IDEAS home Printed from https://ideas.repec.org/a/bla/agecon/v19y1998i1-2p127-143.html
   My bibliography  Save this article

The rise and fall of public sector plant breeding in the United Kingdom: a causal chain model of basic and applied research and diffusion

Author

Listed:
  • C. Thirtle
  • P. Bottomley
  • P. Palladino
  • D. Schimmelpfennig
  • R. Townsend

Abstract

This paper examines the barley and wheat breeding programmes of the Plant Breeding Institute (PBI), which was the most successful public plant breeding institute in the UK, until privatization in 1987. The PBI's shares in barley and wheat seed sales are explained, showing that the success with barley was largely a matter of serendipity, whereas the wheat programme followed a more normal pattern. For wheat, the causal chain, or recursive, model decomposes the well‐documented link between research expenditures and increases in agricultural productivity into three stages. These are the effects of R&D expenditures on basic research output, measured by publications, the effect of publications and applied R&D expenditures on trial plot yields, and the diffusion of the trial plot technologies, which raises yields on farms. Applying the model to the FBI's wheat varieties allows estimation of the lag structures. In contrast to the results for aggregate agricultural research, for a single plant breeding programme alone there is a considerable lead time before there is any response, followed by a lag distribution only a few years long. The returns to the R&D investments are calculated from the causal chain model, from single equation estimates and by evaluating the yield advantage of the PBI varieties. All three approaches give consistent results, which show that the returns to barley and wheat alone were sufficient to support the entire PBI budget and still give rates of return to applied research of between 14 and 25%. The return to the basic science expenditures of the John Innes Institute has a lower bound of 17%, but must have been even higher than for the PBI if the other Institutes were taken into account. The paper concludes by commenting on the effects of the privatization of the PBI.

Suggested Citation

  • C. Thirtle & P. Bottomley & P. Palladino & D. Schimmelpfennig & R. Townsend, 1998. "The rise and fall of public sector plant breeding in the United Kingdom: a causal chain model of basic and applied research and diffusion," Agricultural Economics, International Association of Agricultural Economists, vol. 19(1-2), pages 127-143, September.
  • Handle: RePEc:bla:agecon:v:19:y:1998:i:1-2:p:127-143
    DOI: 10.1111/j.1574-0862.1998.tb00521.x
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/j.1574-0862.1998.tb00521.x
    Download Restriction: no

    File URL: https://libkey.io/10.1111/j.1574-0862.1998.tb00521.x?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Sargan, John Denis & Bhargava, Alok, 1983. "Testing Residuals from Least Squares Regression for Being Generated by the Gaussian Random Walk," Econometrica, Econometric Society, vol. 51(1), pages 153-174, January.
    2. Dickey, David A & Fuller, Wayne A, 1981. "Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root," Econometrica, Econometric Society, vol. 49(4), pages 1057-1072, June.
    3. Yougesh Khatri & Colin Thirtle, 1996. "Supply And Demand Functions For Uk Agriculture: Biases Of Technical Change And The Returns To Public R&D," Journal of Agricultural Economics, Wiley Blackwell, vol. 47(1‐4), pages 338-354, January.
    4. Echeverría, Ruben G., 1990. "Methods for Diagnosing Research System Constraints and Assessing the Impact of Agricultural Research - Volume 1: Diagnosing Agricultural Research System Constraints," ISNAR Archive 310626, CGIAR > International Food Policy Research Institute (IFPRI).
    5. Paolo Palladino, 1996. "Science, technology, and the economy: plant breeding in Great Britain, 1920-1970," Economic History Review, Economic History Society, vol. 49(1), pages 116-136, February.
    6. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Kingwell, Ross S., 2005. "Institutional Change and Plant Variety Provisions in Australia," Australasian Agribusiness Review, University of Melbourne, Department of Agriculture and Food Systems, vol. 13.
    2. Thirtle, Colin G. & Srinivasan, Chittur S. & Heisey, Paul W., 2001. "Public Sector Plant Breeding In A Privatizing World," Agricultural Information Bulletins 33775, United States Department of Agriculture, Economic Research Service.
    3. Kingwell, Ross S., 2003. "Institutional change and plant variety provision in Australia," 2003 Conference (47th), February 12-14, 2003, Fremantle, Australia 57905, Australian Agricultural and Resource Economics Society.
    4. Malla, Stavroula & Gray, Richard S., 2002. "Crop Research Incentives in a Privatized Industry: A Stochastic Approach," 2002 International Congress, August 28-31, 2002, Zaragoza, Spain 24936, European Association of Agricultural Economists.
    5. Kelvin Balcombe & Alastair Bailey & Iain Fraser, 2005. "Measuring the impact of R&D on Productivity from a Econometric Time Series Perspective," Journal of Productivity Analysis, Springer, vol. 24(1), pages 49-72, September.
    6. Roberto Esposti & Pierpaolo Pierani, 2003. "Building the Knowledge Stock: Lags, Depreciation, and Uncertainty in R&D Investment and Link with Productivity Growth," Journal of Productivity Analysis, Springer, vol. 19(1), pages 33-58, January.
    7. Malla, Stavroula & Gray, Richard S., 2001. "An Analytical And Empirical Analysis Of The Private Biotech R&D Incentives," 2001 Annual meeting, August 5-8, Chicago, IL 20544, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    8. Lindner, Robert K., 2004. "Economic Issues for Plant Breeding - Public Funding and Private Ownership," Australasian Agribusiness Review, University of Melbourne, Department of Agriculture and Food Systems, vol. 12.

