IDEAS home Printed from https://ideas.repec.org/p/anc/wpaper/136.html
   My bibliography  Save this paper

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://docs.dises.univpm.it/web/quaderni/pdf/136.pdf
    File Function: First version, 2000
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Runkle, David E, 1987. "Vector Autoregressions and Reality," Journal of Business & Economic Statistics, American Statistical Association, vol. 5(4), pages 437-442, October.
    2. 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.
    3. Runkle, David E, 1987. "Vector Autoregressions and Reality: Reply," Journal of Business & Economic Statistics, American Statistical Association, vol. 5(4), pages 454-454, October.
    4. Wallace E. Huffman & Richard E. Just, 1999. "The organization of agricultural research in western developed countries," Agricultural Economics, International Association of Agricultural Economists, vol. 21(1), pages 1-18, August.
    5. Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
    6. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    7. John Shea, 1999. "What Do Technology Shocks Do?," NBER Chapters, in: NBER Macroeconomics Annual 1998, volume 13, pages 275-322, National Bureau of Economic Research, Inc.
    8. Danny Quah, 1997. "Empirics for Growth and Distribution," CEP Discussion Papers dp0324, Centre for Economic Performance, LSE.
    9. 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.
    10. Esposti, Roberto & Pierani, Pierpaolo, 2000. "Modelling technical change in Italian agriculture: a latent variable approach," Agricultural Economics, Blackwell, vol. 22(3), pages 261-270, April.
    11. David E. Runkle, 1987. "Vector autoregressions and reality," Staff Report 107, Federal Reserve Bank of Minneapolis.
    12. 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.
    13. 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.
    14. 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.
    15. Wolfgang Keller, 1997. "Technology Flows Between Industries: Identification and Productivity Effects," Economic Systems Research, Taylor & Francis Journals, vol. 9(2), pages 213-219.
    16. Zvi Griliches, 1998. "Productivity, R&D, and the Data Constraint," NBER Chapters, in: R&D and Productivity: The Econometric Evidence, pages 347-374, National Bureau of Economic Research, Inc.
    17. Daniel Johnson & Robert Evenson, 1997. "Innovation and Invention in Canada," Economic Systems Research, Taylor & Francis Journals, vol. 9(2), pages 177-192.
    18. 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.
    19. Quah, Danny, 1997. "Empirics for growth and distribution," LSE Research Online Documents on Economics 2138, London School of Economics and Political Science, LSE Library.
    20. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    21. Evenson, R.E. & De Cruz, E.R., 1989. "The Economic Impacts Of The Procisur Program: An International Study," Papers 588, Yale - Economic Growth Center.
    22. 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.
    23. 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.
    24. 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.
    25. Davis, Jeff, 1991. "Spillover Effects of Agricultural Research: Importance for Research Policy and Incorporation in Research Evaluation Models," ISNAR Archive 310808, CGIAR > International Food Policy Research Institute (IFPRI).
    26. Davis, Jeffrey S., 1991. "Spillover Effects of Agricultural Research : Importance for Research Policy and Incorporation in Research Evaluation Models," 1991 Conference (35th), February 11-14, 1991, Armidale, Australia 145852, Australian Agricultural and Resource Economics Society.
    27. 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.
    28. Hector O. Zapata & José M. Gil, 1999. "Cointegration and causality in international agricultural economics research," Agricultural Economics, International Association of Agricultural Economists, vol. 20(1), pages 1-9, January.
    29. 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.
    30. 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.
    31. Cohen, Wesley M & Levinthal, Daniel A, 1989. "Innovation and Learning: The Two Faces of R&D," Economic Journal, Royal Economic Society, vol. 99(397), pages 569-596, September.
    32. Fagerberg, Jan & Verspagen, Bart, 1998. "Productivity, R&D Spillovers and Trade," Working Papers 98.2, Eindhoven Center for Innovation Studies.
    33. Brunner, Karl & Meltzer, Allan H., 1986. "Real business cycles, real exchange rates, and actual policies," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 25(1), pages 1-10, January.
    34. Anderson, Jock R. & Feder, Gershon, 2007. "Agricultural Extension," Handbook of Agricultural Economics, in: Robert Evenson & Prabhu Pingali (ed.), Handbook of Agricultural Economics, edition 1, volume 3, chapter 44, pages 2343-2378, Elsevier.
    35. 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.
    36. Robert Evenson & Daniel Johnson, 1997. "Introduction: Invention Input-Output Analysis," Economic Systems Research, Taylor & Francis Journals, vol. 9(2), pages 149-160.
    37. 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.
    38. Pavitt, Keith, 1984. "Sectoral patterns of technical change: Towards a taxonomy and a theory," Research Policy, Elsevier, vol. 13(6), pages 343-373, December.
    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. Stefania BUSSOLETTI & Roberto ESPOSTI, 2004. "Regional Convergence, Structural Funds and the Role of Agricolture in the EU. A Panel-Data Approach," Working Papers 220, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    2. Marcello MESSORI & Alberto ZAZZARO, 2004. "Monetary profits within the circuit: Ponzi finance oer "mors tua, vita mea"?," Working Papers 200, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    3. Elvio MATTIOLI, 2003. "The measurement of coherence in the evaluation of criteria and its effects or ranking problems illustrated using a multicriteria decision method," Working Papers 199, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    4. Roberto ESPOSTI & Pierpaolo PIERANI, 2005. "Price, Private Demand and Optimal Provision of Public R&D in Italian Agriculture," Working Papers 238, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    5. Ugo Fratesi, 2003. "Innovation Diffusion and the Evolution of Regional Disparities," ERSA conference papers ersa03p327, European Regional Science Association.
    6. Nicola MATTEUCCI & Alessandro STERLACCHINI, 2003. "ICT and Employment Growth in Italian Industries," Working Papers 193, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.

