Authorship：Lead author,　Corresponding author   Language：English   Publishing type：Part of collection (book)   Publisher：Springer Nature Singapore  

This chapter examines the influence of spatial interdependencies on regional total factor productivity in Japan, focusing on the contrasting effects of Borrowed Size and Agglomeration Shadows. Using panel data from 47 Japanese prefectures between 2000 and 2018, we compare the manufacturing and nonmanufacturing sectors by estimating the Spatial Durbin and Spatial Durbin-SARAR models. These models allow a detailed decomposition of productivity effects into direct (within-region) and indirect (spillover) components across space. The results indicate that industrial agglomeration and transport capital positively affect local productivity in both sectors. However, negative spillovers, interpreted as Agglomeration Shadow effects, also occur, where concentrations in neighboring regions suppress local performance. Human capital consistently exerts a positive impact on manufacturing, with evidence of interregional spillover effects. These findings highlight sector-specific spatial dynamics and underscore the need for differentiated regional policy responses. In the manufacturing sector, promoting networked industrial clustering and labor mobility can enhance productivity, but such policies must be balanced against the risks of overconcentration. In the nonmanufacturing sector, decentralized service economies and spatially equitable infrastructure investments are critical for mitigating competitive displacement from urban cores. By clarifying the conditions under which Borrowed Size and Agglomeration Shadow effects prevail, this chapter contributes to spatial productivity theory and provides actionable insights for designing regionally differentiated development strategies.

DOI： 10.1007/978-981-95-7016-4_8

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Authorship：Lead author,　Corresponding author   Language：English   Publishing type：Part of collection (book)   Publisher：Springer Nature Singapore  

This chapter synthesizes the theoretical and empirical insights developed throughout the book, which examines the evolving spatial dynamics of regional economies in Japan through the lens of Borrowed Size. While traditional agglomeration theory emphasizes internal scale economies within metropolitan areas, this book redefines Borrowed Size as a multidimensional concept encompassing external economies, interregional network structures, and institutional-relational foundations. Drawing on empirical chapters that employ panel data, spatial econometric modeling, and efficiency analysis, the book demonstrates that regional performance, measured by productivity and innovation, can be enhanced through access to external resources, provided that institutional connectivity and absorptive capacity are present. This chapter consolidates findings from earlier chapters and positions Borrowed Size not as a derivative of geographic proximity alone but as a dynamic capability rooted in strategic network positioning and policy coordination. Furthermore, the chapter addresses the duality of Borrowed Size and Agglomeration Shadow, arguing that regions must navigate both opportunities and risks in their interdependencies with urban centers. By integrating theory, empirical evidence, and policy implications, this chapter presents a renewed framework for understanding spatial development and proposes Borrowed Size as a foundational concept for promoting regional resilience and inclusive growth amid demographic and economic challenges.

DOI： 10.1007/978-981-95-7016-4_11

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Authorship：Lead author,　Corresponding author   Language：English   Publishing type：Part of collection (book)   Publisher：Springer Nature Singapore  

This chapter examines how geographical factors shape the performance of Japan’s Regional Innovation System (RIS), focusing on domestic patenting activities. Using prefectural-level panel data from 2000 to 2018 and applying a dynamic panel model based on difference generalized method of moments estimation, the analysis assesses the influence of industrial clusters, transportation infrastructure, and interregional accessibility (Borrowed Size) on the quantity and efficiency of patent output. The results indicate that employment density and establishment size positively affect patent activity, whereas total employment has a negative effect, suggesting that innovation is driven not by labor scale but by the spatial concentration of knowledge-intensive activity. Furthermore, transport capital and interregional accessibility contribute positively to innovation. Moran’s I tests reveal no significant spatial autocorrelation in patent outcomes, indicating that domestic innovation in Japan tends to remain geographically bounded within regional units. These findings have several policy implications. In the context of demographic decline, fostering innovation hubs through dense knowledge environments and infrastructure investment may be more effective than general employment expansion. Additionally, the spatially localized nature of domestic patenting underscores the need for place-based strategies that strengthen local innovation ecosystems while recognizing the limited potential of interregional spillovers.

