基于生态位理论的重庆市物流企业优势区位及影响因素研究

doi:10.13249/j.cnki.sgs.2020.03.007

地理科学 ›› 2020, Vol. 40 ›› Issue (3): 393-400.doi: 10.13249/j.cnki.sgs.2020.03.007

基于生态位理论的重庆市物流企业优势区位及影响因素研究

刘思婧^1,², 孙文杰¹(), 李国旗^1,^2,³

^1. 西南交通大学交通运输与物流学院, 四川成都 610031
^2. 西南交通大学综合交通运输智能化国家地方联合工程实验室, 四川成都 610031
^3. 中国科学院地理科学与资源研究所, 北京100101

收稿日期:2019-04-09 修回日期:2019-07-10 出版日期:2020-03-10 发布日期:2020-05-13
通讯作者: 孙文杰 E-mail:sunwenjie@my.swjtu.edu.cn
作者简介:刘思婧（1984-）,女,四川成都人,副教授,硕导,主要从事物流系统规划与优化研究。E-mail: liusijing@swjtu.edu.cn
基金资助:
国家自然科学基金项目(71603219);国家自然科学基金项目(41701126);四川省科技厅应用基础研究项目(2019YJ0217);成都市软科学研究项目资助(2017-RK00-00365-ZF)

Advantage Location and Influencing Factors of Logistics Enterprises in Chongqing Based on Niche Theory

Liu Sijing^1,², Sun Wenjie¹(), Li Guoqi^1,^2,³

^1. School of Transportation and Logistics, Southwest Jiaotong University, Chengdu 610031, Sichuan, China
^2. National Engineering Laboratory of Integrated Transportation Big Data Application Technology, Southwest Jiaotong University, Chengdu 610031, Sichuan, China
^3. Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China

Received:2019-04-09 Revised:2019-07-10 Online:2020-03-10 Published:2020-05-13
Contact: Sun Wenjie E-mail:sunwenjie@my.swjtu.edu.cn
Supported by:
National Natural Science Foundation of China(71603219);National Natural Science Foundation of China(41701126);Applied Basic Research Project of Sichuan Science and Technology Department(2019YJ0217);Chengdu Soft Science Project(2017-RK00-00365-ZF)

摘要/Abstract

摘要：

基于重庆市5 937家物流企业,采用物流企业生态位模型和计数模型,从多尺度甄别物流企业优势区位及影响因素。结果表明：① 在区县尺度上,生态位宽度处于高中低水平的区县分别有8、8、22个,围绕主城区和万州区呈现“一主一副”的空间结构;② 在街道尺度上,物流企业密度处于前3层的29个街道中仅有1个街道的物流企业态处于前3层,物流企业密度处于后3层的413个街道中有29个街道的物流企业态处于前3层,态值与密度空间分布总体不协调,高密度低态值问题突出;③ 商品交易市场交易额和是否有物流节点布局与物流企业数量高度正相关,不受规模影响;对物流企业规模加权后,工业产值被是否有港口布局因素取代。

关键词: 物流企业, 生态位理论, 优势区位, 影响因素, 重庆市

Abstract:

Based on 5 937 logistics enterprises in Chongqing, the ecological niche model of logistics enterprises and counting model are adopted to identify the advantageous location and influencing factors of logistics enterprises from multiple scales. The following conclusions are drawn in the article. 1) At the district and county scales, there are 8, 8 and 22 districts and counties with a niche breadth in the high, medium and low levels, and a spatial structure of “one main gathering center and one sub-concentrating center” is presented around the main urban area and Wanzhou District; 2) On the street scale, 29 streets’ logistics enterprises density are on the first three floors, but among these 29 streets, only one street’s logistics enterprises state is on the first three floors; and 413 streets’ logistics enterprises density are on the last three floors, but among these 413 streets, 29 streets’ logistics enterprises state is on the first three floors; There are not coordinated in spatial distribution between logistics enterprises state and logistics enterprises density, and the outstanding problem is that logistics enterprises density in some streets is higher, but logistics enterprises state is lower; 3) From the perspective of influencing factors, trading volume in commodity exchange market and the presence of logistics nodes are highly positively correlated with the number of logistics enterprises, which are not affected by the scale. After weighting the scale of logistics enterprises, industrial output value is replaced by whether there is a factor of port layout.

Key words: logistics enterprise, niche theory, advantageous location, influencing factor, Chongqing

中图分类号:

刘思婧, 孙文杰, 李国旗. 基于生态位理论的重庆市物流企业优势区位及影响因素研究[J]. 地理科学, 2020, 40(3): 393-400.

Liu Sijing, Sun Wenjie, Li Guoqi. Advantage Location and Influencing Factors of Logistics Enterprises in Chongqing Based on Niche Theory[J]. SCIENTIA GEOGRAPHICA SINICA, 2020, 40(3): 393-400.

图/表 5

表1

图1

图2

图3

表2

重庆物流企业区位选择回归模型估计结果"

响应变量	最优模型	系数
物流企业数量	常数	3.5^***
	$Industry$	3.4×e^-⁸
	$Pmarket$	2.0×e^-^7***
	$LN$	0.51^***
响应变量	最优模型	系数
物流企业加权数量	常数	8.2^***
	$W h arf$	0.3^*
	$Pmarket$	3.1×e^-^7***
	$LN$	0.6^***

表2

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区域空间结构	区域范围
主城区	渝中区、渝北区、江北区、北碚区、南岸区、沙坪坝区、大渡口区、巴南区、九龙坡区
城市发展新区	长寿区、璧山区、合川区、潼南区、铜梁区、大足区、荣昌区、永川区、江津区、綦江区、涪陵区、南川区
渝东北地区	万州区、开州区、奉节县、忠县、云阳县、城口县、梁平区、巫山县、巫溪县、垫江县、丰都县
渝东南地区	黔江区、石柱土家族自治县、彭水苗族土家族自治县、酉阳土家族苗族自治县、秀山土家族苗族自治县、武隆区

基于生态位理论的重庆市物流企业优势区位及影响因素研究

Advantage Location and Influencing Factors of Logistics Enterprises in Chongqing Based on Niche Theory

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