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Workforce productivity evaluation of the US construction industry from 2006 to 2016

Yulong Li (School of Management Science and Engineering, Central University of Finance and Economics, Beijing, China)
Jie Lin (School of Management Science and Engineering, Central University of Finance and Economics, Beijing, China)
Zihan Cui (School of Management Science and Engineering, Central University of Finance and Economics, Beijing, China)
Chao Wang (Bert S. Turner Department of Construction Management, Louisiana State University, Baton Rouge, Louisiana, USA)
Guijun Li (School of Management Science and Engineering, Central University of Finance and Economics, Beijing, China)

Engineering, Construction and Architectural Management

ISSN: 0969-9988

Article publication date: 18 November 2019

Issue publication date: 3 February 2021

545

Abstract

Purpose

Currently, there is a dearth of research studies regarding macro analysis of the workforce productivity of the US construction industry. The purpose of this paper is to calculate the workforce productivity changes of the US construction industry from 2006 to 2016, with the number of laborers as input and value of construction industry as output.

Design/methodology/approach

The present study introduced the data envelopment analysis (DEA) based Malmquist productivity index model to measure the workforce productivity of the US construction industry from 2006 to 2016.

Findings

The results indicated that the workforce productivity of the US construction industry experienced a continuous decline, except for the increases from 2011 to 2013 and from 2014 to 2015. It was also shown that there were gaps in the workforce productivity development level among all states and nine regions in the US construction industry. Besides, the relationship between workforce productivity and four aspects, including real estate price, workforce, climate distribution and economic factors, was analyzed.

Research limitations/implications

The calculation of the productivity of the US construction industry is based on the premise that the external environment is fixed and unchanged from 2006 to 2016, but the multi-level DEA model for further calculation is required for obtaining more effective conclusions.

Social implications

This paper measures the workforce productivity of the US construction industry over the past 11 years, which added latest analysis and knowledge into the construction industry, providing decision-makers with advice and data support to formulate policies to improve workforce productivity.

Originality/value

This study provided both government decision-makers and industrial practitioners with important macro background environment information, which will facilitate the improvement of workforce productivity in the construction industry in different regions of the US.

Keywords

Acknowledgements

Data generated or analyzed during the study are available from the corresponding author by request. The authors gratefully acknowledge the financial support received from the National Natural Science Foundation of China (Grant Nos 71301175 and 71473285), China Scholarship Council (Grant No. 201606495019), Beijing Higher Education Young Elite Teacher Project (Grant No. YETP1001).

Citation

Li, Y., Lin, J., Cui, Z., Wang, C. and Li, G. (2021), "Workforce productivity evaluation of the US construction industry from 2006 to 2016", Engineering, Construction and Architectural Management, Vol. 28 No. 1, pp. 55-81. https://doi.org/10.1108/ECAM-07-2019-0366

Publisher

:

Emerald Publishing Limited

Copyright © 2019, Emerald Publishing Limited

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