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The "geographical agglomeration-private R&D expenditure" effect: Empirical evidence on Italian data

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  • Michele Bagella
  • Leonardo Becchetti

Abstract

Recent theoretical contributions show that geographical proximity, by increasing the payoff from free-riding on knowledge accumulation, may reduce the relative profitability of individual R&D activity vis-a-vis imitation and other alternative forms of technological innovation which exploit more efficiently the presence of geographical spillovers. As a consequence, these models predict that aggregate R&D effort is likely to be lower for firms agglomerated in "industrial districts" than for isolated firms. In this paper we provide partial support to this theoretical hypothesis by showing that geographical agglomeration reduces private R&D expenditures and has a negative impact on the decision to invest in R&D. We also find that a marginal increase in agglomeration within the industrial district has the effect of increasing the quality of innovation but not of individual R&D expenditures. These findings seem to confirm that innovation in industrial districts is influenced more by agglomeration externalities than by higher individual R&D effort, emphasising once again the importance of technological spillovers as channels of knowledge accumulation and diffusion in these areas.

Suggested Citation

  • Michele Bagella & Leonardo Becchetti, 2002. "The "geographical agglomeration-private R&D expenditure" effect: Empirical evidence on Italian data," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 11(3), pages 233-247.
  • Handle: RePEc:taf:ecinnt:v:11:y:2002:i:3:p:233-247
    DOI: 10.1080/10438590210902
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    References listed on IDEAS

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    1. Romer, Paul M, 1986. "Increasing Returns and Long-run Growth," Journal of Political Economy, University of Chicago Press, vol. 94(5), pages 1002-1037, October.
    2. Dobkins, Linda Harris, 1996. "Location, innovation and trade: The role of localization and nation-based externalities," Regional Science and Urban Economics, Elsevier, vol. 26(6), pages 591-612, December.
    3. Francisco L. Rivera-Batiz & Luis A. Rivera-Batiz, 2018. "Increasing Returns, Monopolistic Competition, and Agglomeration Economies in Consumption and Production," World Scientific Book Chapters, in: Francisco L Rivera-Batiz & Luis A Rivera-Batiz (ed.), International Trade, Capital Flows and Economic Development, chapter 6, pages 141-176, World Scientific Publishing Co. Pte. Ltd..
    4. 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.
    5. Leonardo Becchetti & Stefania Rossi, 2000. "The Positive Effect of Industrial District on the Export Performance of Italian Firms," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 16(1), pages 53-68, February.
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    Cited by:

    1. Lee, Chang-Yang, 2009. "Do firms in clusters invest in R&D more intensively? Theory and evidence from multi-country data," Research Policy, Elsevier, vol. 38(7), pages 1159-1171, September.
    2. Anna Lamin & Miguel A. Ramos, 2016. "R&D investment dynamics in agglomerations under weak appropriability regimes: Evidence from Indian R&D labs," Strategic Management Journal, Wiley Blackwell, vol. 37(3), pages 604-621, March.
    3. Andrea Bonaccorsi & Cinzia Daraio, 2013. "Knowledge spillover effects at the sub-regional level. Theory and estimation," DIAG Technical Reports 2013-13, Department of Computer, Control and Management Engineering, Universita' degli Studi di Roma "La Sapienza".
    4. Chih-Hai Yang & Chia-Hui Huang, 2018. "Agglomeration, ownership, and R&D activity: firm-level evidence from China’s electronics industry," Empirical Economics, Springer, vol. 54(4), pages 1673-1696, June.

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    Localisation Externalities; Innovation;

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