Environmental technology import and carbon emissions intensity convergence: Analysis for the Belt and Road Initiative countries DOI
Muhammad Abdus Salam, Yingzhi Xu

Energy & Environment, Journal Year: 2023, Volume and Issue: unknown

Published: Oct. 29, 2023

Since the official launch of Belt and Road Initiative (BRI) in 2013, China BRI countries have been working for implementation certain environmental measures to make project green clean. For this purpose, planned implement measures. Although can efficiently these measures, most face technological deficiencies lack proper plannings. To tackle deficiencies, import technology from China. Moreover, they communicate their protection policies with better policy guidance. The current study, therefore, aims examine whether countries’ reduce carbon emissions countries. it also examines that should follow or six European (EU-6) minimum intensity. This study considers a sample 88 selected (BRI-88) period 2001–2019. results obtained β convergence (based on panel quantile regression model) suggest not all but only relatively higher intensity significantly average by importing which is more feasible them. However, regarding goods policy, both EU-6.

Language: Английский

Spatiotemporal differentiation of carbon emission efficiency and influencing factors: From the perspective of 136 countries DOI
Yaping Xiao, Dalai Ma, Fengtai Zhang

et al.

The Science of The Total Environment, Journal Year: 2023, Volume and Issue: 879, P. 163032 - 163032

Published: March 23, 2023

Language: Английский

Citations

96
Research Themes, Evolution Trends, and Future Challenges in China’s Carbon Emission Studies DOI Open Access

Haiqiao Wang,

Li Shang, Decai Tang

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(5), P. 2080 - 2080

Published: March 1, 2024

A profound analysis of China’s research achievements in the realm carbon emissions holds potential to furnish insightful references for analogous endeavors and inquiries other nations. Employing CiteSpace tool, this paper identifies five major focal points Chinese scholars’ on emissions: emission computation prediction, influencing factors emissions, footprint, efficiency, differential emissions. Subsequently, article systematically scrutinizes dissects outcomes aforementioned points, culminating recommending forthcoming (1) The findings reveal a diversified evolution methods employed calculating predicting China. However, due limited exploration delineating boundaries, instances overlap deviation quantification have emerged. (2) Factors can be categorized into classes: economic, demographic, energy-related, policy-driven, others. Yet, studies investigating industry-specific remain relatively scarce. (3) Overcoming challenges associated with cross-boundary measurements, comprehensive effects, policy applications is imperative footprint research. (4) Significantly disparate levels efficiency prevail across distinct regions or industries, intricacies characterizing notable dearth micro-level investigations. (5) differentials primarily encompasses regional disparities, industrial differentials, temporal variations, lacking sustained tracking nuances disparities.

Language: Английский

Citations

4
Spatially Correlated Network Structure and Influencing Factors of Carbon Emission Efficiency in the Power Industry: Evidence from China DOI Creative Commons

Sun Bao-jun,

Taiwen Feng, Mingjing Du

et al.

Systems, Journal Year: 2025, Volume and Issue: 13(1), P. 30 - 30

Published: Jan. 3, 2025

As the largest carbon-emitting industry in China, power has huge potential for carbon emission reductions. It is vital to study spatial correlation of efficiency (CEEP) from a system perspective understand interaction mechanisms CEEP different provinces. This applies SBM-undesirable model measure and modified Gravity social network analysis (SNA) method are applied analyze mechanism perspective. Finally, influencing factors CEEP’s investigated using quadratic allocation procedure (QAP) method. The results show that (1) national gradually increasing, while gap between provinces widening; (2) overall size shows an increasing trend, but hierarchical structure somewhat fixed; (3) central province high degree consistency with geographically province, spillover effect node on peripheral not sufficient; (4) differences geographic proximity, energy intensity, technical level generation significantly affect formation spatially correlated networks CEEP.

Language: Английский

Citations

0
Spatiotemporal analysis of carbon emission efficiency across economic development stages and synergistic emission reduction in the Beijing-Tianjin-Hebei region DOI
Wei Qing, Lianqing Xue,

H. Y. Zhang

et al.

Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 377, P. 124609 - 124609

Published: Feb. 21, 2025

Language: Английский

Citations

0
Spatiotemporal Evolution and Influencing Factors of Carbon Emission Efficiency in the Yellow River Basin of China: Comparative Analysis of Resource and Non-Resource-Based Cities DOI Open Access

Ying-qi XU,

Yu Cheng,

Ruijing Zheng

et al.

International Journal of Environmental Research and Public Health, Journal Year: 2022, Volume and Issue: 19(18), P. 11625 - 11625

Published: Sept. 15, 2022

Comparing the carbon emission efficiency (CEE) of resource and non-resource-based cities in Yellow River Basin (YRB) can guide their synergistic development low-carbon transition. This study used super-efficiency slacks-based measure (super-SBM) model to CEE YRB. Kernel density estimation Theil index decomposition methods were explore spatiotemporal evolutionary patterns, a panel regression was established analyze influencing factors CEE. The research results showed that two types have an overall upward trend time, with widening regional gap. Resource-based mainly displayed characteristics decentralized agglomeration, while convergent agglomeration. Panel levels economic development, indus-trial structure, population are significantly positively correlated YRB, foreign direct investment endowment negatively Except for industrial there is some variability contribution remaining cities. suggest developing classification measures transition

Language: Английский

Citations

15
Analysis of Carbon Emission Efficiency in the Yellow River Basin in China: Spatiotemporal Differences and Influencing Factors DOI Open Access

Jiao Wang,

Zhenliang Liao,

Hui Sun

et al.

