«上一篇/Previous Article|本期目录/Table of Contents|下一篇/Next Article»

《长安大学学报（社科版）》[ISSN:1671-6248/CN:61-1391/C]

卷:

第24卷

期数:

2022年02期

页码:

78-89

栏目:

交通运输

出版日期:

2022-05-20

文章信息/Info

Title:

Spatial structure evolution and its influencing factors of China's provincial logistics informatization level

文章编号:

1671-6248(2022)02-0078-12

作者:

马飞¹; 崔睿颖²; 孙启鹏¹; 赵成勇²; 蔡鑫¹; 孙颖¹; 刘屹东³

(1. 长安大学 经济与管理学院,陕西 西安 710064; 2. 长安大学 运输工程学院,陕西西安 710064; 3. 加拿大圣玛丽大学 商学院,新斯科舍省 哈利法克斯 B3H3C3)

Author(s):

MA Fei¹;  CUI Ruiying²;  SUN Qipeng¹;  ZHAO Chengyong²;  CAI Xin¹; SUN Ying¹;  LIU Yidong³

(1. School of Economics and Management, Chang'an University, Xi'an 710064, Shaanxi, China; 2. School of Transportation Engineering,Chang'an University, Xi'an 710064, Shaanxi, China; 3. School of Business, Saint Mary's University, Halifax B3H3C3, Nova Scot

关键词:

物流信息化;  物流强国;  空间结构演化;  QAP分析;  智能物流

Keywords:

logistics informatization;  logistics-strong country;  spatial structure evolution;  QAP analysis;  intellingent logistics

分类号:

F259.2; F49

DOI:

-

文献标志码:

A

摘要:

物流信息化水平空间结构演化研究对统筹物流业发展、构建布局合理的物流体系具有重要意义。通过构建中国省域物流信息化水平评价指标体系,运用熵值法测算指标权重,进一步加权计算2013—2018年物流信息化综合指数,从全国、省域两个视域对中国物流信息化水平进行测度; 利用标准差椭圆、探索性空间数据分析方法分析中国省域物流信息化水平空间结构演化特征; 利用修正后的引力模型确定中国省域物流信息化空间关联关系,通过QAP分析其影响因素。研究认为:中国省域物流信息化水平逐年增长,地区间非均衡性增强; 中国省域物流信息化水平空间结构呈“东(偏北)-西(偏南)”格局,存在正向空间自相关关系,且相关性逐渐弱化,高值集聚和低值集聚的同质性现象占主导地位,空间异质性现象增强; QAP分析显示,空间地理位置、城镇化水平、区域创新水平、区域开放水平对物流信息化发展具有显著促进作用。

Abstract:

The study on the evolution of the spatial structure of logistics informatization level is crucial to coordinating the development of logistics industry and building a logistics system with a reasonable layout. This paper measures the level of logistics informatization in China from the national and provincial perspectives, by constructing an index system for evaluating the level of logistics informatization in China's provinces, applying the entropy value method to measure the index weights, and further weighting the comprehensive index of logistics informatization from 2013 to 2018. The Standard Deviational Ellipse and exploratory spatial data analysis methods are used to analyze the spatial structure evolution characteristics of China's provincial logistics informatization level. The modified gravity model is used to determine the spatial correlation of China's provincial logistics informatization, and the influencing factors are analyzed by QAP. The results show that: the level of logistics informatization in China's provinces is growing year by year, and the non-equilibrium between regions is increasing; the spatial structure of the level of logistics informatization in China's provinces has an “east(northward)-west(southward)” pattern, with positive spatial autocorrelation, and the correlation is gradually weakening, while the phenomenon of homogeneity of high-value agglomeration and low-value agglomeration dominates, and the phenomenon of spatial heterogeneity is enhanced; QAP analysis shows that the spatial geographic location, urbanization level, regional innovation level and regional openness level have a significant role in promoting the development of logistics informatization.

参考文献/References:

