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Valuing State-Level Funding for Research: Results for Florida

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  • Moss, Charles B.

Abstract

This study analyzes the value of agricultural research to Florida by examining the effect of research spending on agricultural productivity, as measured by a total factor productivity index, and profitability, as measured by net farm income. Results suggest that research expenditures do increase agricultural productivity in the state. However, agricultural productivity does not affect net cash income. Further, the economic rents to the productivity gains do not accrue to land values. Instead, the economic value of research innovations accrues more to consumers than to producers. Thus, consumers are the ultimate beneficiaries of agricultural research in Florida, thereby justifying public funding for agricultural research.

Suggested Citation

  • Moss, Charles B., 2006. "Valuing State-Level Funding for Research: Results for Florida," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 38(1), pages 169-183, April.
  • Handle: RePEc:cup:jagaec:v:38:y:2006:i:01:p:169-183_02
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    1. Scheffman, David T & Spiller, Pablo T, 1987. "Geographic Market Definition under the U.S. Department of Justice Merger Guidelines," Journal of Law and Economics, University of Chicago Press, vol. 30(1), pages 123-147, April.
    2. Huffman, Wallace E. & Evenson, Robert E., 2003. "New Econometric Evidence On Agricultural Total Factor Productivity Determinants: Impact Of Funding Sources," Working Papers 18201, Iowa State University, Department of Economics.
    3. V. Eldon Ball & Charles Hallahan & Richard Nehring, 2004. "Convergence of Productivity: An Analysis of the Catch-up Hypothesis within a Panel of States," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(5), pages 1315-1321.
    4. Zvi Griliches, 1960. "Measuring Inputs in Agriculture: A Critical Survey," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 42(5), pages 1411-1427.
    5. Charles B. Moss, 1992. "The Cost-Price Squeeze in Agriculture: An Application of Cointegration," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 14(2), pages 205-213.
    6. Granger, C. W. J. & Newbold, P., 1974. "Spurious regressions in econometrics," Journal of Econometrics, Elsevier, vol. 2(2), pages 111-120, July.
    7. Huang, Kuo S. & Lin, Biing-Hwan, 2000. "Estimation of Food Demand Nutrient Elasticities from household Survey Data," Technical Bulletins 184370, United States Department of Agriculture, Economic Research Service.
    8. Huang, Kuo S. & Lin, Biing-Hwan, 2000. "Estimation Of Food Demand And Nutrient Elasticities From Household Survey Data," Technical Bulletins 33579, United States Department of Agriculture, Economic Research Service.
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    More about this item

    JEL classification:

    • H40 - Public Economics - - Publicly Provided Goods - - - General
    • H72 - Public Economics - - State and Local Government; Intergovernmental Relations - - - State and Local Budget and Expenditures
    • Q16 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - R&D; Agricultural Technology; Biofuels; Agricultural Extension Services

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