 BIBLIOMETRIC ANALYSIS OF THE QUANTITATIVE METHODS APPLIED TO THE MEASUREMENT OF INDUSTRIAL CLUSTERSCaio Peixoto Chain, Antônio Carlos dos Santos, Luiz Gonzaga de Castro and José Willer do Prado Journal of Economic Surveys, 2019, vol. 33, issue 1, 60-84 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. Date: 2019 Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:bla:jecsur:v:33:y:2019:i:1:p:60-84 Ordering information: This journal article can be ordered from Access Statistics for this article More articles in Journal of Economic Surveys from Wiley Blackwell |
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