摘要
本文基于非参数DEA-Malmquist指数方法,对我国30个省2005-2014年低碳约束下物流业全要素生产率（TFP）进行测度,分析其结构及总体演化趋势,并运用探索性空间数据分析（ESDA）方法及时空跃迁测度法描述其在空间格局上的演化过程,最后运用证实性空间数据分析（CSDA）方法进行影响因素分析。研究表明：样本年内我国低碳物流全要素生产率的增长呈螺旋式缓慢上升,但各生产要素存在较大提升空间,进步缓慢的原因主要在于技术进步,能源结构等生产要素的利用效率无明显改善。从空间上看,各省低碳物流效率存在显著关联性特征,但其与能源投入水平未能一致,存在空间异质性。因此调整能源消费结构,实施差异化物流减排策略是当务之急。
Based on DEA- Malmquist index and nonparametric method,China＇s 30 provinces from 2005 to 2014 low carbon logistics industry under the restriction of total factor productivity（ TFP） is measured. This paper analyzes its structure and the general evolution trend,using exploratory spatial data analysis（ ESDA） method and transition of time and measure method to describe the spatial pattern of evolution process. Finally it uses confirmatory spatial data analysis（ CSDA） methods to analyze influencing factors. Research shows that： China＇ s low- carbon logistics total factor productivity growth spiraled slowly rising in the sample years,but there is a big room to improve,the progress is the reason mainly lies in the technological progress,energy structure and other factors of production efficiency has no obvious improvement. Seen from space,the provinces of low carbon logistics efficiency exist significant correlation characteristics,but its not consistent with the energy input levels,and there are spatial heterogeneity. So adjust the structure of energy consumption,implement differentiation logistics strategies to reduce emissions is a priority.
出处
《工业技术经济》
北大核心
2016年第11期42-52,共11页
Journal of Industrial Technological Economics
基金
新疆自治区人文社科重点研究基地
兵团屯垦经济研究中心2015年度招标立项重点项目"新常态下提升新疆经济质量问题研究"(项目编号:XJEDU2015B01)
