著者

江端 杏奈 吉田 崇紘 爲季 和樹 瀬谷 創 堤 盛人

出版者

一般社団法人 地理情報システム学会

雑誌

GIS-理論と応用 (ISSN:13405381)

巻号頁・発行日

vol.29, no.1, pp.1-10, 2021 (Released:2023-10-03)

参考文献数

29

被引用文献数

1

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This study highlights spatial associations of the hometown tax payment, which is a tax donation program to municipalities of taxpayers' favorite choices in Japan and is called as Furusato Nozei. The program has become an important source of revenue for low-funded municipalities. With increasing donations, the disparity between municipalities widens. To the best of our knowledge, thus far, no study has discussed the spatial characteristics from a quantitative perspective. In this study, a local indicator of spatial associations, the local Moran statistic, is used for hotspot analysis of donations made to each municipality. The results indicate the presence of spatial agglomerations, where taxpayers are aware of high return rates of their donations or reconstruction assistance for the Great East Japan Earthquake. The results also suggest that when adjacent to a municipality receiving the donation higher than the average, municipalities can be 7.8% more likely to become the same class.

著者

吉田 崇紘 堤 盛人

出版者

一般社団法人 地理情報システム学会

雑誌

GIS-理論と応用 (ISSN:13405381)

巻号頁・発行日

vol.25, no.2, pp.79-89, 2017-12-31 (Released:2019-12-31)

参考文献数

24

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Demographic composition, e.g., population composition by age-groups, is one of the most basic information for discussing regional issue or planning. The present study compares the future Japan through 2010-2060, estimated by National Institute of Population and Social Security Research, with all municipalities in 2010 from the perspective of demographic compositions classified by fiveyear age groups (0-4, 5-9, ..., 90+). The (dis-)similarity of compositional data can be measured with Aitchison distance, one of the core concepts of compositional data analysis. We create choropleth maps based on Aitchison distance. The maps, for example, indicate that the demographic composition of Sobetsu-cho of Hokkaido prefecture of 2010 is the most analogous of the future of Japan of 2060.