
handle: 10419/64382
The purpose of this exploratory study is an attempt to identify public policies that have the potential to increase the economic viability of smaller metropolitan areas and cities. The authors identify characteristics associated with smaller metro areas that performed better than expected (winners) and worse than expected (losers) during the 1990s. The authors then look for evidence that public policy choices may have enhanced a metro area' ability to succeed by examining whether winners and losers are qualitatively different in ways that may indicate consequences of policy choices. A cluster analysis is completed to group the metro areas based on changes in social, economic, and demographic variables during the 1990s. The authors then use contingency table analysis and ANOVA to see if winners and losers are related to the grouping of metro areas in a way that may indicate the presence of government policy.
Urban issues, economic, development, growth, factors, erickcek, mckinney, incentives, local, regional, small, medium, cities, medium cities, Economics, public policy, Social and Behavioral Sciences, Urban Studies and Planning, Regional Economics, Stadtwachstum, USA, Stadtökonomik, ddc:330, local policy, Regionale Industriestruktur, small cities, economic growth, economic development, R11, metropolitan, urban growth, Labor Economics, Regional policy and planning, jel: jel:R11
Urban issues, economic, development, growth, factors, erickcek, mckinney, incentives, local, regional, small, medium, cities, medium cities, Economics, public policy, Social and Behavioral Sciences, Urban Studies and Planning, Regional Economics, Stadtwachstum, USA, Stadtökonomik, ddc:330, local policy, Regionale Industriestruktur, small cities, economic growth, economic development, R11, metropolitan, urban growth, Labor Economics, Regional policy and planning, jel: jel:R11
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 52 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
