TY - JOUR
T1 - Measure is treasure
T2 - Revisiting the role of environmental regulation in Chinese industrial green productivity
AU - Ouyang, Xiaoling
AU - Liao, Jiaying
AU - Sun, Chuanwang
AU - Cao, Yan
N1 - Publisher Copyright:
© 2022 Elsevier Inc.
PY - 2023/1
Y1 - 2023/1
N2 - Green productivity plays an important role in China's industrial economy. By adopting the technique of Malmquist Luenberger index based on the non-radial directional distance function (NDDF), this paper evaluates the green total factor productivity (GTFP) of the 36 sub-industries in China's industrial field from 2005 to 2015. On this basis, this article further investigates the effects as well as impact mechanisms of environmental regulation (ER) on the industrial GTFP. The empirical analysis reveals that there is a significant positive correlation between ER and industrial green growth, with a one-standard-deviation rise in ER leading to an average 0.0683% GTFP increase. Through the decomposition procedure of Chinese industrial GTFP, we further prove that technological progress, compared to technical efficiency improvement, plays a more essential role in driving industrial green growth. Results of the intermediate effects model indicate that ER can promote the industrial GTFP through industrial structure upgrading. We also find that the effect of ER varies with the levels of per capita output, energy efficiency, and technology intensity. This study sheds new light on the effects of ER on industrial GTFP from perspectives of heterogeneous effects and impact mechanisms analysis.
AB - Green productivity plays an important role in China's industrial economy. By adopting the technique of Malmquist Luenberger index based on the non-radial directional distance function (NDDF), this paper evaluates the green total factor productivity (GTFP) of the 36 sub-industries in China's industrial field from 2005 to 2015. On this basis, this article further investigates the effects as well as impact mechanisms of environmental regulation (ER) on the industrial GTFP. The empirical analysis reveals that there is a significant positive correlation between ER and industrial green growth, with a one-standard-deviation rise in ER leading to an average 0.0683% GTFP increase. Through the decomposition procedure of Chinese industrial GTFP, we further prove that technological progress, compared to technical efficiency improvement, plays a more essential role in driving industrial green growth. Results of the intermediate effects model indicate that ER can promote the industrial GTFP through industrial structure upgrading. We also find that the effect of ER varies with the levels of per capita output, energy efficiency, and technology intensity. This study sheds new light on the effects of ER on industrial GTFP from perspectives of heterogeneous effects and impact mechanisms analysis.
KW - Environmental regulation
KW - Green total factor productivity
KW - Industrial heterogeneity
KW - Influence mechanism analysis
UR - https://www.scopus.com/pages/publications/85141243276
U2 - 10.1016/j.eiar.2022.106968
DO - 10.1016/j.eiar.2022.106968
M3 - 文章
AN - SCOPUS:85141243276
SN - 0195-9255
VL - 98
JO - Environmental Impact Assessment Review
JF - Environmental Impact Assessment Review
M1 - 106968
ER -