DOI： 10.1007/978-981-95-7016-4_10

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Authorship：Lead author,　Corresponding author   Language：English   Publishing type：Part of collection (book)   Publisher：Springer Nature Singapore  

This chapter investigates the dynamic associations between borrowed size (BS) and regional productivity by applying the Hicks-Moorsteen-Bjurek Productivity Index (HMB-PI) to a panel dataset of Japanese prefectures across manufacturing and nonmanufacturing industries. The HMB-PI framework decomposes total factor productivity change into four components: technical change (TC), efficiency change (EC), scale change (SC), and mix change (MC). Empirical results show that in the manufacturing sector, BS is statistically and positively associated with TC, SC, and MC, highlighting the role of urban proximity in driving innovation, optimal scale, and input restructuring. In contrast, for the nonmanufacturing sector, BS is statistically associated only with SC, which implies that urban externalities influence scale adjustment primarily through market thickness rather than internal efficiency or innovation. This sectoral asymmetry underscores the multifaceted and selective nature of BS. Comparisons with the static DEA results in Chap. 6 further indicate that BS is statistically associated with the level of efficiency but not with its improvement over time, suggesting a structural divergence between static performance and dynamic trajectories. This chapter replicates and extends the analytical framework of Goto et al. (Regional Studies 52(11): 1537–1547, 2018) with a focus on BS, applying updated interpretation and additional contextual analysis. In doing so, it contributes to understanding BS as a dynamic and context-dependent phenomenon and offers nuanced insights into how urban proximity shapes productivity across sectors and components.

DOI： 10.1007/978-981-95-7016-4_7

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Authorship：Lead author,　Corresponding author   Language：English   Publishing type：Part of collection (book)   Publisher：Springer Nature Singapore  

This chapter empirically investigates the Borrowed Size hypothesis using a two-stage Data Envelopment Analysis (DEA) on an industry-level panel dataset covering all 47 prefectures of Japan. In the first stage, an output-oriented DEA with variable returns to scale is applied to estimate regional technical efficiency scores. In the second stage, Tobit regression examines the statistical relationship between spatial externalities, captured by a Borrowed Size index, and population density and inefficiency scores. While procedures such as bootstrap correction and truncated regression are theoretically preferable, this chapter adopts a simplified but theoretically informed approach that reflects practical constraints common in regional economic research, including software limitations and computational cost. This approach does not aim at causal inference; rather, it represents a transparent and pragmatic adaptation to the empirical context. By explicitly acknowledging these limitations and the associated trade-offs, the chapter maintains both analytical coherence and empirical feasibility. The results indicate that in the manufacturing sector, Borrowed Size is positively and significantly associated with efficiency, suggesting that geographic proximity enhances regional performance. In the nonmanufacturing sector, however, proximity to large urban centers may reduce efficiency due to excessive agglomeration and intensified interregional competition, consistent with the concept of “competitive crowding.” By integrating spatial context into the assessment of regional productive efficiency, this chapter proposes a novel analytical framework that offers insights for rethinking regional development strategies and locational policy design.

DOI： 10.1007/978-981-95-7016-4_6

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Authorship：Lead author,　Corresponding author   Language：English   Publishing type：Part of collection (book)   Publisher：Springer Nature Singapore  

This chapter adopts a data-driven regional science approach and proposes a “post-third stage” in the evolution of Japan’s regional economic structure, building on the seminal three-stage model of Fujita and Tabuchi (Regional Science and Urban Economics 27(6): 643–670, 1997). It argues that the monocentric concentration around Tokyo, once dominant, has gradually shifted toward interregional convergence since the 2000s, although Tokyo continues to play a leading role. This shift is not driven solely by physical dispersion but is increasingly supported by network-based scale externalities, conceptualized as Borrowed Size, as well as institutional thickness and relational proximity at the prefectural level. The chapter provides both empirical evidence and theoretical elaboration on this transformation, suggesting a redefinition of spatial dynamics in which functional connectivity and institutional collaboration outweigh physical agglomeration. This perspective carries significant implications for both regional development theory and spatial policy design.

DOI： 10.1007/978-981-95-7016-4_12

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Authorship：Lead author,　Corresponding author   Language：English   Publishing type：Part of collection (book)   Publisher：Springer Nature Singapore  

With the advancement of technology and the emergence of a networked society, economic agents within a region benefit not only from local interactions but also from external economies. However, strengthening extraregional ties may negatively affect regions near the center if their economic resources are absorbed by the core. For regional economic agents, it remains unclear whether negative network externalities outweigh positive ones, and this issue has not been fully addressed in previous studies. To advance understanding in this area, this chapter examines the impact of network externalities on productivity and productive efficiency using stochastic frontier analysis. The results indicate that the Borrowed Size effect of agglomeration in the manufacturing sector significantly increases total factor productivity by shifting the production frontier. Moreover, the shadow effect of agglomeration does not adversely affect productive efficiency in either the manufacturing or nonmanufacturing sector. These findings suggest that enhancing the quality of transportation infrastructure and improving interregional transportation networks can improve the production performance of regional industries.

