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| Does intelligent investment need to be misplaced?——Evidence from Jiangsu |
| Wang Zimin1, Huang Zhongyi2 |
1.School of Economics,Nanjing University of Posts and Telecommunications,Nanjing 210023,China;
2.School of Management,Nanjing University of Posts and Telecommunications,Nanjing 210000,China |
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Abstract Under the background that the aging of the population is becoming more and more serious,the youth labor force is continuously losing,and the labor is decreasing,the informationized investment represented by artificial intelligence becomes an important means to make up for the shortage of labor.How to plan and deploy the intelligent and automation technologies such as artificial intelligence and how to avoid the waste of resources caused by intelligent investment become a problem that enterprise must face with.The article uses the city-level panel data of Jiangsu Province from 2008 to 2017 to conduct theoretical analysis and empirical research on the relationship between intelligent investment and total employment and three industries,and uses Jiangsu experience to provide reference for China's development.The results show that the current intelligent investment has not had a significant impact on the total employment in southern and northern Jiangsu,and the intelligent investment has a creative effect on the employment of the primary industry in northern Jiangsu,and has no impact on the employment of the secondary and tertiary industries;There was a substitution effect on employment in the secondary industry in southern Jiangsu,but it did not affect the employment of the primary and tertiary industries.Based on the above research conclusions,from the perspective of intelligent and automation technologies such as artificial intelligence making up for the shortage of labor,the paper proposes countermeasures for optimizing the intelligent investment structure in different regions of China and better utilizing intelligent and automation technologies.
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Received: 25 July 2019
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[1]彭希哲,胡湛.公共政策视角下的中国人口老龄化[J].中国社会科学,2011 (3):121-138.
[2]DECKER M,FISCHER M,OTT I.Service robotics and human Labor:a first technology assessment of substitution and cooperation[J].Robotics and autonomous systems,2017 (87):348-354.
[3]DECANIO S J.Robots and humans——complements or substitutes[J].Journal of macroeconomics,2016 (49):280-291.
[4]BORLAND J,COELLI M.Are robots taking our Jobs[J].Australian economic review,2017 (4):377-397.
[5]FREY C.B,OSBORNE M.A.The future of employment:how susceptible are jobs to computerization[J].Technological forecasting and social change,2017 (114):254-280.
[6]LI B,HOU B,YU W,et al.Applications of artificial intelligence in intelligent manufacturing:a review[J].Frontiers of information technology & electronic engineering,2017 (1):86-96.
[7]SIVAKAMI S,KARTHIKEYAN C.Evaluating the effectiveness of expert system for performing agricultural extension services in India[J].Expert systems with applications,2009 (36):9634-9636.
[8]MENOUAR H,GUVENC I,AKKAYA K,et al.UAV-Enabled intelligent transportation systems for the smart city:applications and challenges[J]. IEEE communications magazine,2017 (3):22-28.
[9]朱勇,吴易风.技术进步与经济的内生增长——新增长理论发展述评[J].经济研究,1999 (1):21-39.
[10]刘伟,张辉.中国经济增长中的产业结构变迁和技术进步[J].经济研究,2008 (11):4-15.
[11]MANYIKA J,CHUI M,MIREMADI M,et al.A future that works:automation,employment,and productivity.New York:Mckinsey & Company,2017.
[12]AMPATZIDIS Y,BELLIS L.D,LUVISI A.iPathology:robotic applications and management of plants and plant diseases[J].Sustainability,2017 (6):1-14.
[13]ACEMOGLU D,RESTREPO P.Robots and Jobs:evidence from US labor markets[C].Nber working paper No.23285,2017:1-90.
[14]陈秋霖,许多,周羿.人口老龄化背景下人工智能的劳动力替代效应——基于跨国面板数据和中国省级面板数据的分析[J].中国人口科学,2018 (6):30-42.
[15]FREY C.B,OSBORNE M.A.The future of employment:How susceptible are jobs to computerization[J].Technological forecasting and social change,2017 (114):254-280.
[16]QURESHI M.O,SYED R.S.The impact of robotics on employment and motivation of employees in the service sector,with special reference to health care[J].Safety and health at work,2014 (5):198-202.
[17]张车伟.中国30年经济增长与就业:构建灵活安全的劳动力市场[J].中国工业经济,2009 (1):18-28.
[18]毛其淋,许家云.市场化转型、就业动态与中国地区生产率增长[J].管理世界,2015 (10):7-23.
[19]何德旭,姚战琪.中国产业结构调整的效应、优化升级目标和政策措施[J].中国工业经济,2008 (5):46-56.
[20]邵帅,杨莉莉.自然资源开发、内生技术进步与区域经济增长[J].经济研究,2011 (2):112-123.
[21]简新华,黄锟.中国城镇化水平和速度的实证分析与前景预测[J].经济研究,2010 (3):28-39.
[22]杨伟国,邱子童,吴清军.人工智能应用的就业效应研究综述[J].中国人口科学,2018 (5):109-119.
[23]王光栋,叶仁荪,王雷.技术进步对就业的影响:区域差异及政策选择[J].中国软科学,2008 (11):151-160.
[24]ACEMOGLU D,AUTHOR D.Skills,tasks and technologies:implications for employment and earnings[R].Elsevier,2011 (1):1043-1171.
[25]陈勇,柏喆.技能偏向型技术进步、劳动者集聚效应与地区工资差距扩大[J].中国工业经济,2018 (9):79-97.
[26]程承坪,彭欢.人工智能影响就业的机理及中国对策[J].中国软科学,2018 (10):62-70. |
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2020, Vol. 1 
