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Digital Economy Development and Green Innovation Efficiency from a Two-Stage Innovation Value Chain Perspective

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  • Danxue Fan

    (School of Statistics and Data Science, Lanzhou University of Finance and Economics, Lanzhou 730020, China)

  • Meiyue Li

    (School of International Economics and Trade, Lanzhou University of Finance and Economics, Lanzhou 730020, China)

Abstract

Resolving the conflict between economic growth and ecological sustainability is crucial when transitioning from traditional economic development towards a sustainable green model. In this context, the super-NSBM model was applied to measure the efficiency of green innovation technology research and development. Additionally, it was applied to measure the efficiency of the green innovation achievement transformation among 30 Chinese provinces. This evaluation was conducted for the period from 2011 to 2021, and it utilized a two-stage innovation value chain perspective. The entropy method was used to comprehensively calculate the digital economy development index, and the impact of digital economy development on the two-stage green innovation effect was empirically explored using SDM. The findings revealed the following: Firstly, both two-stage green innovation efficiency and digital economy development exhibited significant spatial characteristics. Secondly, digital economy development had a positive effect on two-stage green innovation efficiency not only in the local region but also in neighboring regions. This conclusion remained valid throughout a series of robustness tests. Thirdly, in terms of regional heterogeneity, the eastern region and non-resource-based regions had greater digital economy development dividends than the central, western, and resource-based regions; therefore, the effect on two-stage green innovation efficiency was more significant. Lastly, both intellectual property protection and data factor endowment exerted positive moderating effects on the influence of the digital economy on two-stage green innovation efficiency. The conclusions of this research provide a theoretical backing for and empirical proof of the mechanism of digital economy development and its impact on two-stage green innovation efficiency. Policy implications are suggested based on these findings, such as reinforcing digitalization, establishing targeted policies, and fostering a favorable external environment conducive to technological innovation.

Suggested Citation

  • Danxue Fan & Meiyue Li, 2024. "Digital Economy Development and Green Innovation Efficiency from a Two-Stage Innovation Value Chain Perspective," Sustainability, MDPI, vol. 16(11), pages 1-20, May.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:11:p:4421-:d:1400333
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    1. Yaozhi Xu & Liling Xu, 2023. "The Convergence between Digital Industrialization and Industrial Digitalization and Export Technology Complexity: Evidence from China," Sustainability, MDPI, vol. 15(11), pages 1-18, June.
    2. Du, Kerui & Cheng, Yuanyuan & Yao, Xin, 2021. "Environmental regulation, green technology innovation, and industrial structure upgrading: The road to the green transformation of Chinese cities," Energy Economics, Elsevier, vol. 98(C).
    3. Xuejun Jin & Xiao Pan, 2023. "Government Attention, Market Competition and Firm Digital Transformation," Sustainability, MDPI, vol. 15(11), pages 1-27, June.
    4. Senhua Huang & Lingming Chen, 2023. "The Impact of the Digital Economy on the Urban Total-Factor Energy Efficiency: Evidence from 275 Cities in China," Sustainability, MDPI, vol. 15(4), pages 1-20, February.
    5. Jianfeng Guo & Kai Zhang & Kecheng Liu, 2022. "Exploring the Mechanism of the Impact of Green Finance and Digital Economy on China’s Green Total Factor Productivity," IJERPH, MDPI, vol. 19(23), pages 1-18, December.
    6. Yang, Haochang & Li, Lianshui & Liu, Yaobin, 2022. "The effect of manufacturing intelligence on green innovation performance in China," Technological Forecasting and Social Change, Elsevier, vol. 178(C).
    7. Simon J. Evenett & Wolfgang Keller, 2002. "On Theories Explaining the Success of the Gravity Equation," Journal of Political Economy, University of Chicago Press, vol. 110(2), pages 281-316, April.
    8. Jinlin Li & Litai Chen & Ying Chen & Jiawen He, 2022. "Digital economy, technological innovation, and green economic efficiency—Empirical evidence from 277 cities in China," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(3), pages 616-629, April.
    9. Wen Chen & Ying Wu, 2022. "Does intellectual property protection stimulate digital economy development?," Journal of Applied Economics, Taylor & Francis Journals, vol. 25(1), pages 723-730, December.
    10. Xue, Yan & Tang, Chang & Wu, Haitao & Liu, Jianmin & Hao, Yu, 2022. "The emerging driving force of energy consumption in China: Does digital economy development matter?," Energy Policy, Elsevier, vol. 165(C).
    11. Cheng, Yiran & Zhou, Xiaorui & Li, Yongjian, 2023. "The effect of digital transformation on real economy enterprises’ total factor productivity," International Review of Economics & Finance, Elsevier, vol. 85(C), pages 488-501.
    12. Jianhuan Huang & Juanjuan Chen & Zhujia Yin, 2014. "A Network DEA Model with Super Efficiency and Undesirable Outputs: An Application to Bank Efficiency in China," Mathematical Problems in Engineering, Hindawi, vol. 2014, pages 1-14, April.
    13. Gerardo Quinones & Richard Heeks & Brian Nicholson, 2021. "Embeddedness of digital start-ups in development contexts: field experience from Latin America," Information Technology for Development, Taylor & Francis Journals, vol. 27(2), pages 171-190, April.
    14. Du, Juan & Liang, Liang & Zhu, Joe, 2010. "A slacks-based measure of super-efficiency in data envelopment analysis: A comment," European Journal of Operational Research, Elsevier, vol. 204(3), pages 694-697, August.
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