长江流域资源与环境 >> 2024, Vol. 33 >> Issue (10): 2099-2111.doi: 10.11870/cjlyzyyhj202410003

• 区域可持续发展 • 上一篇    下一篇

城市群绿色创新网络结构特征与驱动因素的比较研 ——以长三角和长江中游城市群为例

陈鹏鑫1,2,曾刚1,2,3*,胡森林1,2,3,杨阳4,葛世帅5
  

  1. (1.华东师范大学中国现代城市研究中心,上海 200062;2.华东师范大学地理科学学院,上海 200241;3.华东师范大学城市发展研究院,上海 200062;4.河南大学地理与环境学院,河南 开封 475004;5.郑州大学管理学院,河南 郑州 450001)
  • 出版日期:2024-10-20 发布日期:2024-11-07

Comparative Study on the Structure and Mechanism of Intercity Green Innovation Networks in Urban Agglomerations:#br# A Case Study of the Middle-Lower Yangtze River Urban Agglomeration 

CHEN Peng-xin1,2, ZENG Gang 1,2,3, HU Sen-lin1,2,3, YANG Yang4, GE Shi-shuai5   

  1. (1. The Center for Modern Chinese City Studies, East China Normal University, Shanghai 200062, China;2. School of Geographic Sciences, East China Normal University, Shanghai 200241, China; 3. The Institute of Urban Development, East China Normal University, Shanghai 200062, China;4. The College of Geography and Environmental Science, Henan University, Kaifeng 475004, China;5. School of Management Engineering,Zhengzhou University, Zhengzhou 450001, China)

  • Online:2024-10-20 Published:2024-11-07

摘要: 绿色发展战略背景下,构建高水平区域绿色创新网络有助于推动城市和区域高质量发展。基于2016~2020年城市间绿色发明专利联合申请数据,构建长三角和长江中游城市群绿色创新网络,借助空间网络分析和指数随机图模型,剖析长江中下游城市群绿色创新网络结构特征及其驱动因素的异同。研究发现:(1)长三角城市群绿色创新网络较为稠密,整体性和通达性强,形成了以沪宁杭为核心的多中心空间结构;长江中游城市群绿色创新网络较为稀疏,核心-边缘结构特征显著,整体性和通达性弱,呈现出以汉长为核心的双核放射状格局。(2)长三角城市群直辖市或省会城市的组织功能强而中介功能弱,相较而言长江中游城市群省会城市的组织功能弱而中介功能强。(3)两个城市群绿色创新网络均具有自组织生长特征,地理邻近、制度邻近和产业同构的影响方向相同但影响大小存在差异,“高经济发展水平城市之间更容易合作”的现象仅出现在长三角城市群。长三角和长江中游城市群绿色创新网络结构和动力机制迥异,因地制宜推动区域绿色创新一体化发展至关重要,长三角城市群应加快推动安徽城市的融入,而长江中游城市群应将突破行政壁垒作为首位任务。

Abstract: In the green development era, the construction of a high-level regional green innovation network can help to promote the high-quality development of cities and regions. Based on the co-application data of green invention patents, the intercity collaborative green innovation networks of urban agglomerations in the middle and lower Yangtze River were constructed from 2016 to 2020. This study comparatively explored the network structure characteristics and the driving forces of green innovation network of urban agglomeration in the study area through network descriptive analysis and the Exponential Random Graph Model. Results showed that: (1) the green innovation network of the Yangtze River Delta urban agglomeration was more densely developed with strong integrity and accessibility, and presented a multi-center spatial structure with Shanghai, Nanjing and Hangzhou as the core. The green innovation network of the urban agglomeration in the middle reaches of the Yangtze River was relatively sparse with significant core-edge structural characteristics, weak integrality and accessibility, and presented the dual-core radial pattern with Wuhan and Changsha as the core. (2) The municipalities or capital cities of the Yangtze River Delta urban agglomeration had stronger organizational function, but weaker intermediary function, compared with the weak organizational function and strong intermediary function of the municipalities of the urban agglomeration in the middle reaches of the Yangtze River. (3) The green innovation networks of urban agglomerations in the middle and lower Yangtze River were both characterized by self-organized growth. Geographic proximity, institutional proximity and industry similarity influenced the formation of the two networks in the same direction, but to different degrees. The phenomenon that cities at high levels of economic development were more likely to cooperate with each other only occurred in the green innovation network of the Yangtze River Delta urban agglomeration. The structure and driving forces of green innovation networks of the two urban agglomerations were quite different. It is, therefore, crucial to promote the integrated development of regional green innovation according to the local conditions. Yangtze River Delta urban agglomeration should accelerate the integration of Anhui cities. Urban agglomeration in the middle reaches of the Yangtze River should break the administrative barriers as the primary task.


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