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Choose the Neighbor before the House: Agglomeration Externalities in a UK Science Park

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  • Christian Helmers

Abstract

This article investigates the presence of agglomeration externalities and their effect on innovative activity of companies located in a science park in the UK. We analyze whether close geographical, industrial and technological proximity of firms located in a science park increases firm-level innovative activity measured as patenting. The results provide evidence for the presence of positive inter- and intra-industry knowledge spillovers among firms that are located in very close geographic proximity. The results suggest that knowledge spillovers decay rapidly with geographic distance even within small clusters of firms such as a science park.

Suggested Citation

  • Christian Helmers, 2019. "Choose the Neighbor before the House: Agglomeration Externalities in a UK Science Park," Journal of Economic Geography, Oxford University Press, vol. 19(1), pages 31-55.
    • Handle: RePEc:oup:jecgeo:v:19:y:2019:i:1:p:31-55.
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    File URL: http://hdl.handle.net/10.1093/jeg/lbx042
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    Citations

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    Cited by:

    1. Margarida Madaleno & Max Nathan & Henry Overman & Sevrin Waights, 2022. "Incubators, accelerators and urban economic development," Urban Studies, Urban Studies Journal Limited, vol. 59(2), pages 281-300, February.
    2. Leyla A. Sandoval Hamón & Soraya M. Ruiz Peñalver & Elisa Thomas & Rune Dahl Fitjar, 2024. "From high-tech clusters to open innovation ecosystems: a systematic literature review of the relationship between science and technology parks and universities," The Journal of Technology Transfer, Springer, vol. 49(2), pages 689-714, April.
    3. Xin Nie & Jianxian Wu & Han Wang & Weijuan Li & Chengdao Huang & Lihua Li, 2022. "Contributing to carbon peak: Estimating the causal impact of eco‐industrial parks on low‐carbon development in China," Journal of Industrial Ecology, Yale University, vol. 26(4), pages 1578-1593, August.
    4. Jiaoping Yang & Shujun Wang & Shan Sun & Jianhua Zhu, 2022. "Influence Mechanism of High-Tech Industrial Agglomeration on Green Innovation Performance: Evidence from China," Sustainability, MDPI, vol. 14(6), pages 1-20, March.
    5. Florian Seliger & Gaéran de Rassenfosse & Jan Kozak, 2019. "Geocoding of worldwide patent data," KOF Working papers 19-458, KOF Swiss Economic Institute, ETH Zurich.
    6. Thisse, Jacques-François & Liang, Wen-Jung & Mai, Chao-Cheng & Wang, Ping, 2019. "On the Economics of Science Parks," CEPR Discussion Papers 13568, C.E.P.R. Discussion Papers.
    7. T. Theeranattapong & D. Pickernell & C. Simms, 2021. "Systematic literature review paper: the regional innovation system-university-science park nexus," The Journal of Technology Transfer, Springer, vol. 46(6), pages 2017-2050, December.
    8. Siddharth Sharma & Wilbur Chung, 2022. "Demand agglomeration economies, neighbor heterogeneity, and firm survival: The effect of HHGregg's bankruptcy," Strategic Management Journal, Wiley Blackwell, vol. 43(2), pages 370-401, February.
    9. Sergey Kichko & Wen-Jung Liang & Chao-Cheng Mai & Jacques-Francois Thisse & Ping Wang & Sergei Kichko, 2020. "The Rise (and Fall) of Tech Clusters," CESifo Working Paper Series 8527, CESifo.
    10. Hiroshi Someda & Takanori Akagi & Yuya Kajikawa, 2022. "An analysis of the spillover effects based on patents and inter-industrial transactions for an emerging blockchain technology," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(8), pages 4299-4314, August.

    More about this item

    Keywords

    Science park; agglomeration externality; patent;
    All these keywords.

    JEL classification:

    • D21 - Microeconomics - - Production and Organizations - - - Firm Behavior: Theory
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • L25 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Firm Performance

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