인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
피인용 0
초록·키워드
This study aims to measure the efficiency of local governments and empirically analyze its determinants. To this end, Data Envelopment Analysis (DEA) using the BCC model was applied to 17 metropolitan cities and 5 special cities in Korea over the period 2016 to 2023—a period marking the diffusion of the Fourth Industrial Revolution and accelerating regional economic transformation. The number of employees in the manufacturing sector and the year-end balance of tangible assets were used as input variables, while value-added was used as the output. DEA efficiency scores were then used as the dependent variable in a Tobit regression, with fiscal indicators such as local revenue, fiscal self-reliance ratio, fiscal independence ratio, and debt-to-asset ratio as independent variables. The results show that local revenue and the fiscal self-reliance ratio have a statistically significant positive relationship with efficiency, while the debt-to-asset ratio has a significant negative effect. Fiscal independence was found to be statistically insignificant. These findings suggest that enhancing local efficiency requires not only increased financial input but also a focus on securing predictable, sustainable financial resources and developing strategic fiscal governance. The results provide meaningful policy implications for improving local economic performance under constrained fiscal conditions.
본문·목차
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