北京物流企业空间布局演化及影响因素分析
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摘要
以北京物流企业为研究对象,借助GIS空间分析方法和面板数据模型,对1996—2016年北京物流企业的空间分布及其影响因素进行分析。结果表明:北京物流企业始终为集聚分布,集聚程度先增后减,物流企业逐渐远离城六区向城市郊区扩散,集聚情况由"单核"向"双核"再向"三核"发展,同时热点地区逐渐增多并且向外扩散,但每个地区集聚程度有所下降,存在物流企业在城市中均匀分布的趋势。经济发展水平、对外开放程度、政府支出、工业发展水平、居民需求和收入水平对北京物流企业空间分布的影响为正,工资水平的影响为负;并将北京物流企业进行分类,对各类物流企业布局影响因素进行分析与比较,给出了有针对性的建议。
Based on the GIS spatial analysis method and the panel data model, the spatial distribution and their main factors of logistics enterprises in Beijing throughout 1996 to 2016 were analyzed. The results show the logistics enterprises in Beijing are always clustering and the degree of agglomeration increases first and then decreases. Meanwhile, the logistics enterprises are gradually moving away from the six districts of the city and spreading to suburbs. Agglomeration situation develops from "single core" to "dual core", and then to "three core". Moreover, when the hot spots gradually increased and spread out, the concentration of each region is declined, which indicates that logistics enterprises are evenly distributed in the city. In addition, economic development level, openness degree, government expenditure, industrial development level, residents demand and income level promote spatial distribution of logistics enterprises in Beijing, and the influence of the wage level is negative. At the same time, classify the logistics enterprises in Beijing to analyze the factors of various logistics enterprises.
Based on the GIS spatial analysis method and the panel data model, the spatial distribution and their main factors of logistics enterprises in Beijing throughout 1996 to 2016 were analyzed. The results show the logistics enterprises in Beijing are always clustering and the degree of agglomeration increases first and then decreases. Meanwhile, the logistics enterprises are gradually moving away from the six districts of the city and spreading to suburbs. Agglomeration situation develops from "single core" to "dual core", and then to "three core". Moreover, when the hot spots gradually increased and spread out, the concentration of each region is declined, which indicates that logistics enterprises are evenly distributed in the city. In addition, economic development level, openness degree, government expenditure, industrial development level, residents demand and income level promote spatial distribution of logistics enterprises in Beijing, and the influence of the wage level is negative. At the same time, classify the logistics enterprises in Beijing to analyze the factors of various logistics enterprises.
引文
[1] 张晓磊.基于GIS的城市商贸物流配送系统构建与优化[D].桂林:桂林理工大学,2009.
[2] 张晓涛,李芳芳.北京市物流业集聚区空间分布演变[J].城市问题,2014(3):44-48.
[3] 翁钢民,杜梅.基于ESDA的京津冀区域物流空间布局演化研究[J].企业经济,2014(3):151-155.
[4] 王成金,张梦天.中国物流企业的布局特征与形成机制[J].地理科学进展,2014,33(1):134-144.
[5] 朱胜清.上海城市物流空间演化与机制研究[D].芜湖:安徽师范大学,2014.
[6] 蒋天颖,史亚男.宁波市物流企业空间格局演化及影响因素[J].经济地理,2015,35(10):130-138.
[7] 崔园园,宋炳良.长三角区域物流空间演化与影响因素分析[J].华中师范大学学报(自然科学版),2015,49(2):302-306,313.
[8] 钟昌宝,钱康.长江经济带物流产业集聚及其影响因素研究:基于空间杜宾模型的实证分析[J].华东经济管理,2017,31(5):78-86.
[9] 刘培刚.物流产业集群空间模式研究[D].西安:长安大学,2012.
[10] 孟银娥.北京市中心体系职能类别及空间结构分析[J].价值工程,2010,29(4):184.
[11] 孙前进,北京物流基地分布及功能定位浅析[J].商业时代,2011,25:39-40.
[12] 张艳艳.北京市城市物流节点空间演化及趋势研究[D].北京:北京交通大学,2017.
[13] 武富庆,李巍巍,吴冲,等.基于面板数据物流产业集聚对产业结构贡献实证分析:以黑龙江省为例[J].北京交通大学学报(社会科学版),2015,14(3):70-76.
[14] RIVERA L, SHEFFI Y, WELSCH R. Logistics agglomeration in the US[J].Transportation Research Part A,2014,59:222-238.
[15] 李国旗,金凤君,陈娱,等.基于POI的北京物流业区位特征与分异机制[J].地理学报,2017,72(6):1091-1103.
[16] 张永仲,白劲宇.公共物流区空间规划探析:以北京公共物流区空间规划研究为例[J].城市规划,2010,(11):31-34,39.
