Abstract
This paper explores the implications that spatial effects can hold for the application of measures of σ-convergence. The bias of a common indicator of σ-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 σ-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.
Original language | English (US) |
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Pages (from-to) | 217-234 |
Number of pages | 18 |
Journal | Papers in Regional Science |
Volume | 85 |
Issue number | 2 |
DOIs | |
State | Published - Jun 2006 |
Externally published | Yes |
Keywords
- Convergence
- Spatial dependence
- Spatial heterogeneity
ASJC Scopus subject areas
- Geography, Planning and Development
- Environmental Science (miscellaneous)