Please wait a minute...
PROGRESS IN GEOGRAPHY
 
引用检索 快速检索 图表检索 高级检索
地理科学进展  2015, Vol. 34 Issue (5): 629-637    DOI: 10.11820/dlkxjz.2015.05.011
  本期目录 | 过刊浏览 | 高级检索 |
基于物流热度的中国物流业空间格局
李国旗1,2,金凤君2,陈娱2,刘思婧1
1. 西南交通大学交通运输与物流学院,成都 610031
2. 中国科学院地理科学与资源研究所,北京 100101
Spatial patterns of logistics industry based on a geographic analysis of hotness degree
Guoqi LI1,2,Fengjun JIN2,Yu CHEN2,Sijing LIU1
1. School of transportation & logistics, Southwest Jiaotong University, Chengdu 610031, China
2. Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101 ,China
全文: PDF(0 KB)   HTML
输出: BibTeX | EndNote (RIS)      
摘要 

物流业空间格局是以物流设施为核心的物流实体网络和以物流企业为核心的物流组织网络在地表空间形态及结构。为研究中国物流业空间格局的现状及演变趋势,2014年8月利用百度在线地图搜索与数据采集技术,获取了中国大陆31个省级行政单位的80507个物流热度数据样本。通过物流热度与相关指标间的回归分析,构建了物流热度的理论计算公式,验证物流热度数据的有效性和合理性。从地级市、省域、城市群、经济区尺度,刻画和分析物流服务能力与水平、辐射范围的差异所形成的空间格局,探究经济发展水平、物流园区建设对物流业空间格局演变的影响,提出基于物流热度的物流中心城市。研究表明:物流热度与地区生产总值、交通运输、仓储及邮政业法人单位数呈正相关;经济发展整体水平越高的城市群地区,物流业一体化程度越高;物流设施和物流企业的布局具有显著的产业性需求与交通区位指向特征,并逐步表现出消费性需求与人口指向特征;东部沿海地区呈现“单主中心+多副中心”、“多主中心+多副中心”的空间格局,中西部地区呈现“单中心”的空间格局,地区差异显著。研究结果有助于物流业规划及物流政策的制定。

服务
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章
李国旗
金凤君
陈娱
刘思婧
关键词 物流热度物流首位度空间格局物流中心城市    
Abstract

:Spatial patterns of logistics industry is formed by the spatial distribution and structure of logistics facilities and enterprises. In order to examine the current situation and change of spatial patterns of logistics industry in China, we put forward the concepts of "logistics hotness degree "and "primacy index of cities." In August 2014, we obtained 80507 samples of logistics hotness degree data at the prefecture level or above in China based on "logistics" key word search using Baidu maps (excluding Hong Kong, Macao, and Taiwan). Through establishing an index of logistics hotness degree, the correlation between logistics hotness degree and indicators were analyzed. This article presents the construction of the logistics hotness degree index and demonstrates the effectiveness and validity of Internet-based data on logistics industry. Spatial patterns of logistics industry are analyzed in terms of capacity, level of service, and spatial influence at the prefecture,provincial, metropolitan area, and economic zone scales. We explored the impact of economic development and logistics park construction on the evolution of the spatial patterns of logistics industry. Logistics centers were identified and compared to the national and regional logistics hub cities designated in the "Logistics Industry Restructuring and Revitalization Plan" issued by the State Council and the "National Logistics Park Development Planning" issued by the National Development and Reform Commission and 11 other ministries. Some conclusions can be drawn as follows: the logistics hotness degree information is a comprehensive representation of logistics facilities and logistics enterprises.It is highly correlated with GDP, number of primary industry corporation units in transportation, warehousing, and postal services. Economic development level is highly correlated with logistics industry development. The spatial layout of logistics facilities and enterprises is significant correlated with industrial demand and their locations in the transport system; and it increasingly influenced by the of consumption demand and distribution and socioeconomic conditions of population. In the eastern coastal region of China, logistics industry distribution shows the spatial characteristics of "single-center and multiple sub-centers" or "multiple-centers and multiple sub-centers." In the central and western regions, however, the spatial pattern of distribution is characterized by "single -centers," which shows a clear regional difference from the coastal region. The result of this research may provide some guidance for logistics plann ing and logistics industrial policy of the central and regional governments for the thirteenth Five-Year Plan period and beyond.

