Can Money Help to Achieve the Paris Agreement Goal? The Missing Piece of the Puzzle: How Green Monetary Policy Can Bridge the Emissions Gap DOI

H. Zia,

Wanping Yang, Abdullah Masood

et al.

Economic Analysis and Policy, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 1, 2024

Language: Английский

Study on the impact of green digital finance on low-carbon transition of energy consumption structure under multidimensional perspective-empirical evidence from China DOI Creative Commons
Yarong Shi, Bo Yang

Energy Strategy Reviews, Journal Year: 2024, Volume and Issue: 54, P. 101445 - 101445

Published: June 5, 2024

Green digital finance plays a crucial role in driving green production, consumption and facilitating the low-carbon transition of energy structures. This paper delves into impact on this transformation from multidimensional perspective for first time. The study reveals that developing effectively elevates level carbon reduction Both industrial restructuring innovation green, technologies play significant conduit roles advancing structures through finance, with mutually reinforcing relationship between them. Formal environmental regulations act as positive regulators, influencing strategic choices entities technology innovation. exhibits heterogeneous effects due to factors such geographical location, financial regulatory intensity, informal regulations, marketization, resource endowment. conclusions hold substantial significance practical reference value China's ongoing efforts advance construction new system high-quality development.

Language: Английский

Citations

13

The coupling and coordinated development of digital finance and green finance under the vision of “dual carbon” and the examination of carbon emission reduction effect DOI Creative Commons
Yarong Shi, Bo Yang

Sustainable Futures, Journal Year: 2024, Volume and Issue: 7, P. 100217 - 100217

Published: May 29, 2024

This paper measures the coupling coordination development level between digital finance and green in Chinese provinces investigates their carbon emission reduction effects. The study reveals that has a significant effect, displaying an inverted "U" shape with marginal effect first increases then decreases. There are substantial differences moderating effects of formal environmental regulation informal regulation. Furthermore, central western regions, areas higher financial regulatory intensity, non-resource-based provinces, is more pronounced.

Language: Английский

Citations

12

The panacea of heatwaves: Can climate finance mitigate heatwave welfare costs? DOI Creative Commons
Congyu Zhao, Kangyin Dong, Rabindra Nepal

et al.

International Journal of Disaster Risk Reduction, Journal Year: 2025, Volume and Issue: unknown, P. 105197 - 105197

Published: Jan. 1, 2025

Language: Английский

Citations

1

How does green finance affect carbon emission intensity? The role of green technology innovation and internet development DOI Creative Commons
Qiufeng Zhang, Huan Huang, Liang Chen

et al.

International Review of Economics & Finance, Journal Year: 2025, Volume and Issue: unknown, P. 103995 - 103995

Published: Feb. 1, 2025

Language: Английский

Citations

1

The Impact of Green Finance on Agricultural Pollution and Carbon Reduction: The Case of China DOI Open Access
Li Ling Cao, Jiaqi Gao

Sustainability, Journal Year: 2024, Volume and Issue: 16(14), P. 5832 - 5832

Published: July 9, 2024

Based on the double-carbon target, agricultural sector has implemented concept of being green and synergistically promoted pollution carbon reduction. Positioned as a novel financial paradigm, finance places greater emphasis environmental stewardship compared to its traditional counterparts. This focus enhances resource allocation efficiency, thereby achieving goal reducing emissions. To research influence reduction, this study leverages panel data spanning 2011 2021 from 31 provinces, autonomous regions, municipalities across China. It employs fixed-effect model mediating-effect model. The findings reveal that: (1) Green exerts notable both emissions in agriculture, with latter showing more pronounced effect. (2) Regional disparities exist finance, affecting (3) By fostering technological innovation optimizing industrial frameworks, emerges catalyst for curbing surface dioxide agriculture. On basis, relevant suggestions are put forward provide policy insights improving system, which will help further promote

Language: Английский

Citations

6

Spatiotemporal Evolution and Future of Carbon Storage in Resource-Based Chinese Province: A Case Study from Shanxi Using PLUS–InVEST Model Prediction DOI Open Access
Yingwen Jiao, Yuhui Wang,

Chenghong Tu

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(11), P. 4461 - 4461

Published: May 24, 2024

Resource exploitation markedly alters land use and ecological carbon storage, posing risks to sinks food security. This study analyzes land-use change from 1990 2020 in the resource-based province of Shanxi, China. By introducing a mineral resource driver, PLUS model was used predict four scenarios: natural development (ND), cropland protection (CP), (EP), dual ecology (DP). The spatial temporal evolutions storage were then analyzed using InVEST model. Forests predominantly distributed mountainous areas, with croplands southerly central flat construction lands around cities, mining sporadically across Shanxi. From 2020, grasslands decreased, while forest, construction, increased. Carbon decreased continuously, total loss 15.1 × 106 t. High-value areas Lüliang, Taihang, Taiyue Mountains, low-value more populous southern regions. predicted decline by 2035 under ND CP scenarios exceed that EP DP scenarios. scenario projected an increase 4.93 t 2035. realizes maintains security, providing theoretical reference for achieving neutrality high-quality sustainable Shanxi Province.

