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Spinoffs and clustering

Author

Listed:
  • Russell Golman
  • Steven Klepper

Abstract

Geographic clustering of industries is typically attributed to localized, pecuniary or non-pecuniary externalities. Recent studies across innovative industries suggestthat explosive cluster growth is associated with the entry and success of spinoff firms. We develop a model to explain the patterns regarding cluster growth and spinoff formation and performance, without relying on agglomeration externalities. Clustering naturally follows from spinoffs locating near their parents. In our model, firms grow and spinoffs form through the discovery of new submarkets based on innovation. Rapid and successful innovation creates more opportunities for spinoff entry and drives a region’s growth.
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Suggested Citation

  • Russell Golman & Steven Klepper, 2016. "Spinoffs and clustering," RAND Journal of Economics, RAND Corporation, vol. 47(2), pages 341-365, May.
    • Handle: RePEc:bla:randje:v:47:y:2016:i:2:p:341-365
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    File URL: http://hdl.handle.net/10.1111/rand.2016.47.issue-2
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    Blog mentions

    As found by EconAcademics.org, the blog aggregator for Economics research:
    1. Steven Klepper
      by Dick Langlois in Organizations and Markets on 2013-05-29 01:31:21

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    Cited by:

    1. Ron Boschma, 2015. "Do spinoff dynamics or agglomeration externalities drive industry clustering? A reappraisal of Steven Klepper’s work," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 24(4), pages 859-873.
    2. Buenstorf, Guido & Costa, Carla, 2018. "Drivers of spin-off performance in industry clusters: Embodied knowledge or embedded firms?," Research Policy, Elsevier, vol. 47(3), pages 663-673.
    3. Haifeng Qian, 2018. "Knowledge-Based Regional Economic Development: A Synthetic Review of Knowledge Spillovers, Entrepreneurship, and Entrepreneurial Ecosystems," Economic Development Quarterly, , vol. 32(2), pages 163-176, May.
    4. Maria Kubara, 2024. "Spatiotemporal localisation patterns of technological startups: the case for recurrent neural networks in predicting urban startup clusters," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 72(3), pages 797-829, March.
    5. Sepideh Yeganegi & Parshotam Dass & André O. Laplume, 2024. "Reviewing the employee spinout literature: A cross‐disciplinary approach," Journal of Economic Surveys, Wiley Blackwell, vol. 38(1), pages 137-167, February.
    6. Kalathil, Nikhil & Lanahan, Lauren & Feldman, Maryann & Fuchs, Erica R.H, 2025. "Varieties of agglomeration: Disentangling horizontal and vertical agglomeration within the manufacturing sector in the United States," Research Policy, Elsevier, vol. 54(7).
    7. Guido Buenstorf, 2017. "Schumpeterian Incumbents and Industry Evolution," Economic Complexity and Evolution, in: Andreas Pyka & Uwe Cantner (ed.), Foundations of Economic Change, pages 283-297, Springer.
    8. Carla Costa & Rui Baptista, 2023. "Knowledge inheritance and performance of spinouts," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 13(1), pages 29-55, March.

    More about this item

    JEL classification:

    • L25 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Firm Performance
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)
    • R30 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - General

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