Comparative Analysis of the Components Affecting Local Vitality and Resident Well-Being in All Regions of Japan: Approach using Bayesian Network Modeling

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Other Title
  • 日本の地域の元気度や幸福感に影響を与えている構成要素の地域間比較分析
  • ──ベイジアンネットワークモデリングによるアプローチ──

Abstract

<p>　To maintain a vibrant Japanese society, analysis of how to revitalize local areas is needed.　In modeling, individual residents’ feelings of well-being and the vitality of the concerned area, as well as the features of the residential area should be included as explanatory variables.　Many local governments try to improve local vitality and resident well-being.　However, no comprehensive analysis of factor structures of local vitality and well-being of residents has ever been done in Japan.　Therefore, we analyzed factor structures of local vitality and well-being of residents in each prefecture in Japan using a Bayesian network model.　Furthermore, we extracted effective variables for the improvement of the feeling of vitality and well-being by probabilistic reasoning.　In addition, we classified prefectures by the results of probabilistic reasoning, and compared the characteristic variables that affect vitality and well-being among six types. </p><p>JEL Classifications:C11, R11, O53</p>

Journal

  • Studies in Regional Science

    Studies in Regional Science 50 (1), 137-174, 2020

    JAPAN SECTION OF THE REGIONAL SCIENCE ASSOCIATION INTERNATIONAL

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