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Weighting Ripley’s K-function to account for the firm dimension in the analysis of spatial concentration

Giuliani, Diego; Arbia, Giuseppe; Espa, Giuseppe - In: International regional science review 37 (2014) 3, pp. 251-272

Persistent link: https://www.econbiz.de/10011308155

Spatio-temporal clustering in the pharmaceutical and medical device manufacturing industry : a geographical micro-level analysis

Arbia, Giuseppe; Espa, Giuseppe; Giuliani, Diego; … - In: Regional science & urban economics 49 (2014), pp. 298-304

Persistent link: https://www.econbiz.de/10011291524

Effects of missing data and locational errors on spatial concentration measures based on Ripley's K-function

Arbia, Giuseppe; Espa, Giuseppe; Giuliani, Diego; … - In: Spatial economic analysis : the journal of the Regional … 12 (2017) 2/3, pp. 326-346

Persistent link: https://www.econbiz.de/10011669342

Clusters of firms in an inhomogeneous space : the high-tech industries in Milan

Arbia, Giuseppe; Espa, Giuseppe; Giuliani, D.; … - In: Economic modelling 29 (2012) 1, pp. 3-11

Persistent link: https://www.econbiz.de/10009658287

The spatial distribution of economic activities in Italy

Dominicis, Laura de; Arbia, Giuseppe; Groot, Henri L. F. de - 2007

Existing indices measuring the spatial distribution of economic activity such as the Krugman Specialisation Index, the Hirschmann-Herfindahl index and the Ellison-Glaeser index typically do not take into account the spatial structure of the data. In this paper, we first consider traditional...

Persistent link: https://www.econbiz.de/10011373826

Modelling individual behaviour of firms in the study of spatial concentration

Arbia, Giuseppe; Copetti, Massimiliano; Diggle, Peter - In: Growth and innovation of competitive regions : the role …, (pp. 297-327). 2009

Persistent link: https://www.econbiz.de/10003801139