| |
Record |
Links |
|
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 |
|
| |
Corporate Author |
|
Thesis |
|
|
| |
Publisher |
Springer |
Place of Publication |
|
Editor |
|
|
| |
Language |
|
Summary Language |
|
Original Title |
|
|
| |
Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
|
| |
Series Volume |
|
Series Issue |
|
Edition |
|
|
| |
ISSN |
05701864 (Issn) |
ISBN |
|
Medium |
|
|
| |
Area |
|
Expedition |
|
Conference |
|
|
| |
Notes |
|
Approved |
no |
|
| |
Call Number |
EcoFoG @ webmaster @ |
Serial |
976 |
|
| Permanent link to this record |