DOI： 10.1007/978-981-95-7016-4_5

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Authorship：Lead author,　Corresponding author   Language：English   Publishing type：Research paper (scientific journal)  

DOI： 10.1080/21681376.2025.2590896

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DOI： 10.1007/s00168-025-01431-0

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Authorship：Lead author,　Corresponding author   Language：English   Publishing type：Research paper (scientific journal)  

DOI： 10.1007/s41685-025-00398-2

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Other Link： https://link.springer.com/article/10.1007/s41685-025-00398-2/fulltext.html

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DOI： 10.1007/s41685-024-00358-2

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DOI： 10.1111/rsp3.12631

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DOI： 10.1007/s41685-023-00321-7

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DOI： 10.1007/s41685-023-00323-5

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DOI： 10.1177/21582440241228654

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DOI： 10.1016/j.dib.2023.109467

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DOI： 10.1016/j.jup.2023.101519

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DOI： 10.1007/s41685-022-00267-2

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DOI： 10.1007/s41685-020-00165-5

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DOI： 10.1007/s41685-022-00227-w

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Authorship：Lead author,　Corresponding author   Language：English   Publishing type：Part of collection (book)   Publisher：Springer Singapore  

DOI： 10.1007/978-981-16-3709-4_6

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Authorship：Lead author,　Corresponding author   Language：English   Publishing type：Part of collection (book)   Publisher：Springer Singapore  

DOI： 10.1007/978-981-16-3709-4_1

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Authorship：Lead author,　Corresponding author   Language：English   Publishing type：Part of collection (book)   Publisher：Springer Singapore  

DOI： 10.1007/978-981-16-3709-4_5

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DOI： 10.1007/978-981-16-3709-4_4

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DOI： 10.1007/978-981-16-3709-4_3

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DOI： 10.1007/978-981-16-3709-4_2

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DOI： 10.1007/978-981-16-3709-4_7

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Authorship：Lead author,　Corresponding author   Language：English   Publishing type：Part of collection (book)   Publisher：Springer Singapore  

DOI： 10.1007/978-981-16-3709-4_10

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DOI： 10.1007/978-981-16-3709-4_9

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DOI： 10.1007/978-981-16-3709-4_8

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DOI： 10.1111/rsp3.12291

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Authorship：Lead author,　Corresponding author   Language：English   Publishing type：Part of collection (book)   Publisher：IntechOpen  

With the growing demand for energy, improving energy efficiency has become a key policy issue in Japan. Therefore, this study estimates the energy demand function of Japan’s industrial sector using a stochastic frontier model and analyzes the level of energy efficiency and its determinants. An empirical analysis based on the data of 47 Japanese prefectures presents three main findings. First, installment in large production facilities deteriorates energy efficiency and second, it is effective in increasing the electrification rate to improve energy efficiency. Finally, improving productivity leads to an increase in the electrification rate. These results suggest that policies aimed at increasing electrification by enhancing the productivity of factories and offices significantly contribute to improving energy efficiency.

DOI： 10.5772/intechopen.81482

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Authorship：Lead author,　Corresponding author   Language：English   Publishing type：Part of collection (book)   Publisher：Springer Singapore  

DOI： 10.1007/978-981-15-3970-1_11

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Authorship：Lead author,　Corresponding author   Language：Japanese   Publishing type：Research paper (bulletin of university, research institution)   Publisher：Arts and Sciences Society of Yokohama City University  

DOI： 10.15015/00001779

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Other Link： http://id.nii.ac.jp/1246/00001779/

Authorship：Lead author,　Corresponding author   Language：English   Publishing type：Research paper (scientific journal)  

DOI： 10.1111/pirs.12474

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DOI： 10.1007/s41685-019-00129-4

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DOI： 10.1007/s41685-019-00126-7

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DOI： 10.1080/00343404.2017.1413238

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DOI： 10.1080/10438599.2017.1384110