    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. Colin Thirtle, 1999. "Productivity and the Returns to Levy‐Funded R&D for Sugar Production in the Eastern Counties of England," Journal of Agricultural Economics, Wiley Blackwell, vol. 50(3), pages 450-467, September.
    2. Ram Bhar, 1994. "Yield Curve as a Cointegrated System: Evidence from Australian Treasury Securities," Working Paper Series 35, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    3. Kremers, Jeroen J M & Ericsson, Neil R & Dolado, Juan J, 1992. "The Power of Cointegration Tests," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 54(3), pages 325-348, August.
    4. Derek Bond & Michael J. Harrison & Edward J. O'Brien, 2005. "Testing for Long Memory and Nonlinear Time Series: A Demand for Money Study," Trinity Economics Papers tep20021, Trinity College Dublin, Department of Economics.
    5. Thirtle, C. & Townsend, R. & van Zyl, J., 1998. "Testing the induced innovation hypothesis: an error correction model of South African agriculture," Agricultural Economics, Blackwell, vol. 19(1-2), pages 145-157, September.
    6. Campos, Julia & Ericsson, Neil R. & Hendry, David F., 1996. "Cointegration tests in the presence of structural breaks," Journal of Econometrics, Elsevier, vol. 70(1), pages 187-220, January.
    7. N. Vijayamohanan Pillai, 2010. "Electricity Demand Analysis and Forecasting- The Tradition is Questioned," Working Papers id:2966, eSocialSciences.
    8. Ericsson, Neil R., 1992. "Cointegration, exogeneity, and policy analysis: An overview," Journal of Policy Modeling, Elsevier, vol. 14(3), pages 251-280, June.
    9. Mustapha Djaballah, "undated". "The Impact Of Fdi And Exchange Rate On Gdp In Mena Countries : Evidence From The Panel Approach," Review of Socio - Economic Perspectives 202073, Reviewsep.
    10. Kucukkale, Yakup & Yamak, Rahmi, 2012. "Cointegration, causality and Wagner’s law with disaggregated data: evidence from Turkey, 1968-2004," MPRA Paper 36894, University Library of Munich, Germany.
    11. N. Vijayamohanan Pillai, 2001. "Electricity demand analysis and forecasting: The tradition is questioned," Centre for Development Studies, Trivendrum Working Papers 312, Centre for Development Studies, Trivendrum, India.
    12. Thirtle, Colin & Ball, V. Eldon & Bureau, Jean-Christophe & Townsend, Robert, 1995. "Accounting for Productivity Differences in European Agriculture: Cointegration, Multilateral TFPs and R&D Spillovers," 1994 Conference, August 22-29, 1994, Harare, Zimbabwe 183441, International Association of Agricultural Economists.
    13. Titelman Kardonsky, Daniel & Martner Fanta, Ricardo, 1992. "La demanda de dinero en Chile: una comparación de métodos alternativos de estimación de vectores de cointegración," Series Históricas 9584, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    14. D. Schimmelpfennig & C. Thirtle, 1994. "Cointegration, And Causality: Exploring The Relationship Between Agricultural And Productivity," Journal of Agricultural Economics, Wiley Blackwell, vol. 45(2), pages 220-231, May.
    15. R. F. Townsend & C. Thirtle, 1998. "The effects of macroeconomic policy on South African agriculture: implications for exports, prices and farm incomes," Journal of International Development, John Wiley & Sons, Ltd., vol. 10(1), pages 117-128.
    16. McAvinchey, Ian D., 2003. "Modelling and forecasting in an energy demand system with high and low frequency information," Economic Modelling, Elsevier, vol. 20(1), pages 207-226, January.
    17. Hamdi, Helmi & Sbia, Rashid, 2013. "Dynamic relationships between oil revenues, government spending and economic growth in an oil-dependent economy," Economic Modelling, Elsevier, vol. 35(C), pages 118-125.
    18. Naseem, N.A.M & Tan, Hui-Boon & Hamizah, M.S, 2008. "Exchange Rate Misalignment, Volatility and Import Flows in Malaysia," MPRA Paper 41571, University Library of Munich, Germany.
    19. Maswana, Jean-Claude, 2006. "An empirical investigation around the finance-growth puzzle in China with a particular focus on causality and efficiency considerations," MPRA Paper 3946, University Library of Munich, Germany, revised Apr 2006.
    20. Bakari, Sayef, 2019. "Do Agricultural Raw Materials Imports Cause Agricultural Growth? Empirical Analysis from North Africa," Bulletin of Economic Theory and Analysis, BETA Journals, vol. 4(2), pages 65-77, December.

    More about this item

    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:bla:agecon:v:19:y:1998:i:1-2:p:127-143. 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: Wiley-Blackwell Digital Licensing or Christopher F. Baum (email available below). General contact details of provider: https://edirc.repec.org/data/iaaeeea.html .

    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.