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长江经济带物流业绿色绩效测度及其影响因素分析 被引量:6

Influencing Factors and Measurement of Green Performance of Logistics Industry in the Yangtze River Economic Belt
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摘要 基于SBM模型,测算长江经济带地区九省二市2008—2016年物流业绿色绩效,对人均GDP、城镇化水平、工业化水平、人口规模、能源强度等因素利用Tobit模型进行线性回归分析。研究结果表明:长江经济带各省域在考察期间内能源消耗量与二氧化碳排放量呈现逐年上升的趋势;长江经济带地区物流产业二氧化碳排放效率测算中,大部分地区物流产业二氧化碳排放效率上下略微波动,安徽、湖北两省逐年降低。 Based on SBM model,the green performance of logistics industry in nine provinces and two cities in the Yangtze River Economic Belt from 2008 to 2016 is estimated. the Tobit model is used for linear regression analysis of factors such as per capita GDP,urbanization level,industrialization level,population size,energy intensity,etc. The research results show that the energy consumption and carbon dioxide emissions of the provinces and regions in the Yangtze River Economic Belt are increasing year by year during the investigation period.In the calculation of the carbon dioxide emission efficiency of the logistics industry in the Yangtze river economic belt region,the carbon dioxide emission efficiency of the logistics industry fluctuates slightly in most regions,while decreasing year by year in Anhui and Hubei provinces.
作者 王燊 程云鹤 Wang Shen;Cheng Yunhe(School of Economics and Management,Anhui University of Science and Technology,Huai' nan,Anhui 23200,Chin)
出处 《黑龙江工业学院学报(综合版)》 2018年第8期87-92,共6页 Journal of Heilongjiang University of Technology(Comprehensive Edition)
基金 国家社会科学基金项目(编号:14BJL105) 安徽省科技厅软科学项目(编号:1607a0202047/1706a02020021) 安徽省教育厅人文社科重大项目(编号:SK2017ZD07)
关键词 SBM模型 TOBIT模型 绿色绩效 转型升级 SBM model TOBIT model green performance transformation and upgrading
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