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The Annals of Regional Science
Article . 2006 . Peer-reviewed
License: Springer TDM
Data sources: Crossref
EconStor
Conference object . 2003
Data sources: EconStor
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Industrial diversity and metropolitan unemployment rate

Authors: Mizuno, Keizo; Mizutani, fumitoshi; Nakayama, Noriyoshi;

Industrial diversity and metropolitan unemployment rate

Abstract

The main goal of our study is to evaluate whether or not industrial diversity helps reduce the frictional unemployment rate of a metropolitan area. We used a data set from Japan’s 118 metropolitan areas. Our analysis shows that although industrial diversity might reduce the frictional unemployment rate of a metropolitan area, its effect is not statistically significant in our model. Second, the location quotient for industries, considered to be related to types of unemployment other than frictional, has a stronger impact on unemployment rate than industrial diversity does. In particular, it was found that the location quotients for both the manufacturing and the construction industry have a negative relationship with the unemployment rate of a metropolitan area. We also discovered that the higher the percentage of graduates of post-secondary institutions there are in a metropolitan area, the lower its unemployment rate will be.

Country
Japan
Keywords

ddc:330

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    30
    popularity
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    Top 10%
    influence
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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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
30
Top 10%
Top 10%
Top 10%
bronze