周广亮, 吴明.中原城市群物流业发展水平时空分异及影响因素分析[J].河南理工大学学报（自然科学版）,2021,40(5):90-98.

ZHOU G L, WU M.Analysis of spatial-temporal differentiation and influencing factors of logistics industry development level in the Central Plains Urban Agglomeration[J].Journal of Henan Polytechnic University(Natural Science) ,2021,40(5):90-98.

中原城市群物流业发展水平时空分异及影响因素分析

周广亮, 吴明

郑州轻工业大学 经济与管理学院，河南 郑州450002

摘要:为研究中原城市群物流业发展水平，基于2007，2012，2017年中原城市群市级数据，借助 ArcGIS平台，利用探索性空间数据测算30个地级市物流业发展水平和分析其时空演化特征，并通过GWR模型探究了物流业影响因素的空间差异性。结果表明：（1）中原城市群市域间物流业发展水平差距有缩小趋势，并随着时间演化推移呈“东北—西南对称发展”的空间特征； （2）物流业发展呈显著的空间正相关，且冷热点空间差异明显；（3）经济发展水平、对外开放程度、信息化水平与物流业发展显著正相关，而人力资本水平则在部分市域呈负相关特征，且各影响因素对物流业发展的作用效应均表现出空间异质性。

关键词:物流业;地理加权回归;影响因素;空间异质性;中原城市群

doi:10.16186/j.cnki.1673-9787.2020050055

基金项目:国家自然科学基金资助项目（71803181）；国家社会科学基金资助项目（19FCLBO62）；河南省教育厅人文社科项目（2019.

收稿日期:2020/05/19

修回日期:2020/08/18

出版日期:2021/09/15

Analysis of spatial-temporal differentiation and influencing factors of logistics industry development level in the Central Plains Urban Agglomeration

ZHOU Guangliang, WU Ming

School of Economics and Management， Zhengzhou University of Light Industry， Zhengzhou 450002 ， Henan， China

Abstract:In order to study the development status of logistics industry in Central Plains Urban Agglomeration， based on the data of the cities in the Central Plains Urban Agglomeration in 2007 ，2012 and 2017， the development level of logistics industry in 30 prefecture level was measured cities with the help of Arc CIS platform， and its spatial-temporal evolution characteristics were analyzed by using exploratory spatial data. The spatial differences of influencing factors of logistics industry were explored through GWR Model. The results showed that the development gap of logistics industry between the cities in the Central Plains Urban Agglomeration tended to narrow， and showed the spatial characteristics of Northeast-Southwest symmetry development with the evolution of time. The development of logistics industry had a significant positive correlation with space， and the spatial difference between cold spot area and hot spot area was obvious. The development level of economy， the degree of opening up and the level of informatization were significantly positively correlated with the development of the logistics industry， while the level of human capital was negatively correlated in some cities， and the effects of various influencing factors on the development of logistics industry showed spatial heterogeneity.

Key words:logistics industry;GWR;influencing factor;spatial heterogeneity;Central Plains Urban Agglomeration

 中原城市群物流业发展水平时空分异及影响因素分析_周广亮.pdf