2023 年 53 巻 1 号 p. 19-35
Half the municipalities in Japan might disappear because of depopulation by 2040. The reasons for this include relocating from a hometown to the Tokyo area with getting employment or entering into university. Therefore, it is considered that each municipality is required to understand the factors for local settlement and to promote local settlement through the U-turn or J-turn. Customer satisfaction (CS) analysis is among the methods for searching improvement factors using CS space which has an axis of satisfaction degree of each evaluation item and axis of importance which are simple correlation coefficients between a comprehensive evaluation and each evaluation item. But above-mentioned general CS analysis is problematic in which each importance of each evaluation item cannot be deemed a unique improvement effect. Based on these backgrounds, we newly propose three-dimension CS space which enable CS analysis considering both the simple improvement effect and unique improvement effect of each evaluation item. We also explore the improvement factors for the local settlement intention of natives of a local city in Japan focusing on the experience of relocating at entrance into university and a hometown area applying CS analysis based on the three-dimension CS space.
In this study, first, we defined a partial-importance CS space and three-dimension CS space. Next, we conducted an attitude survey for entrance into university and local settlement intention in Japan, and compared 3 CS analysis results by means of general CS space, partial-importance CS space and three-dimension CS space, based on the survey. Based on an analysis result, it was indicated that CS analysis based on the three-dimension CS space can explore improvement factors considering both the simple improvement effect including the relationships between each evaluation item and unique improvement effect excluding the effect from other evaluation items of each evaluation item. Additionally, we analyzed the improvement factors for the local settlement intension of natives of a local city in Japan focusing on the experience of relocating at entrance into university and a hometown area applying CS analysis based on the three-dimension CS space to the results of that survey. The results showed that “options of employment” and “regional attachment” are important factors for improving local settlement intension regardless of experience of relocating at entrance into university and a hometown area.
JEL Classifications:C44, C60, I28, R58