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DOI： 10.3390/en11061557

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DOI： 10.3390/su10020469

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Authorship：Lead author,　Corresponding author   Language：English   Publishing type：Part of collection (book)   Publisher：Nova Science Publishers  

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DOI： 10.1186/s13705-017-0135-y

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Authorship：Lead author,　Corresponding author   Language：English   Publishing type：Part of collection (book)   Publisher：Springer Singapore  

DOI： 10.1007/978-981-10-6490-6_9

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Authorship：Lead author,　Corresponding author   Language：English   Publishing type：Part of collection (book)   Publisher：Springer Singapore  

DOI： 10.1007/978-981-10-6490-6_8

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DOI： 10.1007/978-981-10-6490-6_7

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DOI： 10.1007/978-981-10-6490-6_6

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DOI： 10.1007/978-981-10-6490-6_10

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DOI： 10.1007/978-981-10-6490-6_2

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DOI： 10.1007/978-981-10-6490-6_1

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DOI： 10.1007/978-981-10-6490-6_5

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DOI： 10.1007/978-981-10-6490-6_4

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DOI： 10.1007/978-981-10-6490-6_3

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DOI： 10.1007/s41685-017-0045-1

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DOI： 10.1007/s00168-017-0808-7

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DOI： 10.1108/IJESM-07-2015-0004

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Authorship：Lead author,　Corresponding author   Language：English   Publishing type：Part of collection (book)   Publisher：Springer International Publishing  

DOI： 10.1007/978-3-319-47566-0_2

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Authorship：Lead author,　Corresponding author   Language：English   Publishing type：Part of collection (book)   Publisher：Springer International Publishing  

DOI： 10.1007/978-3-319-47566-0_1

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Authorship：Lead author,　Corresponding author   Language：English   Publishing type：Part of collection (book)   Publisher：Springer International Publishing  

DOI： 10.1007/978-3-319-47566-0_5

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Authorship：Lead author,　Corresponding author   Language：English   Publishing type：Part of collection (book)   Publisher：Springer International Publishing  

DOI： 10.1007/978-3-319-47566-0_4

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Authorship：Lead author,　Corresponding author   Language：English   Publishing type：Part of collection (book)   Publisher：Springer International Publishing  

DOI： 10.1007/978-3-319-47566-0_3

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DOI： 10.1186/s13705-016-0076-x

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Authorship：Lead author,　Corresponding author   Language：Japanese   Publishing type：Research paper (bulletin of university, research institution)   Publisher：The Economic Association of Okayama University  

In a Japanese economy that must contend with environmental restrictions, both the control of greenhouse gas emissions by improving energy efficiency and the boosting of national and regional economic growth are important issues of policy. To this end, this study targeted the industrial sectors of 47 prefectures and investigated the current energy consumption levels for the manufacturing industry in order to analyze the factors contributing to improvements in energy efficiency in the manufacturing industry, which is responsible for most of the industrial energy consumed. An empirical analysis was conducted using econometric methods to determine whether an improvement in energy efficiency is compatible with an improvement in productivity and/or whether industrial agglomeration, in which productivity improvement is the driving force, contributes to an improvement in energy efficiency.
The results of the analysis are as follows. (1) There is a clear correlation between productivity and energy efficiency. A deeper analysis of this correlation reveals that while productivity improvement influences energy efficiency, an improvement in energy efficiency does not influence productivity improvement. (2) Industrial agglomeration influences improvements in energy efficiency. Industrial agglomeration has improved energy efficiency from the formation of industry agglomeration in rural regions. In contract, in the Tokyo metropolitan area and Kansai region, the decline in industrial agglomeration has worsened energy efficiency. This result suggests that in order to improve our manufacturing energy efficiency, it is necessary to agglomerate the same type of industries in rural regions.