Key wordslogistics hotness degree    primacy index of cities    spatial pattern    logistics centers
     出版日期: 2015-07-01
基金资助:国家自然科学基金项目(41171107);中央高校基本科研业务费专项资金项目(2682014CX102,2682013BR020);四川省软科学研究计划项目(2014ZR0065,2014ZR0032)
作者简介: 李国旗(1984-),男,江西南昌人,讲师,博士,在站博士后,主要研究方向为物流系统规划与设计、交通物流地理,E-mailguoqi_li@126.com。
引用本文:   
李国旗,金凤君,陈娱,刘思婧. 基于物流热度的中国物流业空间格局[J]. 地理科学进展, 2015, 34(5): 629-637.
Guoqi LI,Fengjun JIN,Yu CHEN,Sijing LIU. Spatial patterns of logistics industry based on a geographic analysis of hotness degree. PROGRESS IN GEOGRAPHY, 2015, 34(5): 629-637.
链接本文:  
http://www.progressingeography.com/CN/10.11820/dlkxjz.2015.05.011      或      http://www.progressingeography.com/CN/Y2015/V34/I5/629
Fig.1  物流热度的关联指标体系
城市 物流热度 经济总量 常住人口 城市 物流热度 经济总量 常住人口 城市 物流热度 经济总量 常住人口
哈尔滨 41.86 29.98 27.76# 银川 46.67 49.16 31.62 宁波* 24.7 18.99 13.95
通辽* 15.88 10.65 12.64# 西宁 73.04 44.94 39.21 长沙 37.94 28.89 10.77
乌鲁木齐 32.71 26.58 14.97# 青岛* 20.20 14.60 9.16 南昌 24.79 23.17 11.39
长春 47.78 37.32 27.95** 拉萨 56.10 37.10 18.58# 昆明 46.88 29.21 14.02
沈阳 33.43 22.66 18.75 郑州 31.02 18.75 9.60 贵阳 36.99 24.81 12.78
兰州 34.57 27.68 14.12# 苏州* 18.20 22.22 13.32 厦门* 31.77 14.30 9.79
保定* 18.51 10.50 15.57# 合肥 29.05 24.19 12.65 南宁 31.20 19.20 14.50
太原 29.00 19.08 11.79 成都 50.16 34.09 17.56 广州 25.39 23.75 12.12
西安 48.52 30.21 22.79 武汉 48.75 35.97 17.51 海口 54.86 28.67 24.14
Tab.1  基于物流热度的中心城市的物流、经济、人口首位度/%
Fig.2  地级市尺度的物流热度分布格局
Fig.3  省域尺度的物流热度空间分布格局
相关系数 P 标准误差 相关系数 P 标准误差
X1 0.9270 <0.0001 910.679 X6 0.8194 <0.0001 1391.790
X2 0.4631 0.0087 2151.779 X7 0.6149 0.0002 1914.555
X3 0.9302 <0.0001 891.010 X8 0.4787 0.0064 2131.502
X4 0.8040 <0.0001 1443.656 X9 0.2925 0.1103 2321.605
X5 0.9281 <0.0001 903.672 - - - -
Tab.2  物流热度与主要关联指标的相关系数
Fig.4  基于物流热度的城市群物流服务类型与协调关系分区
Fig.5  中国各经济区物流园区分布格局演变图
2006 2008 2012
总量 运营 建设 规划 总量 运营 建设 规划 总量 运营 建设 规划
东北经济区 21 4 12 5 48 18 24 6 56 26 23 7
北部沿海经济区 28 10 8 10 67 22 29 16 128 88 35 5
东部沿海经济区 52 11 11 30 97 32 41 24 93 65 14 14
南部沿海经济区 36 8 9 19 96 25 31 40 83 52 25 6
西南经济区 17 3 8 8 56 3 36 17 98 28 41 29
西北经济区 13 1 1 11 21 3 8 10 64 14 25 25
黄河中游经济区 21 6 7 8 47 7 25 15 93 35 47 11
长江中游经济区 17 7 9 1 43 12 25 6 139 40 31 68
相关系数 0.93 0.87 0.52 0.79 0.93 0.82 0.84 0.67 0.29 0.81 -0.32 0.64
Tab.3  分经济区物流园区数量与物流热度的相关性
1 卞文良, 鞠颂东, 耿勇. 2010. 国家物流业竞争力分析与评价[J]. 北京交通大学学报: 社会科学版, 9(3): 30-36. [Bian W L, Ju S D, Geng Y. 2010. Analysis and evaluation of national logistics competitiveness[J]. Journal of Beijing Jiaotong University: Social Sciences Edition, 9(3): 30-36.]
