DOI QR코드

DOI QR Code

Efficiency Analysis of Specialty Construction Companies by Industry and Year Using DEA Model

DEA 모형을 활용한 전문건설기업 업종별·연도별 효율성 분석 연구

  • Received : 2023.06.09
  • Accepted : 2023.07.17
  • Published : 2023.08.30

Abstract

This study utilized the DEA model to analyze the efficiency of various specialty construction industries. Data from 2017 to 2021, covering 520 specialty construction companies, were examined. The findings indicated that these companies were inefficient in terms of scale, highlighting the need for improvements through measures like reducing production factors, such as scale reduction. Among the specialty construction industries, the reinforced concrete construction sector demonstrated significantly higher efficiency compared to others, emphasizing the importance of benchmarking between these industries. The outbreak of the COVID-19 pandemic resulted in a temporary decline in efficiency within the specialty construction industry in 2020, but a recovery was observed in 2021. However, operating profit efficiency saw a substantial decline in 2021, primarily due to soaring raw material prices. Consequently, it was deduced that the increase in sales efficiency resulted from these price surges. The study identified the reinforced concrete construction industry of metal, window, roofing, prefabrication construction, and painting, wetting, waterproofing of the stone construction industry as most impacted by escalating construction material costs. Therefore, it is crucial for specialty construction companies to enhance efficiency by reducing input factors, with a specific focus on efficiency management strategies considering rising raw material prices for the aforementioned industries. It is important to note that this study only analyzed specialty construction companies subject to external audits, and factors like technological changes were not considered. The analysis primarily focused on relative efficiency within the same industry category.

Keywords

References

  1. Ali, A. I., & Seiford, L. M. (1990). Translation invariance in data envelopment analysis, Operations Research Letters, 9, 403-405.  https://doi.org/10.1016/0167-6377(90)90061-9
  2. Banker, R., Charnes, A., & Cooper, W. (1984). Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis, Management Science, 30(9), 1078-1092.  https://doi.org/10.1287/mnsc.30.9.1078
  3. Charnes, A., Cooper, W., Golany, B., Seiford, L., & Stutz, J. (1985). Foundations of Data Envelopment Analysis for Pareto-Koopmans Efficient Empirical Production Functions, Journal of Econometrics, 30(1-2), 91-107.  https://doi.org/10.1016/0304-4076(85)90133-2
  4. Charnes, A., Cooper, W., & Rhodes, E. (1978). Measuring the Efficiency of Decision Making Units, European Journal of Operational Research, 2(6): 429-444.  https://doi.org/10.1016/0377-2217(78)90138-8
  5. Farrell, M. J. (1957). The Measurement of Productive Efficiency, Journal of the Royal Statistical Society, Series A (General), 120(3), 253-290.  https://doi.org/10.2307/2343100
  6. Jang, I. S. (2013). An Analysis of Changes in Total Factor Productivity and Growth Rate, National Assembly Budget Office. 
  7. Kim, J. K., & Kang, D. Y. (2008). Measuring Efficiency of Korean Apartment Construction Firms using DEA, The Journal of the Korea Contents Association, 8(7), 201-207.  https://doi.org/10.5392/JKCA.2008.8.7.201
  8. Kim, K. S. (2005). Analyzing the Technical Efficiency of Korean Engineering and Construction Firms after the Financial Crisis, Korean journal of construction engineering and management, 6(1), 151-161. 
  9. Kim, M. S., Baek, M. K., & Moon, S. H. (2011). Study on Changes of Construction Industry and Efficiency of Construction Firm Using DEA, The Korean Academy of Historians, 26(4), 229-259.  https://doi.org/10.22629/kabh.2011.26.4.010
  10. Kim, T. J. (2022). Rising Global Construction Raw Material Prices and Construction Unit Price Inflation, RICON Construction BRIEF, May 23, 7-8. 
  11. Kim, Y. H., & Ha, H. K. (2010). An analysis of the efficiency of Korean airports with DEA-malmquist productivity index, Journal of Aviation Management Society of Korea, 8(1), 15-28 
  12. Kim, Y. J., Yoo, D. Y., & Park, S. G. (2019). A Study on the Efficiency Analysis of Specialty Construction Industry Type, The Journal of the Korea Contents Association, 19(5), 64-73.  https://doi.org/10.5392/JKCA.2019.19.05.064
  13. Kim, Y. S., Byeon, C. U., & Lee, S. H. (2009). Productivity and Policy Effects of Regional Industry in Korea, Korea Institute for Industry and Trade. 
  14. Kwon, S. W. (2018). A Causality Analysis of Efficiency and Related Variables in Housing Construction Companies, Korea Maritime and Ocean University. 
  15. Lee, H. R., Moon, S. K., Kim, S. K., Kim, K. H., & Kim, J. J. (2010). A Correlation Analysis between the Capability of Construction Firms and Efficiency of Construction Company Using DEA. Journal of the Architectural Institute of Korea Structure & Construction. 26(5), 125-132.  https://doi.org/10.5659/JAIK_SC.2014.30.5.125
  16. Lee, J. D., & Oh, D. H. (2012). Theory of Efficiency Analysis. Jiphil Media. 
  17. Lee, S. B., Ahn, J. W., Lee, S. H., Cho, J. H., & Cho, J. C. (2016). Improvement measures for the construction industry user in response to the changes in the construction market, Korea Research Institute for Human Settlements. 
  18. O, D. I. (2001). 「Management Efficiency Evaluation and Management Implications of Korea's Superior Listed Construction Companies under the IMF System Using DEA, Korean Accounting Review, 26(4), 27-60. 
  19. OECD (2001). Measuring Productivity : Measurement of Aggregate and Industry-level Productivity Growth, OECD, Paris. 
  20. Park, M. H. (2008). Efficiency and Productivity Analysis, Korea Research. 
  21. Park, S. G. (2014). Total factor productivity and efficiency analysis of domestic construction firms using SFA and DEA model, Hanyang University. 
  22. Park, S. G. (2019). A Study on the Efficiency Analysis of Specialty Construction Industry, Korea Research Institute for construction Policy. 
  23. Park, S. G. (2022). The Effects of the Surge in Construction Material Prices and Future Responses and Prospects, RICON Construction BRIEF, June 25, 7-9. 
  24. Pastor, Jesus T. (1996). "Translation invariance in data envelopment analysis: A generalization", Annals of Operations Research, 66, 91-102.  https://doi.org/10.1007/BF02187295
  25. Ryu, H. J. (2014). Measuring Managerial Efficiency of Korean Construction Firms using Data Envelopment Analysis-Tier and Cluster Analysis, Hanyang University. 
  26. Seo, K. K., & Choi, D. Y. (2011). Efficiency Analysis of Construction Firms Using a Combined AHP and DEA Model, The Journal of the Korea Contents Association, 11(6), 302-310.  https://doi.org/10.5392/JKCA.2011.11.6.302
  27. Song, K. S. (2012). Performance Analysis by Type of Local Public Enterprise Using DEA and Malmquist Productivity Index, Korean Public Administration Quarterly, 24(3), 525-544. 
  28. Zi, H. M., & You, T. W. (2003). Analyzing Efficiency and Productivity in the Construction Industry Before and After the Korean Financial Crisis, Korean Management Review, 32(3), 809-833.