[1] LI X,LV F,XIANG F,et al.Research on key technologies of logistics information traceability model based on consortium chain[J].IEEE access,2020(8):69754-69762.
[2]CAO X,LI T,WANG Q.RFID-based multi-attribute logistics information processing and anomaly mining in production logistics[J].International journal of production research,2019,57(17):5453-5466.
[3]王小建,王建伟.物流信息化评价指标体系与评价方法研究[J].铁道运输与经济,2009,31(10):70-74.
[4]DANIEL P,JAN O.Supply chain integration and performance:the effects of long-term relationships,information technology and sharing,and logistics integration[J].International journal of production economics,2012,135(1):514-522.
[5]BARBARA D.Success factors for information logistics strategy—an empirical investigation[J].Decision support systems,2013,54(3):1207-1218.
[6]VOLKER F,FRANK T.Information and communication technology in green logistics:status quo and research gaps[J].Management review quarterly,2017,67(2):65-96.
[7]LI X.Contemporary logistics in China[M].Singapore:Springer Nature,2018.
[8]ZHANG H,ZHANG X,GU F.Research on the construction of logistics informatization evaluation system for large state-owned energy enterprises[J].IOP conference series materials science and engineering,2019,612:42-48.
[9]GAO J.Performance evaluation of manufacturing collaborative logistics based on BP neural network and rough set[J].Neural computing and applications,2021,33(2):739-754.
[10]KIRCH M,POENICKE O,RICHTER K.RFID in logistics and production-applications,research and visions for smart logistics zones[J].Procedia engineering,2017,178:526-533.
[11]RIVERA L,SHEFFI Y,WELSCH R.Logistics agglomeration in the U.S.[J].Transportation research part A:policy and practice,2014,59:222-238.
[12]SAKAI T,KAWAMURA K,HYODO T.Locational dynamics of logistics facilities:evidence from Tokyo[J].Journal of transport geography,2015,46:10-19.
[13]KUMAR I,ZHALNIN A,KIM A,et al.Transportation and logistics cluster competitive advantages in the U.S.regions:a cross-sectional and spatio-temporal analysis[J].Research in transportation economics,2016(61):102-114.
[14]沈玉芳,王能洲,马仁锋,等.长三角区域物流空间布局及演化特征研究[J].经济地理,2011,31(4):618-623.
[15]CUI Y,SONG B.Logistics agglomeration and its impacts in China[J].Transportation research procedia,2017,25:3875-3885.
[16]HE M,SHEN J,WU X,et al.Logistics space:a literature review from the sustainability perspective[J].Sustainability,2018,10(8):1-24.
[17]ALJOHANI K,THOMPSON R.Impacts of logistics sprawl on the urban environment and logistics:taxonomy and review of literature[J].Journal of transport geography,2016,57(12):255-263.
[18]JABEUR N,AL-BELUSHI T,MBARKI M,et al.Toward leveraging smart logistics collaboration with a multi-agent system based solution[J].Procedia computer science,2017,109:672-679.
[19]GREGOR T,KRAJCOVIC M,WIECEK D.Smart connected logistics[J].Procedia engineering,2017,192(7):265-270.
[20]宓泽锋,曾刚.不同尺度下长江经济带物流联系格局、特征及影响因素研究[J].地理科学,2018,38(7):1079-1088.
[21]宋周莺,刘卫东.中国信息化发展进程及其时空格局分析[J].地理科学,2013,33(3):257-265.
[22]闫超栋,马静.中国省际信息化的空间关联及其影响因素分析[J].情报科学,2017,35(6):145-153.
[23]ZHAO J,JI G,TIAN Y,et al.Environmental vulnerability assessment for mainland China based on entropy method[J].Ecological indicators,2018,91:410-422.
[24]LEVY R,LEBLANC J P F,GULL E.Implementation of the maximum entropy method for analytic continuation[J].Computer physics communications,2017,215:149-155.
[25]YUILL.The standard deviational ellipse:an updated tool for spatial description[J].Geografiska annaler series B human geography,1971,53(1):28-39.
[26]RAHMAN M,YANG R,DI L.Clustering Indian Ocean tropical cyclone tracks by the standard deviational ellipse[J].Climate,2018,6(2):39.
[27]ERYANDO T,SUSANNA D,PRATIWI D,et al.Standard deviational ellipse(SDE)models for malaria surveillance,case study:sukabumi district-indonesia,in 2012[J].Malaria journal,2012,11(1):130.
[28]FEOLA G,BUTT A.The diffusion of grassroots innovations for sustainability in Italy and Great Britain:an exploratory spatial data analysis[J].The geographical journal,2017,183(1):16-33.
[29]SALVATI L,VENANZONI G,SERRA P,et al.Scattered or polycentric? untangling urban growth in three Southern European metropolitan regions through exploratory spatial data analysis[J].The annals of regional science,2016,57(1):1-29.
[30]董大伟.基于计算机网络技术的物流信息化建设[J].物流技术,2013,32(21):461-463.
[31]杨慧瀛,杨宏举.我国物流业信息化水平测度及区域差异[J].商业经济研究,2021(13):98-102.
[32]徐婧,闫建朝,李玮.物流企业信息化建设测度的综合评价模型构建[J].科技资讯,2015,13(26):82-83.
[33]李敬,陈澍,万广华,等.中国区域经济增长的空间关联及其解释——基于网络分析方法[J].经济研究,2014,49(11):4-16.
[34]张德钢,陆远权.中国碳排放的空间关联及其解释——基于社会网络分析法[J].软科学,2017,31(4):15-18.
[35]宋林,谢伟,郑雯.“一带一路”战略背景下我国对外直接投资的效率研究[J].西安交通大学学报(社会科学版),2017,37(4):45-54.
[36]王东方,董千里.中国城市物流发展空间结构演化及影响因素[J].北京交通大学学报(社会科学版),2019,18(4):125-139.
[37]马远,徐俐俐.丝绸之路经济带沿线国家石油贸易网络结构特征及影响因素[J].国际贸易问题,2016(11):31-41.
[38]曹允春,罗雨.空港型国家物流枢纽承载城市航空物流关联程度及其网络结构研究[J].技术经济,2020,39(8):174-182,190.
[39]唐建荣,倪攀,李晨瑞.长江经济带物流网络结构演变特征及影响因素分析[J].华东经济管理,2019,33(8):60-66.

相似文献/References:

[1]董千里,路春涛,张凯.陕西省区域物流信息化战略及其实施[J].长安大学学报(社科版),2006,8(03):8.
　DONG Qian-li,LU Chun-tao,ZHANG Kai.Informationization strategy of the regional logistics and its implementation in Shaanxi Province[J].Journal of Chang＇an University(Social Science Edition),2006,8(02):8.

备注/Memo

备注/Memo:

收稿日期:2021-12-28
基金项目:国家社会科学基金项目(18BGL258); 西安市社会科学基金项目(22GL89); 陕西省自然科学基础研究计划项目(2022JM-423); 陕西省教育厅重点科学研究计划项目(21JP007,20JZ015); 西安市未央区科技计划项目(202023)
作者简介:马飞(1979-),男,陕西咸阳人,教授,博士研究生导师,管理学博士。

常用功能

更新日期/Last Update: 2022-05-20