Resources & Industries ›› 2023, Vol. 25 ›› Issue (2): 37-51.DOI: 10.13776/j.cnki.resourcesindustries.20230315.001

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SPATIAL PATTERN EVOLUTION AND FACTORS OF PRODUCER SERVICES IN YANGTZE RIVER ECONOMIC ZONE FROM PERSPECTIVE OF ENTERPRISES’ ENTRY

JI Tianzheng1, HUANG Qiaolong2, ZHANG Tianling1, SU Panda2   

  1. (1. School of Economics and Management, China University of Geosciences, Wuhan 430074, China; 2. Fujian Academy of Social Sciences, Fuzhou 350001, China)
  • Received:2022-09-13 Revised:2022-09-28 Online:2023-04-20 Published:2023-04-27

长江经济带生产性服务业的空间格局演变与影响因素研究——基于企业进入视角

及添正1,黄巧龙2,张天铃1,苏攀达2   

  1. 1 中国地质大学(武汉)经济管理学院,湖北 武汉 430074;2福建社会科学院,福建 福州 350001)

  • 作者简介:及添正,硕士生,主要从事区域产业聚集方面的研究。Email:jtz0530@163.com
  • 基金资助:
    福建社会科学院博士专项资助基金(53212208)。

Abstract: This paper uses producer services data in Yangtze River economic zone to establish a compound weighted concentrating indicator which not only macroscopically stock concentration, but also reflects dynamic increment, and employs natural breakpoint classification, spatial auto-correlation, standard deviation ellipse and spatial metering model to study the spatial pattern evolution and factors of 2000 to 2019 producer services in Yangtze River economic zone. Its producer services shows a “west-low-east-high” concentrating distribution with a diminishing regional variance amid temporal-spatial evolution, and with remarkable localized coherence and spatial heterogeneity. Low-level radiation is mainly located in Hunan, Hubei and eastern Sichuan, high-level in Nanchang, Hangzhou and Shanghai centers. Chongqing, Sichuan and Hubei show a patter of “core-high-majority-low”. Spatially it is a “northeast-southwest” distributing pattern with its internal industries showing three spatial concentrating patterns, more centralized, and new entities favoring concentrating in the down-stream of Yangtze River. Concentration of producer services is variably influenced by human capital, governmental expense, house price, traffics and openness, most by human capital and traffics. This paper presents policy suggestions on promoting producer services in Yangtze River economic zone on the basis of regional heterogeneity and factors.

Key words:

Yangtze River economic zone, producer services, spatial concentration, compound weighted concentrating indictor, ESDA(exploratory spatial data analysis)

摘要: 文章以长江经济带生产性服务业企业数据为基础,构建既能反映宏观层面生产性服务业的“存量”集聚,又能体现微观企业进入“增量”动态性的复合加权集聚指数,然后采用自然断点分级法、空间自相关、标准差椭圆与空间计量模型对2000—2019年长江经济带生产性服务业集聚的时空演变规律与影响因素展开分析。研究结果发现:1)长江经济带生产性服务业整体呈现“西低东高”的集聚分布特征,在时空演变过程中生产性服务业发展的区域差异有所缩小,且生产性服务业局部连片分布趋势与空间异质性特征明显,低水平辐射区主要位于湖南、湖北与四川东部,高水平辐射区以南昌、杭州、上海等城市为核心,重庆、四川、湖北三地出现“核心突出,腹地塌陷”的极化格局;2)长江经济带生产性服务业呈现“东北—西南”的空间分布格局,生产性服务业内部行业则表现为3种空间聚集模式,且与生产性服务业整体相比,多数子行业的空间分布更加集中化,新企业更偏向于在长江下游地区进行集聚;3)人力资本、政府支出、房价、交通通达性和对外开放程度对生产性服务业集聚存在不同程度的影响,其中,核心变量是人力资本与交通通达性。最后,论文提出了基于区域异质性与影响因素分析的促进长江经济带生产性服务业发展的政策建议。

关键词: 长江经济带, 生产性服务业, 空间集聚, 复合加权集聚指数, 探索性空间数据分析

CLC Number: