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机器人与生产率:基于省级面板数据的分析 被引量:17

Robots and Productivity:A Research based on Provincial Panel Data
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摘要 利用省级面板数据考察了工业机器人使用对全要素生产率的影响,发现更多地使用工业机器人进行生产可以有效地提升一个地区的全要素生产率。进一步分析这种影响的机制,发现工业机器人的使用主要是通过改进技术效率,以及促进规模效益这两个机制对生产率产生了影响。在当前的生产中,工业机器人等新技术的使用规模还较小、范围还较狭窄,这表明在未来一段时间内,相关新技术在促进生产率提升方面还有很大的潜力。 In this paper,we use provincial panel data to study the impact of industrial robots use on total factor productivity.The results show that more use of industrial robots for production can effectively improve the total factor productivity of a region.Further,we analyze the mechanism of this impact,and find that the use of industrial robots has an impact on productivity mainly through improving technological efficiency and promoting scale efficiency.In view of the current production,industrial robots and other new technologies are still relatively small in scale and narrow in scope,which shows that in the future,related new technologies have great potential in promoting productivity.
作者 陈永伟 曾昭睿 Chen Yongwei;Zeng Zhaorui(Research Department at Comparative Studies,Beijing 100029,P.R.China;University of Chinese Academy of Social Sciences,Beijing 102488,P.R.China)
出处 《山东大学学报(哲学社会科学版)》 CSSCI 北大核心 2020年第2期82-97,共16页 Journal of Shandong University(Philosophy and Social Sciences)
基金 国家社会科学基金重大项目“技术标准与知识产权协同推进数字产业创新的机理与路径研究”(19ZDA077) 国家社会科学基金重点项目“‘互联网’背景下的中国制造业转型升级研究”(16AJY011) 阐释党的十九大精神国家社科基金专项课题“推动新一代信息技术与制造业深度融合研究——基于新时代和新工业革命的视角”(18VSJ054)。
关键词 工业机器人 人工智能 全要素生产率 Industrial robots Artificial intelligence Total factor productivity
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  • 1林毅夫,刘明兴,章奇.政策性负担与企业的预算软约束:来自中国的实证研究[J].管理世界,2004,20(8):81-89. 被引量:426
  • 2任若恩,刘晓生.关于中国资本存量估计的一些问题[J].数量经济技术经济研究,1997,13(1):19-24. 被引量:74
  • 3Aigner, D. J., C. A. K. Loven, and P. Schmidt,1997, "Formulation and Estimation of Stochastic Frontier Production Function Models."Journal of Econometrics, 6:1, July, 21-37.
  • 4Kumbhakar, S. C. and C. A. K. Loven, (2000), Stochastic Frontier Analysis. Cambridge: Cambridge University Press.
  • 5Kumbhakar, S. C. (2000), "Estimation and decomposition of productivity change when production is not efficient:a panel data approach."Econometric Review, 19, 425-460.
  • 6Kalirajan, K. P., M. B. Obwona and S. Zhao. (1996), "A Decompositon of Total Factor Productivity Growth: The Case of Chinese Agricultural Growth Before and After Reforms. " American Journal of Agricultural Economics, 78,331-338.
  • 7Jondrow, James, C. A. K. Love[l, I. S. Materov, P. Schmidt. (1982), "On the Estimation of Technical Inefficiency in the Stochastic Frontier Production Function Model." Journal of Econometrics, 19, 23:8, 233-239.
  • 8Meeusenm, W., and J. van den Broeck. (1977), "Efficiency Estimation from Cobb-Douglas Producton Functions with Composed Error".International Economic Reviews, 18:2, 435-44.
  • 9Nishimizu, M. and J. M. Page. (1982), "Total Factor Productivity Growth, Technical Progress and Technical Efficiency Change:Dimensions of Productivity Change in Yugoslavia, 1965-78. " The Economic Journal, 92, 929-936.
  • 10Kim, Sangho and Gwangho Han. (2001), "A decomposition of total factor productivity growth in Korean manufacturing industry." Journal of Productivity Analysis, 16, 3, p269.

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