IDEAS home Printed from https://ideas.repec.org/a/spr/apjors/v8y2024i1d10.1007_s41685-023-00321-7.html
   My bibliography  Save this article

Impacts of enhancing regional network economies on regional productivity and productive efficiency in Japan: evaluation from stochastic frontier analysis

Author

Listed:
  • Akihiro Otsuka

    (Yokohama City University)

Abstract

With the advancement of technology and advent of a networked society, economic agents within a region benefit from local interactions within the region as well as the external economies. However, strengthening extra-regional ties may have negative consequences for regions near the center if all their economic resources are absorbed by the core. It is unclear, for regional economic agents, whether the negative network externalities dominate the positive ones. This has not been fully elucidated in the previous studies. To contribute to a breakthrough for this research topic, this study identified the impacts of network externalities on improvements in productivity and productive efficiency using stochastic frontier analysis. The analysis revealed that the borrowed size effect of agglomeration in the manufacturing industry significantly raises total factor productivity through shifts in the production frontier. It also revealed that the shadow effect of agglomeration does not adversely affect the productive efficiency of industry in either the manufacturing or non-manufacturing sector. These results imply that enhancing quality transportation infrastructure and improving inter-regional transportation networks can enhance the production performance of regional industries.

Suggested Citation

  • Akihiro Otsuka, 2024. "Impacts of enhancing regional network economies on regional productivity and productive efficiency in Japan: evaluation from stochastic frontier analysis," Asia-Pacific Journal of Regional Science, Springer, vol. 8(1), pages 25-43, March.
  • Handle: RePEc:spr:apjors:v:8:y:2024:i:1:d:10.1007_s41685-023-00321-7
    DOI: 10.1007/s41685-023-00321-7
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s41685-023-00321-7
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s41685-023-00321-7?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Ciccone, Antonio, 2002. "Agglomeration effects in Europe," European Economic Review, Elsevier, vol. 46(2), pages 213-227, February.
    2. Lewis Dijkstra & Enrique Garcilazo & Philip McCann, 2013. "The Economic Performance of European Cities and City Regions: Myths and Realities," European Planning Studies, Taylor & Francis Journals, vol. 21(3), pages 334-354, March.
    3. Roberta Capello, 2000. "The City Network Paradigm: Measuring Urban Network Externalities," Urban Studies, Urban Studies Journal Limited, vol. 37(11), pages 1925-1945, October.
    4. Martijn J. Burger & Evert J. Meijers & Marloes M. Hoogerbrugge & Jaume Masip Tresserra, 2015. "Borrowed Size, Agglomeration Shadows and Cultural Amenities in North-West Europe," European Planning Studies, Taylor & Francis Journals, vol. 23(6), pages 1090-1109, June.
    5. Rafael Boix & Joan Trullén, 2007. "Knowledge, networks of cities and growth in regional urban systems," Papers in Regional Science, Wiley Blackwell, vol. 86(4), pages 551-574, November.
    6. Ciccone, Antonio & Hall, Robert E, 1996. "Productivity and the Density of Economic Activity," American Economic Review, American Economic Association, vol. 86(1), pages 54-70, March.
    7. Akihiro Otsuka & Mika Goto, 2016. "Total factor productivity and the convergence of disparities in Japanese regions," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 56(2), pages 419-432, March.
    8. Tang, Chenghui & Guan, Mingming & Dou, Jianmin, 2021. "Understanding the impact of High Speed Railway on urban innovation performance from the perspective of agglomeration externalities and network externalities," Technology in Society, Elsevier, vol. 67(C).
