Spatial evolution and influencing factors of high-tech industries in Foshan City under the high-quality development

doi:10.3969/j.issn.1004-9479.2023.02.2020813

Abstract

Abstract:

The industrial transformation and upgrading of traditional manufacturing cities is of great significance to regional high-quality development. Based on 3885 POI data of high-tech industries in Foshan City, the spatial pattern and influencing factors were analyzed by Kernel Density Estimation, spatial autocorrelation coefficient, multiple linear regression. The results showed that: (1) From 2010 to 2017, the high-tech industries in Foshan City presented the spatial pattern of "main-core area" + "sub-core area" + "surrounding dispersion", and the aggregation areas at all levels contracted to varying degrees, showing the characteristics of high viscosity and strong aggregation degree. (2) The high-tech industries in Foshan City were in the stage of continuous gathering, but there were spatial differences in the high-tech enterprises gathering between towns (streets). The gathering level of Nanhai District and Shunde District was higher than the overall level of Foshan City and keep growing, and they had formed their own core H-H clusters. (3) In terms of influencing factors: policy support had the highest relevance, industrial agglomeration was the foundation, location environment had low relevance, universities and talent resources cannot be ignored.

Key words: high-quality development, high-tech industry, spatial evolution, influencing factor, Foshan City

摘要：

传统制造业城市的产业转型升级对区域高质量发展具有重要意义。以POI数据为基础，利用核密度分析法、空间自相关、多元线性回归等方法，以全国唯一制造业转型升级综合改革试点城市——佛山为例，探讨其高新技术产业的空间演变及影响因素。结果表明：（1）2010—2017年，佛山市的高新技术企业分布呈现出“主核心区+次核心区+周边分散”的空间模式，各级聚集区的面积都出现了不同程度的收缩，集聚程度加强。（2）佛山市高新技术企业处于持续聚集的阶段，但是镇（街）之间出现空间差异，南海区与顺德区集聚水平高于佛山市整体水平且持续增长，形成高-高集聚区。（3）在影响因素方面：政策扶持对高技术产业集聚的促进作用最大，产业集聚是基础，区位环境关联度较低，高校和人才资源的作用不容忽视。

关键词: 高质量发展, 高新技术产业, 空间演变, 影响因素, 佛山

Bo TANG, Deguan CHEN, Hao LUO, Weixing XIE, Lin LIN. Spatial evolution and influencing factors of high-tech industries in Foshan City under the high-quality development[J]. World Regional Studies, 2023, 32(2): 136-145.

唐波, 陈得冠, 罗皓, 谢伟星, 林琳. 高质量发展背景下佛山市高新技术产业空间演变及影响因素[J]. 世界地理研究, 2023, 32(2): 136-145.

Figures/Tables 6

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影响因子	计算方法
产业集聚	统计单元内2010年企业数量
交通便利性	路网密度
高校和科研院所	统计单元中心点到最近高校和科研院所的距离
公共服务水平	统计单元内公共服务设施的数量
众创空间或孵化室	统计单元是否在孵化室或众创空间的范围内
经济发展水平	统计单元的地均GDP

影响因子	计算方法
产业集聚	统计单元内2010年企业数量
交通便利性	路网密度
高校和科研院所	统计单元中心点到最近高校和科研院所的距离
公共服务水平	统计单元内公共服务设施的数量
众创空间或孵化室	统计单元是否在孵化室或众创空间的范围内
经济发展水平	统计单元的地均GDP

自变量	系数	Robust_Pr
产业集聚	0.348 7	0.000^*
距最近高校或科研院所的距离	-0.000 2	0.000^*
是否在孵化室或众创空间范围内	1.156 0	0.002^*
公共服务水平	0.052 1	0.001^*
区域交通便利性	0.167 7	0.000^*
经济发展基础	0.000 8	0.010^*

自变量	系数	Robust_Pr
产业集聚	0.348 7	0.000^*
距最近高校或科研院所的距离	-0.000 2	0.000^*
是否在孵化室或众创空间范围内	1.156 0	0.002^*
公共服务水平	0.052 1	0.001^*
区域交通便利性	0.167 7	0.000^*
经济发展基础	0.000 8	0.010^*

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