Does digital economy keep enterprises out of green innovation trouble? evidence from “double carbon” goal

被引：0
作者：
Li, Huiquan [1 ]
Li, Jingdong [2 ]
Qin, Binbin [1 ]
Sun, Xiaoshuang [3 ]
Lin, Qingning [4 ]
机构：
[1] School of Business Administration, South China University of Technology, 381, Wushan Street, Tianhe District, Guangdong, Guangzhou
[2] Center of High-Quality Development Research, Beijing Academy of Science and Technology, 16 Xizhimen South Street Xicheng, Beijing
[3] Affiliated Hospital of Jining Medical University, 89 Guhuai Road, ShandongShandong, Jining City
[4] Institute of Agricultural Economics and Development, Chinese Academy of Agricultural Sciences, 12, Zhongguancun South Street, Haidian, Beijing
来源：
Environmental Science and Pollution Research | 2024年 / 31卷 / 37期
关键词：
Digital economy; Green innovation; Quality and quantity; The “double carbon” goal;
D O I：
10.1007/s11356-024-34476-3
中图分类号：
学科分类号：
摘要：
The proposal of the “dual carbon” targets has provided direction for promoting China’s economic green transformation and green innovation. As enterprises are important entities driving technological innovation in China, enhancing their green innovation capabilities holds significant practical significance for reducing carbon emissions. While the flourishing development of the digital economy currently provides new avenues and impetus for enterprise green innovation, research on the micro-level effects of green innovation driven by digital economy is still lacking. Therefore, based on data from Chinese cities spanning 2010 to 2021 and micro-level data of listed enterprises, this paper employs fixed effect model and intermediary effect model to empirically test the effect and mechanism of urban digital economy development on the quality and quantity of enterprise green innovation. Additionally, it investigates the carbon emission reduction effect resulting from digital economy development. The findings are as follows: (1) The development of digital economy exhibits a significant green innovation effect, effectively enhancing both the “quality and quantity” of enterprise green innovation. Particularly noteworthy is its impact on the quality of green innovation in enterprises, a result corroborated by several robustness tests. (2) Promoting regional knowledge spillover and alleviating enterprise financing constraints emerge as mechanisms through which the digital economy enhances the “quality and quantity” of enterprise green innovation. (3) Heterogeneity testing reveals that the digital economy exerts a greater green innovation effect on enterprises located in regions characterized by higher environmental regulations, high-tech industries, and state-owned enterprises. (4) Further analysis demonstrates that the digital economy effectively reduces enterprises carbon emissions and enhances their carbon performance by driving green innovation, thus providing endogenous impetus for achieving the “dual carbon” goals. By examining the effects and mechanisms of green innovation driven by digital economy from the perspectives of promoting knowledge spillover and alleviating financing constraints, this study enriches theoretical research on the relationship between the digital economy and green innovation at the enterprise micro-level. It offers new insights for governments in formulating green innovation policies and serves as a reference for green innovation decision-making in other developing countries. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024.
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页码：49855 / 49873
页数：18
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共 66 条
  • [1] Arora A., Belenzon S., Sheer L., Knowledge spillovers and corporate investment in scientific research, Am Econ Rev, 111, 3, pp. 871-898, (2021)
  • [2] Arshad M., Yu C.K., Qadir A., Rafique M., The influence of climate change, green innovation, and aspects of green dynamic capabilities as an approach to achieving sustainable development, Environ Sci Pollut Res, pp. 1-20, (2023)
  • [3] Audretsch D.B., Belitski M., The role of R&D and knowledge spillovers in innovation and productivity, Eur Econ Rev, 123, (2020)
  • [4] Audretsch D.B., Belitski M., Knowledge collaboration, firm productivity and innovation: a critical assessment, J Bus Res, 172, (2024)
  • [5] Bai L., Guo T., Xu W., Liu Y., Kuang M., Jiang L., Effects of digital economy on carbon emission intensity in Chinese cities: a life-cycle theory and the application of non-linear spatial panel smooth transition threshold model, Energy Policy, 183, (2023)
  • [6] Boudreau K.J., Let a thousand flowers bloom? An early look at large numbers of software app developers and patterns of innovation, Organ Sci, 23, 5, pp. 1409-1427, (2012)
  • [7] Brandt L., Thun E., Going mobile in China: shifting value chains and upgrading in the mobile telecom sector, Int J Technol Learn Innov Develop, 4, 1-3, pp. 148-180, (2011)
  • [8] Bukht R., Heeks R., Defining, conceptualizing and measuring the digital economy, Int Organ Res J, 13, 2, pp. 143-172, (2018)
  • [9] Cai J., Li N., Santacreu A.M., Knowledge diffusion, trade, and innovation across countries and sectors, Am Econ J Macroecon, 14, 1, pp. 104-145, (2022)
  • [10] Cao S., Nie L., Sun H., Sun W., Taghizadeh-Hesary F., Digital finance, green technological innovation and energy-environmental performance: evidence from China’s regional economies, J Clean Prod, 327, (2021)
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