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Distance-based agglomeration externalities and neighbouring firms’ characteristics

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  • Giulio Cainelli
  • Roberto Ganau

Abstract

This paper tests the hypothesis that firms with different characteristics can differ in their capability to produce local externalities by investigating the relationship between firm-specific distance-based weighted agglomeration measures and firms’ short-run productivity growth in the Italian manufacturing industry. The results suggest that positive localization economies increase with distance when neighbouring firms’ characteristics are accounted for. Diversification-type forces have negative effects on productivity growth at short distances, while there are positive effects at longer distances regardless of the weighting scheme considered. Moreover, the negative effect of inter-industry externalities seems to persist over distance when neighbouring firms’ characteristics are accounted for.

Suggested Citation

  • Giulio Cainelli & Roberto Ganau, 2018. "Distance-based agglomeration externalities and neighbouring firms’ characteristics," Regional Studies, Taylor & Francis Journals, vol. 52(7), pages 922-933, July.
    • Handle: RePEc:taf:regstd:v:52:y:2018:i:7:p:922-933
    DOI: 10.1080/00343404.2017.1360482
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    Cited by:

    1. Cainelli, Giulio & Ganau, Roberto, 2021. "Knowledge spillovers, related variety and firm heterogeneity," LSE Research Online Documents on Economics 114858, London School of Economics and Political Science, LSE Library.
    2. Cheng, Zhonghua & Li, Xiang & Zhu, Yeman & Wang, Meixiao, 2023. "The effects of agglomeration externalities on urban green total-factor productivity in China," Economic Systems, Elsevier, vol. 47(2).
    3. Tomaso Duso & Alexander Schiersch, 2022. "Let's Switch to the Cloud: Cloud Adaption and Its Effect on IT Investment and Productivity," Discussion Papers of DIW Berlin 2017, DIW Berlin, German Institute for Economic Research.
    4. Banal-Estanol, Albert & Seldeslachts, Jo & Vives, Xavier, 2022. "Ownership Diversification and Product Market Pricing Incentives," CEPR Discussion Papers 17686, C.E.P.R. Discussion Papers.
    5. Bernini, Cristina & Galli, Federica, 2023. "Innovation, productivity and spillover effects in the Italian accommodation industry," Economic Modelling, Elsevier, vol. 119(C).
    6. Li Fang, 2020. "Agglomeration and innovation: Selection or true effect?," Environment and Planning A, , vol. 52(2), pages 423-448, March.
    7. Pindado, Emilio & Sánchez, Mercedes & García Martínez, Marian, 2023. "Entrepreneurial innovativeness: When too little or too much agglomeration hurts," Research Policy, Elsevier, vol. 52(1).
    8. René BELDERBOS & FUKAO Kyoji & IKEUCHI Kenta & KIM Young Gak & KWON Hyeog Ug, 2022. "Does Industry Agglomeration Attract Productive Firms? The role of product markets in adverse selection," Discussion papers 22105, Research Institute of Economy, Trade and Industry (RIETI).
    9. Giulio Cainelli & Roberto Ganau & Yuting Jiang, 2020. "Detecting space–time agglomeration processes over the Great Recession using firm-level micro-geographic data," Journal of Geographical Systems, Springer, vol. 22(4), pages 419-445, October.
    10. Yiding Wu & Jingfei Song, 2024. "Impact of New Energy Industry Agglomeration on Green Innovation Efficiency—Based on the Regulative Effect of Green Finance," Sustainability, MDPI, vol. 16(8), pages 1-19, April.
    11. Gornig, Martin & Schiersch, Alexander, 2019. "Agglomeration economies and firm TFP: different effects across industries," VfS Annual Conference 2019 (Leipzig): 30 Years after the Fall of the Berlin Wall - Democracy and Market Economy 203597, Verein für Socialpolitik / German Economic Association.
    12. Katiuscia Lavoratori & Davide Castellani, 2021. "Too close for comfort? Microgeography of agglomeration economies in the United Kingdom," Journal of Regional Science, Wiley Blackwell, vol. 61(5), pages 1002-1028, November.

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