1.江苏大学财经学院,江苏 镇江 212013; 2.中南财经政法大学经济学院,湖北 武汉 430073; 3.江苏大学管理学院,江苏 镇江 212013; 4.Business School of University of Adelaide,SA5000
Effects of Industrial Robots on the Productivity Heterogeneity of Chinese Provincial Manufacturing Industry
Li Yaya1,Pan An2,Peng Yongtao3,Yang Wenbin4
1.School of Finance & Economics,Jiangsu University,Zhenjiang 212013,China; 2.Economics School,Zhongnan University of Economics and Law,Wuhan 430073,China; 3.School of Management,Jiangsu University, Zhenjiang 212013,China; 4.Business School of University of Adelaide,Adelaide SA5000,Austrilia
Abstract：Based on the data of manufacturing industry in China,this paper analyzes the influence of industrial robot application on the total factor productivity of manufacturing industry,and investigates its heterogeneity.The study shows that among 30 provinces/cities in China,the applications of industrial robots in 10 provinces/cities including Beijing,Tianjin,and other provinces in southern coastal,northern coastal and eastern coastal areas have the most significant effect on manufacturing productivity;those in 11 provinces/cities in the central and southwest areas have significant influence;the applications of industrial robots in 9 provinces/cities in northeast and northwest have no significant influence on the improvement of manufacturing productivity,and the regional heterogeneity is obvious.The reason is that most of the industrial robots in China are used in automobile and electronic information industry,the development direction and focus of provinces/cities are different that lead to the heterogeneity of effect;industrial robot applications need the support from the industrial chain and technical absorptive capacity,which is helpful to improve the productivity of manufacturing firms.
李丫丫,潘安,彭永涛,杨文斌. 工业机器人对省域制造业生产率的异质性影响[J]. 中国科技论坛, 2018(6): 121-126.
Li Yaya,Pan An,Peng Yongtao,Yang Wenbin. Effects of Industrial Robots on the Productivity Heterogeneity of Chinese Provincial Manufacturing Industry. , 2018(6): 121-126.
[1]李丫丫,潘安.工业机器人进口对中国制造业生产率提升的机理及实证研究[J].世界经济研究,2017(3):87-96. [2]陈启斐,刘志彪.生产性服务进口对我国制造业技术进步的实证分析[J].数量经济技术经济研究,2014,31(3):74-88. [3]高凌云,王洛林.进口贸易与工业行业全要素生产率[J].经济学(季刊),2010(2):391-414. [4]向小东,陈丽芬.制造业技术创新效率评价模型及其应用研究[J].运筹与管理,2016,25(1):215-223. [5]杨汝岱.中国制造业企业全要素生产率研究[J].经济研究,2015(2):61-74. [6]贾根良.迎接第三次工业革命的关键在于发展模式的革命——我国光伏产业和机器人产业的案例研究与反思[J].经济理论与经济管理,2013(5):13-22. [7]李健英,慕羊.基于DEA 方法的我国上市企业创新绩效研究[J].科学学与科学技术管理,2015,36(2):111-121. [8]LECHEVALIER S,NISHIMURA J,STORZ C.Diversity in patterns of industry evolution:how an intrapreneurial regime contributed to the emergence of the service robot industry[J].Research policy,2014,43(10):1716-1729. [9]YUN J J,WON D,JEONG E,et al.The relationship between technology,business model,and market in autonomous car and intelligent robot industries[J].Technological forecasting and social change,2016,103:142-155. [10]王友发,周献中.基于专利地图的机器人产业知识产权发展对策[J].中国科技论坛,2015(9):31-37. [11]董桂才.中国工业机器人在全球价值链的地位及变化趋势[J].中国科技论坛,2016(3):49-54. [12]董桂才,王鸣霞.全球价值链嵌入对我国本土工业机器人技术进步的影响[J].科技进步与对策,2017(04):78-83. [13]马岚.中国会出现机器人对人工的规模替代吗——基于日韩经验的实证研究[J].世界经济研究,2015(10):71-79. [14]孙少勤,邱斌.全球生产网络条件下FDI的技术溢出渠道研究——基于中国制造业行业面板数据的经验分析[J].南开经济研究,2011(4):50-66. [15]孙晓华,王昀,郑辉.R&D影响全要素生产率的行业异质性——来自中国制造业的经验证据[J].管理工程学报,2014(3):33-41. [16]邱爱莲,崔日明,徐晓龙.生产性服务贸易对中国制造业全要素生产率提升的影响:机理及实证研究——基于价值链规模经济效应角度[J].国际贸易问题,2014(6):71-80. [17]张杰,李勇,刘志彪.出口促进中国企业生产率提高吗?——来自中国本土制造业企业的经验证据:1999—2003[J].管理世界,2009(12):11-26. [18]吕铁,李玮.机器人产业的发展将优化供给结构[J].中国党政干部论坛,2016(4):62-65. [19]潘安.对外贸易、区域间贸易与碳排放转移——基于中国地区投入产出表的研究[J].财经研究,2017,43(11):57-69. [20]蒋樟生.制造业FDI行业内和行业间溢出对全要素生产率变动的影响[J].经济理论与经济管理,2017(2):78-87.
2018, 
