低碳视角下中国区域物流效率研究——基于SFA与PP的实证分析

发布时间：2018-01-04 06:05

本文关键词：低碳视角下中国区域物流效率研究——基于SFA与PP的实证分析　出处：《生态经济》2017年04期 　论文类型：期刊论文

【摘要】：低碳已成为时代主题,物流业作为国民经济的基础产业,在节能减排的同时提高效率具有重要意义。从节能低碳角度出发,在利用投影寻踪模型(PP)对物流产出进行降维分析的基础上,采用随机前沿分析(SFA)对我国2008—2014年30个省份的物流效率进行了测算。结果显示:考察期间我国物流效率均值低于0.5,且存在较大的无效率现象;地区间物流效率的差异明显,物流发展不均衡,呈现"东高西低"的格局。在对影响因素的分析中发现,政府支持、科技进步对物流效率产生有利影响,而环境规制强度、经济发展水平及对外开放度未能产生积极影响。
[Abstract]:Low carbon has become the theme of the times, the logistics industry as the basic industry of the national economy, energy conservation and emission reduction at the same time to improve efficiency is of great significance. Based on the dimensionality reduction analysis of logistics output using projection pursuit model (PPV). The logistics efficiency of 30 provinces in China from 2008 to 2014 was measured by stochastic frontier analysis (SFAA). The results showed that the average value of logistics efficiency was less than 0.5 during the inspection period. And there is a large phenomenon of inefficiency; The difference of logistics efficiency between regions is obvious, and the development of logistics is not balanced, showing the pattern of "East high and west low". In the analysis of the influencing factors, it is found that government support and scientific and technological progress have a beneficial effect on logistics efficiency. However, the intensity of environmental regulation, the level of economic development and the degree of opening to the outside world have not had a positive impact.
【作者单位】：烟台南山学院;
【基金】：国家社会科学基金项目“节能环保产业发展评价及推进策略研究”(14BJY209) 山东省本科高校教学改革研究项目“基于组合预测法的山东省物流管理人才需求预测及培养策略研究”(2015M212) 山东省高校科研发展计划人文社会科学研究计划项目“基于商业生态系统的山东生鲜智能配送综合平台研究”(J15WB94)
【分类号】：F224;F259.27
【正文快照】： 1引言物流业作为国民经济的基础性、战略性产业,近几年保持快速增长,产业规模从2004年的38.4万亿元增加到2014年的213.5万亿元,物流业增加值占GDP的比重也由2005年的6.6%提高到2014年的6.8%。不少省市也纷纷出台政策积极推动物流业发展,物流业发展水平已然成为衡量地区竞争力

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