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Measuring productivity changes in the Korean construction management industry

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Abstract

This paper presents an empirical assessment of productivity changes within the Korean Construction Management (CM) industry using a non-parametric Malmquist bootstrap methodology. For the purposes of this paper, the Global Malmquist productivity index (MPIG)-based productivity measurement procedure is designed to evaluate changes in productivity within the CM market between 2006 and 2012. To do so, it uses data from public announcements related to CM capabilities. Productivity estimates were statistically verified using the bootstrapping method. As a result of these estimations, this study showed that despite quantitative industry-wide growth, the average productivity of the service business firms in the Korean CM industry did not increase between 2006 and 2012. In total, the productivity of Korean CM firms were affected by environmental factors, including changes in the businesses cycle of the CM industry. Decreases in a firm’s managerial and strategic capabilities resulted in a parallel decline in that firm’s actual productivity, despite technical advances in the market. Efforts to promote technical efficiency among some firms, however, could overcome technological declines in the market.

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References

  • Caves, D. W., Christensen, L. R., and Diewert, W. (1982). “The economic theory of index numbers and the measurement of input, output, and productivity.” Econometrica: Journal of the Econometric Society, pp. 1393–1414.

    Google Scholar 

  • Charnes, A., Cooper, W. W., and Rhodes, E. (1978). “Measuring the efficiency of decision making units.” European Journal of Operational Research, Vol. 2, No. 6, pp. 429–444.

    Article  MathSciNet  MATH  Google Scholar 

  • Chau, K. W. and Walker, A. (1988). “The measurement of total factor productivity of the Hong Kong construction industry.” Construction Management and Economics, Vol. 6, No. 3, pp. 209–224.

    Article  Google Scholar 

  • Chen, Y. (2003). “A non-radial Malmquist productivity index with an illustrative application to Chinese major industries.” International Journal of Production Economics, Vol. 83, No. 1, pp. 27–35.

    Article  Google Scholar 

  • Chiang, Y. H., Li, J., Choi, T. N. Y., and Man, K. F. (2012). “Comparing China Mainland and China Hong Kong contractors’ productive efficiency: A DEA Malmquist Productivity Index approach.” Journal of Facilities Management, Vol. 10, No. 3, pp. 179–197, DOI: 10.1108/14725961211245992.

    Article  Google Scholar 

  • Cook, W. D. and Seiford, L. M. (2009). “Data envelopment analysis (DEA)–Thirty years on.” European Journal of Operational Research, Vol. 192, No. 1, pp. 1–17, DOI: 10.1016/j.ejor.2008.01.032.

    Article  MathSciNet  MATH  Google Scholar 

  • Crawford, P. and Vogl, B. (2006). “Measuring productivity in the construction industry.” Building Research & Information, Vol. 34, No. 3, pp. 208–219.

    Article  Google Scholar 

  • Fare, R., Grosskopf, S., and Lovell, C. K. (1994). Production frontiers, Cambridge University Press.

    Google Scholar 

  • Fare, R., Grosskopf, S., and Margaritis, D. (2011). Malmquist Productivity Indexes and DEA, Handbook on Data Envelopment Analysis, Springer, pp. 127–149.

    Book  Google Scholar 

  • Horta, I. M., Camanho, A. S., Johnes, J., and Johnes, G. (2013). “Performance trends in the construction industry worldwide: An overview of the turn of the century.” Journal of Productivity Analysis, Vol. 39, No. 1, pp. 89–99.

    Article  Google Scholar 

  • Li, Y. and Liu, C. (2010). “Malmquist indices of total factor productivity changes in the Australian construction industry.” Construction Management and Economics, Vol. 28, No. 9, pp. 933–945, DOI: 10.1080/01446191003762231.

    Article  Google Scholar 

  • Malmquist, S. (1953). “Index numbers and indifference surfaces.” Trabajos de Estadistica y de Investigacion Operativa, Vol. 4, No. 2, pp. 209–242.

    Article  MathSciNet  MATH  Google Scholar 

  • Pastor, J. T. and Lovell, C. A. (2005). “A global Malmquist productivity index.” Economics Letters, Vol. 88, No. 2, pp. 266–271.

    Article  MathSciNet  MATH  Google Scholar 

  • Portela, M. C. and Thanassoulis, E. (2010). “Malmquist-type indices in the presence of negative data: An application to bank branches.” Journal of Banking & Finance, Vol. 34, No. 7, pp. 1472–1483.

    Article  Google Scholar 

  • Simar, L. and Wilson, P. W. (1999). “Estimating and bootstrapping Malmquist indices.” European Journal of Operational Research, Vol. 115, No. 3, pp. 459–471.

    Article  MathSciNet  MATH  Google Scholar 

  • Tortosa-Ausina, E., Grifell-Tatje, E., Armero, C., and Conesa, D. (2008). “Sensitivity analysis of efficiency and Malmquist productivity indices: An application to Spanish savings banks.” European Journal of Operational Research, Vol. 184, No. 3, pp. 1062–1084, DOI: 10.1016/j.ejor.2006.11.035.

    Article  MATH  Google Scholar 

  • Wang, C. H., Lee, J. Y., and Chang, Y. H. (2012). “Measuring productivity in the biotechnology industry using the global Malmquist index.” Applied Economics Letters, Vol. 19, No. 9, pp. 807–812.

    Article  Google Scholar 

  • Wang, X., Chen, Y., Liu, B., Shen, Y., and Sun, H. (2013). “A total factor productivity measure for the construction industry and analysis of its spatial difference: A case study in China.” Construction Management and Economics, Vol. 31, No. 10, pp. 1059–1071.

    Article  Google Scholar 

  • Xue, X., Shen, Q., Wang, Y., and Lu, J. (2008). “Measuring the productivity of the construction industry in China by using DEAbased Malmquist productivity indices.” Journal of Construction Engineering and Management, Vol. 134, No. 1, pp. 64–71.

    Article  Google Scholar 

  • You, T. and Zi, H. M. (2007). “The economic crisis and efficiency change: Evidence from the Korean construction industry.” Applied Economics, Vol. 39, Nos. 13-15, pp. 1833–1842, DOI: 10.1080/00036840600690199.

    Article  Google Scholar 

  • Zhi, M., Hua, G. B., Wang, S. Q., and Ofori, G. (2003). “Total factor productivity growth accounting in the construction industry of Singapore.” Construction Management and Economics, Vol. 21, No. 7, pp. 707–718.

    Article  Google Scholar 

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Correspondence to Jae-Jun Kim.

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Lee, YS., Kim, JJ. & Lee, T.S. Measuring productivity changes in the Korean construction management industry. KSCE J Civ Eng 20, 2154–2161 (2016). https://doi.org/10.1007/s12205-015-0476-z

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