长江流域资源与环境 >> 2024, Vol. 33 >> Issue (3): 461-471.doi: 10.11870/cjlyzyyhj202403001

• 区域可持续发展 •    下一篇

长三角城市绿色创新效率时空演变与绿色创新网络驱动效应

吴启余1,2,曾刚1,2,杨阳3,陈鹏鑫1,2   

  1. (1.华东师范大学地理科学学院,上海 200062;2.华东师范大学中国现代城市研究中心,上海 200062;3.河南大学地理与环境学院,河南 开封 475004)

  • 出版日期:2024-03-20 发布日期:2024-04-03

Spatiotemporal Evolution of Green Innovation Efficiency in  Cities of the Yangtze River Delta and the Driving Effect of Green Innovation Network

WU Qi-yu 1,2,ZENG Gang 1,2,YANG Yang3,CHEN Peng-xin 1,2   

  1. (1. School of Urban and Regional Science, East China Normal University, Shanghai 200062, China;2. The Center for Modern Chinese City Studies, East China Normal University, Shanghai 200062, China; 3.School of Geography and Environment Henan University, Kaifeng 475004,China)
  • Online:2024-03-20 Published:2024-04-03

摘要: 提升城市绿色创新效率是长三角地区走向更高质量一体化和实现“双碳目标”的关键举措。绿色创新效率的空间格局及驱动机制受到经济地理学者的关注,然而目前关于驱动机制的研究较少考虑绿色创新网络的推动作用。构建创新网络对区域绿色创新效率影响的分析框架,使用基于超效率SBM模型的窗口DEA分析法测算了2007~2017年长三角各城市的绿色创新效率,刻画其时空格局进而探讨城市绿色创新网络地位对其绿色创新效率的影响。研究发现:(1)长三角城市绿色创新效率在时间序列上呈现波动上升态势;(2)长三角城市绿色创新效率空间格局经历了2007年“东南高,西北低”向2012年“东高西低”再到2017年“东北高,西北低”的演变,且与其绿色创新网络度中心性存在正相关关系;(3)总体上城市在绿色创新网络中地位的提升可以提升城市的绿色创新效率,但是回归系数较小,长三角地区绿色创新网络有待进一步完善。

Abstract: Improving the efficiency of urban green innovation is a key measure for the Yangtze River Delta region to move towards higher quality integration and achieve the "carbon peaking and carbon neutrality goals". The spatial pattern and driving mechanism of green innovation efficiency have attracted the attention of economic geography scholars. However, current research on this topic rarely considered the driving role of green innovation network. This paper constructed an analytical framework for the impact of innovation network on regional green innovation, and calculated the green innovation efficiency of various cities in the Yangtze River Delta from 2007 to 2017 using the window DEA analysis method based on the super efficiency SBM model. This work also depicted their spatial and temporal patterns, and discussed the impact of urban green innovation network status on their green innovation efficiency. The research found that: (1)The green innovation efficiency of cities in the Yangtze River Delta showed a fluctuating upward trend in the time series. (2)The spatial pattern of green innovation efficiency in the cities of the Yangtze River Delta had undergone an evolution from "high in the southeast and low in the northwest" in 2007 to "high in the east and low in the west" in 2012, and then to "high in the northeast and low in the northwest" in 2017. There was a positive correlation with the centrality of the green innovation network. (3)Overall, the improvement of the status of cities in the green innovation network improved the efficiency of green innovation in cities, but the regression coefficient was small. The green innovation network in the Yangtze River Delta region still needs further improvement.

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