摘要
基于2010—2014年省域物流产值的数据,利用空间统计分析和空间计量分析方法,对我国省域物流发展差异影响因素进行空间相关性分析。研究结果表明,我国省域物流之间具有明显的空间正相关性以及空间集聚性,而且空间集聚区位优势比较明显。同时从空间影响因素的分析可以看出,固定资产的投资对物流产业的发展影响最为明显,依次为货物周转量、邮电业务量和物流从业人数。协调我国省域物流产业的发展,应加强区域之间的合作,合理规划,提高资源利用率,不断加强基础设施建设,缩小区域差距;同时积极引进人才和培育人才,实现物流产业的长远持续发展。
Based on the data of provincial logistics output value from 2010 to 2014, and using the methods of spatial statistical analysis and spatial econometric analysis, this paper conducted a spatial correlation analysis on the determinants of development differences between provincial logistics. The result shows a significant positive correlation and spatial clustering concerning the developmental differences of provincial logistics, and influence of the locational advantages are notable for spatial ag glomeration. The analysis on spatial determinants also shows that the investment on fixed assets has the most obvious effect on the development of logistics industry, which are the turnover of freight traffic, the volume of posts and telecommunications business and the number of logistics employees in turn. To coordinate the development between different provincial logistics industry in China, provincial governments should strengthen regional cooperation, make sensible planning, improve the utilization ratio of resources, strengthen infrastructure construction to narrow the gap between differ ent regional logistics industry; meanwhile, they should actively intraduce and cultivate high quality talent so as to achieve long term sustainable development of logistics industry.
作者
刘广东
杨天剑
张雪梅
郇红艳
LIU Guang -don1,2 ,YANG Tian -jian1 ,ZHANG Xue- mei, HUAN Hong -yan2(1.College of Economics Management, Beijing University of Posts and Tclecommunications, Beijing 100876, China; 2. College of Prosiness, Fuyang Normal University,Logistics Key Laboratory of Anhui Provincc, Fuyang Anhui 236037, Chin)
出处
《北京交通大学学报（社会科学版）》
2018年第3期93-100,共8页
Journal of Beijing Jiaotong University(Social Sciences Edition)
基金
安徽省高校省级自然科学重大项目“电子商务背景下服务产品和渠道的联合决策研究”(SK2016SD46)
安徽省高校自然科学重点项目“低碳背景下物流服务供应链合作机制研究”(KJ2017A336)
安徽省物流重点实验室委托专项“农产品物流能力提升研究”(2015WLGH03)
关键词
空间统计分析
空间计量模型
空间相关性
物流产业
spatial statistical analysis
spatial econometric model
spatial correlation
logistics industry
