Abstract
Neighbouring towns in urban clusters of Canada exhibit similar levels of socio-economic development. However, when measured by different development indicators, inter-town development association differs in both nature and degree. In core areas, for instance, only population and housing variables exhibit a strong spatial association, while that of employment-related variables - average income, and unemployment rate - is weaker. This tendency reflects the fundamental difference between the two groups of variables. While population and housing variables are associated with the clustering of residents in socially homogenous areas, inter-town development similarity in respect to employment-related variables is weaker, apparently due to long-distance commuting. The article discusses the importance of urban clustering as a factor in regional development policies and programmes, and provides support for including cluster-related elements in a strategy to enhance urban growth in underdeveloped regions.
| Original language | English |
|---|---|
| Pages (from-to) | 443-465 |
| Number of pages | 23 |
| Journal | Papers in Regional Science |
| Volume | 83 |
| Issue number | 2 |
| DOIs | |
| State | Published - Apr 2004 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 8 Decent Work and Economic Growth
Keywords
- Canada
- Development strategies
- Proximity
- Public policy
- Spatial association
- Urban clustering
ASJC Scopus subject areas
- Geography, Planning and Development
- Environmental Science (miscellaneous)
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