BIBLIOMETRIC ANALYSIS OF THE QUANTITATIVE METHODS APPLIED TO THE MEASUREMENT OF INDUSTRIAL CLUSTERS
通过文献计量方法系统梳理了1990年代以来分析产业集群的方法和测度文献，发现研究前沿从传统区域科学转向空间统计、经济物理学和人工智能，并指出空间各向异性是未来研究方向。
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.