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논문 기본 정보

자료유형
학술저널
저자정보
홍상원 (한국농어촌공사) 배승종 (서울대학교 그린바이오과학기술연구원) 김동현 (전북대학교 농공학과) 김수진 (서울대학교 그린바이오과학기술연구원) 김정태 (한국농어촌공사 농어촌연구원) 장태일 (전북대학교 지역건설공학과)
저널정보
한국농촌계획학회 농촌계획 농촌계획 제27권 제1호
발행연도
2021.1
수록면
57 - 70 (14page)

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ABSTRACT : The degree of benefits of living services related to the quality of life can solve the depopulation problem, and it is necessary to be able to quantitatively analyze problems related to the quality of life in rural areas in order to cope with the rural depopulation. The purpose of this study was to develop the assessment model of a village-level rural living service that reflects the regional characteristics of rural villages to evaluate the level of rural living services for response rural depopulation. Based on the review of previous related studies, the evaluation index was composed of seven sectors of education, health, welfare, culture, environment, safety, and convenience, and the assessment model of a rural living service was established. This model was evaluated through a sample survey of 90 villages in Nonsan-si, Seongju-gun, and Pyeongchang-gun. As a result of the rural life services evaluation by Si and Gun, Seongju-gun, which is affected by nearby large cities, has the largest variation by village level and is assessed at a lower level overall than other Si and Gun. As a result of the rural life services evaluation by 7 sectors, in the case of health and welfare, low scores were shown in the assessment model, but the level of residents’ satisfaction was mid-level. In particular, in the case of Seongju-gun, there were significant differences in the assessment model and the survey results of the level of residents’ satisfaction in the health and welfare sectors due to the influence of nearby large cities. As a result of analyzing the number of villages corresponding to the top 30% and the bottom 30% of the evaluation results for each sector, it was analyzed that the villages with the highest evaluation results in Pyeongchang-gun in both the assessment model and the level of residents’ satisfaction. It implies that quantitative analysis of data based index and accessibility as well as level satisfaction of residents are necessary.

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