Features of Industrial Green Technology Innovation in the Yangtze River Economic Belt of China Based on Spatial Correlation Network

被引:0
|
作者
Yao, Mengchao [1 ]
Li, Ziqi [2 ]
Wang, Yunfei [1 ]
机构
[1] Soochow Univ, Business Sch, Suzhou 215006, Peoples R China
[2] Huzhou Univ, Sch Econ & Management, Huzhou 313000, Peoples R China
关键词
industrial-green-technology innovation; modified gravity model; social-network analysis; space-related networks; EFFICIENCY;
D O I
10.3390/su15076033
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
A generic phrase for technical and managerial innovation geared toward environmental conservation is "green-technology innovation." It is essential to attain ecologically friendly development that promotes economic progress. Promoting the combined growth of the economy, society, and environment is extremely important. The industrial-green-technology innovation efficiency of 110 cities in the Yangtze River Economic Belt is calculated using the Sup-SBM model from 2011 to 2021 while considering undesirable output. The modified gravity model is then used to convert the attribute data of industrial-green-technology innovation efficiency into relational data. The Yangtze River Economic Belt uses the social-network-analysis (SNA) approach to investigate the geographical correlation-network properties of industrial-green-technology innovation efficiency. The findings demonstrate the following: (1) There is a rising trend in the degree of industrial-green-technology innovation efficiency between different cities in the Yangtze River Economic Belt, and this pattern is known as "three plates." (2) The examination of network characteristics reveals an indigenous core-edge structure in space, with the network density of the Yangtze River Economic Belt displaying an increasing trend over the research period. (3) Individual characteristic analysis reveals that although the innovation-efficiency network tends to be flat, the degree centrality and closeness centrality of industrial-green-technology innovation efficiency in the Yangtze River Economic Belt indicate an upward trend over the research period. In addition, Chengdu in the upstream region, Wuhan in the center, and Shanghai in the downstream area serve as bridge and intermediary nodes in the spatial correlation network. (4) Block-model analysis reveals a close spatial link between blocks. A more complex and durable spatial link is now possible because of the spatial relationship of green-innovation efficiency in cities, which has shattered the boundaries imposed by traditional geographic space. The Yangtze River Economic Belt will be jointly promoted by several of the policy recommendations in this paper, aligning with that.
引用
下载
收藏
页数:21
相关论文
共 50 条
  • [21] Evaluation of industrial green development level in Yangtze River Economic Belt
    Jia P.
    Yang B.
    Wang H.
    Liu Y.
    Water Resources Protection, 2023, 39 (01) : 142 - 149
  • [22] The spatial integration and coordinated industrial development of urban agglomerations in the Yangtze River Economic Belt, China
    Liu, Yaolin
    Zhang, Xianghui
    Pan, Xingyu
    Ma, Xiuxin
    Tang, Mingyang
    CITIES, 2020, 104
  • [23] Influence from highways’ development on green technological innovation: the case of Yangtze River economic belt in China
    Xiaoli Hu
    Jieping Chen
    Shanlang Lin
    Environment, Development and Sustainability, 2023, 25 : 11095 - 11120
  • [24] Influence from highways' development on green technological innovation: the case of Yangtze River economic belt in China
    Hu, Xiaoli
    Chen, Jieping
    Lin, Shanlang
    ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY, 2023, 25 (10) : 11095 - 11120
  • [25] Does Technological Innovation Promote Green Development? A Case Study of the Yangtze River Economic Belt in China
    Hu, Senlin
    Zeng, Gang
    Cao, Xianzhong
    Yuan, Huaxi
    Chen, Bing
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2021, 18 (11)
  • [26] The spatial effects of housing prices on innovation in cities: evidence from the Yangtze river economic belt in China
    Liu, Ningning
    Liu, Jinshan
    Li, Zhanyang
    INTERNATIONAL JOURNAL OF URBAN SCIENCES, 2024, 28 (03) : 545 - 566
  • [27] Industrial green total factor productivity based on an MML index in the Yangtze River Economic Belt
    Zhong, Shen
    Wang, Lang
    Yao, Fengge
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2022, 29 (20) : 30673 - 30696
  • [28] How Do Green Finance and Green Technology Innovation Impact the Yangtze River Economic Belt's Industrial Structure Upgrading in China? A Moderated Mediation Effect Model Based on Provincial Panel Data
    Zhang, Ning
    Sun, Jinhua
    Tang, Yu
    Zhang, Jianqun
    Boamah, Valentina
    Tang, Decai
    Zhang, Xiaoxue
    SUSTAINABILITY, 2023, 15 (03)
  • [29] Industrial green total factor productivity based on an MML index in the Yangtze River Economic Belt
    Shen Zhong
    Lang Wang
    Fengge Yao
    Environmental Science and Pollution Research, 2022, 29 : 30673 - 30696
  • [30] Spatial analysis, coupling coordination, and efficiency evaluation of green innovation: A case study of the Yangtze River Economic Belt
    Tian, Ye
    Huang, Peng
    Zhao, Xu
    PLOS ONE, 2020, 15 (12):