date: 2018
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Handle: RePEc:eee:tefoso:v:134:y:2018:i:c:p:290-297