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http://dx.doi.org/10.22669/krsa.2022.38.2.021

Comparison of Subjective Quality of Life by Settlement Type Using Propensity Score Matching Method  

Kwon, Inhye (서울대학교 환경대학원 환경계획학과, 한국농촌경제연구원)
Park, In Kwon (서울대학교 환경대학원 환경계획학과, 환경계획연구소)
Publication Information
Journal of the Korean Regional Science Association / v.38, no.2, 2022 , pp. 21-41 More about this Journal
Abstract
The purpose of this study is to compare the differences in the subjective quality of life (QoL) perceived by residents in different settlement spaces such as urban vs. rural and Seoul Capital Area (SCA) vs. Non-Capital Area (NCA). Using the data of the 'Quality of Life Satisfaction Survey for Balanced Development' conducted nationwide by the Presidential Committee for Balanced National Development in 2018, a propensity score matching method was introduced to compare the differences between the types of settlement spaces. The results show that no significant difference is found between all the types in satisfaction with local life, and in the case of happiness, rural residents show a higher level than those living in cities. Looking at the quality of life by QoL domain, the QoL of urban residents in SCA is generally the highest in the basic living environment, medical care, and culture/leisure domains, while the QoL of rural residents in the job/income, environment, community, and welfare domains is higher than that of residents of SCA and NCA cities. Interestingly, in no domains NCA cities show their relative strength. These results show the value of rural areas in the face of increasingly prevailing urbanization trends, and suggests that the value of rural areas must be strengthened for rural development. It is necessary to pursue policy efforts such as rural regeneration based on spatial planning in order to respond to the disorganized development that damages the value of the rural environment and landscape and to harmoniously maintain and develop the rural settlement.
Keywords
Subjective quality of life; settlement space; urbanization; rural values; propensity score matching;
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