DOI QR코드

DOI QR Code

A Study on the Efficiency Analysis for the Automotive Parts Manufacturer Using Data Envelopment Analysis

DEA를 활용한 자동차부품 기업의 효율성 평가에 관한 연구

  • Cho, Hyung-Kook (Dept. of Venture Technology and Management, Konkuk University) ;
  • Lee, Cheol-Gyu (Dept. of Advanced Industry Fusion, Konkuk University) ;
  • Yoo, Wang-Jin (Dept. of Venture Technology and Management, Konkuk University)
  • 조형국 (건국대학교 일반대학원 벤처전문기술학과) ;
  • 이철규 (건국대학교 신산업융합학과) ;
  • 유왕진 (건국대학교 일반대학원 벤처전문기술학과)
  • Received : 2013.10.17
  • Accepted : 2014.02.05
  • Published : 2014.02.28

Abstract

Due to the recent global recession, the car industry demand levels have plummeted which led to a crisis in the automotive parts industry for the first time in history. Since the fourth quarter of 2008, the automotive parts manufacturers in America have faced a record loss and those in Japan and Europe who also had a strong track record are facing a weak economy. In addition, the domestic automotive parts industry is also affected by the global economic crisis. This research is that the relative efficiency analysis utilizing the DEA has done on the object of 25 small and medium-sized automotive parts manufacturers publicly listed, As the efficiency analysis result 6 of 25 manufacturers are efficient in CCR model and 12 manufactures have shown efficiency in BCC model, the efficiency analysis in consideration of the manufacturer size. The manufacturers with efficiency 1 in 25 manufacturers are DMU 1, 5, 7, 10, 18, 24 and the relatively benchmarking objects in other manufactures are DMU 1, 10, 24, Based on the results of this research, a direction to the domestic automotive parts manufacturers as well as a significant information will be provided in managing the companies in the future by the improvement of management efficiency through the practical efficiency analysis.

최근 글로벌 경기 침체로 인한 완성차 수요 급감으로 세계 자동차부품산업이 위기에 직면해 있다. 미국 자동차부품업체들은 2008년 4분기 이후 대규모 적자를 기록 중에 있으며, 고성장세를 유지하던 일본 및 유럽 부품업체들도 경영실적이 크게 악화되었다. 국내 자동차부품기업도 이러한 영향에서 벗어나기가 어려울 것으로 예상된다. 본 연구는 자동차부품 중소기업 중 상장된 25개의 업체를 대상으로 DEA분석기법을 활용하여 각 기업에 대한 상대적 효율성을 분석하였다. 효율성분석결과 CCR모델에서는 전체 25개 기업 중 6개 기업이 효율적인 것으로 나타났지만 기업의 규모를 고려한 효율성 분석인 BCC분석결과 12개 기업이 효율적으로 운영하는 것으로 나타났다. 그리고 25개의 자동차부품기업 중 효율성이 1인 기업이 DMU 1, 5, 7, 10, 18, 24로, 다른 자동차부품기업이 상대적으로 벤치마킹을 해야 할 대상은 DMU 1, 10, 24로 나타났다. 본 연구의 결과를 바탕으로 국내 자동차부품기업이 나가야 할 방향을 제시하고, 국내 자동차부품기업의 효율성을 실증적으로 분석하여 경영효율성을 제고함으로써 향후 자동차부품기업을 경영하는데 있어 매우 중요한 정보를 제공할 것으로 기대된다.

Keywords

References

  1. Hana Institute of Finance(2012), "Auto Parts Industry Trends and Analysis of Group-Type Risk Factors", Industry Information, Vol.4, pp.1-39.
  2. Keun-Hyo, Yook(2003), "A Further Examination on the Economic Impacts of Advertising and R&D Expenditures", Journal of Business Research, Vol.18, No.3, pp.219-251.
  3. Hirschey, M. and Weygandt, J. J.(1985), "Amortization Policy for Advertising and Research and Development Expenditure", Journal of Accounting Research, Vol. 23, No. 1, pp.326-335. DOI: http://dx.doi.org/10.2307/2490921
  4. Nam-Soo, Woo, Sang-Hum, Yoon, Jong-Hun, Park(2010), "A Study on the Efficiency Analysis for the Automobile Parts Manufactures", Journal of Decision Science, Vol.18, No.1, pp.1-20.
  5. Jong-soo, Kyung, Bohyung, Lee(2010), "A Study of Business Support Policy for Small-Medium Enterprises in Regional Strategic Industry", Journal of the Korea Academia-Industrial cooperation Society, Vol.11, No.6, pp.2030-2037. DOI: http://dx.doi.org/10.5762/KAIS.2010.11.6.2030
  6. Gyung-mi Jin, Byun-gun Yoon(2012), "A study on the efficiency measurement of University's technology transfer by DEA model", Journal of the Korea Academia-Industrial cooperation Society, Vol.13, No.6, pp.2558-2569. DOI: http://dx.doi.org/10.5762/KAIS.2012.13.6.2558
  7. Charnesm A., W. W. Cooper and E. Rhodes(1981), "Evaluation Program and Managerial Efficiency : An Application of Data Envelopment Analysis to Program Follow Through", Management Science, Vol.27 No.6, pp.669-697.
  8. Banker, R. D., A. Charnes, W. W. Cooper(1984), "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, Vol.30, No.9, pp.1078-1092. DOI: http://dx.doi.org/10.1287/mnsc.30.9.1078