Agglomeration economies, knowledge spillovers, technological diversity and spatial clustering of innovations
This paper explores the spatial patterns of innovative activities from an empirical perspective and with reference to the Italian case. Using patent and other economic data at the NUTS 3 level (provinces), it borrows methodology and techniques from spatial statistics in order to analyse the way innovative and economic activities are arranged in space. Results show that innovative activities are considerably more spatially concentrated than production, but that there are also large differences across sectors in the spatial patterns of innovation. In mechanical engineering, industrial equipment and instruments sectors innovative activities tend to cluster around local systems of contiguous provinces, while in most chemical and electronic sectors innovative activities tend to concentrate in few metropolitan provinces surrounded by other non-innovative provinces. Regression analysis is also carried out to evaluate the impact of agglomeration economies, knowledge spillovers and technological diversity on the innovative performance of provinces.
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- Breschi, Stefano & Lissoni, Francesco & Malerba, Franco, 2003. "Knowledge-relatedness in firm technological diversification," Research Policy, Elsevier, vol. 32(1), pages 69-87, January.
- Zvi Griliches, 1998.
"Patent Statistics as Economic Indicators: A Survey,"
NBER Chapters,in: R&D and Productivity: The Econometric Evidence, pages 287-343
National Bureau of Economic Research, Inc.
- Griliches, Zvi, 1990. "Patent Statistics as Economic Indicators: A Survey," Journal of Economic Literature, American Economic Association, vol. 28(4), pages 1661-1707, December.
- Zvi Griliches, 1990. "Patent Statistics as Economic Indicators: A Survey," NBER Working Papers 3301, National Bureau of Economic Research, Inc.
- Adam B. Jaffe & Manuel Trajtenberg & Rebecca Henderson, 1993. "Geographic Localization of Knowledge Spillovers as Evidenced by Patent Citations," The Quarterly Journal of Economics, Oxford University Press, vol. 108(3), pages 577-598.
- Adam B. Jaffe & Manuel Trajtenberg & Rebecca Henderson, 1992. "Geographic Localization of Knowledge Spillovers as Evidenced by Patent Citations," NBER Working Papers 3993, National Bureau of Economic Research, Inc.
- Jaffe, A.B. & Trajtenberg, M., 1992. "Geographic Localization of Knowledge Spillovers as Evidenced by Patent Citations," Papers 14-92, Tel Aviv.
- Winkelmann, Rainer & Zimmermann, Klaus F, 1995. " Recent Developments in Count Data Modelling: Theory and Application," Journal of Economic Surveys, Wiley Blackwell, vol. 9(1), pages 1-24, March.
- Swann, Peter & Prevezer, Martha, 1996. "A comparison of the dynamics of industrial clustering in computing and biotechnology," Research Policy, Elsevier, vol. 25(7), pages 1139-1157, October.
- Hausman, Jerry & Hall, Bronwyn H & Griliches, Zvi, 1984. "Econometric Models for Count Data with an Application to the Patents-R&D Relationship," Econometrica, Econometric Society, vol. 52(4), pages 909-938, July.
- Jerry A. Hausman & Bronwyn H. Hall & Zvi Griliches, 1984. "Econometric Models for Count Data with an Application to the Patents-R&D Relationship," NBER Technical Working Papers 0017, National Bureau of Economic Research, Inc.
- Jaffe, Adam B, 1989. "Real Effects of Academic Research," American Economic Review, American Economic Association, vol. 79(5), pages 957-970, December. Full references (including those not matched with items on IDEAS)
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