Performance trends in the construction industry worldwide: An overview of the turn of the century

Journal of Productivity Analysis

Volumn 39, Issue 1, 2013, Pages 89-99

  Horta, I M ^a   Camanho, A S ^a   Johnes, Jill ^b   Johnes, Geraint ^b  

^a UNIVERSITY OF PORTO   (Portugal)

^b LANCASTER UNIVERSITY   (United Kingdom)

Author keywords

Construction industry; Cross country analysis; DEA; Malmquist index

Indexed keywords

EID: 84871995212     PISSN: 0895562X     EISSN: 15730441     Source Type: Journal    
DOI: 10.1007/s11123-012-0276-0     Document Type: Article

References (32)

1. Altman EI (1968) Financial ratios, discriminant analysis and the prediction of corporate bankruptcy. J Financ 23(4): 589-609.
2. Charnes A, Cooper WW, Rhodes E (1978) Measuring efficiency of decision making units. Eur J Oper Res 2(6): 429-444.
3. Costa DB, Formoso CT, Kagioglou M, Alarcon LF, Caldas CH (2006) Benchmarking initiatives in the construction industry: lessons learned and improvement opportunities. J Manag Eng 22(4): 158-167.
4. Crosthwaite D (2000) The global construction market: a cross-sectional analysis. Constr Manag Econ 18(5): 619-627.
5. Efron B (1979) Bootstrap methods: another look at the jackknife. Ann Stat 7(1): 1-26.
6. El-Mashaleh M, Minchin R, O'Brien W (2007) Management of construction firm performance using benchmarking. J Manag Eng 23(1): 10-17.
7. El-Mashaleh MS (2010) Decision to bid or not to bid: a data envelopment analysis approach. Can J Civ Eng 37(1): 37-44.
8. ENR (2005) World market overview, Engineering News Record, 1 March, McGraw-Hill Construction, New York.
9. Fare R, Lovell C (1998) Measuring the technical efficiency of production. J Econ Theory 19(1): 150-162.
10. Fare R, Grosskopf S, Norris M, Zhang Z (1994) Productivity growth, technical progress, and efficiency change in industrialized countries. Am Econ Rev 87(5): 1040-1043.
11. Haney AB, Pollitt MG (2009) Efficiency analysis of energy networks: an international survey of regulators. Energy Policy 37(12): 5814-5830.
12. Horta IM, Camanho AS, Costa JM (2010) Performance assessment of construction companies integrating key performance indicators and data envelopment analysis. J Constr Eng Manag 136(5): 581-594.
13. Johnes J, Izzeldin M, Pappas V (2009) The efficiency of islamic and conventional banks in the gulf cooperation council (GCC) countries: An analysis using financial ratios and data envelopment analysis. Technical report, Lancaster University Management School, Economics Department.
14. Kangari R, Farid F, Elgharib HM (1992) Financial performance analysis for construction industry. J Constr Eng Manag 118(2): 349-361.
15. Lee S, Thomas SR, Tucker RL (2005) Web-based benchmarking system for the construction industry. J Constr Eng Manag 131(7): 790-798.
16. McCabe B, Tran V, Ramani J (2005) Construction prequalification using data envelopment analysis. Can J Civ Eng 32(1): 183-193.
17. Moscarini G, Postel-Vinay F (2009). Large employers are more cyclically sensitive. NBER working paper 14740, 49.
18. Ngowi A, Pienaar E, Talukhaba A, Mbachu J (2005) The globalisation of the construction industry - a review. Build Environ 40(1): 135-141.
19. Pastor JM, Prez F, Quesada J (1997) Efficiency analysis in banking firms: an international comparison. Eur J Oper Res 98: 395-407.
20. Pilateris P, McCabe B (2003) Contractor financial evaluation model (CFEM). Can J Civ Eng 30(3): 487-499.
21. Ramirez RR, Alarcon LFC, Knights P (2004) Benchmarking system for evaluating management practices in the construction industry. J Manag Eng 20(3): 110-117.
22. Rao DSP, O'Donnell CJ, Battese GE (2003) Metafrontier functions for the study of inter-regional productivity differences. Technical report CEPA working papers series, no. WP012003.
23. Severson G, Russell JS, Jaselskis EJ (1994) Predicting construction contract surety bond claims using contractor financial data. J Constr Eng Manag 120(2): 405-420.
24. Simar L, Wilson PW (1998) Sensitivity analysis of efficiency scores: how to bootstrap in nonparametric frontier models. Manag Sci 44(1): 49-61.
25. Simar L, Wilson PW (1999) Estimating and bootstrapping Malmquist indices. Eur J Oper Res 115(3): 459-471.
26. Simar L, Wilson PW (2007) Estimation and inference in two-stage, semi-parametric models of production processes. J Econom 136(1): 31-64.
27. Thiry B, Tulkens H (1992) Allowing for inefficiency in parametric estimation of production functions for urban transit firms. J Prod Anal 3(1-2): 45-65.
28. Tulkens H, Vanden Eeckaut P (1995) Nonparametric efficiency, progress and regress measures for panel-data-methodological aspects. Eur J Oper Res 80(3): 474-499.
29. Walker A (2007) Project management in construction. Blackwell, Oxford.
30. Wilson PW (2008) FEAR: a package for frontier efficiency analysis with R. Socioecon Plann Sci 42(4): 247-254.
31. Xue X, Shen Q, Wang Y, Lu J (2008) Measuring the productivity of the construction industry in China by using DEA-based Malmquist productivity indices. J Constr Eng Manag 134(1): 64-71.
32. You T, Zi H (2007) The economic crisis and efficiency change: evidence from the korean construction industry. Appl Econ 39(14): 1833-1842.