2 曹卫东. 2011. 城市物流企业区位分布的空间格局及其演化: 以苏州市为例[J]. 地理研究, 30(11): 1998-2007. [Cao W D. 2011. Spatial pattern and location evolution of urban logistics enterprise: taking Suzhou as an example[J]. Geographical Research, 30(11): 1998-2007.]
3 龚梦, 祁春节. 2013. 城市物流网络空间布局规划研究: 以江苏省为例[J]. 城市发展研究, 20(1): 42-48. [Gong M, Qi C J. 2013. Design on logistics network and nodes layout of cities in Jiangsu Province[J]. Urban Development Studies, 20(1): 42-48.]
4 韩增林, 李晓娜. 2007. 第三方物流企业的区位影响因素研究[J]. 地域研究与开发, 26(2): 16-25. [Han Z L, Li X N. 2007. Position influencing factors of third-party logistics enterprise[J]. Areal Research and Development, 26(2): 16-25.]
5 韩增林, 李亚军, 王利. 2003. 城市物流园区及配送中心布局规划研究: 以大连市物流园区建设规划为例[J]. 地理科学, 23(5): 535-541. [Han Z L, Li Y J, Wang L. 2003. Research on the layout and planning of distribution Park in city: a case of Dalian[J]. Scientia Geographica Sinica, 23(5): 535-541.]
6 韩增林, 王成金. 2002. 我国物流地理学的兴起与发展探讨[C]//陆大道. 中国地理学会2000-2002年综合学术年会论文集. 北京: 商务印书馆: 399-410. [Han Z L, Wang C J. 2002. The rise and development of logistics geography in China[C]//Lu D D. The proceedings of academic annual conference of the geographical society of China in 2000-2002. Beijing, China: the Commercial Press: 399-410. ]
7 韩增林, 王成金, 尤飞. 2002. 我国物流业发展与布局的特点及对策探讨[J]. 地理科学进展, 21(1): 81-90. [Han Z L, Wang C J, You F. 2002. The characters of the development and distribution about chinese logistics and the discussion of the developing measures[J]. Progress in Geography, 21(1): 81-90.]
8 雷仲敏, 康俊杰. 2010. 城市首位度评价: 理论框架与实证分析[J]. 城市发展研究, 17(4): 33-38. [Lei Z M, Kang J J. 2010. Evaluation theory of urban primacy: theoretical framework and empirical analysis[J]. Urban Development Studies, 17(4): 33-38.]
9 吕拉昌, 闫小培. 2003. 现代物流经济与经济地理学[J]. 地域研究与开发, 22(2): 5-7. [Lv L C, Yan X P. 2003. Modern physical attribution and economic[J]. Areal Research and Development, 22(2): 5-7.]
10 卢学法, 申绘芳. 2008. 杭州城市首位度的现状及对策研究[J]. 浙江统计, (6): 32-33. [Lu X F, Sheng H F. 2008. The present situation and countermeasures of urban primacy in Hangzhou[J]. Zheng Jiang Statistics, (6): 32-33.]
11 王成金. 2008. 中国物流企业的空间组织网络[J]. 地理学报, 63(2): 135-146. [Wang C J. 2008. Spatial organizational network of logistics company in China[J]. Acta Geographica Sinica, 63(2): 135-146.]
12 王成金. 2014. 物流企业的空间网络模式与组织机理[M]. 北京: 科学出版社. [Wang C J. 2014. Space network mode and organization mechanism of logistics enterprises[M]. Beijing, China: Science Press.]
13 王成金, 张梦天. 2014. 中国物流企业的布局特征与形成机制[J]. 地理科学进展, 33(1): 134-144. [Wang C J, Zhang M T. 2014. Spatial pattern and its mechanism of modern logistics companies in China[J]. Progress in Geography, 33(1): 134-144.]
14 郁玉兵, 熊伟, 曹言红. 2013. 城市物流质量评价与空间结构优化: 以浙江省为例[J]. 经济问题探索, (3): 62-68. [Yu Y B, Xiong W, Cao Y H. 2013. Urban logistics quality evaluation and spatial structure optimization: a case of Zhejiang[J]. Inquiry into Economic Issues, (3): 62-68.]
15 Cidell J. 2010. Concentration and decentralisation: the new geography of freight distribution in U. S. metropolitan areas[J]. Journal of Transport Geography, 18(3): 363-371.
16 Dablanc L, Rakotonarivo D. 2010. The impacts of logistic sprawl: how does the location of parcel transport terminals affect the energy efficiency of goods' movements in Paris and what can we do about it[J]. Procedia Social and Behavioral Sciences, 2(3): 6087-6096.
