Green finance, energy structure, and environmental pollution: Evidence from a spatial econometric approach

Wang, Bin; Wang, Yu; Cheng, Xiaoqiang; Wang, Jiaying

doi:10.1007/s11356-023-27427-x

Cited by 13 publications

(3 citation statements)

References 25 publications

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“…This phenomenon is also found in some studies on the relationship between green finance and the single system. For example, Wang et al argue that green finance is also non-linear for energy structure improvement [64]. In the early stage of green finance practice in China, there are unfavorable factors such as inadequate implementation of credit policies, vague policy details, unclear implementation standards, and lack of environmental information [65].…”

Section: Benchmark Regression Resultsmentioning

confidence: 99%

Can Green Finance Be a Regulator of “Water–Energy–Food” Synergy? Evidence from the Yangtze River Delta

Wang

2024

Sustainability

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The synergistic relationship between water, energy, and food faces increasing challenges. Green finance as a policy tool promotes high-quality and efficient development of water, energy, and food subsystems. However, whether it can improve the synergistic relationship of “water–energy–food” (WEF) still needs to be studied. Using the panel data of 38 prefecture-level cities in the Yangtze River Delta (YRD) from 2013 to 2021, and network DEA and panel regression models, we study the impact of green finance on the level of synergy of “water–energy–food”. The results of the study show that green finance can promote the synergy level of “water–energy–food” in the Yangtze River Delta city cluster, which was first inhibited and then promoted from 2013 to 2021. The impacts of green finance on the efficiency of the three subsystems are also characterized by a “U” shape. However, linear impacts show differences, with green finance improving the efficiency of the water subsystem but not the energy and food subsystems. The implementation of China’s national strategies empowers green finance. The digital strategy, the “dual carbon” strategy, and the new urbanization strategy have increased the effectiveness of green finance in contributing to the level of water–energy–food synergy. Regional heterogeneity analysis shows that the promotion effect of green finance mainly exists in non-resource-based cities, non-main grain-producing areas, and non-cities along the South-to-North water diversion route and large cities. Finally, this paper puts forward relevant policy recommendations.

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Section: Benchmark Regression Resultsmentioning

confidence: 99%

Can Green Finance Be a Regulator of “Water–Energy–Food” Synergy? Evidence from the Yangtze River Delta

Wang

2024

Sustainability

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“…The differences in AQI spatial distribution are intimately linked to factors such as industrial structure [15], energy structure [16], and geographical location. In the southern region of Beijing-Tianjin-Hebei, heavy industries like steel, chemicals, and building materials predominate, significantly impacting air quality.…”

Section: Local Spatial Auto-correlation Analysismentioning

confidence: 99%

Spatio-Temporal Dynamics and Haze Agglomeration Analysis in the Beijing-Tianjin-Hebei Region: A WOA-LSTM Approach

Wang,

Wu,

et al. 2023

JUDM

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The intensification of industrial and urban growth has precipitated a significant increase in atmospheric pollutant emissions, thereby exacerbating air quality deterioration. This phenomenon is particularly pronounced within the Beijing-Tianjin-Hebei urban agglomeration, where haze events have manifested with increasing frequency. Prior investigations have predominantly concentrated on temporal trends, often overlooking the critical impact of geographical factors on haze development. This research delves into the spatio-temporal distribution traits of haze within the Beijing-Tianjin-Hebei region, employing a Whale Optimization Algorithm-Long Short-Term Memory (WOA-LSTM) model. Findings indicate a pronounced spatial concentration of urban air pollution in the region's southern sector. In terms of temporal distribution, the Air Quality Index (AQI) demonstrates distinct seasonal fluctuations, with the highest pollution levels recorded in winter and notably lower levels observed during summer. The study's innovation lies in the development of a WOA-LSTM model, which not only predicts the AQI -a comprehensive haze pollution index -but also offers early warnings pertinent to public travel. By integrating extensive datasets and applying advanced analytical techniques, the study contributes significantly to understanding the complex interplay between urban dynamics and haze distribution. The research underscores the necessity for regional policies tailored to specific spatiotemporal characteristics, thereby aiding in effective air quality management and mitigation strategies within urban agglomerations.

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“…Lastly, green policies have higher costs than conventional practices, and green finance can assist an organization in covering these expenses without encountering significant financial obstacles. As a result, green financedriven economic growth can significantly support green policies, lessen environmental pollution, and build sustainable cities [128].…”

Section: Introductionmentioning

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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Green finance, energy structure, and environmental pollution: Evidence from a spatial econometric approach

Cited by 13 publications

References 25 publications

Can Green Finance Be a Regulator of “Water–Energy–Food” Synergy? Evidence from the Yangtze River Delta

Can Green Finance Be a Regulator of “Water–Energy–Food” Synergy? Evidence from the Yangtze River Delta

Spatio-Temporal Dynamics and Haze Agglomeration Analysis in the Beijing-Tianjin-Hebei Region: A WOA-LSTM Approach

Emerging new themes in green finance: a systematic literature review

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