Measuring Economic Localization: Evidence from Japanese Firm-level Data

This paper examines location patterns of Japan’s manufacturing industries using a unique firm-level dataset on the geographic location of firms. Following the point-pattern approach proposed by Duranton and Overman (2005), we find the following. First, about half of Japan’s manufacturing industries can be classified as localized and the number of localized industries is largest for a distance level of 40 km or less. Second, several industries in the textile mill products sector are among the most localized, which is similar to findings for the UK, suggesting that there exist common factors across countries determining the concentration of industrial activities. Third, the distribution of distances between entrant (exiting) firms and remaining firms is, in most industries, not significantly different from a random distribution. These results suggest that most industries in Japan neither become more localized nor more dispersed over time and are in line with similar findings by Duranton and Overman (2008) for the UK. Fourth, a comparison with the service sector indicates that the share of localized industries is higher in manufacturing than in services, although the extent of localization among the most localized manufacturing industries is smaller than that among the most localized service industries, including financial service industriesMicro-geographic data, Economic geography

Do Larger Firms Have More Interfirm Relationships?

In this study, we investigate interfirm networks by employing a unique dataset containing information on more than 800,000 Japanese firms, about half of all corporate firms currently operating in Japan. First, we find that the number of relationships, measured by the indegree, has a fat-tail distribution, implying that there exist "hub" firms with a large number of relationships. Moreover, the indegree distribution for those hub firms also exhibits a fat tail, suggesting the existence of "super-hub" firms. Second, we find that larger firms tend to have more counterparts, but that the relationship between firms' size and the number of their counterparts is not necessarily proportional; firms that already have a large number of counterparts tend to grow without proportionately expanding it.

Bubble burst as jamming phase transition

Recently research on bubble and its burst attract much interest of researchers in various field such as economics and physics. Economists have been regarding bubble as a disorder in prices. However, this research strategy has overlooked an importance of the volume of transactions. In this paper, we have proposed a bubble burst model by focusing the transactions incorporating a traffic model that represents spontaneous traffic jam. We find that the phenomenon of bubble burst shares many similar properties with traffic jam formation by comparing data taken from US housing market. Our result suggests that the transaction could be a driving force of bursting phenomenon.Comment: 9 pages,12 figure

The Localization of Interfirm Transaction Relationships and Industry Agglomeration

Using a unique dataset of more than 140,000 manufacturing firms in Japan containing information on their suppliers and customers, this paper looks at the physical distances between transaction partners to examine the localization of transaction relationships. We find the following. First, based on a counterfactual that controls for the location of firms and their potential partners, transaction relationships in about 90 to 95% of the 150 three-digit manufacturing industries can be labelled as localized at distances of 40km or less. This indicates that physical distance is a key factor in firms' choice of transaction partners. Second, based on a counterfactual that controls for the average distance of transaction relationships in the manufacturing sector as a whole, we find that in about 40?% of industries transaction relationships are localized at short distances of up to 40km. Third, the extent of industrial localization and the extent of the localization of transaction relationships are positively correlated. However, there are a number of exceptions and we provide potential explanations for these.近未来の課題解決を目指した実証的社会科学推進事業25 p