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数字金融、绿色创新与绿色转型——基于省级面板数据的 PVAR 分析

Digital Finance, Green Innovation and Green Transformation

摘要: 在当前我国追求高质量发展的背景下,企业通过数字信息的深度应用,能够在生产、运营、销售以及研发创新等多个关键环节获得强大赋能,进而有效推动企业实现发展模式的全面升级与转型。本文基于全国29个省份(市、自治区)2011—2021年的面板数据,通过构建PVAR模型研究了数字金融、绿色创新和绿色转型这三者之间的动态影响关系,以期在加入更多相关信息并且考虑滞后影响,内生问题的情况下进行实证分析。研究表明:(1)滞后一期的绿色创新则对当前的数字金融发展没有显著影响。(2)滞后一期的数字金融对当前的绿色创新具有显著的正向影响,但在东部地区则没有显著影响。(3)滞后一期的绿色创新能够显著正向影响当前的绿色创新水平。

Abstract: Under the guidance of China’s pursuit of high-quality development, utilizing digital information can empower enterprises in various aspects such as production, operation, sales, and R&D innovation, eff ectively achieving an upgrade and transformation in enterprise development models. Based on the panel data of 29 provinces (municipalities and autonomous regions) in China from 2011 to 2021, this paper studies the dynamic impact relationship between digital finance, green innovation and green transformation by constructing a PVAR model, in order to conduct an empirical analysis under the condition of adding more relevant information and considering the lag impact and endogenous problems. Research shows that: (1) Green innovation that lags one period has no signifi cant impact on the current development of digital fi nance. (2) Digital fi nance with one period lag has a signifi cant positive impact on current green innovation, but has no signifi cant impact in the eastern region. (3) Green innovation lagging one period can signifi cantly positively aff ect the current level of green innovation.

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[V1] 2024-10-17 08:49:17 PSSXiv:202410.01467V1 下载全文
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