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Spatial correlation network structure of green innovation efficiency and its driving factors in the Bohai Rim region

Author

Listed:
  • Kaixuan Di

    (Shandong Normal University)

  • Zuankuo Liu

    (Shandong Normal University)

  • Shanglei Chai

    (Shandong Normal University)

  • Kanyong Li

    (Shandong Jiaotong University)

  • Yu Li

    (Shandong Normal University)

Abstract

As the integration point of green development and innovation-driven, green innovation has become the key to promote high-quality and sustainable development in the Bohai Rim region. This study calculates the green innovation efficiency (GIE) of 43 cities in the Bohai Rim region based on the super slacks-based measure (super-SBM) model, further using the social network analysis and quadratic assignment procedure analysis methods to explore the GIE spatial correlation network structure and its driving factors. The findings show that (1) the GIE between cities in the Bohai Rim region exhibits complex and stable network characteristics; (2) Beijing and Tianjin exert an important influence on the green innovation development of other cities; (3) each city is divided into four functional blocks, with strong spatial spillover effects between the blocks; and (4) the closer the geographical distance is, the more similar the environmental regulations are, and the easier it is for spatial associations to occur. The differences in the level of urban economic development, openness, human capital, and infrastructure are conducive to promoting the establishment of spatial associations. Finally, based on the conclusions, the study provides a theoretical basis and policy recommendations for improving the quality and efficiency of green innovation and collaborative development in the Bohai Rim region.

Suggested Citation

  • Kaixuan Di & Zuankuo Liu & Shanglei Chai & Kanyong Li & Yu Li, 2024. "Spatial correlation network structure of green innovation efficiency and its driving factors in the Bohai Rim region," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(11), pages 27227-27247, November.
    • Handle: RePEc:spr:endesu:v:26:y:2024:i:11:d:10.1007_s10668-023-03757-1
    DOI: 10.1007/s10668-023-03757-1
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    References listed on IDEAS

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    1. Zeng, Juying & Škare, Marinko & Lafont, Juan, 2021. "The co-integration identification of green innovation efficiency in Yangtze River Delta region," Journal of Business Research, Elsevier, vol. 134(C), pages 252-262.
    2. Piao, Zhefan & Miao, Binbin & Zheng, Zihan & Xu, Feng, 2022. "Technological innovation efficiency and its impact factors: An investigation of China's listed energy companies," Energy Economics, Elsevier, vol. 112(C).
    3. Long, Xingle & Zhao, Xicang & Cheng, Faxin, 2015. "The comparison analysis of total factor productivity and eco-efficiency in China's cement manufactures," Energy Policy, Elsevier, vol. 81(C), pages 61-66.
    4. Biao Hu & Kai Yuan & Tingyun Niu & Liang Zhang & Yuqiong Guan, 2022. "Study on the Spatial and Temporal Evolution Patterns of Green Innovation Efficiency and Driving Factors in Three Major Urban Agglomerations in China—Based on the Perspective of Economic Geography," Sustainability, MDPI, vol. 14(15), pages 1-28, July.
    5. Wang, Jiating & Cai, Siyuan, 2020. "The construction of high-speed railway and urban innovation capacity: Based on the perspective of knowledge Spillover," China Economic Review, Elsevier, vol. 63(C).
    6. Liu, Gengyuan & Yang, Zhifeng & Fath, Brian D. & Shi, Lei & Ulgiati, Sergio, 2017. "Time and space model of urban pollution migration: Economy-energy-environment nexus network," Applied Energy, Elsevier, vol. 186(P2), pages 96-114.
    7. Edziah, Bless Kofi & Sun, Huaping & Adom, Philip Kofi & Wang, Feng & Agyemang, Andrew Osei, 2022. "The role of exogenous technological factors and renewable energy in carbon dioxide emission reduction in Sub-Saharan Africa," Renewable Energy, Elsevier, vol. 196(C), pages 1418-1428.
    8. Liu, S. & Xiao, Q., 2021. "An empirical analysis on spatial correlation investigation of industrial carbon emissions using SNA-ICE model," Energy, Elsevier, vol. 224(C).
    9. Liu, Fengqin & Sim, Jae-yeon & Sun, Huaping & Edziah, Bless Kofi & Adom, Philip Kofi & Song, Shunfeng, 2023. "Assessing the role of economic globalization on energy efficiency: Evidence from a global perspective," China Economic Review, Elsevier, vol. 77(C).
    10. Luo, Yusen & Lu, Zhengnan & Long, Xingle, 2020. "Heterogeneous effects of endogenous and foreign innovation on CO2 emissions stochastic convergence across China," Energy Economics, Elsevier, vol. 91(C).
    11. Liang, Zhiying & Chen, Jian & Jiang, Dayang & Sun, Yunpeng, 2022. "Assessment of the spatial association network of green innovation: Role of energy resources in green recovery," Resources Policy, Elsevier, vol. 79(C).
    12. Jiang, Yufan & Wang, Hongyan & Liu, Zuankuo, 2021. "The impact of the free trade zone on green total factor productivity ——evidence from the shanghai pilot free trade zone," Energy Policy, Elsevier, vol. 148(PB).
    13. Lu Wang & Wenzhong Ye & Lingming Chen, 2021. "Research on Green Innovation of the Great Changsha-Zhuzhou-Xiangtan City Group Based on Network," Land, MDPI, vol. 10(11), pages 1-15, November.
    14. Sun, Huaping & Edziah, Bless Kofi & Sun, Chuanwang & Kporsu, Anthony Kwaku, 2019. "Institutional quality, green innovation and energy efficiency," Energy Policy, Elsevier, vol. 135(C).
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