首页|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

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

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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.
Digital Economy,Green Innovation Willingness and Green Innovation Performance:An Theoretical Framework on the Endogenization of Data as Production Factors and Empirical Study
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.

Digital EconomyGreen Innovation PerformanceGreen Innovation WillingnessDirected Technical Change

李小明、董航航、汪婵

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山东大学 经济研究院,山东 济南 250100

重庆师范大学 经济与管理学院,重庆 401331

上海财经大学 金融学院,上海 200433

数字经济 绿色创新绩效 绿色创新意愿 偏向型技术进步

山东省自然科学基金资助项目山东省社会科学规划研究项目教育部人文社会科学研究青年基金项目

ZR2023QG05323DJJJ1723YJC790069

2024

中南财经政法大学学报
中南财经政法大学

中南财经政法大学学报

CSTPCDCSSCICHSSCD北大核心
影响因子:1.854
ISSN:1003-5230
年,卷(期):2024.(1)
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