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A Probabilistic Modeling Approach to the Detection of Industrial Agglomerations

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  • MORI Tomoya
  • Tony E. SMITH

Abstract

Dating from the seminal work of Ellison and Glaeser [7] in 1997, a wealth of evidence for the ubiquity of industrial agglomerations has been published. However, most of these results are based on analyses of single (scalar) indices of agglomeration. Hence, it is not surprising that industries deemed to be similar by such indices can often exhibit very different patterns of agglomeration—with respect to the number, size, and spatial extent of individual agglomerations. The purpose of this paper is thus to propose a more detailed spatial analysis of agglomeration in terms of multiple-cluster patterns, where each cluster represents a (roughly) convex set of contiguous regions within which the density of establishments is relatively uniform. The key idea is to develop a simple probability model of multiple clusters, called cluster schemes, and then to seek a "best" cluster scheme for each industry by employing a standard model-selection criterion. Our ultimate objective is to provide a richer characterization of spatial agglomeration patterns that will allow more meaningful comparisons of these patterns across industries.

Suggested Citation

  • MORI Tomoya & Tony E. SMITH, 2013. "A Probabilistic Modeling Approach to the Detection of Industrial Agglomerations," Discussion papers 13013, Research Institute of Economy, Trade and Industry (RIETI).
  • Handle: RePEc:eti:dpaper:13013
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    References listed on IDEAS

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    1. Brulhart, Marius & Traeger, Rolf, 2005. "An account of geographic concentration patterns in Europe," Regional Science and Urban Economics, Elsevier, vol. 35(6), pages 597-624, November.
    2. Tabuchi, Takatoshi & Thisse, Jacques-François, 2011. "A new economic geography model of central places," Journal of Urban Economics, Elsevier, vol. 69(2), pages 240-252, March.
    3. Ikeda, Kiyohiro & Akamatsu, Takashi & Kono, Tatsuhito, 2012. "Spatial period-doubling agglomeration of a core–periphery model with a system of cities," Journal of Economic Dynamics and Control, Elsevier, vol. 36(5), pages 754-778.
    4. Tomoya Mori & Koji Nishikimi & Tony E. Smith, 2005. "A Divergence Statistic for Industrial Localization," The Review of Economics and Statistics, MIT Press, vol. 87(4), pages 635-651, November.
    5. Ellison, Glenn & Glaeser, Edward L, 1997. "Geographic Concentration in U.S. Manufacturing Industries: A Dartboard Approach," Journal of Political Economy, University of Chicago Press, vol. 105(5), pages 889-927, October.
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    Citations

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    Cited by:

    1. Gokan, Toshitaka & Kuroiwa, Ikuo & Laksanapanyakul, Nuttawut & Ueki, Yasushi, 2016. "Spatial structures of manufacturing clusters in Cambodia, Lao People's Democratic Republic, and Thailand," IDE Discussion Papers 617, Institute of Developing Economies, Japan External Trade Organization(JETRO).
    2. Mori, Tomoya & Smith, Tony E., 2015. "On the spatial scale of industrial agglomerations," Journal of Urban Economics, Elsevier, vol. 89(C), pages 1-20.
    3. Gokan, Toshitaka & Kuroiwa, Ikuo & Nakajima, Kentaro & Sakata, Shozo, 2016. "Spatial patterns of manufacturing clusters in Vietnam," IDE Discussion Papers 616, Institute of Developing Economies, Japan External Trade Organization(JETRO).
    4. Gokan, Toshitaka & Kuroiwa, Ikuo & Nakajima, Kentaro, 2017. "Agglomeration economies in Vietnam : a firm-level analysis," IDE Discussion Papers 636, Institute of Developing Economies, Japan External Trade Organization(JETRO).
    5. Tomoya Mori & Tony E. Smith, 2011. "An Industrial Agglomeration Approach To Central Place And City Size Regularities," Journal of Regional Science, Wiley Blackwell, vol. 51(4), pages 694-731, October.
    6. Carlino, Gerald A. & Carr, Jake & Hunt, Robert M. & Smith, Tony E., 2010. "The agglomeration of R&D labs," Working Papers 10-33, Federal Reserve Bank of Philadelphia.
    7. Akamatsu, Takashi & Mori, Tomoya & Osawa, Minoru & Takayama, Yuki, 2017. "Spatial scale of agglomeration and dispersion: Theoretical foundations and empirical implications," MPRA Paper 80689, University Library of Munich, Germany.
    8. Gabriel Lang & Eric Marcon & Florence Puech, 2016. "Distance-Based Measures Of Spatial Concentration: Introducing A Relative Density Function," Working Papers hal-01082178, HAL.
    9. Toshitaka GOKAN & Ikuo KUROIWA & Nuttawut LAKSANAPANYAKUL & Yasushi UEKI, 2015. "Spatial Patterns of Manufacturing Agglomeration in Cambodia, Lao People’s Democratic Republic, and Thailand," Working Papers DP-2015-68, Economic Research Institute for ASEAN and East Asia (ERIA).

    More about this item

    JEL classification:

    • C49 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Other
    • L60 - Industrial Organization - - Industry Studies: Manufacturing - - - General
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)
    • R14 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Land Use Patterns

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