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EVOLUTION AND INFLUENCING FACTORS OF ECOLOGICAL EFFICIENCY SPATIAL NETWORK IN THE YANGTZE RIVER DELTA REGION

WANG Meng,ZHANG Xinlin   

  1. (College of Geographic Surveying and Urban Rural Planning, Jiangsu Normal University, Xuzhou  221116, China)

  • Received:2024-06-07 Revised:2024-07-22 Accepted:2024-09-23

长三角地区生态效率空间网络演化及其影响因素

王梦,张新林   

  1. (江苏师范大学 地理测绘与城乡规划学院,江苏 徐州 221116

Abstract: Clarifying the spatial correlation and network structure characteristics of ecological efficiency is the foundation for the integrated development of ecological green in the Yangtze River Delta region. Using 41 cities in the Yangtze River Delta region as the research area, the Super-EBM model was used to measure the ecological efficiency of each city from 2010 to 2021 and conduct spatiotemporal evolution analysis. Secondly, a modified gravity model is used to measure the strength of connections between cities, and social network analysis is used to analyze the spatial network structure characteristics of ecological efficiency in the Yangtze River Delta from a holistic and individual perspective. Finally, the QAP regression method is used to identify the influencing factors of ecological efficiency spatial correlation networks. The results indicate that: (1) the overall ecological efficiency of the Yangtze River Delta region continues to improve, and there is a significant spatial imbalance, with the eastern region showing an imbalance compared to the western region and the northern region showing an imbalance compared to the southern region. (2) During the research period, the spatial connection network of ecological efficiency in the Yangtze River Delta region transitioned from non equilibrium to equilibrium, forming a spatial connection network pattern centered around the southern Jiangsu region. (3) The ecological efficiency within the region is closely related and the network structure is relatively stable, but there is still room for improvement in the overall connection. The southern region of Jiangsu is the core of the correlation network and the beneficiary of the network, forming a "siphon effect" on other regions. The regions of northern Jiangsu, northern Anhui, and southwestern Zhejiang are the overflow subjects in the spatial correlation network and the marginal actors in the spatial correlation network. (4) The proximity of geographical space and the differences in economic development level, urbanization level and scientific and technological innovation are important influencing factors for the spatial correlation structure of ecological efficiency in the Yangtze River Delta region.

Key words: Yangtze River Delta region, Ecological efficiency, Spatial network structure, Influencing factors, Social network analysis, Gravitational model

摘要: 明晰生态效率空间关联及网络结构特征是长三角地区生态绿色一体化发展的基础。以长三角地区41个市为研究区域,运用Super-EBM模型对2010—2021年各市生态效率进行测度并作时空演化分析。其次利用修正引力模型,测度城市间生态效率的联系强度,借助社会网络分析法从整体与个体角度剖析长三角地区生态效率的空间网络结构特征。最后利用QAP方法识别生态效率空间关联网络的影响因素。结果表明:(1)长三角地区生态效率整体上升,并具有显著的空间非均衡性。(2)研究期内长三角地区生态效率的空间关联强度显著提高,且空间联系网络形态由非均衡性向均衡性过渡,形成了以苏南地区为核心的空间关联网络格局。(3)区域内生态效率联系密切并存在显著的空间溢出效应,网络结构相对稳固,且等级结构不断弱化,但整体联系仍有上升空间。苏南地区是关联网络中的核心,且是关联网络中的受益主体,对其他地区形成“虹吸效应”。而苏北、皖北和浙西南地区是空间关联网络中的溢出主体,是空间关联网络中的边缘行动者。(4)地理空间临近以及经济发展水平、城镇化水平、科技创新的差异是长三角地区生态效率空间关联结构的重要影响因素。

关键词: 长三角地区, 生态效率, 空间网络结构, 影响因素, 社会网络分析, 引力模型