Spatio-temporal characteristics and scenario prediction of carbon emissions from land use in Jiangxi Province, China DOI
Lian Duo, Yanfei Zhong, Wang Ju

и другие.

International Journal of Environmental Science and Technology, Год журнала: 2024, Номер unknown

Опубликована: Окт. 21, 2024

Язык: Английский

Digital economy to encourage sustainable consumption and reduce carbon emissions DOI

Huanyue Jiang,

Ehsan Elahi,

Mingtao Gao

и другие.

Journal of Cleaner Production, Год журнала: 2024, Номер 443, С. 140867 - 140867

Опубликована: Фев. 6, 2024

Язык: Английский

Процитировано

52

The impact of the digital economy on sustainable development: evidence from China DOI Creative Commons

Qiguang An,

Ruoyu Wang, Yongkai Wang

и другие.

Frontiers in Environmental Science, Год журнала: 2024, Номер 12

Опубликована: Март 26, 2024

This research investigates the intricate interplay among digital economy, green innovation, and level of sustainable development. Panel data from 268 cities in China, 2011 to 2020, are used comprehensively evaluate economy development investigate economy’s influence on Additionally, a mechanism analysis is contribution innovation. The findings suggest that significantly stimulates development, innovation serves as mediating intermediary moderating effect facilitating this relationship. Moreover, robustness check extends verification positive “Broadband China” policy strengthening reliability results. study provides management insights how regions can promote age.

Язык: Английский

Процитировано

11

Carbon emission effect of digital economy development: impact of digital economy development on China’s carbon dioxide emissions DOI

Yaru Yu,

Dongdong Liu, Ying Dai

и другие.

Clean Technologies and Environmental Policy, Год журнала: 2024, Номер 26(8), С. 2707 - 2720

Опубликована: Фев. 7, 2024

Язык: Английский

Процитировано

6

Carbon emission prediction of 275 cities in China considering artificial intelligence effects and feature interaction: A heterogeneous deep learning modeling framework DOI

Gongquan Zhang,

Fangrong Chang,

Jie Liu

и другие.

Sustainable Cities and Society, Год журнала: 2024, Номер 114, С. 105776 - 105776

Опубликована: Авг. 26, 2024

Язык: Английский

Процитировано

6

Dynamic evolution and spatial spillover effect of agricultural green development on eight economic regions in China DOI Creative Commons
Jingbo Shao, Lin Zhang, Chengzhi Cai

и другие.

Heliyon, Год журнала: 2024, Номер 10(12), С. e33188 - e33188

Опубликована: Июнь 1, 2024

Promoting the green development of agriculture is great significance to realize agricultural and rural modernization in China. Based on existing research, this paper innovatively explores dynamic spatial effects eight newly zoned regions China's economy. panel data 30 provinces China from 2013 2022, selects 20 indicators measure level five dimensions such as ecological protection, resource conservation, environment-friendly, supply economic growth by entropy weight method uses non-parametric estimation analyze evolution trend whole country its regions. Then, a econometric model constructed further explore influence mechanism spillover effect each influencing factor development. The findings demonstrate that continuously improved during study period, but characteristics are not same. Specifically, differences between country, northeast region, eastern coast, southern coast northwest region increased, while northern Yellow River basin middle reaches Yangtze first increased then decreased, southwestern gradually narrowed. There significant factors. Moreover, there heterogeneity various factors among Therefore, it proposed should formulate differentiated strategies, focus educational technological innovation etc., promote

Язык: Английский

Процитировано

5

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

Haiqiao Wang,

Li Shang, Decai Tang

и другие.

Sustainability, Год журнала: 2024, Номер 16(5), С. 2080 - 2080

Опубликована: Март 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.

Язык: Английский

Процитировано

4

Digital economy spillover on energy saving and emission reduction: Evidence from China DOI
Chengyou Li,

Chunji Zheng,

Mengxun Liu

и другие.

Energy, Год журнала: 2024, Номер 308, С. 133055 - 133055

Опубликована: Авг. 30, 2024

Язык: Английский

Процитировано

4

Whether Scientific and Technological Innovation Can Promote Carbon Productivity: an Empirical Analysis Based on Spatial Durbin Model and Threshold Effect Model DOI Open Access
Shuxiang Li, Y. Ma

Polish Journal of Environmental Studies, Год журнала: 2025, Номер unknown

Опубликована: Янв. 16, 2025

Based on the panel data of 30 provinces in China from 2011 to 2021, this paper constructs two index systems measure China's carbon productivity (CP) and level scientific technological innovation (STI) respectively.The two-way fixed effect model, spatial Durbin threshold model are used explore impact STI CP.The study found that: (1) can not only promote improvement local CP, but also have a positive spillover CP surrounding areas;(2) The influence has regional differences, eastern region significant both neighboring provinces; is obvious central western regions.(3) characteristic "marginal increasing" there single with R&D intensity as variables.The research conclusions provide empirical evidence for development lowcarbon economy, implications implementation coordinated innovation-driven strategies.

Язык: Английский

Процитировано

0

Impact of China’s outward foreign direct investment on the Belt and Road Initiative countries’ digital economy and energy transition DOI Creative Commons
Jiahui Jiang, Pin Li, Jinsuo Zhang

и другие.

Data Science and Management, Год журнала: 2025, Номер unknown

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

Does New Digital Infrastructure Contribute to Energy-Carbon Performance?The Path Analysis of Heterogeneous Technological Progress DOI
X. Zeng, Jian Tang, Ming Ji

и другие.

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0