How does green finance affect human well-being in the context of aging populations? Evidences from China DOI
Yourong Yao, Zixuan Wang, Chun Kwok Lei

и другие.

Sustainability Accounting Management and Policy Journal, Год журнала: 2024, Номер 16(1), С. 259 - 291

Опубликована: Авг. 28, 2024

Purpose The purpose of this study is to investigate the influence green finance on human well-being in China context urbanization and aging population. It aims explore contributions such demographic scenarios. Design/methodology/approach This innovates optimizes calculation carbon intensity (CIWB) index strengthens integrity assessment model for development. uses serial multiple mediator moderation effect analysis address impact provincial level from 2009 2020. Findings Green has a significant, positive direct well-being. Simultaneously, it influences indirectly through three transmission channels. Urbanization an ageing population are significant individual mediators which contributes improvement. Notably, these two also work together transfer promotional Practical implications government can perfect regulations strengthen market ecosystem accelerate development finance. Reforms administrative division expand size cities with implementation friendly strategy necessary. Attracting incoming foreign investment sustainable projects adjusting public trade activities fulfil principles regarded as essential. Social findings challenge traditional views populations, highlighting beneficial role improving amidst changes. offers new perspective economic environmental sustainability societies. Originality/value A multi-dimensional indicator, CIWB used indirect impacts exhibited. novel insights channels behind, identifies mediating empirical evidences strong academic policy implications.

Язык: Английский

Research on the impact of green finance on collaborative governance of pollution reduction and carbon reduction DOI Creative Commons
Ke Lu, Dongri Han, Chaoyang Li

и другие.

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Апрель 18, 2025

Collaborative governance of pollution reduction and carbon is an important measure to achieve the goal "green ecological civilization construction" in China. This paper utilizes coupling coordination degree model assess level collaborative reduction, while entropy method employed quantify green finance development index. Using provincial panel data from 2013 2022 China, this initially explores direct relationship between through a baseline regression model. Secondly, considering heterogeneity geographical location energy endowment, categorizes sample provinces into distinct regions conduct heterogeneous analysis. Lastly, employing threshold model, examines non-linear impact on with finance, technology innovation, new industry as variables. The following results are obtained test: (1) Green significantly directly impacts reduction. (2) effect varies by showing pattern "Central > Western Eastern Northeast" "Energy-rich areas Non-energy-rich areas." (3) Considering regional heterogeneity, exhibits varying effects In case low level, high development, can have more positive influence. study offer certain reference value for government formulate relevant policies create good environment.

Язык: Английский

Процитировано

0

Spatiotemporal patterns and regional disparities in the coupling and coordination between green finance and ecological environment in China DOI Creative Commons
Zebin Liu, Wei Xiang, Jingjing Wang

и другие.

Frontiers in Environmental Science, Год журнала: 2025, Номер 13

Опубликована: Апрель 25, 2025

Existing studies predominantly explore the link between green finance and ecological environment but overlook their dynamic spatiotemporal evolution regional disparities. This study optimizes coupling coordination degree (CCD) model employs methods such as Dagum innovates by optimizing CCD integrating spatial econometrics with distribution methodologies to measure dynamics in China from 2013 2022. Findings reveal an overall upward trend significant The Eastern region exhibits a “high-high” clustering effect, while Central Western regions face “low-low” lock-in, reflecting “Matthew effect.” Green innovation environmental governance improve level, whereas resource consumption hinders it, varying impacts. These insights inform targeted strategies, emphasizing cooperation innovation-driven policies for balanced development.

Язык: Английский

Процитировано

0

The effect of green finance on CO2 reduction in Kazakhstan DOI
Kim Angelina, Feng He

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

Опубликована: Май 8, 2025

Язык: Английский

Процитировано

0

The nexus of sustainable finance, digitalisation and blue economy on carbon emissions and sustainable development: evidence from East Asia DOI
Beenish Amir,

Ayesha Afzal

Management of Environmental Quality An International Journal, Год журнала: 2025, Номер unknown

Опубликована: Май 12, 2025

Purpose Developing strategies to mitigate the adverse environmental effects of climate change requires a thorough understanding various factors that influence it ensure Sustainable Development Goals related sustainability are met. In past few decades, role digitalisation in all sectors economy has been highlighted, and this research explored nexus between digitalisation, sustainable finance blue understand their on carbon emissions for East Asian economies. Design/methodology/approach This is an empirical study which sample six economies from 2009 2023 was selected secondary databases analysed using panel-corrected standard errors feasible generalised regression techniques. Findings emphasize crucial significance restricting emissions. Moreover, results also suggest imports have mitigating effect emissions; however, exports economic growth strongly linked degradation. Blue indicators such as aquaculture marine tourism significantly positive influence, thereby emphasising need revise government policies favour development. Practical implications will extend existing knowledge by taking into consideration innovation issues 2030 Agendas. It discover, discuss select poorly covered or unknown literature regarding contributions achieve SDGs actual efficacy previously used measurements, especially concerning decision-making. Originality/value The presented novel insights approaching challenges UN (UN SDG’s) agenda.

Язык: Английский

Процитировано

0

How does green finance affect human well-being in the context of aging populations? Evidences from China DOI
Yourong Yao, Zixuan Wang, Chun Kwok Lei

и другие.

Sustainability Accounting Management and Policy Journal, Год журнала: 2024, Номер 16(1), С. 259 - 291

Опубликована: Авг. 28, 2024

Purpose The purpose of this study is to investigate the influence green finance on human well-being in China context urbanization and aging population. It aims explore contributions such demographic scenarios. Design/methodology/approach This innovates optimizes calculation carbon intensity (CIWB) index strengthens integrity assessment model for development. uses serial multiple mediator moderation effect analysis address impact provincial level from 2009 2020. Findings Green has a significant, positive direct well-being. Simultaneously, it influences indirectly through three transmission channels. Urbanization an ageing population are significant individual mediators which contributes improvement. Notably, these two also work together transfer promotional Practical implications government can perfect regulations strengthen market ecosystem accelerate development finance. Reforms administrative division expand size cities with implementation friendly strategy necessary. Attracting incoming foreign investment sustainable projects adjusting public trade activities fulfil principles regarded as essential. Social findings challenge traditional views populations, highlighting beneficial role improving amidst changes. offers new perspective economic environmental sustainability societies. Originality/value A multi-dimensional indicator, CIWB used indirect impacts exhibited. novel insights channels behind, identifies mediating empirical evidences strong academic policy implications.

Язык: Английский

Процитировано

2