We present a new statistical method that detects industrial clusters at a firm level. The proposed method does not … divide space into subunits whereby it is not affected by the Modifiable Areal Unit Problem (MAUP). Our metric differs both in … meaningful usage for cluster analysis. The method fulfills all five criteria for a test of localization proposed by Duranton and …

We present a new statistical method that describes the localization patterns of industries in a continuous space. The … proposed method does not divide space into subunits whereby it is not affected by the Modifiable Areal Unit Problem (MAUP). Our … method fulfils all five criteria for a spatial statistical test of localization proposed by Duranton and Overman (2005) and …

Applying the methodology developed by Duranton and Overman (2005, 2008), we analyze localization and dispersion of … Japan. Localization is comparable to that in the US, and takes place at relative small scales that are consistent with the … size of Chinese cities. Localization increases rapidly, even in the relative short period between 2002 and 2008, especially …

A growing literature employs distance-based measures of localization to assess the spatial distribution of firms with a … substantial localization and service differentiation among localised firms. Firm concentration varies across service cost and …

foundation for the formation of industrial clusters (in interpretation of modern regional science). Today, interest in clusters …. Ministry of Economic Development of Russia has developed a project to support the pilot territorial innovative clusters by … governments, interested in attracting of additional investment. Most of the clusters, formed in Russia, are not in innovative …