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Assessment of the spatial association network of green innovation: Role of energy resources in green recovery

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  • Liang, Zhiying
  • Chen, Jian
  • Jiang, Dayang
  • Sun, Yunpeng

Abstract

Green innovation is one of the latest topics of sustainable development, which has unknown dimensions that can be explored. The main purpose of this paper is to study the green innovation network among 144 countries through the Slacks-based measure of directional distance functions approach for annual data throughout 2017–2021. In addition, the Quadratic Assignment Procedures (QAP) analysis is used to determine the impacts of influencing factors on the green innovation efficiency of the examined sample of countries. The major findings revealed that the global green innovation network is centered in North America, Western Europe, East Asia, and Oceania. The results of the QAP technique confirmed that geographical proximity, good governance, consumption of fossil fuels in transportation, environmental regulation index, energy resources price system, the difference in Gross Domestic Product (GDP) per capita, and pandemic affect the formation of the spatial relationship network of green innovation efficiency. This paper recommends the most important practical implications of increasing the share of development and research in the green energy sector, improving green loans, promoting green financing tools, and prioritizing the digital economy.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:jrpoli:v:79:y:2022:i:c:s0301420722005153
    DOI: 10.1016/j.resourpol.2022.103072
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    Cited by:

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    2. Qingzhi Sun & Guanyi Yin & Wei Wei & Zhan Zhang & Guanghao Li & Shenghao Zhu, 2024. "Social Network Analysis of Farmers after the Private Cooperatives’ “Intervention” in a Rural Area of China—A Case Study of the XiangX Cooperative in Shandong Province," Agriculture, MDPI, vol. 14(5), pages 1-22, April.
    3. Eleftherios Spyromitros, 2023. "Determinants of Green Innovation: The Role of Monetary Policy and Central Bank Characteristics," Sustainability, MDPI, vol. 15(10), pages 1-23, May.
    4. Li, Jiaman & Dong, Kangyin & Wang, Kun & Dong, Xiucheng, 2023. "How does natural resource dependence influence carbon emissions? The role of environmental regulation," Resources Policy, Elsevier, vol. 80(C).
    5. 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.
    6. Sun, Yunpeng & Gao, Pengpeng & Tian, Wenjuan & Guan, Weimin, 2023. "Green innovation for resource efficiency and sustainability: Empirical analysis and policy," Resources Policy, Elsevier, vol. 81(C).
    7. Eghbali, Mohammad-Ali & Rasti-Barzoki, Morteza & Altmann, Jörn, 2024. "An evolutionary game-theoretic approach to analysis the green innovation chain dynamics under government policies," Technology in Society, Elsevier, vol. 77(C).
    8. Lee, Chien-Chiang & Zhou, Hegang & Xu, Chao & Zhang, Xiaoming, 2023. "Dynamic spillover effects among international crude oil markets from the time-frequency perspective," Resources Policy, Elsevier, vol. 80(C).
    9. Jiayi Li & Shujun Ye & Shujuan Wang, 2023. "Spatial Network Analysis on the Coupling Coordination of Digital Finance and Technological Innovation," Sustainability, MDPI, vol. 15(8), pages 1-22, April.

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