Spatial-temporal evolution characteristics and influencing factors of work safety level in construction industry

doi:10.16265/j.cnki.issn1003-3033.2020.01.005

Abstract

Abstract: In order to improve work safety of construction industry correspondingly at a macro level, it is essential to clarify its spatial-temporal evolution and influencing factors. Firstly, an analysis model of work safety level based on DEA-GCE was presented under window analysis framework. Then, it was applied to evaluate work safety level of construction industry between 2012 and 2017 in provinces and regions of China, and spatial-temporal evolution and influencing factors were identified and explored by using cluster analysis, exploratory spatial analysis and multiple regression analysis methods. The results show that work safety level of China's construction industry presents four temporal evolution characteristics, namely low level maintaining type, high level stable type, fluctuatingly decreasing type and fluctuatingly improving type, and its spatial agglomeration is obvious with an increasingly enhanced trend of positive spatial correlation. Among all factors, local economic development, construction as a proportion of GDP, that of state-owned construction assets of total assets, survey and design, number of supervisors and government's investment in supervision are major influencing factors for work safety level,and all elements are positively correlated with that except from the proportion of state-owned assets.

Key words: work safety level, construction industry, spatial-temporal characteristics, influence factors, windows analysis, data envelopment analysis game cross-evaluation (DEA-GCE)

CLC Number:

X913.4

ZHENG Xiazhong, TONG Liyang, CHEN Guoliang. Spatial-temporal evolution characteristics and influencing factors of work safety level in construction industry[J]. China Safety Science Journal, 2020, 30(1): 27-34.

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