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我国"一带一路"节点城市全要素能源效率空间分异研究

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利用含非期望产出的SUPER-SBM-DEA模型测算 2005-2019 年我国"一带一路"17 个节点城市的全要素能源效率,并从时间和空间两个维度分别进行对比分析,借助Tobit模型探究其影响因素.研究表明:各节点城市全要素能源效率总体水平较低,城市间全要素能源效率差异较大,存在不平衡性;"一路"节点城市全要素能源效率始终高于"一带"节点城市,但两者均呈收敛之势;各节点城市Malmquist指数均大于 1,技术进步对"一带"节点城市能源效率增长贡献较"一路"节点城市更为显著,"一路"节点城市技术效率差异较大;生产要素比例、对外开放程度、科技研发和能源价格对节点城市全要素能源效率提高有积极影响,经济发展水平和工业污染则对其有消极影响;经济发展水平对"一带"节点城市能源效率的影响显著为正,生产要素比例、能源消费结构却抑制其发展,而这三个要素对"一路"节点城市能源效率的影响与之相反.
Study on the Spatial Differentiation of Total Factor Energy Efficiency of the"Belt and Road"Node Cities in China
The total factor energy efficiency of 17 cities along the Belt and Road from 2005 to 2019 is calculated by using SUPER-SBM-DEA models with unintended outputs,and the comparative anilysis is carried out from two dimensions of time and space,the influencing factors are explored with the help of Tobit model.Results display that the total factor energy efficiency of 17 cities is inefficient.The total factor energy efficiency between cities is varied and imbalanced.The total factor energy efficiency of the"Road"cities is always higher than that of the"Belt"cities.The Malmquist index of all cities along the Belt and Road is greater than 1.The contribution of technologi-cal progress to the growth of energy efficiency of the"Belt"node cities is more significant than that of the"Road"node cities.The tech-nological efficiencies of the"Road"node cities are quite different.The proportion of production factors,the opening degree,the research and development of technology and the price of energy have positive effects on the total factor energy efficiency,while the economic devel-opment and the industrial pollution have negative effects.The level of economic development has a significant positive impact on the ener-gy efficiency of the"Belt"node cities,while the proportion of production elements and energy consumption structure repress its develop-ment.Conversely,these three factors have negative impacts on the energy efficiency of the"Road"node cities.

the"Belt and Road"node citiestotal factor energy efficiencyunintended outputsSUPER-SBM-DEA modelTobit model

王双英、魏萍、华雅瑶

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青岛理工大学 商学院,山东 青岛 266555

"一带一路"节点城市 全要素能源效率 SUPER-SBM-DEA模型 Tobit模型

国家自然科学基金面上项目

71774087

2024

中国石油大学学报(社会科学版)
中国石油大学

中国石油大学学报(社会科学版)

CHSSCD
影响因子:0.515
ISSN:1673-5595
年,卷(期):2024.40(1)
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