Temporal Evolution Pathway and Forecasting of Non‐Fossil Energy Consumption and Carbon Emission Under China's Carbon Peak Target: A Markov Switching AR and RNN Approach DOI
Bei Liu, Zhaoxuan Qiu, Jiachao Peng

и другие.

Expert Systems, Год журнала: 2024, Номер unknown

Опубликована: Окт. 13, 2024

ABSTRACT To fulfil the commitments of Paris Agreement, China will strive to achieve carbon peak (CP) by 2030. It is necessary identify evolution characteristics China's emissions and provide a scientific path prediction for formulation reasonable emission reduction policies measures. This study summarises predicts pathway using intensity (CEI) percentage non‐fossil energy consumption (NEC) as indicators, combining MSIH(3)‐AR(2) model recurrent neural network. The results show that: (1) CEI experiences ‘low decline regime’ (LDR), ‘medium (MDR) ‘high (HDR), while share NEC goes through fluctuation (LFR), growth (MGR) (HGR). (2) For CEI, switching probability from MDR HDR 74.88%, illustrating substantial improvement. NEC, MGR HGR 28.92%, but returning 61.76%, indicating an adjustment. (3) By 2030, reach 0.9896 tons/100 million CNY, decreased 66.35% compared with 2005. While rise 26.61%. Based on these, policy suggestions such strengthening top‐level design, upgrading mix accelerating green technological changes are proposed break bottlenecks reaching CP further zero goal. expected theoretical support empirical evidence achievement in China, references promoting ‘dual carbon’ process other countries.

Язык: Английский

The impact of artificial intelligence on green technology cycles in China DOI
Tong Fu, Zhaoxuan Qiu, Xiangyang Yang

и другие.

Technological Forecasting and Social Change, Год журнала: 2024, Номер 209, С. 123821 - 123821

Опубликована: Окт. 13, 2024

Язык: Английский

Процитировано

14

Interregional Environmental Policy Coordination, Natural Resource Endowment, and Green Economic Development: A Quantitative Analysis of China’s Policy Tests DOI Open Access
Tao Ge, Yuan Chen

Sustainability, Год журнала: 2025, Номер 17(2), С. 686 - 686

Опубликована: Янв. 16, 2025

Revealing the linkage between interregional coordination and a green economy is crucial to economic resilience high-quality development capabilities. Although local governments in China are increasingly emphasizing environmental policy coordination, academics have not fully investigated whether it can advance development. This research aims quantify from perspectives of actor tool further investigates its effects, particularly when considering mediating role natural resource endowment. The analysis based on policies related data issued by 284 cities 2003 2022. results indicate that (1) contributes development, which complementary indispensable. (2) It exhibits heterogeneity characteristics stronger promoting effect resource-rich areas, as well spillover gradually weaken with increasing distance. (3) Interregional promotes reducing abundance dependence; however, both mainly play lowering abundance. study offers useful insights for policymakers seeking maximize benefits while utilizing limited resources protecting environment.

Язык: Английский

Процитировано

0

Research on the synergistic effects of market-oriented environmental regulations on pollution and carbon emission reduction DOI
Yan Tang, Yang Hu,

Aiwei Cui

и другие.

Journal of Environmental Management, Год журнала: 2025, Номер 380, С. 125115 - 125115

Опубликована: Март 30, 2025

Язык: Английский

Процитировано

0

Spatial network characteristics and influencing factors of the synergistic effects of pollution reduction and carbon emission reduction in “Zero Waste City” clusters DOI

Peikun Su,

Xuhui Cong,

Liang Wang

и другие.

Journal of Cleaner Production, Год журнала: 2025, Номер 493, С. 144924 - 144924

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

0

Digital Finance and Reduction of Pollution and Carbon Emissions: A Case Study of China by Considering the Mediating, Moderating and Spatial Spillover Effects DOI Open Access

Haiyang Qiu,

Xin Li, Jian Kang

и другие.

Geological Journal, Год журнала: 2025, Номер unknown

Опубликована: Фев. 20, 2025

ABSTRACT In the digital age, using tools to promote environmental governance has gained significant attention. Digital finance (DF) integrates financial systems with technologies, offering a new financing channel and mechanism for collaboratively reducing pollutants carbon emissions (RPCEs). This paper explores multifaceted impact of DF on RPCE, China as case study. Utilising panel data from 30 provinces in 2011 2021, study applies benchmark regression, mediation, moderation spatial econometric models empirically analyse DF's effects mechanisms RPCE. The findings revealed that: (1) positively influences industrial structure upgrading playing key role this process. (2) RPCE varies across regions e‐government demonstration zones China, showing stronger central zones. (3) can be strengthened by increasing green fiscal expenditure. (4) negative spillover effect neighbouring areas was witnessed, where local development inhibited growth adjacent through ‘siphon effect’. As result, modern system should tailored regional characteristics while accelerating upgrading. By leveraging expenditure regulations, potential fully realised, creating synergistic

Язык: Английский

Процитировано

0

Towards urban low-carbon industrial development through air pollution reduction: A spatiotemporal synergy perspective DOI
Kang Gao

Gondwana Research, Год журнала: 2025, Номер unknown

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0

Management myopia and green investment: Evidence from China DOI

Meilin Jin,

Xinyao Li, Bei Liu

и другие.

Managerial and Decision Economics, Год журнала: 2024, Номер 45(8), С. 5290 - 5305

Опубликована: Июль 22, 2024

Abstract This paper examines the impact of management myopia on investment behavior green investors using A‐share listed companies from 2004 to 2020 in China. The research reveals that significantly inhibits investors. Through corporate reputation and development technologies, affects intentions Environmental project subsidies do not mitigate negative intentions. Interestingly, compared environmentally friendly projects categorized under “profit‐related” “reward” headings, form environmental grants exacerbate inhibitory effect investment.

Язык: Английский

Процитировано

3

Temporal Evolution Pathway and Forecasting of Non‐Fossil Energy Consumption and Carbon Emission Under China's Carbon Peak Target: A Markov Switching AR and RNN Approach DOI
Bei Liu, Zhaoxuan Qiu, Jiachao Peng

и другие.

Expert Systems, Год журнала: 2024, Номер unknown

Опубликована: Окт. 13, 2024

ABSTRACT To fulfil the commitments of Paris Agreement, China will strive to achieve carbon peak (CP) by 2030. It is necessary identify evolution characteristics China's emissions and provide a scientific path prediction for formulation reasonable emission reduction policies measures. This study summarises predicts pathway using intensity (CEI) percentage non‐fossil energy consumption (NEC) as indicators, combining MSIH(3)‐AR(2) model recurrent neural network. The results show that: (1) CEI experiences ‘low decline regime’ (LDR), ‘medium (MDR) ‘high (HDR), while share NEC goes through fluctuation (LFR), growth (MGR) (HGR). (2) For CEI, switching probability from MDR HDR 74.88%, illustrating substantial improvement. NEC, MGR HGR 28.92%, but returning 61.76%, indicating an adjustment. (3) By 2030, reach 0.9896 tons/100 million CNY, decreased 66.35% compared with 2005. While rise 26.61%. Based on these, policy suggestions such strengthening top‐level design, upgrading mix accelerating green technological changes are proposed break bottlenecks reaching CP further zero goal. expected theoretical support empirical evidence achievement in China, references promoting ‘dual carbon’ process other countries.

Язык: Английский

Процитировано

0