DOI： 10.18926/OER/54167

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Other Link： http://id.ndl.go.jp/bib/027204475

Authorship：Lead author,　Corresponding author   Language：Japanese   Publishing type：Research paper (bulletin of university, research institution)  

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Other Link： https://ndlsearch.ndl.go.jp/books/R000000004-I027221655

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DOI： 10.1007/s00168-016-0745-x

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：The International Academic Forum  

This study examines productivity change and the factors of regional industries in Japan using a data set consisting of 47 prefectures over the period from 1990 to 2009. The data set is comprised of one output and five inputs for manufacturing and non-manufacturing industries; amount of real term production as an output and intermediate input, number of employees, private capital stock, social capital stock and final energy consumption as inputs. Using the data set, we measure Hicks-Moorsteen-Bjurek (HMB) productivity index proposed by Nemoto and Goto (2005). The advantage of the HMB productivity index compared with the other popular productivity indexes such as Törnqvist productivity index and Malmquist productivity index is that the former can be fully decomposed into factors to explain the productivity change over time. To calculate the HMB productivity index, this study measures the distance functions by applying a data envelopment analysis (DEA). From the results, this study indicates regional disparity has gradually expanded among regions, particularly after 2003. We show the increased disparity can be attributed to the reduced level of social capital investment for rural areas since 2000’s. Finally this study discusses desirable regional policy in Japan.

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Authorship：Lead author,　Corresponding author   Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：The International Academic Forum  

With environmental constraints being strengthened worldwide, an important question that arises for Japan’s economic policy is how best to achieve regional economic growth along with energy efficiency. This study examines the impacts of agglomeration economies, which boost economic growth, on the energy efficiency of Japanese manufacturing industries. Using a prefectural-level panel dataset from the Energy Consumption Statistics by Prefecture, this study obtains new empirical results: (1) agglomeration economies improve the energy efficiency of Japanese manufacturing industries; (2) localization economies positively impact the improvement of energy efficiency in rural areas, while urbanization economies positively impact the improvement of energy efficiency in large metropolitan areas. Thus, it is determined that agglomerating similar industries is effective in improving energy efficiency in rural areas; however, in large metropolitan areas, it is more effective to agglomerate diverse industries in order to improve energy efficiency. In general, industrial agglomeration as a result of economies of agglomeration, based on localization, occurs for the most part in medium-sized cities. The finding therefore suggests that it is more appropriate to formulate strategy in terms of medium-sized cities than large metropolitan cities in improving the energy efficiency of manufacturing industries located in rural areas.

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Authorship：Lead author,　Corresponding author   Language：English   Publishing type：Research paper (scientific journal)   Publisher：SpringerOpen  

DOI： 10.1186/s40008-015-0021-8

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DOI： 10.1111/rsp3.12058

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DOI： 10.1080/00343404.2013.795285

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DOI： 10.1007/s00168-015-0659-z

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DOI： 10.1080/21681376.2014.953196

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DOI： 10.1111/rsp3.12039

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Authorship：Lead author,　Corresponding author   Language：Japanese   Publishing type：Research paper (scientific journal)   Publisher：Japan Association for Planning and Public Management  

This study derivates the empirical models of residential and power demand and attempts to measure the price elasticity of residential and power demand among nine power companies. As the general consensus among researchers analyzing electric demand is that electric power demand is extremely inelastic; the price elasticity of electric demand is a priori assumed to be as low as zero or –0.1. The results of the empirical analysis reveal that the values for the price elasticity of residential demand in each region are distributed between –0.14 and –0.64; therefore, it is clear that price elasticity significantly varies from zero in all regions. Further, since the price elasticity values of power demand are between –0.16 and –0.55, it is apparent that these values also significantly vary from zero in all regions. Regional disparities for residential demand were also found. Moreover, we can confirm that a feature of regional power demand is that price elasticity is smaller in urban areas and larger in rural areas. It is understood that power demand is related to the ratio of self-owned power plants.

DOI： 10.14985/jappm.37.2_53

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Authorship：Last author   Language：Japanese   Publishing type：Research paper (bulletin of university, research institution)   Publisher：Center for Research on Regional Economic Systems, Hiroshima University  

This paper develops a population forecasting model for the Chugoku region in Japan, highlighting the consistent structure of interregional migration, and the effects of economic disparity between regions. By considering the changes in out-migration rate by age, the results show that population aging causes a reduction in interregional migration, which leads to natural demographic change dominating. Moreover, it is predicted that elderly people will rapidly increase by 24% in Hiroshima prefecture due to the aging of post-war baby boomers that had inflow during the rapid growth period, and so again natural demographic change will become increasingly significant. The forecasts of other institutions, which assume that the net migration rate during 2005-2010 will remain constant in the future, are more pessimistic than the results found in this paper. Lastly, the change in the fertility rate may affect the prefectural population in the Chugoku region in 2050 by around 10%.

