In Japan, administrative divisions are classified in 47 prefectures. Among them, eight that do not face the sea are designated as “inland prefectures.” These inland prefectures are considered to have different properties than “coastal prefectures”—those that face the sea. Therefore, in this study, we quantitatively analyze the influence of several factors on the value of manufactured goods shipments from inland and coastal prefectures, based on our previous studies. These factors include 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 economy, before and after the Lehman shock, and so on. This analysis model is characterized by handling time series quantitative and qualitative data. We validate the model by conducting an empirical analysis using time series data. Furthermore, we attempt to quantitatively grasp the common points and differences between the industrial structures of inland and coastal prefectures, based on estimates of parameters obtained from the empirical analysis. Furthermore, we will consider expanding the application of our analysis model not only to domestic but also overseas data.