The Spatial Distribution of Automobile Manufacturing Enterprises and its Influencing Factors in Liuzhou

Wei SUN; Xiaona LIN

doi:10.12082/dqxxkx.2020.190282

Journals >Journal of Geo-information Science >Volume 22 >Issue 6 >Page 1216 > Article

Journal of Geo-information Science
Vol. 22, Issue 6, 1216 (2020)

The Spatial Distribution of Automobile Manufacturing Enterprises and its Influencing Factors in Liuzhou

Wei SUN^{1、1、2、2、*} and Xiaona LIN^3、3

Author Affiliations

¹. 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

¹Key Laboratory of Regional Sustainable Development Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China

². 中国科学院大学资源与环境学院,北京 100049

²College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China

³. 深圳市城市规划设计研究院有限公司,深圳 518031

³Urban Planning and Design Institute of Shenzhen, Shenzhen 518031, China

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DOI: 10.12082/dqxxkx.2020.190282 Cite this Article

Wei SUN, Xiaona LIN. The Spatial Distribution of Automobile Manufacturing Enterprises and its Influencing Factors in Liuzhou[J]. Journal of Geo-information Science, 2020, 22(6): 1216 Copy Citation Text

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Fig. 1. Research area and sample distribution of automotive manufacturing enterprises in Liuzhou

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Fig. 2. Kernel density of the automotive manufacturing enterprises at different periods in Liuzhou City

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Fig. 3. Comparison among Ripley's L(d) function of automo-tive manufacturing enterprises at different periodsin Liuzhou City

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Fig. 4. Ripley's L(d) function of automotive manufacturing enterprises at different periodsin Liuzhou City

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Fig. 5. Grid for influencing factors analysis of spatial distribution of automobile manufacturing enterprises

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Fig. 6. Accessibility of traffic network in Liuzhou

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Fig. 7. The spatial distribution of the industrial parks in Liuzhou

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	1995年前	1996—2002年	2003—2010年	2010—2016年
L(d)峰值	2109.25	2744.57	3846.00	3396.72
峰值距离/m	5594.64	5114.50	5010.55	2733.31

Table 1. Ripley's L(d) function extreme value and distance of automotive manufacturing enterprises at different periods

因素	变量	指标
传统空间因素	土地价格x₁	格网内工业用地基准地价
传统空间因素	交通条件x₂	基于最短时间模型计算的格网交通可达性系数
集聚经济	地方化经济x₃	2001年期末格网内汽车制造业企业数量
集聚经济	城市化经济x₄	2015年格网内对应乡镇街道的人口密度
政策	工业园区x₅	格网内是否有工业园区

Table 2. Definition of independent variable

级别	基准地价/（元/m²）
I级	790
II级	655
III级	518
IV级	373
V级	336
VI级别	300

Table 3. Benchmark land price of Industrial land in Liuzhou in 2015

Y	Coef	Robust Std.Err.	z	p>\|z\|	95% 置信区间
土地价格x₁	0.006	0.001	5.24	0.000	[0.004,	0.009]
交通条件x₂	-1.147	0.278	-4.12	0.000	[-1.692,	-0.602]
地方化经济x₃	1.628	0.275	5.92	0.000	[1.089,	2.167]
城市化经济x₄	0.116	0.045	2.61	0.009	[0.029,	0.204]
工业园区x₅	1.586	0.386	4.11	0.000	[0.830,	2.343]
_cons	-5.148	0.604	-8.53	0.000	[-6.331,	-3.965]
/lnalpha	2.714	0.206			[2.311,	3.117]
alpha	15.092	3.103			[10.087,	22.581

Table 4. Negative binomial modelresults of automotive manufacturing enterprises location choice in Liuzhou

Wei SUN, Xiaona LIN. The Spatial Distribution of Automobile Manufacturing Enterprises and its Influencing Factors in Liuzhou[J]. Journal of Geo-information Science, 2020, 22(6): 1216

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