Computer technology and probable job destructions in Japan: An evaluation

Computer technology is currently experiencing important developments by generating new tools and methods with increasing capacities. This suggests that a growing share of economic tasks could be performed by this new capital at the expense of labor. This paper evaluates the risk of job destructions induced by computer technology in Japan. We aim at assessing the vulnerability of employment from a technical point of view by considering jobs’ differential dotation in non-programmable skills. Relying on machine learning technique, we find evidence that approximatively 55% of jobs are susceptible to be carried by computer capital in the next years. We also show that there is no significant difference on the basis of gender. On the contrary, non-regular jobs (those that concern temporary and part-time workers) are more vulnerable to computer technology diffusion than the others. These findings, based on technical background, shed light on the scale of the potential capital/labor substitution but this dynamics will also depends on economic and social factors.

[1]  Frédéric Kaplan,et al.  Who is Afraid of the Humanoid? Investigating Cultural Differences in the Acceptance of Robots , 2004, Int. J. Humanoid Robotics.

[2]  W. Nordhaus.  Two Centuries of Productivity Growth in Computing , 2007, The Journal of Economic History.

[3]  David Autor,et al.  The Growth of Low Skill Service Jobs and the Polarization of the U.S. Labor Market , 2009, SSRN Electronic Journal.

[4]  T. Sturgeon,et al.  Global Value Chains in the Electronics Industry: Was the Crisis a Window of Opportunity for Developing Countries? , 2010 .

[5]  Kumiko Miyazaki,et al.  An integrated network approach to systems of innovation--the case of robotics in Japan , 1999 .

[6]  Petri Rouvinen,et al.  Computerization Threatens One Third of Finnish Employment , 2014 .

[7]  Daniela M. Witten,et al.  An Introduction to Statistical Learning: with Applications in R , 2013 .

[8]  Philip S. Yu,et al.  Top 10 algorithms in data mining , 2007, Knowledge and Information Systems.

[9]  Trevor Hastie,et al.  The Elements of Statistical Learning , 2001 .

[10]  Stephen Berard,et al.  Implications of Historical Trends in the Electrical Efficiency of Computing , 2011, IEEE Annals of the History of Computing.

[11]  J. Concato,et al.  A simulation study of the number of events per variable in logistic regression analysis. , 1996, Journal of clinical epidemiology.

[12]  Leo Breiman,et al.  Classification and Regression Trees , 1984 .

[13]  Ryo Kambayashi,et al.  Long-term Trends in the Polarization of the Japanese Labor Market: The Increase of on-routine Task Input and Its Valuation in the Labor Market January 2010 , 2010 .

[14]  Naho Kitano.  Roboethics -a comparative analysis of social acceptance of robots between the West and Japan- , 2005 .

[15]  Erik Brynjolfsson,et al.  Race Against the Machine , 2011 .

[16]  G. Meredith,et al.  Japan: Selected Issues , 2022, IMF Staff Country Reports.

[17]  Béla Nagy,et al.  Superexponential long-term trends in information technology , 2011 .

[18]  Antanas Verikas,et al.  Mining data with random forests: A survey and results of new tests , 2011, Pattern Recognit..

[19]  A. Manning,et al.  Job Polarization in Europe , 2009 .

[20]  Geoffrey E. Hinton,et al.  Deep Learning , 2015, Nature.

[21]  Leo Breiman,et al.  Bagging Predictors , 1996, Machine Learning.

[22]  David Thesmar,et al.  Changes in the Functional Structure of Firms and the Demand for Skill , 2003, Journal of Labor Economics.

[23]  J. Ross Quinlan,et al.  C4.5: Programs for Machine Learning , 1992 .

[24]  Hal R. Varian,et al.  Big Data: New Tricks for Econometrics , 2014 .

[25]  Leo Breiman,et al.  Random Forests , 2001, Machine Learning.

[26]  Frederick L. Schodt.  Inside the Robot Kingdom: Japan, Mechatronics, and the Coming Robotopia , 1988 .

[27]  Trevor J. Hastie,et al.  Confidence intervals for random forests: the jackknife and the infinitesimal jackknife , 2013, J. Mach. Learn. Res..

[28]  Lessons from the history of information system development and use in Japan , 2010 .

[29]  D. Ricardo.  On the Principles of Political Economy and Taxation , 1891 .

[30]  A. Manning,et al.  Lousy and Lovely Jobs: The Rising Polarization of Work in Britain , 2007, The Review of Economics and Statistics.

[31]  Andy Liaw,et al.  Classification and Regression by randomForest , 2007 .

[32]  Nathan Rosenberg,et al.  A General-Purpose Technology at Work: The Corliss Steam Engine in the Late-Nineteenth-Century United States , 2004 .

[33]  D. Taglioni,et al.  Making Global Value Chains Work for Development , 2016 .

[34]  M. Spong,et al.  Robot Modeling and Control , 2005 .

[35]  Michael A. Osborne,et al.  The future of employment: How susceptible are jobs to computerisation? , 2017 .

[36]  Leo Breiman,et al.  Statistical Modeling: The Two Cultures (with comments and a rejoinder by the author) , 2001 .

[37]  Marco Vivarelli,et al.  Innovation, Employment and Skills in Advanced and Developing Countries: A Survey of the Literature , 2011, SSRN Electronic Journal.

[38]  Herbert A. Simon,et al.  The steam engine and the computer: what makes technology revolutionary , 1987 .

[39]  C. Pérez.  Technological Revolutions and Techno-Economic Paradigms , 2010 .

[40]  Leo Breiman,et al.  Statistical Modeling: The Two Cultures (with comments and a rejoinder by the author) , 2001, Statistical Science.

[41]  J. Harrigan,et al.  The March of the Techies: Technology, Trade, and Job Polarization in France, 1994-2007 , 2016, SSRN Electronic Journal.

[42]  J. Keynes,et al.  ECONOMIC POSSIBILITIES FOR OUR GRANDCHILDREN (1930) , 1978 .

[43]  J. Nishimura,et al.  The effect of participation in government consortia on the R&D productivity of firms: a case study of robot technology in Japan , 2010 .

[44]  S. Miroudot,et al.  Trade Policy Implications of Global Value Chains: Case Studies , 2013 .