삶의 질 지표에 기반한 농어촌 지역별 유형분류 및 요인분석
Classifying Korean Rural Areas in Terms of Quality of Life by Using the Multivariate Analysis
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This paper aims to classify rural areas by using the multivariate techniques of factor and cluster analysis. These methods are applied to rural areas cross sectional data from 2005, categorizing relatively homogeneous rural areas in terms of public education, medical service, social welfare services and amenities. The results of a cluster analysis indicate the presence of three clusters. The classification of rural areas thus results in three distinctively different types. Also, the results show that the clustering is influenced mainly by population, kindergarten, pharmacy, financial agency, and public garden. These findings highlight the importance of differentiated planning for the improvement of quality of life in rural areas.
Abstract
This paper aims to classify rural areas by using the multivariate techniques of factor and cluster analysis. These methods are applied to rural areas cross sectional data from 2005, categorizing relatively homogeneous rural areas in terms of public education, medical service, social welfare services and amenities. The results of a cluster analysis indicate the presence of three clusters. The classification of rural areas thus results in three distinctively different types. Also, the results show that the clustering is influenced mainly by population, kindergarten, pharmacy, financial agency, and public garden. These findings highlight the importance of differentiated planning for the improvement of quality of life in rural areas.
참고문헌 (14)
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