The Impact of Digital Finance on the Efficiency of Green and Low-Carbon Economy Under the Dual Carbon Background: Based on Panel Data of Chinese Cities

  1. Sanglin Zhao

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Abstract

The SDG goal of the United Nations has defined the concept of green sustainable development. At the same time, with the rapid development of China's economy, the concept of green new development is also an important guiding ideology for economic development. Under this background, how to explore the development mode of environmental green and economic growth has become an important issue in society, and exploring the impact of digital financial development on green economic efficiency has important practical significance for economic green transformation and low-carbon development.This paper selects the panel data of 271 prefecture-level cities in China from 2011 to 2020 as the research sample, and uses the super-efficiency SBM model with unexpected output to measure the green economic efficiency of each city. Analyze the temporal and spatial evolution trend of green economic efficiency and digital finance and reveal the development trend and regional differences. On this basis, the differences between different regions, different levels of digital finance development and different resource-based cities are discussed through group regression. Furthermore, the spatial Dobbin model is constructed to analyze the spatial spillover effect of green economic efficiency driven by digital finance, and the driving reasons are further analyzed by decomposing the green economic efficiency. This paper provides policy basis for green sustainable development.

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    This Zenodo record is a permanently preserved version of a Structured PREreview. You can view the complete PREreview at https://prereview.org/reviews/16729052.

    Does the introduction explain the objective of the research presented in the preprint? Yes
    Are the methods well-suited for this research? Highly appropriate
    Are the conclusions supported by the data? Highly supported
    Are the data presentations, including visualizations, well-suited to represent the data? Highly appropriate and clear
    How clearly do the authors discuss, explain, and interpret their findings and potential next steps for the research? Very clearly
    Is the preprint likely to advance academic knowledge? Highly likely
    Would it benefit from language editing? No
    Would you recommend this preprint to others? Yes, it's of high quality
    Is it ready for attention from an editor, publisher or broader audience? Yes, as it is

    Competing interests

    The author declares that they have no competing interests.

  2. Version published to 10.20944/preprints202507.2167.v1