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Interregional Transfer of Agricultural Research Results: The Case of the Northeast
Published online by Cambridge University Press: 10 May 2017
Abstract
The contribution of research to agricultural production is measured by estimating a production function which includes variables to reflect conventional inputs as well as agricultural research. Conventional inputs considered are hired labor, feed and livestock, seed and fertilizer, and capital and depreciation. Investment in agricultural research and extension within the region and investment in agricultural research in other production regions of the U.S. are included in the production function. Marginal products and internal rates of return axe derived for the own region and outside-the-region investments in agricultural research.
The empirical results indicate that sane agricultural production regions have a greater capacity for exporting agricultural research results while some have a greater capacity for importing agricultural research results from other production regions. Of the ten agricultural production regions of the U.S., the Northeast had the lowest marginal product per dollar invested in agricultural research during the 1977–81 period and the lowest internal rate of return to investment in agricultural research. For the same time period the average annual spillovers from the Northeast were approximately 3.3 times as large as the average annual regional benefit and the spillovers from the Northeast were about 2.3 times as large as the spill-ins into the Northeast region. The ratio of federal to state expenditures on agricultural research in the Northeast was 1.03 and compared to a ratio of spillover's to regional benefits of 3.3 suggests that the Northeast does not fare well in terms of federal support of agricultural research benefiting other regions of the U.S.
- Type
- Invited Papers
- Information
- Journal of the Northeastern Agricultural Economics Council , Volume 12 , Issue 2 , Fall 1983 , pp. 19 - 30
- Copyright
- Copyright © Northeastern Agricultural and Resource Economics Association
Footnotes
The authors wish to thank Berrier Frye and Syu-Jyun Lyu for their assistance in assembling data and estimation.
Funding for this research was provided by CSPS, USDA through IR-6, “National and Regional Planning Evaluation, Analysis, and Coordination. “Scientific article number A-3534, contribution number 6608 of the Maryland Agricultural Experiment Station.
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