DEA 및 DEA-Window 분석을 통한 광역시⋅도별 중소기업 지원의 정태적/동태적 효율성 분석

This study examines the static and dynamic efficiency of SME support programs implemented by 17 regional governments in South Korea over the period 2018-2022. The analysis uses the number of support programs and total budget as input variables, and the number of SMEs, employees, and total sales as outputs. Dynamic efficiency was assessed using the DEA-Window method, while static efficiency for 2022 was evaluated through input-oriented CCR and BCC models. The dynamic analysis revealed that Seoul and Gyeonggi maintained consistently high efficiency scores, whereas Gangwon, Daegu, and Jeonbuk exhibited relatively low dynamic efficiency levels, ranging from 0.3 to 0.5, indicating the need not only to enhance the efficiency of SME support policies, but also to improve the structural stability and sustainability of policy outcomes. In the static analysis, Gyeonggi, Gyeongnam, Seoul, Sejong, and Chungnam achieved full technical efficiency. However, Sejong’s low scale efficiency suggests the need for better alignment between resource input and program scale. Reference set analysis identified Sejong as a benchmark 11 times, followed by Seoul and Chungnam(9 times), and Gyeonggi and Gyeongnam(2 times). This study contributes by presenting the first comprehensive evaluation of SME support policy efficiency at the metropolitan level in both static and dynamic dimensions. Based on the findings, the study offers policy implications including scaling adjustments according to regional returns to scale, wider adoption of integrated program management systems, and targeted monitoring in regions with large efficiency fluctuations.