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低碳视角下佛山市物流业效率及影响因素研究—基于超效率SBM-ML-Tobit模型 被引量:3

A Study on Efficiency and Influencing Factors of the Logistics Industry in Foshan from the Low-carbon Economy Perspective Based on Super Efficiency SBM-ML-TObit Model
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摘要 物流业是城市经济发展的重要组成部分,其效率高低会影响低碳经济的实现.文章将能源投入指标纳入到物流效率评价,选用投入角度的CCR、BCC模型、超效率模型和Malmquist指数模型,来评价佛山市低碳物流效率.结果表明:2009-2018年,佛山低碳物流效率呈"W"趋势,水平处于珠三角城市前列;全要素生产效率呈波动态势但总体略微上升.佛山市物流业在低碳减排中还有较大发展空间.最后,文章利用Tobit模型分析物流效率影响因素,提出低碳视角下佛山市物流效率的提升建议. The logistics industry is an important part of urban economic development,and its efficiency will affect the realization of a low-carbon economy.Proceeding from the concept of low-carbon,the paper added one indicator for energy input,selected CCR,BCC models,super-efficiency models and Malmquist index models from the input perspective to analyze logistics efficiency in Foshan.The results show that:from 2009 to 2018,the logistics efficiency of Foshan takes on a "W" trend,and Foshan takes the lead among the cities in the Pearl River Delta;the TFP fluctuates with a slight increase on the whole.The logistics industry in Foshan still has a lot of room for development in low-carbon emission reduction.Finally,Tobit model is used to analyze the influencing factors of logistics efficiency,and suggestions are put forward to improve the logistics efficiency for Foshan from the low-carbon perspective.
作者 陈月明 CHEN Yue-ming(School of Management,Guangdong Polytechnic Normal University,Guangzhou Guangdong 510665)
出处 《广东技术师范大学学报》 2020年第6期38-48,共11页 Journal of Guangdong Polytechnic Normal University
基金 佛山市社科项目(2020-GJ046) 广东省自然科学基金项目(2020A151501706)。
关键词 物流业效率 低碳 超效率 Malmquist指数模型 TOBIT模型 logistics efficiency low-carbon super-efficiency Malmquist index model Tobit model
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