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Bibliometric Analysis Of The Quantitative Methods Applied To The Measurement Of Industrial Clusters

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  • Caio Peixoto Chain
  • Antônio Carlos dos Santos
  • Luiz Gonzaga de Castro
  • José Willer do Prado

Abstract

Literature on methods for analysing interindustry interdependence and geographical concentration of firms began to multiply since the 1990s. The aim of this paper was to systematize the literature on methods and measures applied to the analysis of industrial clusters, as well as to identify trends in this knowledge field. The method used was bibliometrics, which consisted of a frequency evaluation of the publications and the relationship network between them. It was verified an exponential increase in the number of papers that composed this area, based mainly on the theories of New Economic Geography. Recently, the literature has focused on the geographic location in relation to interindustry linkages, and the frontier of knowledge has shifted from traditional methods of regional science to areas such as spatial statistics, econophysics and artificial intelligence. There are still relevant questions being explored, as Modifiable Area Unit Problem (aggregation bias), nevertheless, spatial anisotropy (directional bias) is still neglected and indicates a new research path.

Suggested Citation

  • Caio Peixoto Chain & Antônio Carlos dos Santos & Luiz Gonzaga de Castro & José Willer do Prado, 2019. "Bibliometric Analysis Of The Quantitative Methods Applied To The Measurement Of Industrial Clusters," Journal of Economic Surveys, Wiley Blackwell, vol. 33(1), pages 60-84, February.
    • Handle: RePEc:bla:jecsur:v:33:y:2019:i:1:p:60-84
    DOI: 10.1111/joes.12267
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    Citations

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    Cited by:

    1. Sowjanya Dhulipala & Gopal R. Patil, 2021. "Identification of freight generating industry complexes: A descriptive spatial analysis," Growth and Change, Wiley Blackwell, vol. 52(4), pages 2680-2712, December.
    2. Viviana Fernandez, 2021. "Cross-country concentration and specialization of mining inventions," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(8), pages 6715-6759, August.
    3. Kiran Sharma & Parul Khurana, 2021. "Growth and dynamics of Econophysics: a bibliometric and network analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(5), pages 4417-4436, May.
    4. Gabriel Lang & Eric Marcon & Florence Puech, 2020. "Distance-based measures of spatial concentration: introducing a relative density function," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 64(2), pages 243-265, April.

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