产业集聚与空间发展研究——以荆州高新区为例

Peiqin Yuan, Xuan Zhu, Chang-mei Lu
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引用次数: 0

摘要

荆州高新区是荆州的一个工业产业集聚区。荆州高新技术产业发展总体水平不高。在经历了近几年的高速增长后,由于宏观经济环境的影响,与同类开发区相比,该区逐渐进入产业发展的困难时期,缺乏大面积的连片用地、新城规划的调整、政策的推广。选取荆州工业高新区产业与空间发展的24项代表性指标,构建荆州产业发展评价体系。采用SPSS主成分分析法对系统进行验证。借鉴现有的产业空间集聚分析方法,对影响荆州高新区企业产业集聚的几个因素进行了分析,构建了荆州高新区产业空间集聚的计算模型。对荆州高新区49家企业的产业空间集聚进行了计算。主成分分析结果和49家企业的产业集聚度计算结果表明,荆州的工业发展在时间和空间上都是正的,工业动产周转率、工业负债率、工业损失率、工业第二产业固定投资、工业就业人口、污水处理率等6个项目对该区的工业发展有影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on Industrial Aggregation and Spatial Development: Jingzhou High-tech Zone as Example
Jingzhou High-tech Zone is an industrial industry agglomeration in Jingzhou. The overall level of high-tech industry development in Jingzhou is not high. After experiencing high growth in recent years, it gradually enters a difficult period of industrial development due to the macroeconomic environment and lacks a large contiguous land, adjustment of new city planning, and generalization of policies, compared to similar development zones. We selected 24 representative indicators for the industrial and spatial development of the Jingzhou industry and High-tech Zone to construct an evaluation system for industrial development in Jingzhou. SPSS principal component analysis method was used for validating the system. We analyzed several factors affecting the industrial clustering of enterprises in the Jingzhou high-tech zone by referring to the existing analysis method of industrial spatial aggregation to construct a calculation model for the industrial spatial aggregation of the Jingzhou high-tech zone. The industrial spatial aggregation of 49 enterprises in the Jingzhou high-tech zone was calculated, too. The results of principal component analysis and the calculation results of the industrial aggregation degree of 49 enterprises showed that the industrial development of Jingzhou was positive in time and space, and six items, such as industrial turnover of movable assets, industrial debt rate, industrial loss rate, industrial secondary industry fixed investment, industrial employment population, and sewage treatment rate affected the zone’s industrial development.
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