TY  - JOUR
AU  - Lang, G.
AU  - Marcon, E.
AU  - Puech, F.
PY  - 2020//
TI  - Distance-based measures of spatial concentration: introducing a relative density function
T2  - Ann. Reg. Sci.
JO  - Annals of Regional Science
SP  - 243
EP  - 265
VL  - 64
IS  - 2
PB  - Springer
KW  - Agglomeration
KW  - Aggregation
KW  - Economic geography
KW  - Point patterns
KW  - Spatial concentration
KW  - accuracy assessment
KW  - econometrics
KW  - economic activity
KW  - industrial agglomeration
KW  - industrial location
KW  - location decision
KW  - spatial analysis
KW  - spatial distribution
N2  - 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.
SN  - 05701864 (Issn)
UR  - http://dx.doi.org/10.1007/s00168-019-00946-7
N1  - exported from refbase (http://php.ecofog.gf/refbase/show.php?record=976), last updated on Mon, 08 Feb 2021 11:13:52 -0300
ID  - Lang_etal2020
ER  -