IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i12p5161-d1416689.html
   My bibliography  Save this article

Digital Economy, Regional Cooperative Innovation and Green Innovation Efficiency: Game Model and Empirical Evidence Based on Regions in China

Author

Listed:
  • Hongdan Xu

    (School of Economics and Management, Yanshan University, Qinhuangdao 066004, China)

  • Jiuhe Wang

    (School of Economics and Management, Yanshan University, Qinhuangdao 066004, China)

Abstract

Using the differential game model, this study examines the impact of the digital economy and regional cooperative innovation on green innovation efficiency. Additionally, based on the two-stage Super-NSBM model, this study evaluates the effects of the digital economy on green innovation efficiency, its spatial spillover effects, and the moderating role of regional cooperative innovation. The findings of the study indicate that (1) the digital economy significantly enhances green innovation efficiency but has negative spatial spillover effects on surrounding regions. (2) Regional cooperative innovation positively moderates the promotional effect of the digital economy on green innovation efficiency. Moreover, the moderating effect exhibits a single-threshold effect. (3) The influence of the digital economy on green innovation efficiency is more significant in regions with advanced industrialization, robust transportation infrastructure, and high R&D intensity. The coordinated development of digital industrialization and governance is crucial for effectively promoting the development of green innovation.

Suggested Citation

  • Hongdan Xu & Jiuhe Wang, 2024. "Digital Economy, Regional Cooperative Innovation and Green Innovation Efficiency: Game Model and Empirical Evidence Based on Regions in China," Sustainability, MDPI, vol. 16(12), pages 1-18, June.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:12:p:5161-:d:1416689
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/12/5161/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/16/12/5161/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. He, Haonan & Li, Shiqiang & Wang, Shanyong & Zhang, Chaojia & Ma, Fei, 2023. "Value of dual-credit policy: Evidence from green technology innovation efficiency," Transport Policy, Elsevier, vol. 139(C), pages 182-198.
    2. Song, Yanwu & Zhang, Jinrui & Song, Yingkang & Fan, Xinran & Zhu, Yuqing & Zhang, Chen, 2020. "Can industry-university-research collaborative innovation efficiency reduce carbon emissions?," Technological Forecasting and Social Change, Elsevier, vol. 157(C).
    3. Luo, Yusen & Lu, Zhengnan & Wu, Chao, 2023. "Can internet development accelerate the green innovation efficiency convergence: Evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
    4. Ren, Siyu & Hao, Yu & Xu, Lu & Wu, Haitao & Ba, Ning, 2021. "Digitalization and energy: How does internet development affect China's energy consumption?," Energy Economics, Elsevier, vol. 98(C).
    5. 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).
    6. Hanhua Shao & Jixin Cheng & Yuansheng Wang & Xiaoming Li, 2022. "Can Digital Finance Promote Comprehensive Carbon Emission Performance? Evidence from Chinese Cities," IJERPH, MDPI, vol. 19(16), pages 1-18, August.
    7. Yuan, Huaxi & Feng, Yidai & Lee, Chien-Chiang & Cen, Yan, 2020. "How does manufacturing agglomeration affect green economic efficiency?," Energy Economics, Elsevier, vol. 92(C).
    8. Ma, Dan & Zhu, Qing, 2022. "Innovation in emerging economies: Research on the digital economy driving high-quality green development," Journal of Business Research, Elsevier, vol. 145(C), pages 801-813.
    9. Huang, Hongyun & Wang, Fengrong & Song, Malin & Balezentis, Tomas & Streimikiene, Dalia, 2021. "Green innovations for sustainable development of China: Analysis based on the nested spatial panel models," Technology in Society, Elsevier, vol. 65(C).
    10. Tone, Kaoru, 2001. "A slacks-based measure of efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 130(3), pages 498-509, May.
