Relationship between population change and resident characteristics: The case of the Nagasaki Prefecture in Japan
Population decline is currently a serious problem in Japan. In this study, the population change rates of municipalities in the Nagasaki Prefecture were examined using a classification of the resident characteristics of small areas. A total of 14 variables were selected from the small area data of t...
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| Format: | Article |
| Language: | English |
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Elsevier
2019-12-01
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| Series: | Journal of Urban Management |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2226585619300573 |
| _version_ | 1828933062146129920 |
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| author | Yukiya Iwasaki |
| author_facet | Yukiya Iwasaki |
| author_sort | Yukiya Iwasaki |
| collection | DOAJ |
| description | Population decline is currently a serious problem in Japan. In this study, the population change rates of municipalities in the Nagasaki Prefecture were examined using a classification of the resident characteristics of small areas. A total of 14 variables were selected from the small area data of the 2015 census to examine the resident characteristics of the small areas, and these variables were analyzed via factor and cluster analyses. As a result, the variables were classified into six resident characteristic clusters. The classified resident characteristics are Cluster 1: urban professionals, Cluster 2: nuclear families with children living in rental housing, Cluster 3: areas without residents, Cluster 4: blue-collar workers, Cluster 5: manufacturing and industry workers, and Cluster 6: typical farmers. We conducted a regression analysis using the population change rate in each municipality as a response variable and each of the six regions classified in the municipalities as the explanatory variable. We found that Cluster 2 has the greatest influence on the population growth rate. We examined the distribution of each regional classification. It is suggested that the areas classified as Cluster 2 are often distributed in areas outside densely inhabited districts and that emerging residential areas for nuclear family households with children are formed in the suburbs of cities. Municipalities with a high proportion of Cluster 2 are likely to be commuting towns in the Nagasaki and Sasebo employment metropolitan areas, suggesting that the population reduction rate is low due to the accumulation of residents from surrounding areas. Keywords: Population change, Resident characteristics, Factor analysis, Emerging residential area |
| first_indexed | 2024-12-14T01:10:53Z |
| format | Article |
| id | doaj.art-11764193b09f4847bb6c72fc6941b069 |
| institution | Directory Open Access Journal |
| issn | 2226-5856 |
| language | English |
| last_indexed | 2024-12-14T01:10:53Z |
| publishDate | 2019-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Journal of Urban Management |
| spelling | doaj.art-11764193b09f4847bb6c72fc6941b0692022-12-21T23:22:45ZengElsevierJournal of Urban Management2226-58562019-12-0183435446Relationship between population change and resident characteristics: The case of the Nagasaki Prefecture in JapanYukiya Iwasaki0Tsushima Branch of Nagasaki Prefectural Office, 224 Miyatani, Izuhara-machi, Tsushima, Nagasaki 817-8520, JapanPopulation decline is currently a serious problem in Japan. In this study, the population change rates of municipalities in the Nagasaki Prefecture were examined using a classification of the resident characteristics of small areas. A total of 14 variables were selected from the small area data of the 2015 census to examine the resident characteristics of the small areas, and these variables were analyzed via factor and cluster analyses. As a result, the variables were classified into six resident characteristic clusters. The classified resident characteristics are Cluster 1: urban professionals, Cluster 2: nuclear families with children living in rental housing, Cluster 3: areas without residents, Cluster 4: blue-collar workers, Cluster 5: manufacturing and industry workers, and Cluster 6: typical farmers. We conducted a regression analysis using the population change rate in each municipality as a response variable and each of the six regions classified in the municipalities as the explanatory variable. We found that Cluster 2 has the greatest influence on the population growth rate. We examined the distribution of each regional classification. It is suggested that the areas classified as Cluster 2 are often distributed in areas outside densely inhabited districts and that emerging residential areas for nuclear family households with children are formed in the suburbs of cities. Municipalities with a high proportion of Cluster 2 are likely to be commuting towns in the Nagasaki and Sasebo employment metropolitan areas, suggesting that the population reduction rate is low due to the accumulation of residents from surrounding areas. Keywords: Population change, Resident characteristics, Factor analysis, Emerging residential areahttp://www.sciencedirect.com/science/article/pii/S2226585619300573 |
| spellingShingle | Yukiya Iwasaki Relationship between population change and resident characteristics: The case of the Nagasaki Prefecture in Japan Journal of Urban Management |
| title | Relationship between population change and resident characteristics: The case of the Nagasaki Prefecture in Japan |
| title_full | Relationship between population change and resident characteristics: The case of the Nagasaki Prefecture in Japan |
| title_fullStr | Relationship between population change and resident characteristics: The case of the Nagasaki Prefecture in Japan |
| title_full_unstemmed | Relationship between population change and resident characteristics: The case of the Nagasaki Prefecture in Japan |
| title_short | Relationship between population change and resident characteristics: The case of the Nagasaki Prefecture in Japan |
| title_sort | relationship between population change and resident characteristics the case of the nagasaki prefecture in japan |
| url | http://www.sciencedirect.com/science/article/pii/S2226585619300573 |
| work_keys_str_mv | AT yukiyaiwasaki relationshipbetweenpopulationchangeandresidentcharacteristicsthecaseofthenagasakiprefectureinjapan |