摘要
基于复杂网络研究的视角,以城市群生态效率为研究对象,探讨城市科技投入及网络特征对生态效率的影响。利用30个城市2003-2017年面板数据测度了中原城市群生态效率,基于地理引力模型构建城市群生态关联网络,获取城市个体网络特征指标,并分析城市科技投入和网络特征对生态效率的影响效果。研究发现:①中原城市群生态效率总体呈持续上升趋势,表现出"一体两翼"的空间分布态势;城市生态效率水平个体差异显著,且差距不断扩大。②城市群网络连通性较高,整体网络密度先升后降;郑-焦-洛-新等构成城市群的核心极,接近核心区域的城市生态水平较高;城市个体中心度差异较大。③科技投入、接近中心度对生态效率有显著正向影响,科技投入与接近中心度存在显著的交互作用且呈现正向影响;产业结构和城镇化率也对生态效率有显著的正向影响,而外资利用未表现出显著影响。
On the perspective of complex network,taking the ecological efficiency of urban agglomerations as the research object,the impacts of S&T investment and network characteristics on ecological efficiency have been explored. Using panel data of 30 cities from2003 to 2017 to measure the ecological efficiency of the Central Plains urban agglomeration,the characteristics of network nodes are obtained. Applying the geographic gravity model,the eco-affiliated network has been constructed. Finally,the impacts of S&T investment and network characteristics on ecological efficiency have been analyzed. The results show as follows. The overall ecological efficiency of the Central Plains urban agglomeration shows a continuous upward trend,and the spatial distribution of"one body,two wings". The individual differences of urban ecological efficiency level are significant,and the gap is expanding. Connectivity of urban agglomeration network is high-level,and the overall network density first rises and then falls. Zhengzhou-Jiaozuo-Luoyang-Xinxiang constitute the core pole of urban agglomeration,cities which are close to the core area have a high ecological level,and there is obvious difference among cities. S&T investment and closeness have significant positive impacts on ecological efficiency,while they interact with each other and lead to positive effects,industrial structure and urbanization rate also have significant positive impacts on ecological efficiency,while FDI has no significant impact.
作者
王文彬
马歆
Wang Wenbin;Ma Xin(Business School,Hohai University,Nanjing 210098,China;School of Management and Economics,North China University of Water Resources and Electric Power,Zhengzhou 450046,China)
出处
《技术经济》
CSSCI
北大核心
2020年第6期109-118,共10页
Journal of Technology Economics
基金
国家社会科学基金“时空分异视角下碳交易对我国区域经济发展的影响”(16BJL076)
河南省科技厅软科学项目“河南省生态水利行业系统性风险传染机理与阻断策略研究”(202400410129)
河南省教育厅人文社会科学基金“河南省交通物流网络构建研究”(2020-ZZJH254)。
关键词
科技投入
网络特征
生态效率
中原城市群
science and technology investment
networks characteristics
ecological efficiency
Central Plains urban agglomerations