北京市高技术产业协同集聚的测度与影响因素分析  

Measurement of collaborative agglomeration of high-tech industries in Beijing and influencing factors

作　　者：郭倩钰 李承锦 侯林春[2] 孙威[1,4] GUO Qianyu;LI Chengjin;HOU Linchun;SUN Wei(Institute of Geographic Sciences and Natural Resources Research,CAS,Beijing 100101,China;China University of Geosciences,Wuhan 430074,China;North China University of Water Resources and Electric Power,Zhengzhou 450045,China;College of Resources and Environment,University of Chinese Academy of Sciences,Beijing 100049,China)

机构地区：[1]中国科学院地理科学与资源研究所,北京100101 [2]中国地质大学(武汉),武汉430074 [3]华北水利水电大学,郑州450045 [4]中国科学院大学资源与环境学院,北京100049

出　　处：《地理科学进展》2025年第2期313-326,共14页Progress in Geography

基　　金：中国科学院战略性先导科技类专项(A类)(XDA19040401);国家自然科学基金项目(41871117)。

摘　　要：产业协同集聚是产业发展到高级化阶段的产物,空间属性是其最突出的特征,而现有研究中较少关注到突破行政边界的空间要素检验问题。针对这一不足,论文以北京市高技术制造业与生产性服务业为研究对象,基于微观企业位置信息,引入DO指数、双变量映射、地理探测器等方法,构建“识别筛选-水平测度-因素分析”的综合方法体系,以期实现产业协同集聚现象的量化与可视化,并得到地形、距离、交通和政策4个空间要素在城市内部的作用程度和内在机制。结果表明:①经过识别筛选,高技术制造业与高技术生产性服务业在“产业关联-空间互动”二维体系中位于第一象限,即产业关联强且空间互动度高,适合做进一步研究;②水平测度结果中,呈现较高水平的协同集聚主要分布于城市中心地区,在外围区域呈现小规模的组团分布,在城市内部出现了小幅度的“蛙跳”现象;③影响要素探测中,交通要素的影响力为0.2450,发挥着主导作用;距离要素次之,为0.1372;地形与政策要素较弱,分别仅为0.0541和0.0955。同时,任意两个要素的交互影响都强于单一因子的作用,交通与距离要素之间的影响力为0.2828,交互作用最显著,体现了两者之间的博弈关系,也反映了北京市产业向外疏解的阶段性成果。论文实现了产业协同集聚研究由宏观地区视角向企业微观视角的转变,也为政策实施提供了定量化、科学化的依据。Industrial collaborative agglomeration is the product of industrial development to the advanced stage,and the spatial attribute is its most prominent feature,but existing research pays little attention to the spatial element test problem of breaking through the administrative boundary barriers.To address this deficiency,this study took the high-tech manufacturing industry and productive service industry in Beijing as the research objects,and constructed a comprehensive methodological system of"identification and screening-measurement of levels-factor analysis"based on the location information of micro-enterprises,in order to realize the quantification and visualization of the phenomenon of industrial collaborative agglomeration,and to obtain the degree and internal mechanism of impact of the four spatial factors of terrain,distance,transportation,and policy,at the intra-city level.The results show that:1)After identification and screening,high-tech manufacturing industry and high-tech productive service industry are located in the first quadrant of the two-dimensional system of industrial association and spatial interaction,with strong industrial association and high spatial interaction,which is suitable for further research.2)In the results of the horizontal measurement,the high-level collaborative agglomeration is mainly distributed in the central area of the city,with small-scale cluster distribution in the peripheral areas,and a small"leapfrog"phenomenon occurs within the city.3)In the detection of the influencing factors,the influence of the transportation factor is 0.2450,which plays a dominant role;the distance factor is the second largest,which is 0.1372;and the terrain and policy factors are relatively weak,with influences of only 0.0541 and 0.0995,respectively.The interaction effect of any two factors is stronger than that of a single factor,and the influence of transportation and distance is 0.2828,which represents the most significant interactive effect,reflecting the mutual game relationship between

关 键 词：产业协同集聚 DO指数 双变量映射 地理探测器 北京 

分 类 号：F27[经济管理—企业管理]