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作 者:王雪 刘冠权 张瑜 WANG Xue;LIU Guanquan;ZHANG Yu(School of Management Engineering,Qingdao University of Technology,Qingdao 266525,China;Shandong University Research Center for Smart City Construction and Management,Qingdao 266525,China)
机构地区:[1]青岛理工大学管理工程学院,山东青岛266525 [2]山东省高校智慧城市建设管理研究中心,山东青岛266525
出 处:《鲁东大学学报(自然科学版)》2025年第1期62-71,共10页Journal of Ludong University:Natural Science Edition
基 金:山东省重点研发计划(软科学项目)一般项目(2019RKB01459);教育部人文社会科学研究青年基金(20YJC790158)。
摘 要:以黄河流域9个省(区)为研究对象,运用超效率SBM模型和Malmquist指数对2003—2021年静态和动态工业碳排放绩效进行测算,并揭示工业碳排放绩效的时空演变特征;在此基础上,利用Tobit面板模型,对黄河流域工业碳排放绩效的影响因素进行了研究。结果表明:(1)从静态绩效来看,黄河流域的工业碳排放效率总体呈现起伏增长的态势,相较于中部和西部,东部和南部的工业碳排放效率更高,但各省(区)的辐射作用相对较弱;(2)从动态绩效来看,除山西省外,其余省(区)的工业碳排放绩效均得到了改善,技术进步对黄河流域工业碳排放绩效变动的贡献最大;(3)从影响因素来看,产业结构、对外开放程度以及技术水平对工业碳排放绩效提升起推动作用,而城镇化水平对工业碳排放绩效有负向影响,工业经济发展水平和工业能源强度的影响不显著。Taking nine provinces(districts)of the Yellow River basin as the research object,the super-efficient SBM model and the Malmquist index were used to measure their static and dynamic industrial carbon emission performance from 2003 to 2021 and to reveal the spatial and temporal evolution characteristics of industrial carbon emission performance.On this basis,the Tobit panel was used to study the factors affecting the performance of industrial carbon emissions in the Yellow River basin.The results are shown as follows.(1)From the perspective of static performance,the industrial carbon emission efficiency of the Yellow River basin generally shows a fluctuating growth trend.The industrial carbon emission efficiency in the eastern and southern regions is higher than that in the central and western regions,and the radiation effect of each province(district)is relatively weak.(2)From the perspective of dynamic performance,except for Shanxi Province,the industrial carbon emission performance of other provinces(districts)has been improved,and technological progress has made the greatest contributions to the change of industrial carbon emission performance in the Yellow River basin.(3)From the perspective of influencing factors,industrial structure,degree of opening up to the outside world and technical level all play a key role in promoting the improvement of industrial carbon emission performance,while urbanization level has a negative impact on industrial carbon emission performance,and the impact of the level of industrial economic development and industrial energy intensity is not significant.
关 键 词:碳排放绩效 超效率SBM模型 Malmquist指数 影响因素 黄河流域
分 类 号:F062.2[经济管理—政治经济学]
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