DEA 모형을 활용한 광주 광산업체 효율성 평가에 관한 연구
A Study on Evaluating the Efficiency of the Photonics Industry in Gwangju Using a DEA Model
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In this study, we try to evaluate the efficiency of the photonics industry using a data envelopment analysis(DEA)model. We first develope four stage procedures for selecting proper input and output variables which consist of selecting the first candidate variables from literature survey, selecting the second candidate variables through experts' discussion, measuring the partial efficiency of the selected variables based on Tofallis’ profiling, and clustering some variables through the rank correlation analysis of partial efficiency proposed by Min and Kim(1998). With this procedure, we select 4 input variables(capital, number of employee, R&D cost, operating cost) and 2 output variables(sales, growth of sales) and then utilize CCR and BCC model to measure efficiencies of 26 photonics companies in Gwangju. Moreover, we perform the reference group analysis to figure out what causes inefficiencies and to provide the desirable values for input and output variables at which inefficient photonics companies become efficient. Finally, we classify 26 photonics companies into three groups such as optical communications, optical applications, and optical sources, and perform the Kruskal-Wallis test to check if there exist some differences between efficiencies of three groups.
Abstract
In this study, we try to evaluate the efficiency of the photonics industry using a data envelopment analysis(DEA)model. We first develope four stage procedures for selecting proper input and output variables which consist of selecting the first candidate variables from literature survey, selecting the second candidate variables through experts' discussion, measuring the partial efficiency of the selected variables based on Tofallis’ profiling, and clustering some variables through the rank correlation analysis of partial efficiency proposed by Min and Kim(1998). With this procedure, we select 4 input variables(capital, number of employee, R&D cost, operating cost) and 2 output variables(sales, growth of sales) and then utilize CCR and BCC model to measure efficiencies of 26 photonics companies in Gwangju. Moreover, we perform the reference group analysis to figure out what causes inefficiencies and to provide the desirable values for input and output variables at which inefficient photonics companies become efficient. Finally, we classify 26 photonics companies into three groups such as optical communications, optical applications, and optical sources, and perform the Kruskal-Wallis test to check if there exist some differences between efficiencies of three groups.
참고문헌 (32)
- 김건식, "자료포괄분석과 생산성지수분석을 이용한 국내 SI기업의 효율성 분석", 한국IT서비스학회지, 5(1), pp.1~16 (2006), 한국IT서비스학회
- 김영태, "DEA를 활용한 ERP시스템 도입 중소기업의 운영효율성 측정에 관한 연구: 자동차 부품 산업을 중심으로", 한국생산관리학회지, 19(4), pp.155~179 (2008), 한국생산관리학회
- 김우식, "국내 전자기업의 경영성과와 R&D 활동과의 관계에 관한 연구", 산업경제연구, 17(4), pp.1467~1484 (2004), 한국산업경제학회
- 민재형, "부분효율성 정보를 이용한 DEA 모형의 투입·산출 요소 선정에 관한 연구", 국경영과학회지, 23(3), pp.75~90 (1998)
- 홍태호, "다분류 SVM을 이용한 DEA기반 벤처기업 효율성등급 예측모형", Asia Pacific Journal of Information Systems, 19(2), pp.139~155 (2009), 한국경영정보학회
- 윤문규, "200대 상장 제조기업의 효율성분석에 관한 연구 - DEA기법을 활용하여", 기업경영연구, 13(2), pp.79~97 (2006), 한국기업경영학회
- 이경재, "DEA 모형을 활용한 인터넷 기업의 효율성 평가에 관한 연구", 박사, pp.2006
- 이정동, "RAM(Range Adjusted Measure)을 이용한 부품소재 기업들의 생산성 분석 및 R&D 현황에 관한 실증연구", 생산성논집, 18(2), pp.21~37 (2004), 한국생산성학회
- 임성묵, "DEA에서 투입․산출 요소 선택 방법", 산업공학(IE interfaces), 22(1), pp.44~55 (2009), 대한산업공학회
- 조윤기, "동북아지역 국가들의 철강산업 효율성 및 경쟁력변화 분석 -한국, 일본, 중국, 대만을 중심으로", 동북아경제연구, 20(2), pp.1~24 (2008), 한국동북아경제학회
- "한국광산업진흥회"[URL]
- 한동근, "대구지역 안경제조업체의 효율성분석", 경제연구, 23(3), pp.179~200 (2005), 한국경제통상학회
- 홍봉영, "DEA를 이용한 국내섬유산업의 효율성 및 생산성변화 분석", 산업조직연구, 11(3), pp.61~96 (2003), 한국산업조직학회
- 황준구, "한국 바이오산업의 기술적효율성에 관한 연구 :확률적 프론티어 모형을 중심으로", 박사, pp.2005
- Andersen, P., "A procedure for ranking efficient units in data envelopment analysis", Management science, 39(10), pp.1261~1264 (1993)
- Banker, R., "Some models for estimating technical and scale inefficiencies in data envelopment analysis", Management science, 30(9), pp.1078~1092 (1984)
- Boussofiane, A., "Applied data envelopment analysis", European Journal of Operational Research, 52(1), pp.1~15 (1991)
- Charnes, A., "Measuring the efficiency of decision making units", European Journal of Operational Research, 2(6), pp.429~444 (1978)
- Chen, Y., "Using super-efficiency DEA to evaluate financial performance of e-business initiative in the retail industry", International Journal of Information Technology and Decision Making, 3(2), pp.337~351 (2004)
- Chung, S., "A DEA window analysis on the product family mix selection for a semiconductor fabricator", Expert Systems with Applications, 35(1), pp.379~388 (2008)
- Cooper, W., "Data envelopment analysis" (2000), Springer
- Donthu, N., "Retail productivity assessment using data envelopment analysis", Journal of Retailing, 74(1), pp.89~105 (1998)
- Farrel, M, "The measurement of productive efficiency", Journal of the Royal Statistical Society, 120(3), pp.253~281 (1957)
- Golany, B., "An application procedure for DEA", Omega, 17(3), pp.237~250 (1989)
- Hashimoto, A., "Measuring the change in R&D efficiency of the Japanese pharmaceutical industry", Research Policy, 37(10), pp.1829~1836 (2008)
- Liu, F., "DEA Malmquist productivity measure: Taiwanese semiconductor companies", International Journal of Production Economics, 112(1), pp.367~379 (2008)
- Liu, S., "Efficiency measures of PCB manufacturing firms using relational twostage data envelopment analysis", Expert Systems with Applications, 36(3P1), pp.4935~4939 (2009)
- Saranga, H, "The Indian auto component industry Estimation of operational efficiency and its determinants using DEA", European Journal of Operational Research, 196(2), pp.707~718 (2009)
- Sengupta, J, "Dynamic and stochastic efficiency analysis: economics of data envelopment analysis" (2000), World Scientific
- Smith, P., "Measuring efficiency in the public sector", Omega, 15(3), pp.181~189 (1987)
- Sueyoshi, T., "A use of a nonparametric statistic for DEA frontier shift: the Kruskal and Wallis rank test", Omega, 29(1), pp.1~18 (2001)
- Tofallis, C., "Improving discernment in DEA using profiling", Omega, 24(3), pp.361~364 (1996)