摘要
机器人产业能够有效提升中国高端制造业的良性发展。本文基于CNRDS数据库33家机器人上市公司在2015—2019年的相关数据,从时序角度和区域角度分别采用DEA-Malmquist模型、BCC模型及其他计量模型测算和分析我国机器人产业的全要素生产率及其影响因素。结果表明:现阶段机器人产业的全要素生产率略微上升但其技术效率、纯技术效率和规模效率表现不一;优化企业的资本构成、获利能力、资金流运转、运营规模和管理能力等均可快速提高其全要素生产率但作用不尽相同。基于以上结果提出建议如下:企业层面需要制定恰当的发展目标并改善其自身管理模式,从而提高企业的规模效率和纯技术效率;产业层面需根据各区域自身情况制定切合实际的产业发展策略;政府层面需配合产业发展推出更具有针对性的政策措施等。
The robot industry can effectively improve development of high-level manufacture industry in China. In this paper, we respectively utilized DEA Malmquist method, the BCC model and the other econometric models to measure and analyze the total factor productivity and its influence factors of the robot industry from the aspects of time sequence and region by using the panel data of the listed 33 Chinese robot companies from the CNRDS database in 2015—2019. The results show that: The current TFP was slowly improved by the different expression of technical efficiency, pure technical efficiency, and scale efficiency;It can quickly improve the TFP to optimize the capital composition, the profit ability, the capital flow operation, the operation scale and the management ability, but their roles are different. We proposed some suggestions based on results above: the enterprises should formulate appropriate development strategies and improve their own management mode in order to improve their scale efficiency and pure technical efficiency;The industries must formulate the industrial strategies according to the local conditions;The governments need to launch more targeted policies that fit for their industrial development.
作者
杜可
李桥兴
DU Ke;LI Qiao-Xing(School of Management,Guizhou University,Guiyang 550025,China;The Research Center of Development Strategy in Karst Region,Guiyang 550025,China)
出处
《科技与管理》
2020年第5期11-17,共7页
Science-Technology and Management
基金
贵州省哲学社会科学规划联合基金课题项目(18GZLH04)
贵州省国内一流学科建设项目(GNYL[2017]005)
贵州大学国家社科基金重大培育项目(GDPY2019005)。
