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      Impact of green innovation on carbon reduction in China

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          Abstract

          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.

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          Most cited references22

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          Green process innovation, green product innovation, and corporate financial performance: A content analysis method

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            Environmental regulation, green technology innovation, and industrial structure upgrading: The road to the green transformation of Chinese cities

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              Heterogeneous green innovations and carbon emission performance: Evidence at China's city level

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                Author and article information

                Contributors
                hyshan@nuist.edu.cn
                cwssm0808@outlook.com
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                18 June 2024
                18 June 2024
                2024
                : 14
                : 14032
                Affiliations
                School of Management Science and Engineering, Nanjing University of Information Science and Technology, ( https://ror.org/02y0rxk19) Nanjing, 210044 China
                Article
                64554
                10.1038/s41598-024-64554-y
                11189581
                38890482
                a1f07c8b-45d4-4628-8a9d-40bc52b036a6
                © The Author(s) 2024

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 5 May 2024
                : 10 June 2024
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                © Springer Nature Limited 2024

                Uncategorized
                green innovation,carbon emission,big data,mediating effect,environmental impact,sustainability

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