Study on the Group Impact of Digital Financial Development on Carbon Emission Reduction Effect
DOI:
https://doi.org/10.54097/xv396k88Keywords:
Digital finance, Carbon emission reduction efficiency, Weighted SBM-DEA model, Dynamic QCA analysisAbstract
Significant socioeconomic changes are represented by carbon peaking and carbon neutrality, with digital finance being essential to improving the efficiency of carbon emissions. This study uses panel data from 30 Chinese provinces from 2011 to 2022 to create a weighted SBM-DEA model for evaluating carbon emission efficiency. Using the dynamic QCA method, it further investigates optimization paths taking into account the external environment, development stages, and digital finance. The findings show that digital banking improves carbon emission efficiency in every way. Notably, there is a significant amount of integration between digital finance, scientific and technology innovation, and environmental legislation. Additionally, even though the need for conditional variables shows a growing trend, the intergroup consistency distance stays below 0.2. To increase carbon emission efficiency, three key categories can be efficiently optimized: high-quality digital finance-led, digital innovation-driven, and digital finance-innovation synergistic.
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