Korean Journal of Construction Engineering and Management (한국건설관리학회논문집)

Korea Institute of Construction Engineering and Management (한국건설관리학회)
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An Analysis of Profitability Study of Overseas Construction Projects using Multiple-Regression

다중회귀분석을 통한 해외 건설 프로젝트 특성요인이 손익율에 미치는 영향 분석

  • Kim, Jineon (Department of Highrise and Long-bridge Engineering, Sungkyunkwan University) ;
  • Kim, Yeasang (Department of Architectural.Civil Engineering, Sungkyunkwan University)
  • Received : 2013.12.03
  • Accepted : 2014.01.24
  • Published : 2014.03.31
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Abstract

From $1960^{th}$ Korean construction industry has been rapidly grown due to Meddle-East construction market growth. To earn foreign currency and to raise overall Korean industry government has encouraged construction frontiers. As construction industry could grow up for its labour based originity but the time passes by and overseas construction market requests engineering know-how and technology for productivity to earn more profit. Over last 20 years overseas construction market share has been dramatically raised but its profit share is gradually declining. This study analyzed data sets of over 180 overseas construction projects for last 30 years of domestic contractor by using multiple-regression analysis and derived an output how input variables of characters explaining the construction project effects its profit.

1960년대부터 우리나라 건설사는 중동 건설 붐을 통해 노동집약적인 건설산업을 부흥시키기 위해 진출을 하였고, 이를 자양분으로 삼아 경제 부흥에 큰 일조를 하였다. 하지만 최근 20년간 해외 건설산업은 매출규모는 이전에 비해 비약적인 증대를 보였으나 이익 측면에서는 개선이 이루어지지 않으며 오히려 그 추세는 하향세를 그리는 것을 알 수 있다. 따라서 본 연구에서는 대형시공사의 최근 30년간 180여개의 프로젝트를 구성하는 요소가 손익율에 어떠한 영향을 미치는지 통계적인 시각에서 그 독립변수가 종속변수에 미치는 영향에 대해 알아보려 한다. 통계적인 기법은 다중회귀분석을 선택하였고, 다수의 독립변수가 하나의 종속변수에 미치는 영향정도를 도출하여 향 후 해외 건설 프로젝트 입찰 또는 수행 시 참고가 가능한 판별 기준을 설정하고자 한다.

Keywords

References

  1. Cho Y., Cha H. (2012). "A Study of Project Characteristics and Project Performance Level of difficulty ", Korean journal of Construction Engineering and Management, KICEM, 11(6), pp. 81-84.
  2. Choi R. (2011). "A Multiple Regression Analysis on Developing the Profitability Model of Local Cultural Festivals ", Journal of the Korea society of computer and information, 16(10).
  3. Kwak S., Han S. (2009). "Cost Prediction Models in the Early Stage of the Roadway Planning and Designbased on Limited Available Information ", Korean journal of Construction Engineering and Management, KICEM, 10(4), pp. 90-98.
  4. Lee B., Kim J. (2012). "(An) analysis on the factors affecting the REITs returns using the regression analysis : focused on office building investment", Dept. of Sustainable Architectural Engineering, The Graduate School, Hanyang University.
  5. Lowe D. J., Emsley M. W., Harding A., (2006). "Predicting Construction Cost Using Multiple Regression Techniques", Journal of Construction Engineering and Management, ASCE.
  6. Mahamid I. (2011). "Early cost estimating for road construction projects using multiple regression techniques", Australasia Journal of Construction Economics and Building, 11(4) p. 87-101. https://doi.org/10.5130/ajceb.v11i4.2195
  7. Sun S., Han S. (2003). "(A) study on the hierarchical structures of cause-and-effect on the profit factors in overseas construction projects", Dept. of Civil Engineering, Graduate School, Yonsei University.
  8. Ko W., (2011). "Analyzing Social Science Datum using sequential data input of SPSS", Professor, Dept. of Computer Statistics, Honam University.

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