This study focuses on the effectiveness of regional business support programs funded by South Korea's Balanced National Development Special Account, one of the policies designed to address regional imbalances and promote local autonomy. Using the analytical approach including DEA (Data Envelopment Analysis) methodology, This study analyzed the efficiency of 76 star companies in the Jeonbuk region based on their performance from 2018 to 2023. This study was designed to improve previous studies limitations, which only analyzed simple input-output efficiency in the short term, by using six years of mid-term data to comprehensively evaluate input variables in both R&D and Non-R&D sectors. The main purpose of this study is to analyze the effectiveness of the expiring Star Company Development Program by evaluating efficiency of supported company groups using DEA and to propose support models and policy suggestions for upcoming regional specialized industries support program by identifying the features of both optimal and inefficiency models. For this, employments along with financial indicators such as sales revenue, operating profit, and total assets were set as output variables, with R&D and non-R&D support amounts were set as input variables for analysis. According to the results, the optimal efficiency model group has strong intellectual property acquisition capabilities, and continuous R&D investment. It shows that continuous innovation activities are a key factor for improving the effectiveness of support. This study found that, from a mid․long term perspective, policy support programs should be customized by unique characteristics of each industry field, Based on this, it was suggested that upcoming regional specialized industry support programs in the Jeonbuk region should include policy planning and support program design to complement the weaknesses of each industry field.

1. 서 론
2. 이론적 배경
    2.1 효율성과 DEA
    2.2 선행연구 검토
3. 연구 방법론
    3.1 연구모형
4. 자료분석
    4.1 데이터 설명
    4.2 데이터 전처리
    4.3 기초분석
    4.4 군집분석
    4.5 DEA
5. 분석결과
    5.1 최적 효율 모델의 특성 분석
    5.2 저효율 모델의 특성 분석
6. 결 론
    6.1 정책적 제언
    6.2 연구의 한계
References

• Yongbin Han(Graduate School of Technology Management, Jeonbuk National University) | 한용빈 (전북대학교 일반대학원 융합기술경영학과(MoT))
• Jaekyung Yang(Department of Industrial and Information Systems Engineering, Jeonbuk National University) | 양재경 (전북대학교 산업정보시스템공학과) Corresponding author