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      Research on the coupling mechanism and influencing factors of digital economy and green technology innovation in Chinese urban agglomerations

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          Abstract

          This paper examines the coupling coordination degree between digital economy and green technology innovation in 19 urban agglomerations across China from 2011 to 2020. Through the analysis of the coupling coordination degree model, spatial autocorrelation, multi-distance spatial clustering analysis, kernel density analysis and grey correlation model, this study uncovers the mechanism of coupling between digital economy and green technology in Chinese urban agglomerations. Data analysis revealed a significant increase in the coupling coordination between the digital economy and green technology innovation within urban agglomerations. However, there are noticeable spatial imbalances in this trend. Additionally, the multi-distance spatial distance analysis highlights a shift from a random distribution to a clustered distribution of spatial characteristics. The polarization features vary among each urban agglomeration and exhibit a significant positive spatial correlation. Factors such as economic sustainability, creative talent, policy support, digital impetus, and technological support will affect the coupling mechanism of green technology innovation and the digital economy in China's urban agglomerations. Policy recommendations are proposed to foster the development of the digital economy, promote coordinated growth within and beyond urban clusters, and ultimately build a digital ecological civilization that is both green and intelligent.

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          Digital Economics

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            Energy structure, digital economy, and carbon emissions: evidence from China

            As a new production factor, digitalization plays a vital role in society, economy, and the environment. Based on the expanded STIRPAT model, this paper empirically tests the impact of energy structure and digital economy on carbon emissions by panel data from 2011 to 2017 in 30 provinces of China. The results show that the energy structure mainly based on coal has a significant driving effect on carbon emissions. Compared with non-resource-based provinces, the increase of energy structure dominated by coal has a greater effect on carbon emission in resource-based provinces. It is worth noting that this kind of influence has a greater impact on the central region of China, followed by the western region and the eastern region. Besides, the digital economy has a significant moderating effect. With the development of digital economy, the impact of coal-based energy structure on carbon emissions is gradually decreasing. This effect is more significant in non-resource-based provinces and eastern China, but not significant in resource-based cities and central and western China.
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              Digital finance, green technological innovation and energy-environmental performance: Evidence from China's regional economies

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                Author and article information

                Contributors
                554057442@qq.com
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                2 March 2024
                2 March 2024
                2024
                : 14
                : 5150
                Affiliations
                [1 ]School of Economics and Management, Guangxi Normal University, ( https://ror.org/02frt9q65) Guilin, 541000 Guangxi China
                [2 ]Pearl River-Xijiang River Economic Belt Development Institute, Guangxi Normal University, ( https://ror.org/02frt9q65) Guangxi, 541004 Guilin China
                [3 ]Business School, Guilin Tourism University, Guilin, 541006 Guangxi China
                Article
                55854
                10.1038/s41598-024-55854-4
                10908852
                38431732
                c6f3acca-40ca-49ac-b319-e69e5a9c9723
                © 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
                : 14 November 2023
                : 28 February 2024
                Funding
                Funded by: National Social Science Foundation of China
                Award ID: Grant No.:20&ZD157
                Funded by: The Guangxi Key Laboratory of Landscape Resources Conservation and Sustainable Utilizationin Lijiang River Basin,Guangxi Normal University
                Award ID: Grant No.:LRCSU21Z0319
                Funded by: Graduate Innovation Project of School of Economics and Management, Guangxi Normal University
                Award ID: Grant No.: JG2023010
                Categories
                Article
                Custom metadata
                © Springer Nature Limited 2024

                Uncategorized
                digital economy,green technology innovation,coupling coordination,urban agglomeration,socioeconomic scenarios,sustainability

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