17 Hesse M, Rodrigue J P. 2004. The transport geography of logistics and freight distribution[J]. Journal of Transport Geography, 12(3): 171-184.
18 Hong J J, Liu B L. 2007. Logistics development in China: a provider perspective[J]. Transportation Journal, 46(2): 55-65.
19 Jefferson M. 1939. The law of the primate city[J]. Geographical Review, 29(2): 226-232.
20 Knowles R D. 2006. Transport shaping space: differential collapse in time-space[J]. Journal of Transport Geography, 14(6): 407-425.
21 O'Connor K. 2010. Global city regions and the location of logistics activity[J]. Journal of Transport Geography, 18(3): 354-362.
22 Rivera L, Sheffi Y, Welsch P. 2014. Logistics agglomeration in the US[J]. Transportation Research Part A: Policy and Practice, 59: 222-238.
23 Rodrigue J P, Comtois C, Slack B. 2013. The geography of transport systems: 3rd Ed.[M]. New York, NY: Routledge.
24 Van Den Heuvel F P, De Langen P W, Van Donselaar K H, et al.2013. Spatial concentration and location dynamics in logistics: the case of a Dutch Province[J]. Journal of Transport Geography, 28: 39-48.
25 Woudsma C, Jensen J F, Kanaroglou P, et al.2008. Logistics landuse and the city: a spatial-temporal modeling approach[J]. Transportation Research Part E: Logistics and Transportation Review, 44(2): 277-297.
26 注:*表示非省会城市;**表示第六次人口普查数据;#表示2011年数据.
[1] 王姣娥,王涵,焦敬娟. “一带一路”与中国对外航空运输联系[J]. 地理科学进展, 2015, 34(5): 554-562.
[2] 何孝沛, 梁阁, 丁志伟, 王发曾. 河南省城镇化质量空间格局演变[J]. 地理科学进展, 2015, 34(2): 257-264.
[3] 陈肖飞, 张落成, 姚士谋. 基于新经济地理学的长三角城市群空间格局及发展因素[J]. 地理科学进展, 2015, 34(2): 229-236.
[4] 廖华军, 李国胜, 王少华, 崔林林, 欧阳宁雷, . 近30年苏北滨海滩涂湿地演变特征与空间格局[J]. 地理科学进展, 2014, 33(9): 1209-1217.
[5] 罗奎, 方创琳, 马海涛. 中国城市化与非农就业增长的空间格局及关系类型[J]. 地理科学进展, 2014, 33(4): 457-466.
[6] 王琨, 郭风华, 李仁杰, 傅学庆. 基于Tripadvisor 的中国旅游地国际关注度及空间格局[J]. 地理科学进展, 2014, 33(11): 1462-1473.
[7] 鲍超, 陈小杰. 中国城市体系的空间格局研究评述与展望[J]. 地理科学进展, 2014, 33(10): 1300-1311.
[8] 潘少奇, 李亚婷, 高建华. 中原经济区经济联系网络空间格局[J]. 地理科学进展, 2014, 33(1): 92-101.
[9] 冯长春, 丰学兵, 刘思君. 高速铁路对中国省际可达性的影响[J]. 地理科学进展, 2013, 32(8): 1187-1194.
[10] 高超, 金凤君, 傅娟, 刘鹤. 1996-2011 年南非人口空间分布格局与演变特征[J]. 地理科学进展, 2013, 32(7): 1167-1176.
[11] 王情, 刘雪华, 吕宝磊. 基于SPOT-VGT数据的流域植被覆盖动态变化及空间格局特征——以淮河流域为例[J]. 地理科学进展, 2013, 32(2): 270-277.
[12] 鲁丰先, 张艳, 秦耀辰, 陈真玲, 王光辉. 中国省级区域碳源汇空间格局研究[J]. 地理科学进展, 2013, 32(12): 1751-1759.
[13] 曾春水, 蔺雪芹, 王开泳, 柳坤, 王婷. 中国八大经济区工业竞争力空间格局及投入产出分析[J]. 地理科学进展, 2012, 31(8): 1005-1012.
[14] 宋志军, 刘黎明. 1988 年以来北京郊区城乡一体化进程及启示[J]. 地理科学进展, 2012, 31(8): 1071-1079.
[15] 马颖忆, 陆玉麒, 张莉. 江苏省人口空间格局演化特征[J]. 地理科学进展, 2012, 31(2): 167-175.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
版权所有 © 地理科学进展
技术支持: 北京玛格泰克科技发展有限公司