"&sgr;"-convergence in the presence of spatial effects
This paper explores the implications that spatial effects can hold for the application of measures of "&sgr;"-convergence. The bias of a common indicator of "&sgr;"-convergence is examined for a family of spatial process models including: [a] spatial lag, [b] spatial error, and [c] spatial moving average. We show that the measure of "&sgr;"-convergence is sensitive to a number of distinct influences including global dispersion, spatial dependence, and a variety of forms of spatial heterogeneity. We suggest a decomposition of the convergence indicator into two components: one reflecting global dispersion, and one reflecting the influence of spatial effects. We then illustrate this approach with a case study of the U.S. states over the 1929-2000 period. Copyright (c) 2006 the author(s). Journal compilation (c) 2006 RSAI.
Year of publication: |
2006
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Authors: | Rey, Sergio J. ; Dev, Boris |
Published in: |
Papers in Regional Science. - Wiley Blackwell. - Vol. 85.2006, 2, p. 217-234
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Publisher: |
Wiley Blackwell |
Saved in:
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