TY - JOUR
T1 - Measuring the capacity utilization of China's regional construction industries considering undesirable output
AU - Zhang, Jingxiao
AU - Cai, Wenyi
AU - Li, Hui
AU - Olanipekun, Ayokunle Olubunmi
AU - Skitmore, Martin
N1 - Funding Information:
This research is supported by the National Natural Science Foundation of China (No. 71301013 ); National Social Science Fund Post-financing projects (No. 19FJYB017 ); Humanity and Social Science Program Foundation of the Ministry of Education of China (No. 17YJA790091 ); List of Key Science and Technology Projects in China’s Transportation Industry in 2018- International Science and Technology Cooperation Project (No. 2018-GH-006 ); Shaanxi Social Science Fund (No. 2017S004 and No. 2016ZB017 ); Shaanxi Province Social Sciences Major Theoretical and Practical Research Fund (No. 2019Z191 and No. 2017Z028 ); Xi’an Social Science Fund (No. 18J139 ); Xi’an Construction Science and Technology Planning Project (No. SJW201705 , No. SZJJ201915 and No. SZJJ201916 ); Xi’an Science Technology Bureau Fund (No. 201805070RK1SF4(6) ); Shaanxi Universities Second Batch of Youth Outstanding Talents Support Projects (No. [2018]111 ); Shaanxi Province Higher Education Teaching Reform Project (No. 17BZ017 ); Education Funding of Master of Engineering Management in China (No. 2017-ZX-004 ); Shaanxi Province Civil Engineering "first-class professional" project (No. 300103292804 and No. 300103282803 ); Special Fund for Graduate Student Education Reform of Central College, Chang’an University (No. 300103190413 , No. 300103190018 , No. 300103190943 , No. 300111002005 , No. 300103187091 No. 310623176201 , No. 310623176702 , No. 310628176702 and No. 310628161406 ); Fundamental Research for Education Reform of Central College, Chang’an University (No. 300104292305 , No. 300104292304 , No. 300104292308 , No. 300103292806 , No. 300104282301 , No. 300104282318 , No. 300104282323 , No. 310623172904 , No. 310623171003 and No. 310623171633 ); Fundamental Research for Funds for the Central Universities (Humanities and Social Sciences), Chang’an University (No. 300102239616 ); Fundamental Research for Funds for the Central Universities, Chang’an University (No. 300102238201 ). Appendix A
Funding Information:
This research is supported by the National Natural Science Foundation of China (No. 71301013); National Social Science Fund Post-financing projects (No.19FJYB017); Humanity and Social Science Program Foundation of the Ministry of Education of China (No.17YJA790091); List of Key Science and Technology Projects in China's Transportation Industry in 2018-International Science and Technology Cooperation Project (No.2018-GH-006); Shaanxi Social Science Fund (No.2017S004 and No. 2016ZB017); Shaanxi Province Social Sciences Major Theoretical and Practical Research Fund (No.2019Z191 and No.2017Z028); Xi'an Social Science Fund (No.18J139); Xi'an Construction Science and Technology Planning Project (No. SJW201705, No.SZJJ201915 and No. SZJJ201916); Xi'an Science Technology Bureau Fund (No.201805070RK1SF4(6)); Shaanxi Universities Second Batch of Youth Outstanding Talents Support Projects(No.[2018]111); Shaanxi Province Higher Education Teaching Reform Project (No.17BZ017); Education Funding of Master of Engineering Management in China (No. 2017-ZX-004); Shaanxi Province Civil Engineering ?first-class professional? project(No.300103292804 and No. 300103282803); Special Fund for Graduate Student Education Reform of Central College, Chang'an University (No.300103190413, No.300103190018, No. 300103190943, No.300111002005, No.300103187091 No. 310623176201, No.310623176702, No.310628176702 and No.310628161406); Fundamental Research for Education Reform of Central College, Chang'an University (No.300104292305, No.300104292304, No.300104292308, No. 300103292806, No. 300104282301, No. 300104282318, No. 300104282323, No.310623172904, No. 310623171003 and No. 310623171633); Fundamental Research for Funds for the Central Universities (Humanities and Social Sciences), Chang'an University (No.300102239616); Fundamental Research for Funds for the Central Universities, Chang'an University (No. 300102238201).
