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作 者:吴斌[1] 黄建 董敏[1] 祁玉青[1] WU Bin;HUANG Jian;DONG Min;QI Yuqing(College of Economics and Management,Nanjing Tech University,Nanjing Jiangsu 211816,China)
机构地区:[1]南京工业大学经济与管理学院,江苏南京211816
出 处:《生态经济》2022年第3期47-53,共7页Ecological Economy
基 金:国家社会科学基金项目“中国人工智能产业链韧性测度与提升机制研究”(20BGL025)。
摘 要:选取2009—2016年“一带一路”沿线17个省份的相关数据,在考虑碳排放的情况下运用三阶段DEA和Malmquist方法,搭建指标体系对该区域先进制造业生产效率进行分析。研究发现:规模效率是制约17个省份先进制造业生产效率的关键因素。当受到环境及随机扰动因素影响时,该区域先进制造业生产效率整体呈现“沿海高,内陆低”的地区差异化特征。SFA回归分析发现,产业结构、对外开放水平等因素,对效率有显著影响;从动态角度分析,技术进步是提高Malmquist指数的主要因素。最后为我国整体先进制造业的良性发展提供建议措施,使得先进制造业由要素驱动升级为效率驱动。This article selects the relevant data of 17 provinces and cities along“the Belt and Road”from 2009 to 2016,and uses the three stage DEA and Malmquist method to build an index system to analyze the efficiency of the advanced manufacturing industry in the area under the consideration of carbon emissions.It is found that scale efficiency is the key factor restricting the production efficiency of advanced manufacturing industry in this region.When affected by the environment and random disturbance factors,the production efficiency of advanced manufacturing industry in this region presents the regional differentiation characteristics of“coastal high,inland low”.SFA regression analysis found that industrial structure,the level of opening up and other factors have a significant impact on efficiency;from a dynamic point of view,technological progress is the main factor to improve the Malmquist index.Finally,it provides suggestions for the healthy development of China’s overall advanced manufacturing industry,so as to upgrade the advanced manufacturing industry from factor driven to efficiency driven.
分 类 号:F062.2[经济管理—政治经济学] F062.9
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