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Technology spillover and regional convergence process: a statistical analysis of the Italian case

Author

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  • Michele Costa

    (University of Bologna)

  • Stefano Iezzi

    (University of Bologna)

Abstract

. Recent literature broadly highlight the importance of modelling technological innovation effects on economic growth. This paper develops a methodology that allows to measure technology contribution to economic convergence; the choice of a regional framework also allows to underline interregional knowledge transmission as a the major channel of technological progress. Moreover, the specification of a dynamic growth model enables to evaluate both the regional convergence and the effect of innovation on long-run labour productivity without resorting to any technology index measurement. We contribute to the methodological literature also by comparing different dynamic panel data estimation procedures and by detecting both the presence of small sample bias and the existence of a nearly unit root autoregressive process in labour productivity series. The results of an empirical analysis on Italian regions show how most of innovation resources derives from relevant spillover mechanisms. Furthermore, technology spillover intensity seems to be strongly affected by geography and productive structure of regions.

Suggested Citation

  • Michele Costa & Stefano Iezzi, 2004. "Technology spillover and regional convergence process: a statistical analysis of the Italian case," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 13(3), pages 375-398, December.
    • Handle: RePEc:spr:stmapp:v:13:y:2004:i:3:d:10.1007_s10260-004-0088-0
    DOI: 10.1007/s10260-004-0088-0
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    Citations

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    Cited by:

    1. Raffaello Bronzini & Paolo Piselli, 2006. "Determinants of long-run regional productivity: the role of R&D, human capital and public infrastructure," Temi di discussione (Economic working papers) 597, Bank of Italy, Economic Research and International Relations Area.
    2. Jing Gao & Min Liu & Xiaoping Wang, 2024. "Unveiling the Impact of Urbanization on Net Primary Productivity: Insights from the Yangtze River Delta Urban Agglomeration," Land, MDPI, vol. 13(4), pages 1-18, April.
    3. Pami Dua & B N Goldar & Smruti Ranjan Behera, 2011. "Foreign Direct Investment and Technology Spillover: An Evaluation Across Different Clusters in India," Working Papers id:4382, eSocialSciences.
    4. Behera, Smruti Ranjan Behera & Dua, Pami Dua & Goldar, Bishwanath Goldar, 2012. "Technology Spillover of Foreign Direct Investment: An Analysis of Different Clusters in India," MPRA Paper 43840, University Library of Munich, Germany.
    5. repec:rre:publsh:v:36:y:2006:i:3:p:400-426 is not listed on IDEAS
    6. Seda ÖZGÜL & Metin KARADAĞ, 2015. "Regional Convergence in Turkey Regarding Welfare Indicators," Sosyoekonomi Journal, Sosyoekonomi Society, issue 23(24).
    7. Raffaello Bronzini & Paolo Piselli, 2005. "What determines productivity level in the long run? Evidence from Italians regions," ERSA conference papers ersa05p267, European Regional Science Association.
    8. Costantini, Valeria & Mazzanti, Massimiliano & Montini, Anna, 2013. "Environmental performance, innovation and spillovers. Evidence from a regional NAMEA," Ecological Economics, Elsevier, vol. 89(C), pages 101-114.
    9. Bin Zheng & Wenfeng Chen & Hui Zhao, 2021. "The Spatial and Temporal Characteristics of Industry–University Research Collaboration Efficiency in Chinese Mainland Universities," Sustainability, MDPI, vol. 13(23), pages 1-13, November.

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