Spatial Clustering, Inequality And Income Convergence
AbstractThis 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.
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Bibliographic InfoArticle provided by Region et Developpement, LEAD, Universite du Sud - Toulon Var in its journal Region et Developpement.
Volume (Year): 21 (2005)
Issue (Month): ()
SPATIAL CLUSTERING; SPATIAL DEPENDENCE INEQUALITY; CONVERGENCE; GEOCOMPUTATION;
Find related papers by JEL classification:
- C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
- O18 - Economic Development, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
- O51 - Economic Development, Technological Change, and Growth - - Economywide Country Studies - - - U.S.; Canada
- R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
- R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)
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