| Record |
Author  |
Lang, G.; Marcon, E.; Puech, F. |
| Title |
Distance-based measures of spatial concentration: introducing a relative density function |
Type |
Journal Article |
| Year |
2020 |
Publication |
Annals of Regional Science |
Abbreviated Journal |
Ann. Reg. Sci. |
| Volume |
64 |
Issue |
2 |
Pages |
243-265 |
| Keywords |
Agglomeration; Aggregation; Economic geography; Point patterns; Spatial concentration; accuracy assessment; econometrics; economic activity; economic geography; industrial agglomeration; industrial location; location decision; spatial analysis; spatial distribution |
| Abstract |
For more than a decade, distance-based methods have been widely employed and constantly improved in spatial economics. These methods are a very useful tool for accurately evaluating the spatial distribution of economic activity. We introduce a new distance-based statistical measure for evaluating the spatial concentration of industries. The m function is the first relative density function to be proposed in economics. This tool supplements the typology of distance-based methods recently drawn up by Marcon and Puech (J Econ Geogr 3(4):409–428, 2003). By considering several simulated and real examples, we show the advantages and the limits of the m function for detecting spatial structures in economics. © 2019, Springer-Verlag GmbH Germany, part of Springer Nature. |
| Address |
RITM, Univ. Paris-Sud, Université Paris-Saclay and CREST, Sceaux, France |
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| Publisher |
Springer |
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| ISSN |
05701864 (Issn) |
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EcoFoG @ webmaster @ |
Serial |
976 |
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