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数字普惠金融对碳排放的影响效应——基于双边随机前沿模型

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在数字普惠金融蓬勃发展的背景下,数字普惠金融如何影响区域碳排放是一个具有重大现实意义的研究命题.对2011-2022年30个省市的面板数据构建双边随机前沿模型,结果表明:我国数字普惠金融对碳排放具有正向和负向的双边效应,其中数字普惠金融发展对碳排放造成的促进效应强于抑制效应,促进效应使区域碳排放强度增高13.63%,抑制效应使碳排放强度降低3.08%,两者的综合作用使碳排放强度比基准水平高10.55%.
Impact of Digital Financial Inclusion on Carbon Emissions:Based on the Bilateral Stochastic Frontier Model
In the context of the vigorous development of digital financial inclusion,how digital financial inclusion affects regional carbon emissions is a research proposition of great practical significance.Based on the panel data of 30 provinces and cities from 2011 to 2022,a bilateral stochastic frontier model is constructed,and the results show that China's digital financial inclusion has positive and negative bilateral effects on carbon emissions,among which the promotion effect of digital financial inclusion on carbon emissions is stronger than the inhibition effect.Such promotion effect increases the regional carbon emission intensity by 13.63%,and the inhibition effect reduces the carbon emission intensity by 3.08%.The combined effect of the two makes the carbon emission intensity 10.55%higher than the benchmark level.

digital financial inclusioncarbon emissionsbilateral stochastic frontier modelbilateral effect

林桢、范晓雪

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华北水利水电大学管理与经济学院,河南郑州 450045

数字普惠金融 碳排放 双边随机前沿模型 双边效应

2024

商业观察

商业观察

ISSN:
年,卷(期):2024.10(24)