How Does a Green Supply Chain Improve Corporate Carbon Performance DOI Open Access
Qian Zou, Shidong Ge, Yu Peng

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(20), P. 8825 - 8825

Published: Oct. 12, 2024

Drawing from A-share listed companies’ data the Shanghai and Shenzhen stock markets in China (2013–2022), this paper adopts differential model to test impact mechanism of a green supply chain (GSC) pilot on enterprises. The results show that GSC effectively improved carbon performance enterprises passed series robustness tests. Mechanism analysis finds innovation, efficiency improvement, environmental information disclosure (EID) can reduce emissions moderating effect discovers regulation attention strengthened role improving performance. In addition, had better reduction mature, technology-intensive, non-state-owned above research conclusions provide strong support for government build promote low-carbon development.

Language: Английский

Synergistic emission reduction effect of pollution and carbon in China's agricultural sector: Regional differences, dominant factors, and their spatial-temporal heterogeneity DOI
Mengyang Hou,

Xuehua Cui,

Yalin Xie

et al.

Environmental Impact Assessment Review, Journal Year: 2024, Volume and Issue: 106, P. 107543 - 107543

Published: May 1, 2024

Language: Английский

Citations

20

Siphon and radiation effects of ICT agglomeration on green total factor productivity: Evidence from a spatial Durbin model DOI
Jianda Wang, Dongsheng Guo

Energy Economics, Journal Year: 2023, Volume and Issue: 126, P. 106953 - 106953

Published: Aug. 14, 2023

Language: Английский

Citations

41

What urban spatial structure is more conducive to reducing carbon emissions? A conditional effect of population size DOI
Kaifang Shi, Guifen Liu,

Yuanzheng Cui

et al.

Applied Geography, Journal Year: 2022, Volume and Issue: 151, P. 102855 - 102855

Published: Dec. 23, 2022

Language: Английский

Citations

40

Coupling analysis and driving factors between carbon emission intensity and high-quality economic development: Evidence from the Yellow River Basin, China DOI
Qiufeng Zhang, Junfeng Li, Yue Li

et al.

Journal of Cleaner Production, Journal Year: 2023, Volume and Issue: 423, P. 138831 - 138831

Published: Sept. 15, 2023

Language: Английский

Citations

34

Green innovation and resource efficiency to meet net-zero emission DOI Open Access
Wenguang Tang,

Liuqing Mai,

Meifeng Li

et al.

Resources Policy, Journal Year: 2023, Volume and Issue: 86, P. 104231 - 104231

Published: Oct. 1, 2023

Language: Английский

Citations

34

Heterogeneity study on mechanisms influencing carbon emission intensity at the county level in the Yangtze River Delta urban Agglomeration: A perspective on main functional areas DOI Creative Commons
Yu Guo, Zihao Tong, Huiling Chen

et al.

Ecological Indicators, Journal Year: 2024, Volume and Issue: 159, P. 111597 - 111597

Published: Jan. 25, 2024

Identifying the regional heterogeneity characterizing mechanisms influencing carbon emissions is crucial to scientific formulation of emission reduction targets and strategies. The studies that have been conducted limitations in terms classification criteria study scales, their findings are limited reflect actual situation. In this study, perspective main functional area chosen as entry point carry out classification. First, 305 county-level administrative districts Yangtze River Delta urban agglomeration (YRDUA) categorized into four different types areas according official standards. Then, differences intensity (CEI) within outside each analyzed. STIRPAT model (Stochastic Impacts by Regression on Population, Affluence Technology) used analyze impact various factors areas. results show there significant CEI areas, indicating feasibility necessity studying from area. key development (KDA) optimized (ODA) dominate evolution CEI, especially KDA should be core for reduction. There population density, industrial structure government intervention. Our provides a basis subregional regulation

Language: Английский

Citations

9

Prediction of energy-related carbon emission intensity in China, America, India, Russia, and Japan using a novel self-adaptive grey generalized Verhulst model DOI
Xuemei Li, Zhiguo Zhao, Yufeng Zhao

et al.

Journal of Cleaner Production, Journal Year: 2023, Volume and Issue: 423, P. 138656 - 138656

Published: Sept. 6, 2023

Language: Английский

Citations

22

How can Chinese metropolises drive global carbon emissions? Based on a nested multi-regional input-output model for China DOI

Mingdong Jiang,

Yumeng Huang, Y. Bai

et al.

The Science of The Total Environment, Journal Year: 2022, Volume and Issue: 856, P. 159094 - 159094

Published: Sept. 28, 2022

Language: Английский

Citations

28

Environmental assessment of hydrogen: does hydrogen matter for environmental efficiency improvement? DOI
Congyu Zhao, Kangyin Dong, Farhad Taghizadeh–Hesary

et al.

Energy Sources Part B Economics Planning and Policy, Journal Year: 2023, Volume and Issue: 18(1)

Published: April 4, 2023

This paper first measures the level of environmental efficiency (EE) in 72 countries between 2001 and 2019 by adopting Global Malmquist-Luenberger productivity index framework super slack-based-measure model. Then, using instrument variable-generalized method moments (IV-GMM) approach, we examine role hydrogen development increasing EE. We also pay attention to asymmetric effect, moderating mediating effect development-EE nexus. Several findings are highlighted as follows: (1) Hydrogen can significantly increase (2) The marginal impact on EE is positive with a high EE, while it insignificant low which shows enhancement development. (3) Foreign direct investment key variable nexus strengthen this And (4) analysis documents that technological progress an effective through affects According these results, propose several policy implications for acceleration

Language: Английский

Citations

11

Coupling coordination and spatial network characteristics of carbon emission efficiency and urban green innovation in the Yellow River Basin, China DOI Creative Commons
Keyao Yu, Zhigang Li

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Nov. 12, 2024

Carbon emission and sustainable development have attracted global attention. Promoting urban green innovation (UGI) in the Yellow River Basin (YRB) will help lowering intensity of carbon emissions improve safety sustainability. A SBM-DEA model was constructed to measure efficiency (CEE) degree coupling coordination with UGI calculated 73 prefecture-level cities YRB. The spatial association network CEE coupled is by using a modified gravity model, social analysis quadratic assignment procedure (QAP), analyze potential energy, characteristics clustering characteristics. study found that: (1) YRB shows fluctuating growth, mutual promotion continuous coordinated development. (2) linkage between gradually close, energy increases year year, obvious spillover effect, indicating that radiation influence are increasing. In contrast middle stream, upstream downstream regions show higher percentage entire network, their structure more intricate robust. (3) patterns three major clusters examined block exploring positioning functions various these conglomerations, which includes net spillover, benefit, two-way broker plate, so as strengthen connection cities. (4) Factors such adjacency, industrial structure, population density, digital economy urbanization level, significantly impact along temporal regional heterogeneity. Therefore, tailored policies needed collaboration UGI, fostering circular promoting

Language: Английский

Citations

4