珠三角城市群制造业集疏与产业空间格局变动

doi:10.18306/dlkxjz.2020.02.002

地理科学进展 ›› 2020, Vol. 39 ›› Issue (2): 195-206.doi: 10.18306/dlkxjz.2020.02.002

珠三角城市群制造业集疏与产业空间格局变动

刘汉初¹^,², 樊杰¹^,²^,³^,^*(), 张海朋²^,³, 王甫园²

^1. 中国科学院科技战略咨询研究院,北京 100190
^2. 中国科学院地理科学与资源研究所/区域可持续发展分析与模拟重点实验室,北京 100101
^3. 中国科学院大学资源与环境学院,北京 100049

收稿日期:2019-02-25 修回日期:2019-03-30 出版日期:2020-02-28 发布日期:2020-04-28
通讯作者: 樊杰
作者简介:刘汉初(1989— ),男,四川内江人,博士后,研究方向为产业空间及其资源环境效应。E-mail:liuhanc521@sina.com
基金资助:
国家自然科学基金项目(41630644);国家自然科学基金项目(41901181)

Dynamics of manufacturing industry and change of its spatial pattern in the Pearl River Delta urban agglomeration

LIU Hanchu¹^,², FAN Jie¹^,²^,³^,^*(), ZHANG Haipeng²^,³, Wang Fuyuan²

^1. Institute of Science and Development, CAS, Beijing 100190, China
^2. Institute of Geographic Sciences and Natural Resources Research, Key Laboratory of Regional Sustainable Development Modeling, CAS, Beijing 100101, China
^3. College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China

Received:2019-02-25 Revised:2019-03-30 Online:2020-02-28 Published:2020-04-28
Contact: FAN Jie
Supported by:
National Natural Science Foundation of China(41630644);National Natural Science Foundation of China(41901181)

摘要/Abstract

摘要：

有序推进不同类型制造业集疏与产业空间格局变动是优化区域空间组织、提升地区竞争力的重要过程。论文基于区县层面的制造业企业汇总数据,在刻画珠三角城市群制造业集疏及其产业空间格局变动的基础上,建立统计模型对其影响因素进行解析。结果表明,空间集聚程度最高的是技术密集型产业,其次是资本密集型产业,最低的是劳动密集型产业。不同类型制造业空间集疏差异促使城市群“核心—边缘”结构进一步强化,核心城市更加专业化发展技术密集型产业,而边缘城市则承接劳动密集型产业。资源环境承载力显著影响了制造业空间格局变动,核心城市土地资源紧缺促使制造业总体和劳动密集型产业向土地资源更加丰富的地区转移,环境压力促使劳动密集型和资本密集型产业向环境容量更大的地方扩散,但资源环境承载力对技术密集型产业影响不明显。另外,区位与交通条件、经济技术水平、制度与政策等对不同类型产业的作用强度和方向也存在显著差异,共同推动珠三角城市群产业转型与制造业空间重构。

关键词: 珠三角城市群, 制造业, 集聚与扩散, 产业空间格局, 资源环境承载力

Abstract:

The spatial restructuring of regional manufacturing industry involves the dispersion of different types of industries and change in industrial spatial structure. It is an important driving force for optimizing regional spatial organization and increasing regional competitiveness. Based on the aggregated data of manufacturing enterprises, this study used county as the basic unit of analysis to explore the spatial reconstruction features of manufacturing space in the Pearl River Delta urban agglomeration. The result shows that, the differences in spatial agglomeration and diffusion of different types of manufacturing industries have led to further change of the "core-periphery" structure of the urban agglomeration. Core cities have become more specialized in the development of technology-intensive industries, while peripheral cities have accommodated labor-intensive industries. Resource and environmental carrying capacity has significantly affected the changes in the spatial pattern of manufacturing industry. The shortage of land resources has prompted the manufacturing industry in general and particularly labor-intensive industries to shift to areas with more abundant land resources. Environmental stress has facilitated the proliferation of labor-intensive and capital-intensive industries in places with greater environmental carrying capacity. However, the impact of resource and environmental carrying capacity on technology-intensive industries is not obvious. In addition, the impact of traffic conditions, technological levels, policies, and other factors on different types of industries is significantly different, which jointly promote the industrial transformation of the Pearl River Delta urban agglomeration.

Key words: the Pearl River Delta urban agglomeration, manufacturing industry, agglomeration and diffusion, industrial spatial pattern, resource and environmental carrying capacity

刘汉初, 樊杰, 张海朋, 王甫园. 珠三角城市群制造业集疏与产业空间格局变动[J]. 地理科学进展, 2020, 39(2): 195-206.

LIU Hanchu, FAN Jie, ZHANG Haipeng, Wang Fuyuan. Dynamics of manufacturing industry and change of its spatial pattern in the Pearl River Delta urban agglomeration[J]. PROGRESS IN GEOGRAPHY, 2020, 39(2): 195-206.

图/表 6

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图4

表2

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产业类型	细分行业
劳动密集型	农副食品加工业,食品制造业,饮料制造业,纺织业,纺织服装、鞋、帽制造业,皮革、毛皮、羽毛(绒)及其制品业,木材加工及木、竹、藤、棕、草制品业,家具制造业,造纸及纸制品业,印刷业和记录媒介的复制,文教体育用品制造业,橡胶和塑料制品业,非金属矿物制品业,金属制品业
资本密集型	烟草制品业,石油加工、炼焦及核燃料加工业,化学原料及化学制品制造业,化学纤维制造业,黑色金属冶炼及压延加工业,有色金属冶炼及压延加工业,通用设备制造业,专用设备制造业,交通运输设备制造业
技术密集型	医药制造业,电气机械及器材制造业,通信设备、计算机及其他电子设备制造业,仪器仪表及文化、办公用机械制造业

变量	制造业总体					劳动力密集型	资本密集型	技术密集型
变量	模型1	模型2	模型3	模型4	模型5	劳动力密集型	资本密集型	技术密集型
lnTRAN	-0.340^***				-0.328^**	-0.283^*	-0.368	-0.418
COAST	-0.026				0.318	-0.207	0.341^**	0.263
lnWAGE		-0.202^***			-0.207^*	-0.868^**	0.499	0.095^*
RD		0.007			0.073	-0.293	-0.566	0.851^***
FDI		-0.917^*			-1.124^**	-1.273	-0.993	-0.995^*
FINA			1.457^**		1.172^*	0.510^**	1.707^**	1.543
SOE			0.279		0.417	0.672	0.953^*	-0.036^*
AWR				-0.064	-0.073	0.050	0.222	-0.237
ALR				0.977^*	1.282^*	1.859^**	0.772	1.355
ES				-0.098^**	-0.062^*	-0.183^*	-0.167^***	0.058^**
lnSIZE	-0.153	-0.123	-0.137	-0.160	-0.169	-0.190	-0.031	-0.218
SPEC	-0.281	-0.269^**	-0.429	-0.340^***	-0.752^*	-0.922^**	-1.638	-0.424
lnURBAN	-0.001^**	0.207	-0.106	-0.170^**	-0.062^**	-0.204^*	0.115^*	0.062^**
调整R²	0.456	0.518	0.414	0.613	0.587	0.610	0.726	0.563
F值	7.951	12.479	6.706	6.103	4.675	6.022	10.181	4.953

珠三角城市群制造业集疏与产业空间格局变动

Dynamics of manufacturing industry and change of its spatial pattern in the Pearl River Delta urban agglomeration

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