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Public R&D Design and Technological Spill-Ins. A Dynamic Model

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  • Roberto ESPOSTI

    () (Universita' Politecnica delle Marche, Dipartimento di Economia)

Abstract

The paper presents a dynamic model for the analysis of the National Agricultural Research Systems (NARS) strategy. In a context of increasing globalisation, both intersectoral and international technology spill-ins may greatly affect the NARS design, and this paper proposes an analytical framework for its study when major spill-ins are present. These spill-ins are calculated by applying the Yale Technology Concordance (YTC) methodology. A VAR/VEC model is then specified to detect empirically, given the calculated spill-ins, what NARS design prevails in a dynamic framework. The model is estimated for the Italian agriculture data and provides evidence of close dependency on external R&D sources.

Suggested Citation

  • Roberto ESPOSTI, 2000. "Public R&D Design and Technological Spill-Ins. A Dynamic Model," Working Papers 136, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
  • Handle: RePEc:anc:wpaper:136
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    References listed on IDEAS

    as
    1. 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.
    2. Swinnen, Johan F. M. & Gorter, Harry de & Rausser, Gordon C. & Banerjee, Anurag N., 2000. "The political economy of public research investment and commodity policies in agriculture: an empirical study," Agricultural Economics, Blackwell, vol. 22(2), pages 111-122, March.
    3. Runkle, David E, 1987. "Vector Autoregressions and Reality," Journal of Business & Economic Statistics, American Statistical Association, vol. 5(4), pages 437-442, October.
    4. Blanchard, Olivier Jean & Quah, Danny, 1989. "The Dynamic Effects of Aggregate Demand and Supply Disturbances," American Economic Review, American Economic Association, vol. 79(4), pages 655-673, September.
    5. Maredia, Mywish K. & Byerlee, Derek, 2000. "Efficiency of research investments in the presence of international spillovers: wheat research in developing countries," Agricultural Economics, Blackwell, vol. 22(1), pages 1-16, January.
    6. Runkle, David E, 1987. "Vector Autoregressions and Reality: Reply," Journal of Business & Economic Statistics, American Statistical Association, vol. 5(4), pages 454-454, October.
    7. Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
    8. Huffman, Wallace E. & Just, Richard E., 1999. "The organization of agricultural research in western developed countries," Agricultural Economics, Blackwell, vol. 21(1), pages 1-18, August.
    9. Johansen, Soren & Juselius, Katarina, 1990. "Maximum Likelihood Estimation and Inference on Cointegration--With Applications to the Demand for Money," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 52(2), pages 169-210, May.
    10. Daniel K. N. Johnson & Robert E. Evenson, 1999. "R&D Spillovers To Agriculture: Measurement And Application," Contemporary Economic Policy, Western Economic Association International, vol. 17(4), pages 432-456, October.
    11. King, Robert G. & Plosser, Charles I. & Stock, James H. & Watson, Mark W., 1991. "Stochastic Trends and Economic Fluctuations," American Economic Review, American Economic Association, vol. 81(4), pages 819-840, September.
    12. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 39(3), pages 106-135.
    13. MacKinnon, James G, 1994. "Approximate Asymptotic Distribution Functions for Unit-Root and Cointegration Tests," Journal of Business & Economic Statistics, American Statistical Association, vol. 12(2), pages 167-176, April.
    14. Esposti, Roberto & Pierani, Pierpaolo, 2000. "Modelling technical change in Italian agriculture: a latent variable approach," Agricultural Economics of Agricultural Economists, International Association of Agricultural Economists, vol. 22(3), April.
    15. Fagerberg, Jan & Verspagen, Bart, 1998. "Productivity, R&D Spillovers and Trade," Working Papers 98.2, Eindhoven Center for Innovation Studies.
    16. David E. Runkle, 1987. "Vector autoregressions and reality," Staff Report 107, Federal Reserve Bank of Minneapolis.
    17. Engle, Robert F. & Yoo, Byung Sam, 1987. "Forecasting and testing in co-integrated systems," Journal of Econometrics, Elsevier, vol. 35(1), pages 143-159, May.
    18. David Schimmelpfennig & Colin Thirtle, 1999. "The Internationalization Of Agricultural Technology: Patents, R&D Spillovers, And Their Effects On Productivity In The European Union And United States," Contemporary Economic Policy, Western Economic Association International, vol. 17(4), pages 457-468, October.
    19. Zapata, Hector O. & Gil, Jose M., 1999. "Cointegration and causality in international agricultural economics research," Agricultural Economics, Blackwell, vol. 20(1), pages 1-9, January.
    20. Makki, Shiva S. & Thraen, Cameron S. & Tweeten, Luther G., 1999. "Returns to American Agricultural Research: Results from a Cointegration Model," Journal of Policy Modeling, Elsevier, vol. 21(2), pages 185-211, March.
    21. Wolfgang Keller, 1997. "Technology Flows Between Industries: Identification and Productivity Effects," Economic Systems Research, Taylor & Francis Journals, vol. 9(2), pages 213-219.
    22. Daniel Johnson & Robert Evenson, 1997. "Innovation and Invention in Canada," Economic Systems Research, Taylor & Francis Journals, vol. 9(2), pages 177-192.
    23. Robert Evenson & Daniel Johnson, 1997. "Introduction: Invention Input-Output Analysis," Economic Systems Research, Taylor & Francis Journals, vol. 9(2), pages 149-160.
    24. Pantula, Sastry G & Gonzalez-Farias, Graciela & Fuller, Wayne A, 1994. "A Comparison of Unit-Root Test Criteria," Journal of Business & Economic Statistics, American Statistical Association, vol. 12(4), pages 449-459, October.
    25. Pavitt, Keith, 1984. "Sectoral patterns of technical change: Towards a taxonomy and a theory," Research Policy, Elsevier, vol. 13(6), pages 343-373, December.
    26. Zapata, Hector O. & Gil, Jose M., 1999. "Cointegration and causality in international agricultural economics research," Agricultural Economics of Agricultural Economists, International Association of Agricultural Economists, vol. 20(1), January.
    27. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    28. Evenson, R.E. & De Cruz, E.R., 1989. "The Economic Impacts Of The Procisur Program: An International Study," Papers 588, Yale - Economic Growth Center.
    29. Dolado, Juan J & Jenkinson, Tim & Sosvilla-Rivero, Simon, 1990. " Cointegration and Unit Roots," Journal of Economic Surveys, Wiley Blackwell, vol. 4(3), pages 249-273.
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    More about this item

    Keywords

    VAR/VEC models; research system design; technological spill-in;

    JEL classification:

    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General
    • Q16 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - R&D; Agricultural Technology; Biofuels; Agricultural Extension Services

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