Knowledge Agora



Similar Articles

Title Which factors stimulate industrial green total factor productivity growth rate in China? An industrial aspect
ID_Doc 31783
Authors Cui, HR; Wang, HR; Zhao, QZ
Title Which factors stimulate industrial green total factor productivity growth rate in China? An industrial aspect
Year 2019
Published Greenhouse Gases-Science And Technology, 9, 3
Abstract As an important evaluation transformation index, exploring green total factor productivity (GTFP) trend and related key factors is significant for China's economy entering into high-quality development and green transformation. In this study, stochastic frontier analysis (SFA) and kernel density function are used to evaluate GTFP growth trend for 36 China's industrial sectors during 2000-2016, and system generalized method of moment is used to explore their key driving factors. The results are as follows: First, SFA supplies efficient estimation for GTFP growth information. The 36 industrial sectors are classified into three emission types, that is, high-, moderate-, and low emission. Second, GTFP growth differs significantly in three types of sectors. With kernel density results for 36 sectors, the curve of GTFP growth has shifted upward and toward the left since 2010. For high-emission type sectors, their kernel curve has also moved upward and toward the left. The curve of moderate-emission type sectors significantly shifted toward the left, whereas the curve of low-emission type moved upward. Third, based on regression estimation results, environmental regulatory policy, resource input structure, foreign direct investment, and energy-type structure significantly influence GTFP growth. Technology innovation makes insignificant impact on GTFP for industrial sectors. In conclusion, sectorial heterogeneity should be paid more focus in order to improve their growth, especially for high-emission type sectors. Green technology innovation is the most potential factor in the future to stimulate GTFP growth in China. (c) 2019 Society of Chemical Industry and John Wiley & Sons, Ltd.
PDF

Similar Articles

ID Score Article
33745 Xiao, SY; Wang, SS; Zeng, FH; Huang, WC Spatial Differences and Influencing Factors of Industrial Green Total Factor Productivity in Chinese Industries(2022)Sustainability, 14.0, 15
33164 Chen, CF; Lan, QX; Gao, M; Sun, YW Green Total Factor Productivity Growth and Its Determinants in China's Industrial Economy(2018)Sustainability, 10.0, 4
32582 Fang, CD; Cheng, JH; Zhu, YG; Chen, JH; Peng, XJ Green total factor productivity of extractive industries in China: An explanation from technology heterogeneity(2021)
30342 Wang, HR; Cui, HR; Zhao, QZ Effect of green technology innovation on green total factor productivity in China: Evidence from spatial durbin model analysis(2021)
31499 Shi, XA; Li, LS Green total factor productivity and its decomposition of Chinese manufacturing based on the MML index:2003-2015(2019)
31544 Luo, YS; Mensah, CN; Lu, ZN; Wu, C Environmental regulation and green total factor productivity in China: A perspective of Porter's and Compliance Hypothesis(2022)
31456 Zhou, YY; Xu, YR; Liu, CZ; Fang, ZQ; Fu, XY; He, MZ The Threshold Effect of China's Financial Development on Green Total Factor Productivity(2019)Sustainability, 11, 14
31163 Yue, H; Zhou, ZZ; Liu, HW How does green finance influence industrial green total factor productivity? Empirical research from China(2024)
35493 Zhang, T; Yue, HF; Zhou, J; Wang, H Technological innovation paths toward green industry in China(2018)Chinese Journal Of Population Resources And Environment, 16, 2
33737 Liu, P; Luo, ZM A Measurement and Analysis of the Growth of Urban Green Total Factor Productivity--Based on the Perspective of Energy and Land Elements(2022)
Scroll