Green growth in pilot zones for green finance and innovation

Energy Policy, Journal Year: 2025, Volume and Issue: 202, P. 114611 - 114611

Published: March 27, 2025

Language: Английский

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Is air pollution the original sin of firms? The impact of air pollution on firms' ESG scores

Energy Economics, Journal Year: 2024, Volume and Issue: 136, P. 107704 - 107704

Published: June 15, 2024

This is the first article to demonstrate negative impact of air pollution as an informal institution on firms' ESG scores with listed manufacturing firms in China from 2010 2020. It based causal attribution theory and risk perception theory. We argue that, under current rating system, issues may be overly attributed firms, resulting decreased scores. find that when PM2.5 concentration increases by 1 μg/m3, decrease roughly 0.3 points. These results remained significant after a series robustness tests instrumental variable regressions. heavily polluting industries are almost twice affected those non-heavily industries. The labor-intensive also significantly higher than capital-intensive firms. State-owned large-scale less private or small show information asymmetry important influencing mechanism. Firms can reduce influence through active disclosure external media reports. note increasing firm survival risks. Our enrich literature contribute understanding institutions

Language: Английский

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Optimized air quality management based on air quality index prediction and air pollutants identification in representative cities in China

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Aug. 2, 2024

With the ongoing challenge of air pollution posing serious health and environmental threats, particularly in rapidly industrializing regions, accurate forecasting effective pollutant identification are crucial for enhancing public ecological stability. This study aimed to optimize quality management through prediction Air Quality Index (AQI) pollutants. Our spans nine representative cities (Hohhot, Yinchuan, Lanzhou, Beijing, Taiyuan, Xi'an, Shanghai, Nanjing, Wuhan) China, with data collected from January 1, 2015, November 30, 2021. We proposed a new model daily AQI prediction, termed VMD-CSA-CNN-LSTM, which employed advanced machine learning techniques, including convolutional neural networks (CNN) long short-term memory (LSTM) networks, leveraged chameleon swarm algorithm (CSA) hyperparameter optimization, integrated variational mode decomposition approach. The was developed using split ratio 8:1:1 into training, validation, test sets, achieving an RMSE 2.25, MAPE 0.02, adjusted R-squared 98.91%, training efficiency 5.31%. further externally validated other eight cities, yielding comparable results, above 96%, below 0.1, 7.5. Additionally, we random forest identify primary pollutants contributing levels. results indicated that PM2.5 most significant while PM10 dominant Hohhot, Lanzhou. In Wuhan, both were critical, ozone also identified as major pollutant. not only advances predictive accuracy models but aids policymakers by providing reliable tool strategic planning at reduction. integration these computational techniques monitoring practices offers promising avenue mitigating pollution-related risks.

Language: Английский

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How can AI reduce carbon emissions? Insights from a quasi-natural experiment using generalized random forest

Energy Economics, Journal Year: 2024, Volume and Issue: 141, P. 108040 - 108040

Published: Nov. 17, 2024

Language: Английский

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China's Healthy City Pilot Policy Improves Physical and Mental Health Outcomes for Middle‐Aged and Older Adults: A Quasi‐Natural Experiment Based on CHARLS

International Journal of Geriatric Psychiatry, Journal Year: 2025, Volume and Issue: 40(5)

Published: April 25, 2025

ABSTRACT Background Rapid urbanization in China has raised significant public health concerns, particularly regarding residents' physical and mental well‐being. Effective interventions are urgently needed to address these issues. Objective This study evaluates the impact of China's Healthy City Pilot Policy (HCPP), introduced 2016, on improving outcomes examines demographic differences mechanisms driving effects. Methods Using data from Health Retirement Longitudinal Study (CHARLS) 2011 2020, a difference‐in‐differences (DID) approach was employed, along with propensity score matching (PSM‐DID), placebo tests, sensitivity analyses for robust results. Results The HCPP significantly enhanced pilot cities, leading better self‐rated health, lower medical expenses, higher life satisfaction, reduced depression. These benefits were most pronounced among elderly, women, less‐educated individuals, residents rural central‐western regions. Key included increased exercise, social activities, improved air quality. Conclusion positively impacts urban especially vulnerable groups, highlighting urgent need integrate considerations into planning providing valuable insights future policy development.

Language: Английский

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Source control or end-of-pipe treatment: How green finance policy impacts enterprise carbon intensity

International Review of Financial Analysis, Journal Year: 2025, Volume and Issue: unknown, P. 104323 - 104323

Published: May 1, 2025

Language: Английский

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Regional Research on Ecological Environment in China: A Literature Review

Regional science and environmental economics, Journal Year: 2025, Volume and Issue: 2(2), P. 13 - 13

Published: May 21, 2025

With the rapid development of China’s economy, resource consumption and environmental pollution have become challenges faced by China in its process. In order to effectively achieve a balance between economic ecological protection, Chinese government has successively introduced strategies for environment construction. However, how scientifically evaluate quality regional environments, analyze related impacts, promote national governance always been difficult reach consensus continues receive attention from academic community. This paper sorts through research recent years about assessments summarize current assessment methods dimensions China, as well impact terms evaluation methods, this analyzes applicability limitations mainstream methods. dimensions, summarizes results different dimensions. construction, elaborates on three aspects influencing factors, effects method analysis. Based above analysis, finally proposes that focus future should be digital analysis quality, so provide more scientific accurate support governance.

Language: Английский

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Distributions, spatial patterns and source identification of n-alkanes in air and bulk deposition in the eastern coastal areas of China: Fluxes and removal efficiency of bulk deposition

Atmospheric Pollution Research, Journal Year: 2024, Volume and Issue: 15(5), P. 102083 - 102083

Published: Feb. 15, 2024

Language: Английский

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Environmental forcing and policy synergy: A multidimensional approach in the governance of air pollution and carbon emission

Environmental Research, Journal Year: 2024, Volume and Issue: 261, P. 119747 - 119747

Published: Aug. 9, 2024

Language: Английский

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Environmental regulation and tourism development: the case of Chinese water ecological civilization city pilot policy

Environment Development and Sustainability, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 12, 2024

Language: Английский

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