Empirical Analysis on an “Associated Population” in Contemporary Japanese Society: From A National Level Survey Results
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- SUGIMOTO Aoi
- 正会員 水産研究・教育機構
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- SUGINO Hiroaki
- 正会員 東京大学大学院農学生命科学研究科
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- UEDA Shoko
- 非会員 飛騨市役所
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- FUNASAKA Kanako
- 非会員 (株)ヒダカラ
Bibliographic Information
- Other Title
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- 現代日本社会における「関係人口」の実態分析: 全国アンケート調査の結果から
Description
<p>ABSTRACT : As a super-aging society is approaching the country, Japan recognizes the urgent need to sustain local communities including farming, forestry, and fishing villages. “Associated populations” have been regarded as one of the potential solutions to tackle this issue and are gaining notable social attention these days. However, few empirical study has been conducted on this phenomenon yet. This study, therefore, aims to show the empirical figures of associated populations and discuss what they mean in the context of contemporary Japanese society. National level survey (N=5,000) showed that 40.4% of sample answered that they have specific community to which they think are “associated”. The most frequently answered association was kinship/life-stage based ones but there were also many other answers indicating non-kinship/life-stage based association through which people are showing high levels of place attachment with the communities. Notably, results also found that there are many people who have very low place attachment with communities based on kinship/life-stage. This study indicated that the people-local communities relations vary from negative to positive regardless of kinship ties. We suggest that it is important to develop the understandings on the “quality” of the relationship between people and local communities rather than pursuing the “quantity” of either residential/associated/touristic population, for the more meaningful policy discussion over community revitalization.</p>
Journal
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- Journal of Coastal Zone Studies
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Journal of Coastal Zone Studies 33 (3), 49-58, 2020-12-31
Japanese Association for Coastal Zone Studies
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Keywords
Details 詳細情報について
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- CRID
- 1390858752008091008
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- ISSN
- 24369837
- 13496123
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- Text Lang
- ja
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- Data Source
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- JaLC
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- Abstract License Flag
- Allowed