中国工业结对集聚和空间关联性分析

doi:10.11821/dlxb202104016

Abstract

Abstract:

In order to promote the formation of a regional economic location with complementary advantages and high-quality development, it is necessary to examine the spatial pattern of Chinese industry from the perspective of industrial relatedness. Agglomeration is a common spatial pattern of industry. We construct two indices by combining coagglomeration and input-output linkages to analyze spatial relatedness. The first index is used to measure relatedness of agglomerated industries (hereafter ACX index). The second index is used to measure agglomeration of related industries (hereafter CXI index). Then, we use two-digit data from Chinese industrial enterprises database and measure the proposed indices to answer the following 2 questions: (1) whether the spatial relatedness is different at different spatial scales, and (2) what makes the difference in spatial relatedness. We find that more coagglomerations in a region do not mean that the ACX index is large. The ACX index of Chinese industry presents an inverted U-shaped distribution from 2003 to 2013. Comparing different spatial scales, we find that there is a positive correlation between the ACX index and size of the researched space, however, there is a negative correlation between ACX index and size of the basic unit. Comparing similar spatial scales, we find the ACX index is larger in city clusters and the Yangtze Economic Belt. These differences are mainly due to the existing regional governance system, the industrial composition of the region and external shocks. Different regions and industrial composition will evolve into different industrial spatial patterns. Therefore, it is necessary to create networks of cities and towns based on city clusters and the Yangtze River Economic Belt, so as to enhance industrial division and urban cooperation. In this way, the optimal regional economic location and coordinated regional development would be achieved.

Key words: coagglomeration, EG index, industrial relatedness, spatial scale, regional economic location

ZHANG Keyun, ZHU Chunxiao. Coagglomeration and spatial relatedness of China's industry[J].Acta Geographica Sinica, 2021, 76(4): 1019-1033.

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基本单元	研究空间
基本单元	市	省	城市群	长江经济带	四大板块
区县	√	√	√	√	√
市	-	√	√	√	√
省	-	-	-	√	√

代码	产业名称	代码	产业名称	代码	产业名称
C1	煤炭开采和洗选业	C11	化学工业	C20	仪器仪表及文化办公用机械制造业
C2	石油和天然气开采业	C12	非金属矿物制品业		仪器仪表及文化办公用机械制造业
C3	金属矿采选业	C13	金属冶炼及压延加工业	C21	其他制造业
C4	非金属矿采选业	C14	金属制品业	C22	废弃资源和废旧材料回收加
C5	食品制造及烟草加工业	C15	通用设备制造业		工业
C6	纺织业	C16	专用设备制造业	C23	电力、热力的生产和供应业
C7	服装皮革羽绒及其制品业	C17	交通运输设备制造业	C24	燃气生产和供应业
C8	木材加工及家具制造业	C18	电气、机械及器材制造业	C25	水的生产和供应业
C9	造纸业及文教用品制造业	C19	通讯设备、计算机及其他电子设备制造业
C10	石油加工、炼焦及核燃料加工业		通讯设备、计算机及其他电子设备制造业

Coagglomeration and spatial relatedness of China's industry

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