The effect of green finance on industrial pollution emissions: Evidence from China

Lan, Jing; Wei, Yi‐Ming; Guo, Jin; Li, Qiuming; Liu, Zhen

doi:10.1016/j.resourpol.2022.103156

Cited by 47 publications

(13 citation statements)

References 28 publications

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“…However, this effect was located at a low level of environmental benefits of green finance. This finding differs from Lan et al (2023) that green finance showed a positive relationship with industrial pollution emissions in the second stage. Under the path of industrial…”

Section: Threshold Model Estimationcontrasting

confidence: 99%

Non-linear effects of green finance on air quality in China: New evidence from a panel threshold model

2023

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Environmental problems, including air pollution, have upset the balance between the environment and economic development. In the face of worsening air pollution, growing attention is being paid to the role of financial institutions. To investigate how finance affects air pollution, this study used data from 30 Chinese provinces from 2014–2020, while considering industrial structure optimization and energy structure as threshold variables to propose a panel threshold model, which elucidates a nonlinear relationship between green finance and air quality in China. The panel data are sorted based on urbanization level, resource dependence, and geospatial distribution to examine the heterogeneous effects of green finance on air pollution. The analysis demonstrated that green finance considerably improves the overall air quality in Chinese provinces, but the effect is gradually weakened with the optimization of industrial structure and the improvement of clean energy efficiency. Moreover, green finance exerts a greater inhibitory impact on air pollution through industrial structure optimization compared to the impact of energy structure optimization. Regional variations in the environmental benefits of green finance were discerned. Resource dependence exacerbates the inhibiting impact of green finance on air pollution in the resource-based regions, while urbanization weakens the environmental benefits of green finance in urbanized regions. In terms of geographical distribution, green finance exhibited the best effect on air quality in western China. These findings shed the light on the positive role of green finance on air quality in China, thereby highlighting its importance for the air quality improvement programs of the provincial scales in China.

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Section: Threshold Model Estimationcontrasting

confidence: 99%

Non-linear effects of green finance on air quality in China: New evidence from a panel threshold model

2023

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“…The authors focused on studies on sustainable investment options, analyzed how environmental, social, and governance aspects are incorporated into financial decision-making, and evaluated how sustainability affects financial performance. Researchers are expected to advance ethical and sustainable financial practices and help the world accomplish its sustainability goals by studying sustainability within the context of green finance [5,25,43,46,59,73,77,90,91,94,104,109,138,161,163,165,167,171].…”

Section: Discussionmentioning

confidence: 99%

Emerging new themes in green finance: a systematic literature review

Mudalige

2023

Futur Bus J

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There is a need for an extensive understanding of the emerging themes and trends within the domain of green finance, which is still evolving. By conducting a systematic literature review on green finance, the purpose of this study is to identify the emerging themes that have garnered significant attention over the past 12 years. In order to identify the emerging themes in green finance, bibliometric analysis was performed on 978 publications that were published between 2011 and 2023 and were taken from the databases of Scopus and Web of Science. The author examined annual scientific production, journal distribution, countries scientific production, most relevant authors, most frequent words, areas where empirical research is lacking, words' frequency over time, trend topics, and themes of green finance. The outcome of the review identified the following seven themes: (i) green finance and environmental sustainability; (ii) green finance and investments; (iii) green finance and innovation; (iv) green finance policy/green credit guidelines; (v) green finance and economy; (vi) green finance and corporate social responsibility; (vii)trends/challenges/barriers/awareness of green finance. The analysis of these emerging themes will contribute to the existing corpus of knowledge and provide valuable insights into the landscape of green finance as it evolves.

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“…Various previous empirical studies have scrutinized the connection between urbanization and environmental risk. The soundness of the “Environmental Kuznets Curve (EKC)” assumption has been extensively assessed in the past studies, mainly arguing that the association between growth and the environment is either reversed U-type or N-shaped [ 35 , 36 ]. Adhering to the idea of EKC, [ 37 , 38 ], and [ 16 ] established that the influence of growth and urbanization on environmental deterioration are upturn U- designed.…”

Section: Literature Reviewmentioning

confidence: 99%

Dynamic nonlinear CO2 emission effects of urbanization routes in the eight most populous countries

Xu,

Zeng,

et al. 2024

PLoS ONE

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A dynamic STIRPAT model used in the current study is based on panel data from the eight most populous countries from 1975 to 2020, revealing the nonlinear effects of urbanization routes (percentage of total urbanization, percentage of small cities and percentage of large cities) on carbon dioxide (CO2) emissions. Using “Dynamic Display Unrelated Regression (DSUR)” and “Fully Modified Ordinary Least Squares (FMOLS)” regressions, the outcomes reflect that percentage of total urbanization and percentage of small cities have an incremental influence on carbon dioxide emissions. However, square percentage of small cities and square percentage of total urbanization have significant adverse effects on carbon dioxide (CO2) emissions. The positive relationship between the percentage of small cities, percentage of total urbanization and CO2 emissions and the negative relationship between the square percentage of small cities, square percentage of total urbanization and CO2 emissions legitimize the inverted U-shaped EKC hypothesis. The impact of the percentage of large cities on carbon dioxide emissions is significantly negative, while the impact of the square percentage of large cities on carbon dioxide emissions is significantly positive, validating a U-shaped EKC hypothesis. The incremental effect of percentage of small cities and percentage of total urbanization on long-term environmental degradation can provide support for ecological modernization theory. Energy intensity, Gross Domestic Product (GDP), industrial growth and transport infrastructure stimulate long-term CO2 emissions. Country-level findings from the AMG estimator support a U-shaped link between the percentage of small cities and CO2 emissions for each country in the entire panel except the United States. In addition, the Dumitrescu and Hulin causality tests yield a two-way causality between emission of carbon dioxide and squared percentage of total urbanization, between the percentage of the large cities and emission of carbon dioxide, and between energy intensity and emission of carbon dioxide. This study proposes renewable energy options and green city-friendly technologies to improve the environmental quality of urban areas.

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The effect of green finance on industrial pollution emissions: Evidence from China

Cited by 47 publications

References 28 publications

Non-linear effects of green finance on air quality in China: New evidence from a panel threshold model

Non-linear effects of green finance on air quality in China: New evidence from a panel threshold model

Emerging new themes in green finance: a systematic literature review

Dynamic nonlinear CO2 emission effects of urbanization routes in the eight most populous countries

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