Chemical conversion of rural biomass waste: effective resource utilization and rural economic development
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Xiang Yin
Abstract
The rapid progress of Artificial Intelligence (AI) offers promising solutions to address the challenges of building a sustainable and environmentally conscious industry, a critical step towards achieving an ecological civilization. Environmental financing drives a low-carbon, circular, and eco-friendly economy, facilitating industrial growth and societal advancement. However, the precise relationship between environmental funding and the development of the green industry has not been thoroughly explored. This research analyses the coordinated development between environmental financing and the green industry, specifically focusing on China’s Yangtze River Economic Region. A comprehensive evaluation model was constructed utilizing data from 11 provinces and autonomous regions, combining cluster finance and economic efficiency models. The findings reveal increasing financial groups across different provinces and cities along the Yangtze River in the economic zone, accompanied by a convergence of urban ecological and economic efficiency. This paper proposes measures to enhance the ecological and financial efficiency of the Yangtze River economic zone, including strengthening regional financial and economic cooperation and promoting the construction of an ecological civilization.
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Research ethics: The local Institutional Review Board deemed the study exempt from review.
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Informed consent: Informed consent was obtained from all individuals included in this study.
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Author contributions: Xiang Yin have accepted responsibility for the entire content of this manuscript and approved its submission.
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Use of Large Language Models, AI and Machine Learning Tools: None declared.
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Conflict of interest: Authors state no conflict of interest.
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Research funding: There is no specific funding to support this research.
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Data availability: Not applicable.
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