Sustainability, Journal Year: 2023, Volume and Issue: 15(10), P. 8042 - 8042

Published: May 15, 2023

A good grasp of the carbon emission efficiency (CEE) provinces in Yellow River basin (YRB) China, and its influencing factors, can help promote sustainable development region smooth realization national reduction target. Based on stochastic frontier analysis (SFA), this paper calculates CEE nine YRB from 2005 to 2019, then, analyzes spatial temporal characteristics. The Durbin model (SDM) with two-way fixed effects is selected investigate factors YRB. results suggest that: (1) overall shows a slow upward trend, although gap between large, it slowly narrowing; (2) there significant negative autocorrelation YRB; (3) technological innovation capability, energy consumption structure, population density, urban greening level are most affecting Both density have positive effect improvement themselves whole YRB, also spillover due density. Technological capability structure had impact province during research period. This study may some reference value for improving

Language: Английский

Citations

7
Differential Analysis of Carbon Emissions between Growing and Shrinking Cities: A Case of Three Northeastern Provinces in China DOI Creative Commons

Yuanzhen Song,

Jian Tian,

Weijie He

et al.

Land, Journal Year: 2024, Volume and Issue: 13(5), P. 648 - 648

Published: May 10, 2024

Carbon emission issues are becoming increasingly severe, and the carbon emissions in shrinking cities, primarily characterized by population loss, often overlooked insufficiently studied. This paper focuses on from county-level administrative units China’s three northeastern provinces 2001 to 2017. The study scientifically identified cities measured differences characteristics between growing using Theil index. Ultimately, constructs a panel spatial econometric model analyze factors influencing them explore their effects. (1) total Three Northeastern Provinces exhibited an inverted U-shaped trend, increasing 734.21 million tons 1731.73 2017, with Mann–Kendall trend test showing significant increase; spatially, this manifests as positive autocorrelation. (2) region has 138 accounting for over 50%; regarding characteristics, index consistently remained above 0.18, indicating of cities. (3) results show that have unique directions, intensities, In aside localized GDP effects per-capita acting suppressant, size pronounced inhibitory effect local surrounding emissions. analysis reveals patterns mechanisms cities; based these results, proposes differentiated control strategies.

Language: Английский

Citations

2
Challenges to environmental governance arising from the Russo–Ukrainian conflict: Evidence from carbon emissions DOI
Linna Han,

Zixuan Zhou,

Baofeng Shi

et al.

Journal of Environmental Management, Journal Year: 2023, Volume and Issue: 349, P. 119481 - 119481

Published: Nov. 1, 2023

Language: Английский

Citations

6
Differentiation Analysis on Carbon Emission Efficiency and Its Factors at Different Industrialization Stages: Evidence from Mainland China DOI Open Access

Lijie Wei,

Zhibao Wang

International Journal of Environmental Research and Public Health, Journal Year: 2022, Volume and Issue: 19(24), P. 16650 - 16650

Published: Dec. 11, 2022

Industrial production is currently the main source of global carbon emissions. There are obvious differences in regional emission efficiencies (CEE) at different industrial stages. We investigate CEE and explore its factors mainland China industrialization stages from 2008-2020 using super-SBM model with an undesirable output STIRPAT model. significant spatial heterogeneity CEE, gaps gradually widening. CEE’s mid-industrialized provinces narrowing, while late-industrialized post-industrialized provinces, it also differ At mid-industrialization stage, structure (IS) dominant factor, population urbanization (PU) late-industrialization both PU IS post-industrialization stage. Based on characteristics stages, we propose suggestions for green development.

Language: Английский

Citations

8
Study on Carbon Emission Efficiency Evaluation and Influencing Factors of Chinese Pharmaceutical Manufacturing Industry DOI Open Access
Ying Cui,

Shuzhen Chu

Pharmacology &amp Pharmacy, Journal Year: 2023, Volume and Issue: 14(04), P. 98 - 111

Published: Jan. 1, 2023

To measure the carbon emission efficiency of China’s pharmaceutical manufacturing industry, explore factors affecting and provide reference for improving industry promoting government to formulate macro policies. Based on data in 30 provinces China from 2010 2019, based SBM model ML (Malmquist-Luenberger) index model, was calculated its dynamic change investigated, Tobit further used influencing industry. The inter-provincial has steadily improved. eastern region is higher than that western region, central region. dominated by technological progress, there room improvement efficiency. regions are Compared with efficiency, progress needs be Environmental regulation, industrial agglomeration innovation level positively affect while foreign investment no significant impact

Language: Английский

Citations

4