要旨：Long-term development of a social capability of regional preparedness against disaster requires both general knowledge and local knowledge; the former is developed to be scientific and systematized by professional researchers and practitioners, although it can not be appropriately applied in communities without the latter which includes local geographical features, characteristics of community members and theirs relationships and so on. This study formulates an economic growth model under disaster risk, where it exclusively focuses on two inherent process of knowledge development: “Opportunity-based learning (OBL)” and “Knowledge matching”. OBL is a concept that we have new findings whenever we are hit by disasters of unparalleled scales. In other words, we would never expect all the results beforehand by means of model analyses and simulations, and are therefore motivated to go for surveys immediately after disasters to obtain new problems to be solved. “Knowledge matching” is achieved by an appropriate meeting of a specialist and a community where the specialist’s expertise plays a crucial role. A search model is incorporated into the regional growth model to express the matching process of specialists and regions that results in “Knowledge matching”. The study develops a new type of Research and Development (R&D) model of innovation of disaster prevention.

要旨：This study explores the spatial pattern of industry dynamics in the counties in the Nagoya metropolitan area, Japan, during the period 1986-2006. The methods of exploratory spatial data analysis (ESDA) are applied to investigate spatial growth clusters of the manufacturing industries as well as the services. In particular, we introduce the spatial weight matrix that reflects both geographical and technological proximity into ESDA. The descriptive results based on the spatial statistics explicitly taking into account technological proximity identify a positive association between the industrial growth more clearly than do the statistical results based only on geographical proximity. It is also found that the local spatial statistics detect the positive multilayered growth clusters with different industrial composition and geographical scales.

要旨：We extend the model of Haufler and Wooton (1996) and construct a model with three countries in which a firm selects its location. A firm can select a location country from two countries, while in the third country, there is a market for the firm and are competitive rival firms. Then, the effect of the third country's market induces the firm to locate at a closer country from the third country. On the other hand, the effect of the existence of rival firms makes the firm to locate at a further country from the third country. With this framework, we study the location behavior of the firm, and consequences of tax competition between two countries and two countries' trade union.

要旨：This paper empirically tests the relationship among wage, market potential and interregional migration using structural estimation method in the framework of economic geography. We investigate migration of manufacturing workers between 47 Japanese prefectures. As a result we find that nominal wage is positively correlated with market potential and higher real wage prefecture attracts workers.