长江三角洲地区生态效率空间关联网络演化及其影响因素

doi:10.13776/j.cnki.resourcesindustries.20250310.001

摘要/Abstract

摘要： 为了研究我国长江三角洲地区生态效率空间关联网络，本文首先基于2010—2021年长三角地区41座城市的空间面板数据，采用Super-EBM 模型测度了2010—2021年该地区各城市的生态效率值，并选取2010年、2015年、2021年3个时间节点分析了长三角地区生态效率的时空演化特征；其次利用修正的引力模型测算了长三角地区各城市生态效率的关联强度，不但剖析了该地区生态效率空间关联网络的演化特征，而且利用社会网络分析方法探究了长三角地区生态效率整体空间与个体空间关联网络的结构特征；最后本文还利用QAP回归分析研究了会影响长三角地区生态效率空间关联网络的各种因素。研究结果表明: 1）从生态效率时空演化来看，2010年长三角地区各城市的生态效率值均未达到有效状态，且在空间上呈现出了由该地区边缘城市向着内部城市递减的分布特征。2015年长三角地区大多数城市的生态效率值虽有小幅度提升但仍未达到有效状态，在空间上则呈现出了东高西低、北高南低的分布特征。2021年长三角地区城市的生态效率值得到了普遍提升，且在空间上呈现出了高生态效率值城市向着上海、南京2座城市集聚的变化态势。2）2010—2021年长三角地区生态效率的空间关联强度得到了一定提高，生态效率空间关联网络从整体上呈现出了由非均衡性向着均衡性发展的变化趋势，并形成了以苏南城市为核心的空间关联网络格局。3）2010年、2021年苏南城市的点度中心度值始终较高，而皖北、苏北、浙江西南部城市的点度中心度值始终较低。2010年、2021年苏南与苏中城市的接近中心度值相对较高，而皖北、苏北、浙江省东部城市的接近中心度数值始终较低。2010年、2021年苏南与皖南城市的中介中心度值始终较高，而长三角北部城市与南部城市的中介中心度值始终较低。4）地理空间临近、城镇化水平对长三角地区生态效率空间关联网络均发挥出了正向影响作用，而经济发展水平、科技创新水平对长三角地区空间关联网络均发挥出了负向影响作用，地方财政支出则对该地区生态效率空间关联网络没有影响作用。

关键词: 长江三角洲地区, 社会网络分析, 引力模型, 生态效率空间关联网络

Abstract: To study the spatial correlation network of ecological efficiency in the Yangtze River Delta Area, this paper, based on 2010 to 2021 spatial panel data of 41 cities in the Yangtze River Delta Area, uses Super-EBM model to measure their ecological efficiency from 2010 to 2021, and analyzes the spatiotemporal evolution characteristics of ecological efficiency in the Yangtze River Delta Area in 2010, 2015 and 2021, and applies calibrated gravity model to estimate cities' eco-efficiency correlating strength in the Yangtze River Delta Area, not only analyzes the evolution characteristics of the spatial correlation network of eco-efficiency in this area, but also explores the structural characteristics of the correlation network of the whole space and the individual space of eco-efficiency in the Yangtze River Delta Area by using social network analysis method.This paper also uses QAP regression analysis to study the factors that affect the spatial correlation network of eco-efficiency in the Yangtze River Delta Area.Temporal-spatial evolution of ecological efficiency shows that ecological efficiency value of the Yangtze River Delta Area cities did not reach the effective status in 2010 with a diminishing distribution from margin to inner geographically.It climbs a bit in most cities in 2015, but still leaving a gap to effectiveness, geographically distributing east-high-west-low, north-high-south-low.Ecological efficiency value had commonly been increased in the Yangtze River Delta Area cities in 2021, in terms of space, the cities with high ecological efficiency value are converging to Shanghai and Nanjing.From 2010 to 2021, the spatial correlation intensity of ecological efficiency in the Yangtze River Delta Area has been improved to a certain extent, and the spatial correlation network of ecological efficiency has shown a trend of change from non-equilibrium to equilibrium development on the whole, and formed a spatial correlation network pattern with cities in southern Jiangsu as the core.Degree centrality value of southern Jiangsu cities has always been high in 2010 and in 2021, but low in northern Anhui, northern Jiangsu, and southwestern Zhejiang cities.Closeness centrality value centralities of southern and central Jiangsu cities have been high in 2010 and in 2021, but low in northern Anhui, northern Jiangsu and eastern Zhejiang cities.Betweenness centrality value of southern Jiangsu and southern Anhui cities have always been high in 2010 and in 2021, but low in northern and southern Yangtze River Delta cities. Geographic proximity and urbanization positively affect the spatial correlation network of ecological efficiency in the Yangtze River Delta Area, but economic development level, technological innovation level play a negative role, and local financial expenditures have no impacts.

Key words: Yangtze River Delta Area；social network analysis, gravity model, spatial correlation network of ecological efficiency

中图分类号:

X321

王梦, 张新林. 长江三角洲地区生态效率空间关联网络演化及其影响因素[J]. 资源与产业, 2025, 27(2): 92-105.

WANG Meng, ZHANG Xinlin. SPATIAL CORRELATION NETWORK EVOLUTION AND INFLUENCING FACTORS OF ECOLOGICAL EFFICIENCY IN THE YANGTZE RIVER DELTA AREA[J]. Resources & Industries, 2025, 27(2): 92-105.

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