[17] ZHANG Z.Analysis on the spatial distribution of logistics industry in south China[C]//2011 Fourth International Symposium on Knowledge Acquisition and Modeling.Yangzhou, Jiangsu, China:Institute of Electrical and Electronics Engineers,2011:54-56.
[18] 丁俊发.改革开放40年中国物流业发展与展望[J].中国流通经济,2018,32(4):3-17.
[19] 高秀丽.物流业与区域经济协调发展研究[D].广州:华南理工大学,2013.
[20] 王琛.城市物流枢纽空间布局方法的实证研究[D].北京:北京交通大学,2016.
[21] 张宝友,朱卫平,孟丽君.物流产业效率评价及与FDI质量相关性分析:基于2002—2011年数据的实证[J].经济地理,2013,33(1):105-111,125.
[22] 陈恒,魏修建,杜勤.“一带一路”物流业发展驱动因素的动态轨迹演变:基于劳动力投入的视角[J].上海财经大学学报,2015,17(2):31-43.
[23] 宋则.“十三五”期间促进我国现代物流业健康发展的若干要点[J].财贸经济,2015(7):5-14.
[24] 张竟成,张竟轶.基于VAR模型的物流产业与区域经济长期关系研究[J].管理世界,2017(8):180-181.
[25] 王春豪,张杰,丁阳.中国区域公路物流效率差异及其影响因素研究[J].数理统计与管理,2018,37(3):318-328.
[2] 张晓涛,李芳芳.北京市物流业集聚区空间分布演变[J].城市问题,2014(3):44-48.
[3] 翁钢民,杜梅.基于ESDA的京津冀区域物流空间布局演化研究[J].企业经济,2014(3):151-155.
[4] 王成金,张梦天.中国物流企业的布局特征与形成机制[J].地理科学进展,2014,33(1):134-144.
[5] 朱胜清.上海城市物流空间演化与机制研究[D].芜湖:安徽师范大学,2014.
[6] 蒋天颖,史亚男.宁波市物流企业空间格局演化及影响因素[J].经济地理,2015,35(10):130-138.
[7] 崔园园,宋炳良.长三角区域物流空间演化与影响因素分析[J].华中师范大学学报(自然科学版),2015,49(2):302-306,313.
[8] 钟昌宝,钱康.长江经济带物流产业集聚及其影响因素研究:基于空间杜宾模型的实证分析[J].华东经济管理,2017,31(5):78-86.
[9] 刘培刚.物流产业集群空间模式研究[D].西安:长安大学,2012.
[10] 孟银娥.北京市中心体系职能类别及空间结构分析[J].价值工程,2010,29(4):184.
[11] 孙前进,北京物流基地分布及功能定位浅析[J].商业时代,2011,25:39-40.
[12] 张艳艳.北京市城市物流节点空间演化及趋势研究[D].北京:北京交通大学,2017.
[13] 武富庆,李巍巍,吴冲,等.基于面板数据物流产业集聚对产业结构贡献实证分析:以黑龙江省为例[J].北京交通大学学报(社会科学版),2015,14(3):70-76.
[14] RIVERA L, SHEFFI Y, WELSCH R. Logistics agglomeration in the US[J].Transportation Research Part A,2014,59:222-238.
[15] 李国旗,金凤君,陈娱,等.基于POI的北京物流业区位特征与分异机制[J].地理学报,2017,72(6):1091-1103.
[16] 张永仲,白劲宇.公共物流区空间规划探析:以北京公共物流区空间规划研究为例[J].城市规划,2010,(11):31-34,39.
[17] ZHANG Z.Analysis on the spatial distribution of logistics industry in south China[C]//2011 Fourth International Symposium on Knowledge Acquisition and Modeling.Yangzhou, Jiangsu, China:Institute of Electrical and Electronics Engineers,2011:54-56.
[18] 丁俊发.改革开放40年中国物流业发展与展望[J].中国流通经济,2018,32(4):3-17.
[19] 高秀丽.物流业与区域经济协调发展研究[D].广州:华南理工大学,2013.
[20] 王琛.城市物流枢纽空间布局方法的实证研究[D].北京:北京交通大学,2016.
[21] 张宝友,朱卫平,孟丽君.物流产业效率评价及与FDI质量相关性分析:基于2002—2011年数据的实证[J].经济地理,2013,33(1):105-111,125.
[22] 陈恒,魏修建,杜勤.“一带一路”物流业发展驱动因素的动态轨迹演变:基于劳动力投入的视角[J].上海财经大学学报,2015,17(2):31-43.
[23] 宋则.“十三五”期间促进我国现代物流业健康发展的若干要点[J].财贸经济,2015(7):5-14.
[24] 张竟成,张竟轶.基于VAR模型的物流产业与区域经济长期关系研究[J].管理世界,2017(8):180-181.
[25] 王春豪,张杰,丁阳.中国区域公路物流效率差异及其影响因素研究[J].数理统计与管理,2018,37(3):318-328.