摘要
伴随着经济的发展、政策的促进,中国物流整体效率和各省级物流效率显著提升。以30个省级数据为样本,基于数据包络分析方法计算各省级物流业效率,应用组态思维的定性比较分析方法研究影响物流业效率提升的因素,探讨这些因素作用于中国物流业效率的因果复杂机制和路径。结果发现:(1)2015年以来的三年中,中国物流业发展形成两条高效率路径。其中管理开放型路径覆盖率较高,物流企业经营管理水平和区域的开放程度是物流业效率提升的核心因素;科技创新型路径覆盖案例较少,R&D投入、经济环境或开放程度是这条路径的核心要素。(2)符合非对称性特征,非高效率路径和高效率路径不具有对称性,覆盖率较高的一条非高效率路径中,非高的GDP和政府支持是导致物流业非高效率的核心因素,称之为政策依赖型路径。
With the development of economy and the promotion of policies,the overall efficiency of logistics in China and the efficiency of logistics at the provincial level have been significantly improved.Taking 30 provincial data as samples,the efficiency of logistics industry was calculated based on DEA method,then the factors affecting the efficiency improvement of logistics industry were analyzed with QCA method of configuration thinking,and the causal complex mechanism and path of these factors acting on the efficiency of logistics industry were discussed.The results show that:(1)In the three years since 2015,China’s logistics industry formed two efficient paths.The coverage of management open path was high,and the management level of logistics enterprises and the openness of regions were the core factors to improve the efficiency of logistics industry.The path of science and technology innovation covered few cases,and R&D investment,economic environment or openness were the core elements of this path.(2)There was an inefficient path with high coverage which were called policy-dependent path conforming to asymmetric characteristics,among them non-high GDP and government support were the core factors.
作者
卢美丽
LU Meili(School of Business Management,Shanxi University of Finance&Ecooomics,Taiyuan 030006,China)
出处
《商业经济与管理》
CSSCI
北大核心
2020年第7期27-37,共11页
Journal of Business Economics
基金
教育部人文社会科学基金项目“在线顾客阵发性特征对重复购买行为的影响机制研究”(18YJA630071)
山西省软科学研究计划项目“山西特色产品电子商务开展虚拟社区口碑营销策略的研究”(2018041069-1)
山西省高等学校工商管理优势学科攀升计划项目(晋教研[2018]4号)。
关键词
物流业效率
数据包络分析
定性比较分析
影响因素
路径
logistics industry efficiency
data envelopment analysis(DEA)
qualitative comparative analysis(QCA)
influencing factors
path
