数字经济、绿色创新意愿与绿色创新绩效——数据要素内生化的理论研究与经验证据
Digital Economy,Green Innovation Willingness and Green Innovation Performance:An Theoretical Framework on the Endogenization of Data as Production Factors and Empirical Study
李小明 1董航航 2汪婵3
作者信息
- 1. 山东大学 经济研究院,山东 济南 250100
- 2. 重庆师范大学 经济与管理学院,重庆 401331
- 3. 上海财经大学 金融学院,上海 200433
- 折叠
摘要
本文基于偏向型技术进步框架,将数据要素引入生产研发过程,在理论上刻画了数字产业化的替代效应和产业数字化的渗透效应,构建了数字经济—绿色创新模型,并分析数字经济驱动清洁型和污染型研发相对收益变化,探寻数字经济对绿色创新的影响及绿色创新意愿的机制作用;进一步本文利用双向固定效应模型,基于 2011-2019 年我国城市层面数据进行实证检验.研究发现,数字经济显著提升了绿色创新绩效,该结论经过一系列稳健性检验后依然成立.机制研究表明,数字经济通过促进绿色创新意愿进而提升绿色创新绩效,绿色创新意愿是数字经济提升绿色创新绩效的重要影响机制.本文研究揭示了数字经济的绿色偏向性,为数字绿色发展提供理论支撑.
Abstract
Based on the Directed Technical Change framework,this paper introduces data as an en-dogenous element into the production and R&D process,and theoretically describes the substitution effect of digital industrialization and the penetration effect of industrial digitalization.A digital econ-omy-green innovation model has been constructed.This paper analyzes the changes in the relative returns of clean and polluting R&D driven by the digital economy,and explores the impact of the digital economy on green innovation and the mechanism of green innovation willingness.Finally,based on the city-level data in China,the theoretical proposition is empirically tested.The results show that:First,the digital economy significantly improves the performance of green innovation,and this conclusion is still valid after a series of robustness tests.Second,the mechanism research shows that the willingness to innovate is an important influencing mechanism for the digital econo-my to improve the performance of green innovation.This paper reveals the green bias of the digital economy and provides theoretical support for the green development of digitalization.
关键词
数字经济/绿色创新绩效/绿色创新意愿/偏向型技术进步Key words
Digital Economy/Green Innovation Performance/Green Innovation Willingness/Directed Technical Change引用本文复制引用
基金项目
山东省自然科学基金资助项目(ZR2023QG053)
山东省社会科学规划研究项目(23DJJJ17)
教育部人文社会科学研究青年基金项目(23YJC790069)
出版年
2024
NETL
NSTL
万方数据