IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i11p4421-d1400333.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/11/4421/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/16/11/4421/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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. 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.
    4. Xuejun Jin & Xiao Pan, 2023. "Government Attention, Market Competition and Firm Digital Transformation," Sustainability, MDPI, vol. 15(11), pages 1-27, June.
    5. 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.
    6. 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.
    7. 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.
    8. 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).
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. 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).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Chunshan Zhou & Xiaoli Wei & Xiangjun Dai & Guojun Zhang, 2025. "Research on the Spatio-Temporal Evolution and Impact of China’s Digital Economy and Green Innovation," Land, MDPI, vol. 14(3), pages 1-26, March.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zhuoxi Yu & Shan Liu & Zhichuan Zhu & Lianyan Fu, 2023. "Spatial Imbalance, Dynamic Evolution and Convergence of the Digital Economy: Analysis Based on Panel Data of 278 Cities in China," Sustainability, MDPI, vol. 15(9), pages 1-26, April.
    2. Haiyang Qiu & Xin Li & Long Zhang, 2023. "Influential Effect and Mechanism of Digital Finance on Urban Land Use Efficiency in China," Sustainability, MDPI, vol. 15(20), pages 1-21, October.
    3. Lyu, Yanwei & Zhang, Jinning & Wang, Wenqiang & Li, Yutao & Geng, Yong, 2024. "Toward low carbon development through digital economy: A new perspective of factor market distortion," Technological Forecasting and Social Change, Elsevier, vol. 208(C).
    4. Ai, Mingye & Zhang, Wei & Du, Shurong & Yu, Xiaohan & Bu, Yan, 2024. "The impact of digitalization on the green transformation of China's industrial sectors: The mediating role of green technology innovation and technological transformation," International Review of Economics & Finance, Elsevier, vol. 96(PC).
    5. Xu, Ru-Yu & Wang, Ke-Liang & Miao, Zhuang, 2024. "The impact of digital technology innovation on green total-factor energy efficiency in China: Does economic development matter?," Energy Policy, Elsevier, vol. 194(C).
    6. Ding, Jiantao & Yin, Yingkai & Kuang, Jinsong & Ding, Dezhi & Madsen, Dag.Øivind & Yang, Kunyu, 2024. "The impact of enterprise digital transformation on financial mismatch: Empirical evidence from listed companies in China," Finance Research Letters, Elsevier, vol. 66(C).
    7. Xiaodong Yang & Yang Xu & Asif Razzaq & Desheng Wu & Jianhong Cao & Qiying Ran, 2024. "Roadmap to achieving sustainable development: Does digital economy matter in industrial green transformation?," Sustainable Development, John Wiley & Sons, Ltd., vol. 32(3), pages 2583-2599, June.
    8. Lee, Chien-Chiang & Qin, Shuai & Li, Yaya, 2022. "Does industrial robot application promote green technology innovation in the manufacturing industry?," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    9. Wen Chen & Changyi Zhu & Qi Cheung & Siying Wu & Jun Zhang & Jia Cao, 2024. "How does digitization enable green innovation? Evidence from Chinese listed companies," Business Strategy and the Environment, Wiley Blackwell, vol. 33(5), pages 3832-3854, July.
    10. Zhang, Haonan & Yu, Guanchen, 2024. "Reducing costs or increasing efficiency? Unveiling the effects and mechanisms of the digital economy on sustained green innovation," International Review of Economics & Finance, Elsevier, vol. 96(PB).
    11. Wang, Ke-Liang & Sun, Ting-Ting & Xu, Ru-Yu & Miao, Zhuang & Cheng, Yun-He, 2022. "How does internet development promote urban green innovation efficiency? Evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    12. Ge, Shilong & Luo, Xiaodan & Li, Yuangang & Zheng, Lanxing, 2024. "The impact of green credit policy on total factor productivity of enterprises," International Review of Economics & Finance, Elsevier, vol. 95(C).
    13. Song, Yang & Pang, Xiaoqian & Zhang, Zhiyuan & Sahut, Jean-Michel, 2024. "Can the new energy demonstration city policy promote corporate green innovation capability?," Energy Economics, Elsevier, vol. 136(C).
    14. Wang, Ruonan & Xiao, Yi & Huang, Huan & Chang, Ming, 2024. "Exploring the complex relationship between industrial upgrading and energy eco-efficiency in river basin cities: A case study of the Yellow River Basin in China," Energy, Elsevier, vol. 312(C).
    15. Guoteng Xu & Jingtong Shan & Chengjiang Li & Xia Chen & Na Zhou, 2023. "Study on the Innovation-Driven Effect of Digital Economy on Real Economy—A Theoretical and Empirical Analysis from an R&D Perspective," Sustainability, MDPI, vol. 15(21), pages 1-18, October.
    16. Akram, Rabia & Li, Qiyuan & Srivastava, Mohit & Zheng, Yulu & Irfan, Muhammad, 2024. "Nexus between green technology innovation and climate policy uncertainty: Unleashing the role of artificial intelligence in an emerging economy," Technological Forecasting and Social Change, Elsevier, vol. 209(C).
    17. Ling, Shixian & Gao, Hongfu & Yuan, Di, 2024. "Catalytic role of the digital economy in fostering corporate green technology innovation: a mechanism for sustainability transformation in China," Economic Analysis and Policy, Elsevier, vol. 84(C), pages 278-292.
    18. Li Zhou & Shuning Zhang & Chenjing Zhou & Shuai Yuan & Hong Jiang & Yifeng Wang, 2024. "The impact of the digital economy on high-quality agricultural development——Based on the regulatory effects of financial development," PLOS ONE, Public Library of Science, vol. 19(3), pages 1-25, March.
    19. Meili Zhang & Shi Yin, 2023. "Can China’s Digital Economy and Green Economy Achieve Coordinated Development?," Sustainability, MDPI, vol. 15(7), pages 1-25, March.
    20. Lei, Peng & Li, Xiaoyan & Yuan, Mingkang, 2024. "The consequence of the digital economy on energy efficiency in Chinese provincial and regional contexts: Unleashing the potential," Energy, Elsevier, vol. 311(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:16:y:2024:i:11:p:4421-:d:1400333. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.