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A Study on the Selection of Indicators and the Utilization of Public Data for the Diagnosis of Rural Areas - Focusing on Social, Environmental and Cultural Data -

농촌지역 진단을 위한 지표 선정과 공공데이터 활용 방안 - 사회·환경·문화를 중심으로 -

  • Do, Jee yoon (Rural Environment&Resources Division, National Institute of Agricultural Sciences) ;
  • Kim, Sang-Bum (Rural Environment&Resources Division, National Institute of Agricultural Sciences) ;
  • Kim, Suyeon (Rural Environment&Resources Division, National Institute of Agricultural Sciences)
  • 도지윤 (국립농업과학원 농촌환경자원과) ;
  • 김상범 (국립농업과학원 농촌환경자원과) ;
  • 김수연 (국립농업과학원 농촌환경자원과)
  • Received : 2023.10.10
  • Accepted : 2023.11.16
  • Published : 2023.11.30

Abstract

This study was conducted to review data utilization plans and suggest solutions based on the need for tools that can objectively diagnose problems in rural areas. The study extracted items through prior research and was carried out as a process of reviewing data capable of constructing spatial data. The results performed in the above manner are as follows. First, prior research and expert surveys were conducted to select diagnostic items to derive details of a total of three items that should be considered for rural space plans such as regional revitalization and regeneration using regional characteristics such as environment, society, and culture. Second, as a result of listing data available for regional diagnosis, 6 types of environment, 15 types of society, and 18 types of culture were selected out of a total of 529. Finally, it was suggested to establish a national standard spatial unit by grasping the limitations of public data such as omission of spatial data and accuracy. This study is significant in that it presented implications for data utilization as well as selection of items for rural diagnosis and reviewed data utilization based on rural specialized districts of "The Act on Support for Restructuring and Regeneration of Rural Spaces" to be implemented in 2024. This is considered to be valuable as a study for sustainable rural diagnosis if processes such as spatial data construction and weight setting are carried out in the future.

Keywords

Acknowledgement

이 논문은 농촌진흥청 농업 정책지원 기술개발사업의 지원을 받아 수행되었음(과제번호 : RS-2022-RD010227, 과제명 : 농촌 생활인프라와 환경요인을 고려한 생활권 진단기법 개발).

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