DOI： 10.15027/36160

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Language：English   Publishing type：Research paper (scientific journal)  

DOI： 10.1016/j.energy.2013.12.020

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Authorship：Lead author,　Corresponding author   Language：Japanese   Publishing type：Research paper (scientific journal)   Publisher：Japan Section of the Regional Science Association International  

DOI： 10.2457/srs.44.453

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Other Link： https://ndlsearch.ndl.go.jp/books/R000000004-I026284210

Authorship：Lead author,　Corresponding author   Language：Japanese   Publishing type：Research paper (scientific journal)   Publisher：The Japan Society of International Economics  

This study quantifies the factors contributing to foreign direct investment (FDI) using data from a questionnaire-based survey of Japanese manufacturing firms with overseas operations. The results of our analysis echoed that of previous research, demonstrating that in addition to company size, the effects of R and marketing capabilities on FDI were statistically significant. Notably, R capability exerted a stronger effect than marketing capability, which led us to conclude that technical knowledge is an important firm-specific advantage among firms embarking on FDI.

DOI： 10.5652/kokusaikeizai.kk2013.04.ak

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Other Link： https://www.jstage.jst.go.jp/article/kokusaikeizai/64/0/64_kk2013.04.ak/_article/-char/ja/

Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：The International Academic Forum  

The global warming and climate change becomes a major policy issue in the world. To partly deal with the climate change issue from economics and business concerns, this study proposes a use of Data Envelopment Analysis (DEA) as a methodology for unified (operational and environmental) assessments. The proposed DEA approach has been long serving as an important methodology to evaluate the performance of various organizations. Recently, many researchers have applied DEA to various environmental issues. A contribution of the previous DEA studies was that they found the importance of an output separation into desirable (good) outputs and undesirable (bad) outputs (e.g., CO2 emission and air pollution substances from production activities). Acknowledging a contribution of these previous studies on DEA environmental assessment, this study classifies efficiency measures into the two categories according to the treatment of undesirable outputs: (a) productive efficiency and (b) unified efficiency under natural disposability. The first efficiency does not incorporate undesirable outputs in the performance evaluation, while the second measure incorporates them to the environmental assessment. Using a data set regarding the manufacturing industries of 47 prefectures in Japan, this study examines their productive and environmental efficiencies to obtain policy implications. The important empirical finding suggests that Japanese regional industries need to make their further efforts to reduce air pollution substances and increase energy efficiency.

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Authorship：Lead author,　Corresponding author   Language：Japanese   Publishing type：Research paper (bulletin of university, research institution)   Publisher：Center for Research on Regional Economic Systems, Hiroshima University  

The role that industrial agglomerations play in regional economic growth has been discussed in the fields of regional economics and urban economics, and the effect of industrial agglomeration on regional economy has been proven in a number of previous studies. In particular, almost all previous works of research attempted to explain the reasons behind industrial agglomeration and classify its effects. Industrial agglomeration effects are conceptually classified into localization and urbanization economies. Localization economies are those agglomeration effects that accrue to a group of firms that belong to the same industrial sector and are located at the same place. Urbanization economies are agglomeration effects that accrue to firms across various sectors. Previous research focused on understanding the effect of these industrial agglomerations by using regional data of various countries. Moreover, the existence of localization economies and urbanization economies has been established in many regions including Japan. However, this focus was narrowed down to grasping the impact of industrial agglomeration on the level of labor productivity; most of the previous research did not verify the extent to which industrial agglomeration had exerted influence on regional economic growth. Therefore, this study extends these previous studies on agglomeration economies, by using the Japanese prefecture-level data on industries. We estimate the impact of industrial agglomeration on economic growth in Japanese regions. By employing Japanese prefectural data for the period 1980-2005, we attempt to provide, on the basis of an estimated production function, sufficient clarification of the manner in which agglomeration accelerates economic growth in regions.

DOI： 10.15027/31680

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Authorship：Lead author,　Corresponding author   Language：English   Publishing type：Research paper (scientific journal)  

DOI： 10.1111/j.1435-5957.2010.00286.x

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CiNii Research

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Authorship：Lead author,　Corresponding author   Language：English   Publishing type：Research paper (scientific journal)  

Web of Science

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CiNii Research

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Authorship：Lead author,　Corresponding author   Language：Japanese   Publishing type：Research paper (scientific journal)   Publisher：Economic and Social Research Institute, Cabinet Office  

