IDEAS home Printed from https://ideas.repec.org/a/cup/jagaec/v38y2006i01p169-183_02.html
   My bibliography  Save this article

Valuing State-Level Funding for Research: Results for Florida

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.cambridge.org/core/product/identifier/S1074070800022148/type/journal_article
    File Function: link to article abstract page
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    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. 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.
    5. 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.
    6. 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.
    7. 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.
    8. Granger, C. W. J. & Newbold, P., 1974. "Spurious regressions in econometrics," Journal of Econometrics, Elsevier, vol. 2(2), pages 111-120, July.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Okrent, Abigail M. & Alston, Julian M., 2011. "Demand for Food in the United States: A Review of Literature, Evaluation of Previous Estimates, and Presentation of New Estimates of Demand," Monographs, University of California, Davis, Giannini Foundation, number 251908.
    2. Chouinard, Hayley H & Davis, David E. & LaFrance, Jeffrey T. & Perloff, Jeffrey M, 2005. "The Effects of a Fat Tax on Dairy Products," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt60t1f3tn, Department of Agricultural & Resource Economics, UC Berkeley.
    3. Shapiro, Jesse M., 2005. "Is there a daily discount rate? Evidence from the food stamp nutrition cycle," Journal of Public Economics, Elsevier, vol. 89(2-3), pages 303-325, February.
    4. Cremer, Helmuth & Goulão, Catarina & Roeder, Kerstin, 2016. "Earmarking and the political support of fat taxes," Journal of Health Economics, Elsevier, vol. 50(C), pages 258-267.
    5. Chambwera, Muyeye & Folmer, Henk, 2007. "Fuel switching in Harare: An almost ideal demand system approach," Energy Policy, Elsevier, vol. 35(4), pages 2538-2548, April.
    6. Chantal Le Mouël & Anna Birgit Milford & Benjamin L. Bodirsky & Susanne Rolinski, 2019. "Drivers of meat consumption," Post-Print hal-02175593, HAL.
    7. Liaukonyte, Jura & Rickard, Bradley J. & Kaiser, Harry M. & Richards, Timothy J., 2010. "Evaluating advertising strategies for fruits and vegetables and the implications for obesity in the United States," Working Papers 126972, Cornell University, Department of Applied Economics and Management.
    8. Alston, Julian M. & Mullally, Conner C. & Sumner, Daniel A. & Townsend, Marilyn & Vosti, Stephen A., 2009. "Likely effects on obesity from proposed changes to the US food stamp program," Food Policy, Elsevier, vol. 34(2), pages 176-184, April.
    9. Miroslav Verbič & Mitja Čok & Ana Božič, 2014. "Demand for food during economic transition: an AIDS econometric model for Slovenia, 1988-2008," Post-Communist Economies, Taylor & Francis Journals, vol. 26(2), pages 277-295, June.
    10. Biing‐Hwan Lin & Steven T. Yen & Diansheng Dong & David M. Smallwood, 2010. "Economic Incentives For Dietary Improvement Among Food Stamp Recipients," Contemporary Economic Policy, Western Economic Association International, vol. 28(4), pages 524-536, October.
    11. Corinna Manig & Alessio Moneta, 2014. "More or better? Measuring quality versus quantity in food consumption," Journal of Bioeconomics, Springer, vol. 16(2), pages 155-178, July.
    12. Robert G. Chambers & Simone Pieralli, 2020. "The Sources of Measured US Agricultural Productivity Growth: Weather, Technological Change, and Adaptation," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(4), pages 1198-1226, August.
    13. Naveed Hayat & Ghulam Mustafa & Bader Alhafi Alotaibi & Abou Traore, 2022. "Nutritional Demand and Consumption Pattern: A Case Study of Pakistan," Sustainability, MDPI, vol. 14(12), pages 1-21, June.
    14. Guanghua Han & Xujin Pu & Bo Fan, 2017. "Sustainable Governance of Organic Food Production When Market Forecast Is Imprecise," Sustainability, MDPI, vol. 9(6), pages 1-20, June.
    15. Hayley H. Chouinard & David E. Davis & Jeffrey T. LaFrance & Jeffrey M. Perloff, 2010. "Milk Marketing Order Winners and Losers," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 32(1), pages 59-76.
    16. Schroeter, Christiane & Lusk, Jayson & Tyner, Wallace, 2008. "Determining the impact of food price and income changes on body weight," Journal of Health Economics, Elsevier, vol. 27(1), pages 45-68, January.
    17. Jeon, Younghyeon & Hoang, Hoa K. & Thompson, Wyatt & Abler, David & Miller, J. Isaac, 2022. "Revealing the fundamental parameters of a food demand system using estimated elasticities," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322182, Agricultural and Applied Economics Association.
    18. Davis, Christopher G. & Blayney, Donald P. & Cooper, Joseph C. & Yen, Steven T., 2009. "An Analysis of Demand Elasticities for Fluid Milk Products in the U.S," 2009 Conference, August 16-22, 2009, Beijing, China 51791, International Association of Agricultural Economists.
    19. Caillavet, France & Fadhuile, Adelaide & Nichèle, Véronique, 2014. "Taxing animal foods for sustainability: environmental, nutritional and social perspectives in France," 2014 International Congress, August 26-29, 2014, Ljubljana, Slovenia 182863, European Association of Agricultural Economists.
    20. Rickard, Bradley J. & Sumner, Daniel A., 2011. "Was there policy "reform"? Evolution of EU domestic support for processed fruits and vegetables," Food Policy, Elsevier, vol. 36(3), pages 438-449, June.

    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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:cup:jagaec:v:38:y:2006:i:01:p:169-183_02. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Kirk Stebbing (email available below). General contact details of provider: https://www.cambridge.org/aae .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.