Earticle

초록

영어

From the comparative perspectives, this paper aims at analyzing efficiency indices related with performance of the old industrial complex in Korea. To examine the status quo of old industrial complex, it applies Data Envelopment Analysis(DEA) and its derivative methods. The study covers nationwide 73 general industrial complex. For the in-depth analyses, this study compares 2014 values based on the DEA models and technical productivity growth values derived from the Mamquist productivity index models between 2009 and 2013 in the old industries complex. Major findings are as follows: first of all, in the DEA models, 23 old industrial complex mark the higher input-oriented BCC efficiency values. Among them, the efficiency value of 18 old industrial complex is "1". In contrast, the median and lower efficiency values are observed in the 29 and 21 old industrial complex, respectively. Secondly, technical productivity growth values based on the Mamquist productivity index models record about 2.9% increase per year between 2009 and 2013. Among 73 general industrial complex, 44(60.3%) yield positive results in the technical productivity growth. In contrast, 22(30.1%) experience decrease in the technical productivity growth values during the 5-year period. The rest 7(9.6%) show stagnant in the same categories. In terms of technical change, the technical indices have increased 0.1% in average. In specific, 30(41%) old industrial complex present positive values in the technical change indices. However, the opposite are true in 41(51.1%) old industrial complex. In addition, the average productivity index change is 3%. Among them, 51(69.9%) gains positive productivity index change and the opposite records are observed in 22(30.1%). These results imply the fact that the basic regeneration policies for the old industrial complex may require a series of counter-measures reflecting the efficiency values. Among them, these industrial complex should pay due attention to ensuring sustainable workforce, going beyond physical improvement of industrial facilities.

목차

Abstract
 1. 서론
 2. 관련 개념 및 선행연구 검토
  2.1. 노후산업단지의 개념 정의
  2.2. 선행 연구 고찰
 3. 자료포락분석(data envelopment analysis, DEA) 방법론 개관
  3.1. DEA 효율성 측정모형
  3.2. MPI 효율성 측정모형
 4. 자료 및 분석결과
  4.1. 분석 대상
  4.2. 변수 선정
  4.3. 분석 결과
 5. 결론
 주
 부록
 참고문헌

키워드

저자

• 안유정 [ Ahn, Yoo-Jeong | 충북대학교 환경ㆍ도시공학과 박사 ] 주저자
• 이만형 [ Lee, Man-Hyung | 충북대학교 도시공학과 교수 ] 교신저자

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  한국지역개발학회지 [Journal of the Korean Regional Development Association]

• 간기

  연5회

• pISSN

  1225-9055

• 수록기간

  1989~2026

• 등재여부

  KCI 등재

• 십진분류

  KDC 322 DDC 330