珠三角制造业集聚特征及基于增量的演变分析

doi:10.18306/dlkxjz.2018.09.011

Abstract

Abstract:

Traditional industrial agglomeration research methods based on macroscopic statistical data use mostly administrative divisions as spatial statistical units, and it is difficult to reflect the spatial continuity of industries. The emergence of enterprise data sets on open data platforms makes it possible to study industrial agglomerations at the micro level. This study collected industrial and commercial registration data of manufacturing enterprises in the Pearl River Delta region and adopted a distance-based index system and nuclear density analysis methods to analyze the manufacturing clustering characteristics of the Pearl River Delta region in 2008 and the manufacturing aggregation growth based on increments from 2008 to 2014. Based on the analysis, the following conclusions are drawn: The Pearl River Delta region's manufacturing industry is concentrated in five cities, including Shenzhen, Foshan, Guangzhou, Dongguan, and Zhongshan, in northwest-southeast direction. The manufacturing density of the surrounding cities is relatively low. The degree of agglomeration and industry attributes are closely related—technology-intensive industries have the highest degree of agglomeration, capital-intensive industries have the highest degree of dispersion, labor-intensive manufacturing industries have a weak concentration, and resource-intensive industries have no obvious agglomeration or dispersion characteristics. The number of newly established enterprises increased from year to year in 2008-2014, and there were significant differences between different cities. Among them, the newly established manufacturing enterprises in Shenzhen have decreased year by year, the newly established manufacturing enterprises in Dongguan, Zhongshan, and other places have increased significantly, and other cities have remained stable or increased slowly. The newly established manufacturing industry has gradually shifted its focus from Shenzhen to Dongguan and Zhongshan. Among them, the proportion of technology-intensive manufacturing enterprises has decreased, while the number of labor-intensive manufacturing enterprises has increased. The agglomeration index also shows the same trend, indicating that technology-intensive manufacturing and labor-intensive manufacturing is undergoing structural and spatial changes.

Key words: industrial agglomeration, manufacturing industry, spatiotemporal evolution, Pearl River Delta

Hanqing LI, Wen YUAN, Mingqing MA, Wu YUAN. Manufacturing industry agglomeration characteristics in the Pearl River Delta and evolution based on growth data[J].PROGRESS IN GEOGRAPHY, 2018, 37(9): 1291-1302.

Figures/Tables 16

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References 30

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制造业要素分类	制造业2位行业代码及行业名称
劳动密集型制造业	13：农副食品加工业;14：食品制造业;15：酒、饮料和精制茶制造业;17：纺织业;18：纺织服装、服饰业;19：皮革、毛皮、羽毛及其制品和制鞋业;21：家具制造业;22：造纸和纸制品业;23：印刷和记录媒介复制业;24：文教、工美、体育和娱乐用品制造业;41：其他制造业;43：金属制品、机械和设备修理业
资本密集型制造业	16：烟草制品业;20：木材加工和木、竹、藤、棕、草制品业;28：化学纤维制造业;31：黑色金属冶炼和压延加工业;32：有色金属冶炼和压延加工业
技术密集型制造业	26：化学原料和化学制品制造业;27：医药制造业;34：通用设备制造业;35：专用设备制造业;36：汽车制造业;37：铁路、船舶、航空航天和其他运输设备制造业;38：电气机械和器材制造业;39：计算机、通信和其他电子设备制造业;40：仪器仪表制造业
资源密集型制造业	25：石油加工、炼焦和核燃料加工业;29：橡胶和塑料制品业;30：非金属矿物制品业;33：金属制品业;42：废弃资源综合利用业

要素密集型	企业数量	数量占比/%	集聚指数
劳动密集型	54662	31.85	0.08
资本密集型	4083	2.38	-0.22
技术密集型	70242	40.92	0.34
资源密集型	42651	24.85	-0.01

劳动密集型企业			技术密集型企业			资源密集型企业			资本密集型企业
行业代码	企业数	集聚指数	行业代码	企业数	集聚指数	行业代码	企业数	集聚指数	行业代码	企业数	集聚指数
43	656	0.50	40	5598	0.74	42	1648	0.12	32	1040	0.12
21	5468	0.14	39	24100	0.64	33	20303	0.06	16	30	0.04
18	13052	0.12	27	1255	0.44	29	18383	0.03	31	1417	-0.01
19	5568	0.08	38	13026	0.19	25	280	-0.09	28	240	-0.17
13	2524	0.07	35	5427	0.18	30	4250	-0.14	20	2252	-0.18
24	6531	0.07	36	1874	0.18
23	7125	0.02	34	4272	0.14
22	6503	0.00	37	1524	0.01
41	1868	-0.01	26	6803	-0.12
17	5528	-0.02
14	2297	-0.13
15	796	-0.31

Manufacturing industry agglomeration characteristics in the Pearl River Delta and evolution based on growth data

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