Effects of regional network economies on industrial productivity in Japan: dynamic total factor productivity function approach

IF 1.9 Q2 ECONOMICS
Akihiro Otsuka
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引用次数: 0

Abstract

Improving productivity performance is essential for achieving regional economic sustainability. With the advent of the network society, regional economic agents have benefited not only from local within-region interactions but also from external out-of-region economies. However, it remains unclear whether localized external economies or spillovers of externalities through inter-regional networks are more significant in improving productivity performance. Therefore, this study examined the relationships between productivity performance and geographical externalities from an industry perspective using regional economic data for Japan and employed a dynamic total factor productivity function approach. It also assessed the impact of high-quality transportation infrastructure improvements on productivity catch-up. The results revealed the long-run effects of inter-regional networks on the productivity performance of industries. Furthermore, it revealed that, as a geographical externality, the “borrowed size” effect contributed significantly to productivity improvements in both manufacturing and non-manufacturing industries. These findings suggest that enhancing both high-quality transportation infrastructure and inter-regional transportation networks is likely to improve industry productivity performance.

区域网络经济对日本工业生产率的影响:动态全要素生产率函数法
提高生产率对于实现区域经济的可持续性至关重要。随着网络社会的出现,区域经济行为主体不仅受益于本地的区域内互动,也受益于外部的区域外经济。然而,究竟是本地化的外部经济还是通过区域间网络的外部性溢出效应对提高生产率绩效更有意义,目前仍不清楚。因此,本研究利用日本的区域经济数据,采用动态全要素生产率函数方法,从产业角度研究了生产率绩效与地理外部性之间的关系。研究还评估了高质量交通基础设施的改善对生产力赶超的影响。研究结果表明,区域间网络对各行业的生产率绩效具有长期影响。此外,研究还发现,作为一种地理外部性,"借用规模 "效应对制造业和非制造业的生产率提高都有显著促进作用。这些研究结果表明,加强高质量的交通基础设施和区域间交通网络有可能提高产业的生产率绩效。
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来源期刊
Asia-Pacific Journal of Regional Science
Asia-Pacific Journal of Regional Science Social Sciences-Urban Studies
CiteScore
3.10
自引率
7.10%
发文量
46
期刊介绍: The Asia-Pacific Journal of Regional Science expands the frontiers of regional science through the diffusion of intrinsically developed and advanced modern, regional science methodologies throughout the Asia-Pacific region. Articles published in the journal foster progress and development of regional science through the promotion of comprehensive and interdisciplinary academic studies in relationship to research in regional science across the globe. The journal’s scope includes articles dedicated to theoretical economics, positive economics including econometrics and statistical analysis and input–output analysis, CGE, Simulation, applied economics including international economics, regional economics, industrial organization, analysis of governance and institutional issues, law and economics, migration and labor markets, spatial economics, land economics, urban economics, agricultural economics, environmental economics, behavioral economics and spatial analysis with GIS/RS data education economics, sociology including urban sociology, rural sociology, environmental sociology and educational sociology, as well as traffic engineering. The journal provides a unique platform for its research community to further develop, analyze, and resolve urgent regional and urban issues in Asia, and to further refine established research around the world in this multidisciplinary field. The journal invites original articles, proposals, and book reviews.The Asia-Pacific Journal of Regional Science is a new English-language journal that spun out of Chiikigakukenkyuu, which has a 45-year history of publishing the best Japanese research in regional science in the Japanese language and, more recently and more frequently, in English. The development of regional science as an international discipline has necessitated the need for a new publication in English. The Asia-Pacific Journal of Regional Science is a publishing vehicle for English-language contributions to the field in Japan, across the complete Asia-Pacific arena, and beyond.Content published in this journal is peer reviewed (Double Blind).
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