Research and Prediction Analysis of Key Factors Influencing the Carbon Dioxide Emissions of Countries Along the “Belt and Road” Based on Panel Regression and the A-A-E Coupling Model DOI Open Access

Xiangdong Feng,

Xiaolin Wang, Wen Li

и другие.

Sustainability, Год журнала: 2024, Номер 16(24), С. 11014 - 11014

Опубликована: Дек. 16, 2024

With the in-depth implementation of China’s “Belt and Road” strategic policy, member countries along Belt Road have gained enormous economic benefits. Thus, it is important to accurately grasp factors that affect carbon emissions coordinate relationship between development environmental protection, which can impact living environment people worldwide. In this study, researchers gathered data from World Bank database, identified key indicators significantly impacting emissions, employed Pearson correlation coefficient random forest model perform dimensionality reduction on these indicators, subsequently assessed refined using a panel regression examine significance across various country types. To ensure stability results, three prediction models were selected for coupling analysis: adaptive neuro-fuzzy inference system (ANFIS) field machine learning, autoregressive integrated moving average (ARIMA) model, exponential smoothing method (ES) time series prediction. These used assess 54 2021 2030, formula was defined integrate results. The findings demonstrated amalgamates forecasting traits approaches, manifesting remarkable stability. error analysis also indicated short-term results are satisfactory. This has substantial practical implications China in terms fine-tuning its foreign considering entire situation planning accordingly, advancing energy conservation emission

Язык: Английский

Exploring new frontiers in environmental leadership dynamics in the MENA region DOI

M.B. Saikrishna

Management & Sustainability An Arab Review, Год журнала: 2025, Номер unknown

Опубликована: Март 7, 2025

Purpose This study investigates trends in environmental leadership research the MENA region from 2003 to 2023, highlighting region’s unique challenges and increasing importance of sustainability governance. Design/methodology/approach A systematic review 140 articles was conducted using VOSviewer Biblioshiny identify key theoretical landscapes, streams contextual factors. The findings are analysed within PEST framework explore influence political, economic, social technological dimensions on leadership. Findings Research activity has significantly increased post-2012, driven by global initiatives regional policies such as Saudi Arabia’s Vision 2030. Key themes include governance, corporate responsibility application ISO 14001 standards, reflecting strategic priorities amidst socio-political economic complexities. Originality/value By addressing gaps literature, this integrates offer a nuanced understanding leadership, contributing advancements practical applications

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

Development of an e-governance system to support cooperative environmental policy actions DOI Creative Commons
Tibor Princz-Jakovics, Márton Szemenyei

Environment Systems & Decisions, Год журнала: 2024, Номер 44(4), С. 763 - 778

Опубликована: Окт. 11, 2024

Abstract The quality of the digital infrastructure supporting decisions is an important factor in preparation phase any environmental policy action, and this can greatly reduce level transaction costs. However, development a solution for Coaseian bargaining raises several unsolved technical problems to be able efficiently decrease external Here, we show recommended structure information communication technology (ICT)-based software that aims guide relevant stakeholders achieve deals enhance green innovations. After reviewing existing methods, practical solutions, economics costs, selected design process new platform. We identified functionality modules ICT with descriptions features. Our results demonstrated establishment ICT-based e-governance system featuring participatory modeling could costs based on widely used typology them. found our platform improve involvement group through collaboration. Furthermore, elaborate assessment risks evaluate potential avoid serious during implementation or operation system. anticipate paper initial step innovative interested parties actions.

Язык: Английский

Процитировано

1

Research and Prediction Analysis of Key Factors Influencing the Carbon Dioxide Emissions of Countries Along the “Belt and Road” Based on Panel Regression and the A-A-E Coupling Model DOI Open Access

Xiangdong Feng,

Xiaolin Wang, Wen Li

и другие.

Sustainability, Год журнала: 2024, Номер 16(24), С. 11014 - 11014

Опубликована: Дек. 16, 2024

With the in-depth implementation of China’s “Belt and Road” strategic policy, member countries along Belt Road have gained enormous economic benefits. Thus, it is important to accurately grasp factors that affect carbon emissions coordinate relationship between development environmental protection, which can impact living environment people worldwide. In this study, researchers gathered data from World Bank database, identified key indicators significantly impacting emissions, employed Pearson correlation coefficient random forest model perform dimensionality reduction on these indicators, subsequently assessed refined using a panel regression examine significance across various country types. To ensure stability results, three prediction models were selected for coupling analysis: adaptive neuro-fuzzy inference system (ANFIS) field machine learning, autoregressive integrated moving average (ARIMA) model, exponential smoothing method (ES) time series prediction. These used assess 54 2021 2030, formula was defined integrate results. The findings demonstrated amalgamates forecasting traits approaches, manifesting remarkable stability. error analysis also indicated short-term results are satisfactory. This has substantial practical implications China in terms fine-tuning its foreign considering entire situation planning accordingly, advancing energy conservation emission

Язык: Английский

Процитировано

0