toggle visibility Search & Display Options

Select All    Deselect All
 |   | 
  Record Links
Author (up) Lang, G.; Marcon, E.; Puech, F. doi  openurl
  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
Select All    Deselect All
 |   | 

Save Citations:
Export Records: