Track: Engineering Management

Abstract

In Japan, administrative divisions are classified in 47 prefectures. Among them, there are 8 prefectures with “inland prefecture” that isn’t facing the sea. These inland prefectures are considered to have different properties from “coastal prefecture” that is facing the sea. Therefore, in this study, we quantitatively analyze the influence of the following factors on value of manufactured goods shipments of “inland prefecture” and “coastal prefecture”, based on our previous studies. These factors are population, area, value of forestry goods shipments, value of fishery goods shipments, presence of ordinance-designated city, before and after the collapse of the bubble, before and after the Lehman shock, and so on. This analysis model is characterized by handling time series quantitative data and qualitative data. In this study, we validate the model by conducting empirical analysis model using time series data. Furthermore, we will try to quantitatively grasp the common points and differences of the industrial structure between inland prefecture and coastal prefecture based on estimates of parameters obtained from such empirical analysis. Furthermore, we will consider expanding application of our analysis model not only to domestic data but also to overseas data.