    11. Lange, Steffen & Pohl, Johanna & Santarius, Tilman, 2020. "Digitalization and energy consumption. Does ICT reduce energy demand?," Ecological Economics, Elsevier, vol. 176(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. Xu, Ru-Yu & Wang, Ke-Liang & Miao, Zhuang, 2024. "Exploring the impact of digital industry agglomeration on provincial energy efficiency in China: A panel data analysis from 2012 to 2020," Energy, Elsevier, vol. 313(C).
    2. Mingyue Chen & Shuting Wang & Xiaowen Wang, 2024. "How Does Artificial Intelligence Impact Green Development? Evidence from China," Sustainability, MDPI, vol. 16(3), pages 1-23, February.
    3. Yi, Jiahui & Dai, Sheng & Li, Lin & Cheng, Jinhua, 2024. "How does digital economy development affect renewable energy innovation?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 192(C).
    4. 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.
    5. Shunbin Zhong & Huafu Shen & Ziheng Niu & Yang Yu & Lin Pan & Yaojun Fan & Atif Jahanger, 2022. "Moving towards Environmental Sustainability: Can Digital Economy Reduce Environmental Degradation in China?," IJERPH, MDPI, vol. 19(23), pages 1-23, November.
    6. Xiujin Guo & Zhengming Wang, 2024. "How does the digital economy affect the green development of China’s industry?," PLOS ONE, Public Library of Science, vol. 19(9), pages 1-21, September.
    7. Qiaozhe Guo & Chengxuan Geng & Nengzhi Yao & Lexin Zhao, 2024. "Can digital infrastructure enhance economic efficiency? Evidence from China," Quality & Quantity: International Journal of Methodology, Springer, vol. 58(2), pages 1729-1752, April.
    8. Songqin Zhao & Diyun Peng & Huwei Wen & Huilin Song, 2022. "Does the Digital Economy Promote Upgrading the Industrial Structure of Chinese Cities?," Sustainability, MDPI, vol. 14(16), pages 1-19, August.
    9. Bai, Ling & Guo, Tianran & Xu, Wei & Liu, Yaobin & Kuang, Ming & Jiang, Lei, 2023. "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, Elsevier, vol. 183(C).
    10. Kun Liu & Xuemin Liu & Zihao Wu, 2024. "Nexus between Corporate Digital Transformation and Green Technological Innovation Performance: The Mediating Role of Optimizing Resource Allocation," Sustainability, MDPI, vol. 16(3), pages 1-21, February.
    11. Wang, Xiaoqing & Qin, Chuan & Liu, Yufeng & Tanasescu, Cristina & Bao, Jiangnan, 2023. "Emerging enablers of green low-carbon development: Do digital economy and open innovation matter?," Energy Economics, Elsevier, vol. 127(PA).
    12. Wei Jiang & Ke-Liang Wang & Zhuang Miao, 2024. "How does internet development affect urban eco-resilience: evidence from China," Economic Change and Restructuring, Springer, vol. 57(2), pages 1-40, April.
    13. Yu, Hongyang & Wang, Jinchao & Xu, Jiajun, 2023. "Assessing the role of digital economy agglomeration in energy conservation and emission reduction: Evidence from China," Energy, Elsevier, vol. 284(C).
    14. Tang, Chang & Xue, Yan & Wu, Haitao & Irfan, Muhammad & Hao, Yu, 2022. "How does telecommunications infrastructure affect eco-efficiency? Evidence from a quasi-natural experiment in China," Technology in Society, Elsevier, vol. 69(C).
    15. Hongyang Yu & Jinchao Wang & Jiajun Xu & Binghao Ding, 2025. "Does digital economy agglomeration promote green economy efficiency? A spatial spillover and spatial heterogeneity perspective," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 27(3), pages 7379-7406, March.
    16. 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).
    17. Zhao, Ziyi & Zhao, Yuhuan & Shi, Xunpeng & Zheng, Lu & Fan, Shunan & Zuo, Sumin, 2024. "Green innovation and carbon emission performance: The role of digital economy," Energy Policy, Elsevier, vol. 195(C).
    18. Luo, Yusen & Lu, Zhengnan & Wu, Chao, 2023. "Can internet development accelerate the green innovation efficiency convergence: Evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
    19. Tang, Maogang & Liu, Yinlin & Hu, Fengxia & Wu, Baijun, 2023. "Effect of digital transformation on enterprises' green innovation: Empirical evidence from listed companies in China," Energy Economics, Elsevier, vol. 128(C).
    20. Zhu, Qing & Ma, Dan & He, Xin, 2023. "Digital transformation and firms' pollution emissions," Technological Forecasting and Social Change, Elsevier, vol. 197(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:12:p:5161-:d:1416689. 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.