Localised Knowledge Spillovers and Trade Competitiveness: The Case of Italy

  • Stefano Breschi
  • Daniela Palma
Part of the Advances in Spatial Science book series (ADVSPATIAL)


This chapter aims to provide an empirical examination of the relationship between international trade and innovative activities at the regional level, by adopting a spatial econometric approach. In recent years, interest in the spatial dimension of trade and knowledge flows has grown rapidly. On the one hand, some authors have pointed out that the geographical concentration of knowledge spillovers may play a fundamental role in shaping national and regional patterns of specialisation and comparative advantages (Grossman and Helpman 1991). If knowledge flows only take place within well defined spatial boundaries (national or regional), then some regions or countries, given an initial technological endowment, will deepen their patterns of specialisation through cumulative processes. On the other hand, a different line of research has attempted to measure knowledge and to trace knowledge flows.


Spatial Dependence Knowledge Spillover Trade Performance Innovative Activity Patent Activity 
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  1. Amendola, G., Perrucci A. (1993): European Patterns of Specialisation in High-Technology Products: A New Approach. STI Review 14, 153–178Google Scholar
  2. Amendola, G., Dosi G., Papagni E. (1993): The Dynamics of International Competitiveness. Weltwirtschaftliches Archiv 129 (3), 451–471CrossRefGoogle Scholar
  3. Anselin, L. (1988): Spatial Econometrics. Methods and Models. Kluwer Academic Publishers, DordrechtGoogle Scholar
  4. Anselin, L. (1990): Spatial Dependence and Spatial Structural Instability in Applied Regression Analysis. Journal of Regional Science 30, 185–207CrossRefGoogle Scholar
  5. Anselin, L., Florax R.J. (1995): New Directions in Spatial Econometrics. Springer, BerlinCrossRefGoogle Scholar
  6. Anselin, L., Varga A., Acs Z. (1997): Entrepreneurship, Geographic Spillovers and University Research: A Spatial Econometric Approach, ESRC WP 59, University of CambridgeGoogle Scholar
  7. Anselin, L. (1998), Spatial Dependence in Linear Regression Models with an Introduction to Spatial Econometrics. In: Ullah A., Giles D. (Eds.) Handbook of Applied Ecomomic Statistics. Marcel Dekker, New York, 237–289Google Scholar
  8. Breschi, S. (1998): Spatial Patterns of Innovation: Evidence from Patent Data. In: Malerba F., Gambardella A. (Eds.): The Organisation of Innovative Activity in Europe. Cambridge University Press, Cambridge (forthcoming)Google Scholar
  9. Breschi, S., Malerba F. (1996): Sectoral Innovation Systems. In: Edquist C. (Ed.) Systems of Innovation: Theory and Evidence. Oxford University Press, OxfordGoogle Scholar
  10. Brunsdon, C., Fotheringham A.S., Charlton M. (1998). Spatial Nonstationarity and Autoregressive Models. Environment and Planning A 30, 957–973CrossRefGoogle Scholar
  11. Cliff, A.D., Ord J.K. (1981) Spatial Processes. Models and Applications. Pion, LondonGoogle Scholar
  12. Feldman, M. (1994): The Geography of Innovation. Kluwer Academic Publishers, BostonGoogle Scholar
  13. Griliches, Z. (1991): Patent Statistics as Economic Indicators: A Survey. Journal of Economic Literature 28, 1661–1707Google Scholar
  14. Grossman, G.M., Helpman E. (1991): Innovation and Growth in the Global Economy. MIT Press, Cambridge MassGoogle Scholar
  15. Haining, R.(1990): Spatial Data Analysis in the Social and Environmental Sciences. Cambridge University Press, CambridgeCrossRefGoogle Scholar
  16. Haining, R. (1995): Data Problems in Spatial Econometric Modelling. In: Anselin L., Florax R.J. (Eds.) New Directions in Spatial Econometrics, Springer, Berlin, 156–171CrossRefGoogle Scholar
  17. Istituto G. Tagliacarne (1998): Osservatorio Economico Provinciale, RomeGoogle Scholar
  18. Jaffe, A.B. (1989): Real Effects of Academic Research, American Economic Review 79 (5), 957–970Google Scholar
  19. Jaffe, A.B., Trajtenberg M., Henderson R. (1993): Geographic Localisation of Knowledge Spillovers as Evidenced by Patent Citations. Quarterly Journal of Economics 108 (3), 577–598CrossRefGoogle Scholar
  20. OECD (1994): Using Patent Data as Science and Technology Indicators. Directorate for Science, Technology and Industry, ParisGoogle Scholar
  21. Patel, P., Pavitt K. (1995): Patterns of Technological Activity: Their Measurement and Interpretation. In: Stoneman P. (Ed.): Handbook of the Economics of Innovation and Technological Change. Blackwell, OxfordGoogle Scholar
  22. Pred, A. (1966): The Spatial Dynamics of U.S. Urban-Industrial Growth, 1800–1914. Interpretative and Theoretical Essays. MIT Press, Cambridge MassGoogle Scholar
  23. Sjöholm, F.(1996): International Transfer of Knowledge: The Role of International Trade and Geographical Proximity. Weltwirtschaftliches Archiv 132 (1), 97–115CrossRefGoogle Scholar
  24. Van Hulst, N., Mulder R., Soete L.G.(1991): Export and Technology in Manufacturing Industry. Weltwirtschaftliches Archiv 127 (2), 246–263CrossRefGoogle Scholar
  25. White, H. (1980): A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity, Econometrica 48, 817–830CrossRefGoogle Scholar
  26. Winter, S.G. (1987): Knowledge and Competence as Strategic Assets. In: Teece D.J. (Ed.) The Competitive Challenge: Strategies for Industrial Innovation and Renewal. Ballinger, Cambridge Mass, 159–184Google Scholar
  27. WIPO (1994): International Patent Classification, 6th Edition (1994), Vol. 9, Guide, Survey of Classes and Summary of Main Groups, GenevaGoogle Scholar

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© Springer-Verlag Berlin Heidelberg 1999

Authors and Affiliations

  • Stefano Breschi
  • Daniela Palma

There are no affiliations available

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