Shan Haiyan, Shao Shangmiao
School of Management Science and Engineering, Nanjing University of Information Science and Technology, Nanjing, 210044, China.
Sci Rep. 2024 Jun 18;14(1):14032. doi: 10.1038/s41598-024-64554-y.
Green innovation directly encompasses the two major concepts of green and innovation in the new development concepts, which provides a powerful driving force to support Chinese-style modernisation. This paper empirically tests the relationship between green innovation and carbon emission intensity using a double fixed effects model. Based on the panel data of 30 provinces in China, the mediation effect model of "green innovation-big data-carbon emission" is constructed. The result shows that green innovation has a noticeable direct negative effect on urban carbon emission intensity. The conclusions are robust after considering measurement errors and endogenous problems. Furthermore, it is found that big data plays a significant role in strengthening the relationship between green innovation and carbon emission intensity. The findings in this study not only advance the study on green innovation and carbon emissions but also provide a new perspective on the role of big data.
绿色创新直接涵盖了新发展理念中的绿色和创新这两个主要概念，为中国式现代化提供了强大的驱动力。本文运用双重固定效应模型对绿色创新与碳排放强度之间的关系进行实证检验。基于中国30个省份的面板数据，构建了“绿色创新—大数据—碳排放”的中介效应模型。结果表明，绿色创新对城市碳排放强度具有显著的直接负向影响。在考虑测量误差和内生性问题后，结论依然稳健。此外，研究发现大数据在强化绿色创新与碳排放强度之间的关系方面发挥着重要作用。本研究的结果不仅推进了对绿色创新和碳排放的研究，还为大数据的作用提供了新的视角。
