产业空间集聚中心引力指数算法的设计及应用——基于长三角一体化视角的企业微观数据验证被引量：8

Design and Application of Central Gravity Index Algorithm for Industrial Spatial Agglomeration:Enterprise Micro Data Verification Based on the Integration Perspective of the Yangtze River Delta

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摘要为了在测度产业集聚程度的同时,测度产业集聚的空间地理位置,融合基于产值和基于距离两类产业空间集聚测度方法,提出中心引力指数法。基于企业层面微观数据,包括地理位置和产值等指标,应用引力模型测度产业集聚度,构造相对指标置信区间和设定绝对指标判定阈值,识别产业空间集聚程度及其地理空间分布特征,并利用长三角地区1998—2013年期间的制造业企业数据,使用R语言对中心引力指数法进行计算和验证。结果表明,中心引力指数法能够准确测度产业的空间集聚分布特征及其动态变化。对长三角制造业的实证分析,发现部分制造业朝三个方向转移,而其他产业进一步强化集聚。中心引力指数法,改进了现有产业空间集聚衡量方法,弥补了基于产值测度方法忽视空间分布,而基于距离方法产值权重应用不足且无法确定地理位置的缺陷;通过虚拟中心企业地理位置为追踪产业转移地理路径提供了一个新的方法,并为地区一体化研究提供微观数据分析的新思路。 In order to measure the degree and the geographical location of industrial agglomeration,the central gravity index method is proposed by combining two kinds of industrial spatial agglomeration measures based on output value and distance.Based on micro enterprise level data,including location and output indicators,the gravity model is applied to measure economic agglomeration degree,construct relative index confidence interval and set absolute index judgment threshold,to identify the degree of industrial concentration and geographic space distribution characteristics,and use the Yangtze river delta region's data of manufacturing enterprises during 1998—2013,calculating and verifying the central gravity index.It is found that the central gravity index method can accurately measure the characteristics and dynamic changes of industrial spatial agglomeration distribution.The empirical application of the manufacturing industry in the Yangtze River delta shows that,some manufacturing industries shift in three directions,while other industries further strengthen their agglomeration degree.The central gravity index method proposed here improves the existing industrial spatial cluster measurement method,and makes up for the deficiency that the output value measurement method ignores the spatial distribution,and the distance-based method applied the weight of output value insufficiently and the geographical location can't be determined.The virtual central enterprise location provides a new method to track the geographical path of industrial transfer and provides a new idea of micro data analysis for regional integration research.

作者嵇正龙宋宇 JI Zheng-long;SONG Yu(School of Economics and Management,Northwestern University,Xi'an 710127,China)

机构地区西北大学经济管理学院

出处《统计与信息论坛》 CSSCI 北大核心 2020年第3期38-48,共11页 Journal of Statistics and Information

基金教育部人文社会科学研究西部和边疆地区规划基金资助项目“中国特色社会主义政治经济学若干重大理论问题研究”(19XJA790002) 陕西省高校人文社会科学青年英才支持计划资助项目“新常态下中等收入陷阱研究”(HSSTP201426) 国家社会科学基金后期资助项目“经济复杂度、人力资本与中等收入陷阱”(19FJLB007)。

关键词空间集聚中心引力指数长三角制造业企业微观数据 spatial agglomeration central gravity index yangtze river delta manufacturing enterprises micro data

分类号 F429.9 [经济管理—产业经济]

作者简介嵇正龙,男,江苏沭阳人,博士生,讲师,研究方向:企业动态与经济增长;通讯作者:宋宇,男,陕西黄陵人,博士生导师,研究方向:区域经济,发展经济学。