The Neighborhood Effects of National Climate Legislation: Learning or Competition? DOI Open Access
Ying Liu,

Uma Murthy,

Chao Feng

и другие.

Sustainability, Год журнала: 2024, Номер 16(17), С. 7800 - 7800

Опубликована: Сен. 6, 2024

This study aims to explore the spatial spillover effects of national climate legislation on carbon emission reduction by using cross-country panel data from 2002 2021. The results show following: First, estimation outcomes confirm presence correlations between dioxide emissions and across countries. Second, shows that effect CO2 is significantly negative. Hence, indicate being surrounded nations with more laws positively impacts environmental quality. Third, regarding direct impact effects, parliamentary legislative acts stronger than governmental executive orders. Finally, even effect, we uncover robust evidence supporting an inverted-U-shaped EKC linkage GDP per capita, under effect.

Язык: Английский

Spatiotemporal evolution and driving factors of the synergistic effects of pollution control and carbon reduction in China DOI Creative Commons
Qinggang Meng, Xiaolan Chen, Hui Wang

и другие.

Ecological Indicators, Год журнала: 2025, Номер 170, С. 113103 - 113103

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

2

A comprehensive study on carbon emissions flows and key drivers within China's domestic and global value chains DOI

Anjing Wang,

Yu Liu, Bo Meng

и другие.

The Science of The Total Environment, Год журнала: 2024, Номер 916, С. 169894 - 169894

Опубликована: Янв. 8, 2024

Язык: Английский

Процитировано

11

Research on the coordinated development and convergence characteristics of China’s urban competitiveness and green total factor productivity DOI Creative Commons

Ruici Xia,

Danqi Wei,

Hongtao Jiang

и другие.

Ecological Indicators, Год журнала: 2024, Номер 161, С. 111954 - 111954

Опубликована: Март 28, 2024

The coordinated development of urban competitiveness (UC) and green total factor productivity (GTFP) is paramount for achieving global sustainable objectives, especially regional sustainability in China. This study utilizes panel data from 2011 to 2019 encompassing 273 Chinese cities evaluate the index employing projection pursuit method. research categorizes into four regions—East, Central, West, Northeast—for comparative analysis purposes. findings unveil: (1) a discernible rise both overall coordination between China; (2) throughout period, except fluctuations observed Northeastern China, other regions sustained relative stability, manifesting trend divergence-convergence; (3) across all demonstrated β-convergence, with Central China exhibiting swiftest convergence slowest; (4) taking account factors such as government intervention, industrial structure, human capital, there likelihood that growth rate diverse will converge towards synergistic trend. Therefore, strive enhance productivity, governmental attention should be directed discerning developmental trends influencing affecting their coordination. Such an approach facilitate realization objectives while propelling synchronized advancement productivity.

Язык: Английский

Процитировано

9

Dynamic spatiotemporal evolution and spatial effect of carbon emissions in urban agglomerations based on nighttime light data DOI
Hao Wu, Yi Yang, Wen Li

и другие.

Sustainable Cities and Society, Год журнала: 2024, Номер 113, С. 105712 - 105712

Опубликована: Июль 27, 2024

Язык: Английский

Процитировано

8

System dynamics-multiple the objective optimization model for the coordinated development of urban economy-energy-carbon system DOI
Lu Chen, Xin Li, Wei Liu

и другие.

Applied Energy, Год журнала: 2024, Номер 371, С. 123710 - 123710

Опубликована: Июнь 19, 2024

Язык: Английский

Процитировано

7

Industrial Carbon Emission Distribution and Regional Joint Emission Reduction: A Case Study of Cities in the Pearl River Basin, China DOI

Hongtao Jiang,

Jian Yin, Bin Zhang

и другие.

Chinese Geographical Science, Год журнала: 2024, Номер 34(2), С. 210 - 229

Опубликована: Янв. 25, 2024

Язык: Английский

Процитировано

5

Implications of carbon policies for flexible demand and smart production with random lead time demand under a sustainable supply chain management DOI
Bablu Mridha, Biswajit Sarkar

Environment Development and Sustainability, Год журнала: 2025, Номер unknown

Опубликована: Март 5, 2025

Язык: Английский

Процитировано

0

Study on Carbon Emission Accounting Method System and Its Application in the Iron and Steel Industry DOI Open Access

Le Ren,

Sihong Cheng,

Yali Tong

и другие.

Sustainability, Год журнала: 2025, Номер 17(9), С. 3829 - 3829

Опубликована: Апрель 24, 2025

Amid global climate change and the pursuit of carbon neutrality, steel industry, a major source emissions, urgently requires robust scientific emission accounting system to achieve sustainable development. This study systematically examines methods in constructing comprehensive framework that includes method classification, application analysis, future trend projections. The aim is provide theoretical support practical guidance for industry’s low-carbon transition. Through in-depth analysis existing methods, this summarizes their characteristics regarding boundaries, calculation principles, data requirements, explores current applications limitations industry. Looking ahead, research anticipates with advancement new-generation information technologies increasing governance demands, industry will evolve towards digitalization, refinement, standardization, offering more reliable transformation. offers foundation direction precise management enterprises provides basis policymakers develop effective reduction policies strategies, thereby promoting development

Язык: Английский

Процитировано

0

Chinese Cities Show Disparity Trends in Carbon Efficiency: A Hybrid Approach Combining Explainable Machine Learning and Econometrics DOI
Le Ma, Tao Cheng, Longgang Xiang

и другие.

Sustainable Cities and Society, Год журнала: 2025, Номер unknown, С. 106455 - 106455

Опубликована: Май 1, 2025

Язык: Английский

Процитировано

0

Forecasting carbon dioxide emissions using adjacent accumulation multivariable grey model DOI
Wei Yang,

Zhengran Qiao,

Lifeng Wu

и другие.

Gondwana Research, Год журнала: 2024, Номер 134, С. 107 - 122

Опубликована: Июль 9, 2024

Язык: Английский

Процитировано

3