TY - JOUR
T1 - Regional green total factor performance analysis of China’s construction industry based on a unified framework combining static and dynamic indexes
AU - Li, Yan
AU - Wang, Jiangfeng
AU - Liu, Bin
AU - Li, Hongyan
AU - Guo, Yumin
AU - Guo, Xinru
N1 - Publisher Copyright:
© 2022, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.
PY - 2023/2
Y1 - 2023/2
N2 - It has an important meaning to improve green total factor performance in the construction industry for China’s green and high-quality development. In addition to the traditional desirable economic output and undesirable CO2 emission output, the indicators representing social welfare of China’s construction industry were incorporated into the total factor framework. On this basis, a global non-radial DEA approach was employed to explore the sources and the key factors leading to changes in regional green total factor performance of China’s construction industry from both static and dynamic perspectives. The results were concluded as follows: (1) The lower energy efficiency and CO2 emission efficiency were the main reasons for low level of green total factor efficiency. During the sample period, energy efficiency increased rapidly while capital efficiency remained almost unchanged. (2) The green total factor productivity demonstrated an increasing trend, which was driven by technological progress rather than technical efficiency. An in-depth decomposition revealed that the deterioration of technical efficiency was mainly caused by the negative effect of CO2 emissions. (3) Regional green total factor performance of China’s construction industry demonstrated obvious spatial heterogeneity. Each province should comprehensively consider its own characteristics of green development in the construction industry to formulate the corresponding optimization strategy. These findings can help decision makers design specific policies on regional-oriented green development of China’s construction industry.
AB - It has an important meaning to improve green total factor performance in the construction industry for China’s green and high-quality development. In addition to the traditional desirable economic output and undesirable CO2 emission output, the indicators representing social welfare of China’s construction industry were incorporated into the total factor framework. On this basis, a global non-radial DEA approach was employed to explore the sources and the key factors leading to changes in regional green total factor performance of China’s construction industry from both static and dynamic perspectives. The results were concluded as follows: (1) The lower energy efficiency and CO2 emission efficiency were the main reasons for low level of green total factor efficiency. During the sample period, energy efficiency increased rapidly while capital efficiency remained almost unchanged. (2) The green total factor productivity demonstrated an increasing trend, which was driven by technological progress rather than technical efficiency. An in-depth decomposition revealed that the deterioration of technical efficiency was mainly caused by the negative effect of CO2 emissions. (3) Regional green total factor performance of China’s construction industry demonstrated obvious spatial heterogeneity. Each province should comprehensively consider its own characteristics of green development in the construction industry to formulate the corresponding optimization strategy. These findings can help decision makers design specific policies on regional-oriented green development of China’s construction industry.
KW - Construction industry in China
KW - Global non-radial DEA approach
KW - Green development strategies
KW - Green total factor efficiency
KW - Green total factor productivity
KW - Social welfare
UR - https://www.scopus.com/pages/publications/85141721872
U2 - 10.1007/s11356-022-23980-z
DO - 10.1007/s11356-022-23980-z
M3 - 文章
C2 - 36370307
AN - SCOPUS:85141721872
SN - 0944-1344
VL - 30
SP - 26874
EP - 26888
JO - Environmental Science and Pollution Research
JF - Environmental Science and Pollution Research
IS - 10
ER -