In the 1990s, Japanese regions experienced serious economic recession. During this period, the Japanese government began to introduce new policies that promoted industrial agglomeration in regions. These industrial agglomerations are termed as clusters, and they are expected to act as a major force to drive the regional productivity growth. According to the traditional urban and regional economic theory, agglomeration economies are the external economies that accrue to a group of firms belonging to the same sector located at the same place. Agglomeration economies are also the external economies that accrue to firms across the various sectors. It is well known that these externalities positively impact the productivity of firms. However, it is not clear whether agglomeration economies affect economic convergence.
This paper examines the impact of industrial agglomeration on regional economic growth and explores whether the formation of industrial agglomeration contributes to the convergence of regional disparities in productivity. The result, obtained using Japanese prefectural data for the period 1980–2002, indicates that spillover effects have greater effects on regional growth than economies of scale. Furthermore, scale economies contribute toward economic convergence in the manufacturing industry. In contrast, with regard to the non-manufacturing industry, scale economies contribute toward increasing the regional disparities in productivity. Therefore, the expansion of the non-manufacturing sectors in the industrial structure can potentially create regional economic disparities.

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Other Link： https://warp.da.ndl.go.jp/info:ndljp/pid/11513838/www.esri.go.jp/jp/archive/bun/bun180/bun180a.pdf

Authorship：Last author   Language：Japanese   Publishing type：Research paper (bulletin of university, research institution)   Publisher：Center for Research on Regional Economic Systems, Hiroshima University  

In recently years, dramatic changes in economic and social environment, such as aging population, globalization of economic activities, and so on, have increased uncertainty about the future of local areas in Japan, including Chugoku region. As a result, it has become more important than ever for each region to have its own vision for the future of the economy and society. This paper presents a newly developed "regional econometric input-output model for Chugoku region (CREIM)" that can produce a long-term outlook for the Chugoku region's macro-economy and industries. Unlike conventional models, this model enables analysts to make forecasts of detailed structural changes in the inter-industry relations in the Chugoku region's economy, along with ordinary macro-economic projections, with input-coefficients changing endogenously every year during the projection period. Using the model, we carried out a forecast for the period 2002–2030.The results reveal that the projected average annual growth rate of real GDP in Chugoku region is 0.93% during 2002–2030. While private final consumption expenditure and housing investment will be getting depressed, external demand-led growth is expected in Chugoku region, especially in the leading industries such as chemical products, petroleum and coal products, iron and steel, general machinery, electrical machinery and transportation equipment, due to the continuous expansion in world trade.

DOI： 10.15027/28827

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Authorship：Lead author,　Corresponding author   Language：Japanese   Publishing type：Research paper (scientific journal)   Publisher：Board of Audit of Japan  

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Other Link： https://www.jbaudit.go.jp/koryu/study/mag/pdf/j36d10.pdf

Authorship：Last author   Language：Japanese   Publishing type：Research paper (bulletin of university, research institution)   Publisher：Center for Research on Regional Economic Systems, Hiroshima University  

The importance of new firm formation has long been discussed in the literature of traditional regional science and urban economics. The results of numerical empirical studies show that the new firms create jobs, stimulate technological progress, and contribute to regional economic growth. Therefore, the new firm formation is an important policy issue for each region. Though the empirical studies demonstrate the determinants of spatial variations in new firm formation, almost all literatures neglect the difference of the determinants across industries. We analyze the determinants of regional variation in new firm formation by industry using the 47 prefectural data in Japan. The results of our analysis show the following evidences; 1) gross regional expenditures (GRE) is the factor promoting the new firm formation in all industries, but impact of GRE greater in service sectors than in manufacturing sectors; 2) the average wage is the important factor in manufacturing sectors, while the factor is not significant in service sectors; 3) the industrial agglomeration contributes to stimulate the new firm formation in service sectors.

DOI： 10.15027/28820

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Authorship：Lead author,　Corresponding author   Language：Japanese   Publishing type：Research paper (bulletin of university, research institution)   Publisher：Iwanami Shoten, Publishers  

This paper examines the effects of industrial agglomeration on productivity growth in new growth sectors. Our analysis employing 4-digit data of Japanese manufacturing industries shows that 1) ceramic, stone and clay products, general machinery, precision instruments and machinery, enjoy the advantage generated by the close location to the other industries, 2) new manufacturing technology sectors, such as industrial robots, tend to receive agglomeration effects, although information technology sectors do not, 3) most new growth sectors gain profit from economies of scale at a very local level. These findings reveal that the new growth sectors benefit from agglomeration effects and face market competition.

