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Asia-Pacific Journal of Regional Science
Article . 2019 . Peer-reviewed
License: Springer TDM
Data sources: Crossref
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How do population agglomeration and interregional networks improve energy efficiency?

Authors: Akihiro Otsuka;
Abstract
This study investigates the impact of population agglomeration and interregional networks on the energy efficiency of the Japanese industrial and commercial sector. The empirical analysis employs a stochastic frontier model and reveals a nonlinear relation between population agglomeration and energy efficiency. External diseconomies prevail until reaching a threshold level of agglomeration; when the threshold is exceeded, external economies come into play. Enhanced accessibility is found to significantly increase energy efficiency. These results suggest that policies aimed at strengthening regional agglomeration and interregional networks can greatly contribute to improving energy efficiency.
Related Organizations
- Yokohama City University Japan
citations 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).23 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.Top 10%

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citations
Citations provided by BIP!
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).
popularity
Popularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
23
Top 10%
Top 10%
Top 10%