Publisher Copyright:
© 2019 Elsevier Ltd
Copyright:
Copyright 2019 Elsevier B.V., All rights reserved.
PY - 2020/4/10
Y1 - 2020/4/10
N2 - As most industries in developing countries still follow a relatively rough development model, relying on expansionary investment and paying high environmental costs to promote economic growth, they also face the predicament of excess capacity. Conducting capacity utilization (CU) measurement research is the core of dealing with excess capacity. However, most existing research into capacity utilization is concentrated in the manufacturing, coal, and other industries. The quantitative evaluation of the construction industry capacity utilization is very rare, and the environmental impact factors are neglected. This study aims to develop a capacity utilization measurement index system and use it for the measurement of the construction industry capacity utilization. In doing this, based on the undesirable output perspective, it establishes a capacity utilization measurement index system that considers energy consumption and undesirable output (CO2) for the measurement of construction industry capacity utilization. Two data envelopment analysis-based (DEA-based) difference methods (the “no variable-link difference” and the “adding variable-link difference” methods) are used to measure China's construction industry capacity utilization between 2011 and 2017. The findings indicate that using the adding variable-link difference method is more accurate than the no variable-link difference method. It is also shown that the underutilization of capacity in China's construction industry in 2011–2014 is more serious, but it has improved in the past three years. In addition, with the exception of the Jiangsu and Guangxi provinces, there is underutilization of capacity in the construction industry in other provinces and cities in China. This study extends the existing knowledge system of capacity utilization, including the evaluation system, measurement, and assessment of capacity utilization, and management implications. Based on the perspective of undesirable outputs, this study lays a foundation for research into the capacity utilization in various industries by considering environmental factors. This study has practical significance for China and other developing countries to establish a nationwide capacity monitoring system.
AB - As most industries in developing countries still follow a relatively rough development model, relying on expansionary investment and paying high environmental costs to promote economic growth, they also face the predicament of excess capacity. Conducting capacity utilization (CU) measurement research is the core of dealing with excess capacity. However, most existing research into capacity utilization is concentrated in the manufacturing, coal, and other industries. The quantitative evaluation of the construction industry capacity utilization is very rare, and the environmental impact factors are neglected. This study aims to develop a capacity utilization measurement index system and use it for the measurement of the construction industry capacity utilization. In doing this, based on the undesirable output perspective, it establishes a capacity utilization measurement index system that considers energy consumption and undesirable output (CO2) for the measurement of construction industry capacity utilization. Two data envelopment analysis-based (DEA-based) difference methods (the “no variable-link difference” and the “adding variable-link difference” methods) are used to measure China's construction industry capacity utilization between 2011 and 2017. The findings indicate that using the adding variable-link difference method is more accurate than the no variable-link difference method. It is also shown that the underutilization of capacity in China's construction industry in 2011–2014 is more serious, but it has improved in the past three years. In addition, with the exception of the Jiangsu and Guangxi provinces, there is underutilization of capacity in the construction industry in other provinces and cities in China. This study extends the existing knowledge system of capacity utilization, including the evaluation system, measurement, and assessment of capacity utilization, and management implications. Based on the perspective of undesirable outputs, this study lays a foundation for research into the capacity utilization in various industries by considering environmental factors. This study has practical significance for China and other developing countries to establish a nationwide capacity monitoring system.
UR - http://www.scopus.com/inward/record.url?scp=85076840203&partnerID=8YFLogxK
U2 - 10.1016/j.jclepro.2019.119549
DO - 10.1016/j.jclepro.2019.119549
M3 - Article
AN - SCOPUS:85076840203
SN - 0959-6526
VL - 252
JO - Journal of Cleaner Production
JF - Journal of Cleaner Production
M1 - 119549
ER -