The spatial effects of green-innovation coupling and coordinated development from the perspective of digital inclusive finance: Evidence from China

IF 12.9 1区管理学 Q1 BUSINESS

Technological Forecasting and Social Change Pub Date : 2024-11-20 DOI:10.1016/j.techfore.2024.123884

Liming Zhang , Yuting Zhao , Liang Liu , Helin Sun , Yue Wang

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引用次数: 0

Abstract

The coupling and coordinated development of green-innovation (GICD) is a critical strategy to overcome the harmonious cohabitation challenge between economic development and ecological environment. Using data from Chinese provinces between 2011 and 2020, we investigate the impact of digital inclusive finance on green innovation by building a green-innovation coupling and coordinated development index evaluation system with coupled and coordinated scheduling and spatial Durbin model. This study conducts empirical tests to explore the mechanisms and nonlinear relationship from the perspectives of economic development level and fiscal decentralization. The findings indicate that digital inclusive finance can improve GICD and demonstrate the existence of spatial spillover effect. Additionally, digital inclusive finance enables the enhancement of GICD through the economic development level and curbs it through fiscal decentralization, and there is a nonlinear relationship between them. This study offers a better understanding of the relationship between digital inclusive finance and the coupling and coordinated development of green-innovation. This study also provides policy recommendations to boost green innovation coordinated development regarding a distinctive digital inclusive finance framework.

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数字普惠金融视角下绿色创新耦合与协调发展的空间效应：来自中国的证据

绿色创新耦合协调发展（GICD）是破解经济发展与生态环境和谐共生难题的重要战略。利用中国各省 2011-2020 年的数据，通过耦合协调调度和空间杜宾模型，构建绿色创新耦合协调发展指标评价体系，研究数字普惠金融对绿色创新的影响。本研究从经济发展水平和财政分权的角度进行实证检验，探讨其作用机制和非线性关系。研究结果表明，数字普惠金融能够改善 GICD，并证明了空间溢出效应的存在。此外，数字普惠金融通过经济发展水平提升 GICD，通过财政分权抑制 GICD，两者之间存在非线性关系。本研究有助于更好地理解数字普惠金融与绿色创新耦合协调发展之间的关系。本研究还就建立特色鲜明的数字普惠金融框架提出了促进绿色创新协调发展的政策建议。

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来源期刊

Technological Forecasting and Social Change Multiple-

CiteScore

21.30

自引率

10.80%

发文量

813

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