日本の飲食料品店舗密度に関するパネル分析

概要

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We tried regression analyses on a prefectural panel dataset from 1960 to 1997, explaining the density (per capita number of stores) of grocery, perishable food stores and supermarkets mainly from income and the number of registered cars.These two independent variables explains the density highly successfully, but the fitnesses are much worse in cross-section analyses using only the data of an year; especially, the number of cars has different sign of coefficients between earlier period and later. In 1960s per capita passenger cars were more in urban prefectures, but it reversed recently. This fact suggests per capita income explains (the change of) cross-section difference, and per capita passenger cars represents long-term change between urban and rural area.