    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. Esposti, Roberto, 2002. "Public agricultural R&D design and technological spill-ins: A dynamic model," Research Policy, Elsevier, vol. 31(5), pages 693-717, July.
    2. Ericsson, Neil R & Hendry, David F & Mizon, Grayham E, 1998. "Exogeneity, Cointegration, and Economic Policy Analysis," Journal of Business & Economic Statistics, American Statistical Association, vol. 16(4), pages 370-387, October.
    3. John D. Levendis, 2018. "Time Series Econometrics," Springer Texts in Business and Economics, Springer, number 978-3-319-98282-3, December.
    4. Masih, A. Mansur M. & Masih, Rumi, 2002. "Propagative causal price transmission among international stock markets: evidence from the pre- and postglobalization period," Global Finance Journal, Elsevier, vol. 13(1), pages 63-91.
    5. Gonzalo, Jesus & Ng, Serena, 2001. "A systematic framework for analyzing the dynamic effects of permanent and transitory shocks," Journal of Economic Dynamics and Control, Elsevier, vol. 25(10), pages 1527-1546, October.
    6. Kerry Patterson & Michael A. Thornton, 2013. "A review of econometric concepts and methods for empirical macroeconomics," Chapters, in: Nigar Hashimzade & Michael A. Thornton (ed.), Handbook of Research Methods and Applications in Empirical Macroeconomics, chapter 2, pages 4-42, Edward Elgar Publishing.
    7. Masih, Abul M. M. & Masih, Rumi, 1996. "Empirical tests to discern the dynamic causal chain in macroeconomic activity: new evidence from Thailand and Malaysia based on a multivariate cointegration/vector error-correction modeling approach," Journal of Policy Modeling, Elsevier, vol. 18(5), pages 531-560, October.
    8. Masih, Abul M. M. & Masih, Rumi, 1997. "Can family-planning programs "cause" a significant fertility decline in countries characterized by very low levels of socioeconomic development? New evidence from Bangladesh based on dynamic," Journal of Policy Modeling, Elsevier, vol. 19(4), pages 441-468, August.
    9. Masih, Rumi & Masih, Abul M. M., 1996. "Macroeconomic activity dynamics and Granger causality: New evidence from a small developing economy based on a vector error-correction modelling analysis," Economic Modelling, Elsevier, vol. 13(3), pages 407-426, July.
    10. Magalhães, Matheus Albergaria de & Picchetti, Paulo, 2005. "Regress and Progress! An Econometric Characterization of the Short-Run Relationship between Productivity and Labor Input in Brazil," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 25(2), November.
    11. Pagan, Jose A. & Soydemir, Gokce A., 2001. "Response asymmetries in the Latin American equity markets," International Review of Financial Analysis, Elsevier, vol. 10(2), pages 175-185.
    12. Nieh, Chien-Chung & Yau, Hwey-Yun, 2004. "Time series analysis for the interest rates relationships among China, Hong Kong, and Taiwan money markets," Journal of Asian Economics, Elsevier, vol. 15(1), pages 171-188, February.
    13. Hamori, Shigeyuki & Hamori, Naoko, 2000. "An empirical analysis of economic fluctuations in Japan: 1885-1940," Japan and the World Economy, Elsevier, vol. 12(1), pages 11-19, January.
    14. John Y. Campbell & Pierre Perron, 1991. "Pitfalls and Opportunities: What Macroeconomists Should Know about Unit Roots," NBER Chapters, in: NBER Macroeconomics Annual 1991, Volume 6, pages 141-220, National Bureau of Economic Research, Inc.
    15. Christophe Kamps, 2005. "The Dynamic Effects of Public Capital: VAR Evidence for 22 OECD Countries," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 12(4), pages 533-558, August.
    16. Hossain, Ferdaus, 1995. "Current account determination in the intertemporal framework: an empirical analysis," ISU General Staff Papers 1995010108000011939, Iowa State University, Department of Economics.
    17. Dagher, Leila & El Hariri, Sadika, 2013. "The impact of global oil price shocks on the Lebanese stock market," Energy, Elsevier, vol. 63(C), pages 366-374.
    18. José María Gil & J. Clemente & A, Montañés & M. Reyes, 1996. "Integración espacial y cointegración: una aplicación al mercado de cereales en España," Estudios de Economia Aplicada, Estudios de Economia Aplicada, vol. 6, pages 103-130, Diciembre.
    19. Keating, John W., 2000. "Macroeconomic Modeling with Asymmetric Vector Autoregressions," Journal of Macroeconomics, Elsevier, vol. 22(1), pages 1-28, January.
    20. Banu Demirhan, 2016. "Financial Development and Investment Amount Nexus: A Case Study of Turkey," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 6(3), pages 127-134, March.

    More about this item

    Keywords

    VAR/VEC models; research system design; technological spill-in;
    All these keywords.

    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

    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:anc:wpaper:136. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: . General contact details of provider: https://edirc.repec.org/data/deancit.html .

    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: Maurizio Mariotti (email available below). General contact details of provider: https://edirc.repec.org/data/deancit.html .

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.