Language: Английский

Citations

5

Shades of green: Unveiling the impact of municipal green bonds on the environment DOI Creative Commons
Marta Campi, Gareth W. Peters,

Kylie-Anne Richards

et al.

Franklin Open, Journal Year: 2024, Volume and Issue: 7, P. 100113 - 100113

Published: May 24, 2024

Green bonds allocate proceeds towards environmentally beneficial projects and sustainable development goals, distinguishing themselves from traditional primarily in the use of determination. However, investors often find it challenging to assess carbon reduction potential these because lack standardised environmental impact reporting. In response this, our research constructs a unique set indicators derived financial datasets, using multivariate analysis techniques that can accommodate detection both linear non-linear relationships. A novel method combining kernel Principal Component Analysis (kPCA) Canonical Correlation (CCA) is applied detect spatial–temporal cross-correlation datasets. This approach handles variable comparability issues differential treatment categorical numerical variables. significant finding this study emerges when methodology attributes obtained green issued by municipal agencies (muni bonds), pollution data (climate) nine California counties. The results detailed indicate there measurable evidence relationships between bond issuance their for efforts. particular, show clear interpretable correlation directly linked amount effect having on reduction, underscoring tangible instruments have efforts California. Conversely, comes detecting positive climate change effects, inconclusive current studies' analysis. It was found were weaker observed which perhaps indicative fact effects take much longer time frame occur. As such findings regard may not are occurring initiatives, but rather ability measure detectable improvements with currently limited will manifest statistically fashion given data. particularly likely be case only infancy as market, had earliest last 15-20 years substantial growth market over 10 years. Therefore, aspect investigating longer-term develop.

Language: Английский

Citations

5

Digital technology, green innovation, and the carbon performance of manufacturing enterprises DOI Creative Commons
Jinke Li,

L. Ji,

Shuang Zhang

et al.

Frontiers in Environmental Science, Journal Year: 2024, Volume and Issue: 12

Published: June 17, 2024

With the continuous promotion of digitalization and global trend toward a low-carbon economy, issue whether enterprises can enhance their carbon performance with assistance digital technology has aroused widespread attention from both academia industry. In order to explore improve manufacturing enterprises, this study, based on resource orchestration theory signaling theory, utilizes data China’s A-share 2012 2021 empirically investigate relationship between firms. It also explores mediating conduction path boundary influencing factors them. Its findings demonstrate that: is capable improving performance; green innovation (including collaboration) partially effects; there catalytic role for environmental information disclosure in utilizing performance. Building this, we find that impacts technology, innovation, vary due differences nature industries strategic aggressiveness enterprises. Specifically, seems somewhat more pronounced among firms high-tech industry those employing defensive analytical strategies. Additionally, effects generated by are adopt This study reveals inherent mechanism enhancing which provides empirical evidence development improvement thus helping promote economic transformation.

Language: Английский

Citations

5

The impact of green finance on energy transition and carbon emission targets: Exploring the double threshold and spatial spillover effects among the regions DOI
Chonghui Zhang,

Cong Wang,

Huanhuan Jin

et al.

Structural Change and Economic Dynamics, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 1, 2024

Language: Английский

Citations

5

Differences in Carbon Intensity of Energy Consumption and Influential Factors between Yangtze River Economic Belt and Yellow River Basin DOI Open Access

Qian Wang,

Shiwei Chen,

Tiantian Qu

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(6), P. 2363 - 2363

Published: March 13, 2024

The Yangtze River Economic Belt and the Yellow Basin are significant economic ecological zones in China, contributing over 70% of nation’s total carbon emissions, crucial for achieving “peak carbon” “carbon neutrality” targets. This study examines data spanning 2000 to 2020 from 19 provinces, employing time-series analysis Theil index compare intensity variations energy consumption between regions. Findings reveal mean values 0.0482 0.1699 Basins, respectively. While basin displays modest differences with remaining intra-basin disparities, exhibits substantial discrepancies, attributed both inter-basin factors. Our geodetector underscores significance government regulation, population size, development influencing within Belt, impact coefficients exceeding 0.75 while is influenced by consumption, surpassing 0.8. Additionally, interactions among these factors significantly affect disparities intensity, suggesting a synergistic effect. We propose leveraging key basins orchestrate emissions reduction efforts.

Language: Английский

Citations

4