SPATIAL CLUSTERING, INEQUALITY AND INCOME CONVERGENCE
Mark V. Janikas and
Sergio J. Rey
Additional contact information
Mark V. Janikas: Department of Geography, San Diego State University
Sergio J. Rey: Department of Geography, San Diego State University
Region et Developpement, 2005, vol. 21, 45-64
Abstract:
This paper examines the relationship between spatial clustering and inequality at the county scale with overall state per capita income in the US over the period 1969-2000. For each of the 48 coterminous states, we examine measures of inequality and spatial clustering and explore how a state's overall income level may be influenced by, or influence, these measures. Our exploratory analysis utilizes the open-source package Space-Time Analysis of Regional Systems (STARS) to illustrate some new techniques for analyzing regional income dynamics. The results provide insight into the possible relationships between inequality, clustering and relative income levels, and generates a number of interesting avenues for future research.
Keywords: SPATIAL CLUSTERING; SPATIAL DEPENDENCE INEQUALITY; CONVERGENCE; GEOCOMPUTATION (search for similar items in EconPapers)
JEL-codes: C21 O18 O51 R11 R12 (search for similar items in EconPapers)
Date: 2005
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (12)
Downloads: (external link)
https://regionetdeveloppement.univ-tln.fr/wp-content/uploads/R21_janikas_rey.pdf (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:tou:journl:v:21:y:2005:p:45-64
Access Statistics for this article
More articles in Region et Developpement from Region et Developpement, LEAD, Universite du Sud - Toulon Var Contact information at EDIRC.
Bibliographic data for series maintained by Christophe Van Huffel ().