    9. Jetpan Wetwitoo & Hironori Kato, 2017. "Inter-regional transportation and economic productivity: a case study of regional agglomeration economies in Japan," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 59(2), pages 321-344, September.
    10. Akihiro Otsuka, 2017. "Regional determinants of total factor productivity in Japan: stochastic frontier analysis," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 58(3), pages 579-596, May.
    11. Evert Meijers & Martijn Burger & Evert J. Meijers & Martijn J. Burger & Marloes M. Hoogerbrugge, 2016. "Borrowing size in networks of cities: City size, network connectivity and metropolitan functions in Europe," Papers in Regional Science, Wiley Blackwell, vol. 95(1), pages 181-198, March.
    12. Aw, Bee Yan & Chen, Xiaomin & Roberts, Mark J., 2001. "Firm-level evidence on productivity differentials and turnover in Taiwanese manufacturing," Journal of Development Economics, Elsevier, vol. 66(1), pages 51-86, October.
    13. Thomas Graaff, 2020. "On the estimation of spatial stochastic frontier models: an alternative skew-normal approach," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 64(2), pages 267-285, April.
    14. Tsukamoto, Takahiro, 2019. "A spatial autoregressive stochastic frontier model for panel data incorporating a model of technical inefficiency," Japan and the World Economy, Elsevier, vol. 50(C), pages 66-77.
    15. Chun-Chung Au & J. Vernon Henderson, 2006. "Are Chinese Cities Too Small?," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 73(3), pages 549-576.
    16. Tian, Meng & Wang, Yiwei & Wang, Yiran, 2023. "High-speed rail network and urban agglomeration economies: Research from the perspective of urban network externalities," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).
    17. Kawagoe, Masaaki, 1999. "Regional Dynamics in Japan: A Reexamination of Barro Regressions," Journal of the Japanese and International Economies, Elsevier, vol. 13(1), pages 61-72, March.
    18. Philip Cooke & Bjørn Asheim & Ron Boschma & Ron Martin & Dafna Schwartz & Franz Tödtling (ed.), 2011. "Handbook of Regional Innovation and Growth," Books, Edward Elgar Publishing, number 13482.
    19. Norihiko Yamano & Toru Ohkawara, 2000. "The Regional Allocation of Public Investment: Efficiency or Equity?," Journal of Regional Science, Wiley Blackwell, vol. 40(2), pages 205-229, May.
    20. Akihiro Otsuka, 2018. "Dynamics of agglomeration, accessibility, and total factor productivity: evidence from Japanese regions," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 27(7), pages 611-627, October.
    21. Jinliang Jiang & Zhensheng Xu & Jiayi Lu & Dongqi Sun, 2022. "Does Network Externality of Urban Agglomeration Benefit Urban Economic Growth—A Case Study of the Yangtze River Delta," Land, MDPI, vol. 11(4), pages 1-19, April.
    22. Shibamoto, Masahiko & Tsutsui, Yoshiro & Yamane, Chisako, 2016. "Understanding regional growth dynamics in Japan: Panel co-integration approach utilizing the PANIC method," Journal of the Japanese and International Economies, Elsevier, vol. 40(C), pages 17-30.
    23. Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-332.
    24. Xuefeng Zheng & Xiufan Zhang & Decheng Fan, 2023. "Research on the Coordinated Development of Innovation Ability and Regional Integration in Guangdong–Hong Kong–Macao Greater Bay Area," Sustainability, MDPI, vol. 15(4), pages 1-17, February.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Akihiro Otsuka, 2024. "Effects of regional network economies on industrial productivity in Japan: dynamic total factor productivity function approach," Asia-Pacific Journal of Regional Science, Springer, vol. 8(4), pages 1111-1134, December.
    2. Akihiro Otsuka, 2021. "A new approach to inter‐regional network externalities in Japan," Regional Science Policy & Practice, Wiley Blackwell, vol. 13(3), pages 1051-1067, June.
    3. Wenfang Fu & Chuanjian Luo & Modan Yan, 2023. "Does Urban Agglomeration Promote the Development of Cities? Evidence from the Urban Network Externalities," Sustainability, MDPI, vol. 15(12), pages 1-20, June.