DOI： 10.15057/21888

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Other Link： https://hdl.handle.net/10086/20288

Authorship：Lead author,　Corresponding author   Language：Japanese   Publishing type：Research paper (bulletin of university, research institution)  

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J-GLOBAL

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Other Link： https://ndlsearch.ndl.go.jp/books/R000000004-I8038577

Authorship：Lead author,　Corresponding author   Language：Japanese   Publishing type：Research paper (bulletin of university, research institution)  

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Other Link： https://ndlsearch.ndl.go.jp/books/R000000004-I8038484

Authorship：Lead author,　Corresponding author   Language：Japanese   Publishing type：Research paper (bulletin of university, research institution)   Publisher：The Economic Association of Okayama University  

This paper reviews existing literature on dynamic externalities which is the fountainhead of competitive advantages, and argues that rigorous theoretical and empirical analysis is needed to increase understanding of the role of technological spillovers in generating regional growth. Empirical analysis of knowledge spillovers is broadly performed in the field of industrial organization. Recently, a number of empirical analyses aiming at verifying technological spillovers accompanying R&Dactivity of companies have been conducted. In recent empirical literature on spatial agglomeration, many papers find evidence consistent with dynamic externalities. Especially, growing bodies of research have estimated the extent and type of dynamic externalities. Despite the different data sources used, methodologies are similar. As the survey of some methodologies has been carried out by McDonald (1997), this paper reviews the mainempirical analyses of dynamic externalities as the complement−positioning.

DOI： 10.18926/OER/40591

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Other Link： http://id.ndl.go.jp/bib/6882200

Authorship：Lead author,　Corresponding author   Language：Japanese   Publishing type：Research paper (scientific journal)   Publisher：The Applied Regional Science Conference  

We investigate the way dynamic production externalities promote industrial growth in Japanese manufacturing industries. In contrast to previous studies, we characterize dynamic externalities by total factor productivity. Using panel data for Japanese prefectures from 1985 thorough 2000, we find evidence of localization (MAR) externalities and urbanization (Jacobs) externalities. However, we do not find clear evidence that dynamic externalities play the role of centripetal forces for industrial location.

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Authorship：Lead author   Language：Japanese   Publishing type：Article, review, commentary, editorial, etc. (other)  

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Authorship：Lead author   Language：Japanese   Publishing type：Internal/External technical report, pre-print, etc.  

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Other Link： https://ndlsearch.ndl.go.jp/books/R000000004-I023518377

Authorship：Lead author   Language：Japanese   Publishing type：Article, review, commentary, editorial, etc. (other)  

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Authorship：Lead author   Language：Japanese   Publishing type：Article, review, commentary, editorial, etc. (other)  

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Authorship：Lead author   Language：Japanese   Publishing type：Internal/External technical report, pre-print, etc.  

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Other Link： https://ndlsearch.ndl.go.jp/books/R000000004-I10228285

Authorship：Lead author,　Corresponding author   Language：English   Publishing type：Internal/External technical report, pre-print, etc.   Publisher：University of Illinois Urbana-Champaign  

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Authorship：Lead author   Language：Japanese   Publishing type：Article, review, commentary, editorial, etc. (other)  

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Other Link： https://ndlsearch.ndl.go.jp/books/R000000004-I8813257

Authorship：Lead author   Language：Japanese   Publishing type：Internal/External technical report, pre-print, etc.  

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Other Link： https://ndlsearch.ndl.go.jp/books/R000000004-I8773964

Language：Japanese   Publishing type：Internal/External technical report, pre-print, etc.  

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Other Link： https://ndlsearch.ndl.go.jp/books/R000000004-I8773922

Language：Japanese   Publishing type：Article, review, commentary, editorial, etc. (other)  

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Language：Japanese   Publishing type：Internal/External technical report, pre-print, etc.  

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Other Link： https://ndlsearch.ndl.go.jp/books/R000000004-I7976427

Authorship：Lead author   Language：Japanese   Publishing type：Internal/External technical report, pre-print, etc.  

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Other Link： https://ndlsearch.ndl.go.jp/books/R000000004-I7962889

Authorship：Lead author   Language：Japanese   Publishing type：Internal/External technical report, pre-print, etc.  

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Other Link： https://ndlsearch.ndl.go.jp/books/R000000004-I7413664