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

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  • 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
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    References listed on IDEAS

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    1. 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).
    2. 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).
    3. 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.
    4. Yuan, Huaxi & Feng, Yidai & Lee, Chien-Chiang & Cen, Yan, 2020. "How does manufacturing agglomeration affect green economic efficiency?," Energy Economics, Elsevier, vol. 92(C).
    5. 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.
    6. 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).
    7. 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.
    8. 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).
    9. 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).
    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).
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