    4. Xiaoxia Gong & Fanglei Zhong, 2021. "The Impact of Borrowing Size on the Economic Development of Small and Medium-Sized Cities in China," Land, MDPI, vol. 10(2), pages 1-18, January.
    5. Akihiro Otsuka, 2017. "Regional determinants of total factor productivity in Japan: stochastic frontier analysis," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 58(3), pages 579-596, May.
    6. Evert Meijers & Martijn Burger & Roberto Camagni & Roberta Capello & Andrea Caragliu, 2016. "Static vs. dynamic agglomeration economies. Spatial context and structural evolution behind urban growth," Papers in Regional Science, Wiley Blackwell, vol. 95(1), pages 133-158, March.
    7. Aijun Guo & Peixian Liu & Fanglei Zhong & Chunlin Yang & Xijing Luo, 2022. "Borrowing Size and Urban Green Development Efficiency in the City Network of China: Impact Measures and Size Thresholds," Land, MDPI, vol. 11(4), pages 1-19, March.
    8. Jinliang Jiang & Zhensheng Xu & Jiayi Lu & Dongqi Sun, 2022. "Does Network Externality of Urban Agglomeration Benefit Urban Economic Growth—A Case Study of the Yangtze River Delta," Land, MDPI, vol. 11(4), pages 1-19, April.
    9. Tian, Meng & Wang, Yiwei & Wang, Yiran, 2023. "High-speed rail network and urban agglomeration economies: Research from the perspective of urban network externalities," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).
    10. Yang, Xiaolan & Wang, Rui & Guo, Dongmei & Sun, Weizeng, 2020. "The reconfiguration effect of China's high-speed railway on intercity connection ——A study based on media attention index," Transport Policy, Elsevier, vol. 95(C), pages 47-56.
    11. Christophe Sohn & Julien Licheron & Evert Meijers, 2022. "Border cities: Out of the shadow," Papers in Regional Science, Wiley Blackwell, vol. 101(2), pages 417-438, April.
    12. Paolo VENERI & David BURGALASSI, 2011. "Spatial Structure and Productivity in Italian NUTS-3 Regions," Working Papers 364, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    13. Akihiro Otsuka, 2024. "Regional convergence of total factor productivity in Japanese industries: evidence from the twenty-first century industry data," Asia-Pacific Journal of Regional Science, Springer, vol. 8(1), pages 165-184, March.
    14. Roberto Camagni & Roberta Capello, 2015. "Second-Rank City Dynamics: Theoretical Interpretations Behind Their Growth Potentials," European Planning Studies, Taylor & Francis Journals, vol. 23(6), pages 1041-1053, June.
    15. Jiaming Li & Jessie Poon & Yuheng Li & Hu Yu, 2024. "How manufacturing and service industries affect regional inequality? Evidence from China," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 73(1), pages 31-59, June.
    16. Evert Meijers & Martijn Burger & Martijn J. Burger & Evert J. Meijers, 2016. "Agglomerations and the rise of urban network externalities," Papers in Regional Science, Wiley Blackwell, vol. 95(1), pages 5-15, March.
    17. Evert Meijers & Martijn Burger & Evert J. Meijers & Martijn J. Burger & Marloes M. Hoogerbrugge, 2016. "Borrowing size in networks of cities: City size, network connectivity and metropolitan functions in Europe," Papers in Regional Science, Wiley Blackwell, vol. 95(1), pages 181-198, March.
    18. Pierre-Philippe Combes & Sylvie Démurger & Shi Li, 2013. "Urbanisation and Migration Externalities in China," Working Papers 1303, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.
    19. Ahlfeldt, Gabriel M. & Pietrostefani, Elisabetta, 2019. "The economic effects of density: A synthesis," Journal of Urban Economics, Elsevier, vol. 111(C), pages 93-107.
    20. Shuaishuai Han & Changhong Miao, 2022. "Does a Polycentric Spatial Structure Help to Reduce Industry Emissions?," IJERPH, MDPI, vol. 19(13), pages 1-14, July.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:apjors:v:8:y:2024:i:1:d:10.1007_s41685-023-00321-7. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.