IDEAS home Printed from https://ideas.repec.org/a/eee/jjieco/v58y2020ics0889158320300459.html
   My bibliography  Save this article

Robots and industrial labor: Evidence from Japan

Author

Listed:
  • Dekle, Robert

Abstract

This paper provides one of the first studies of the impact of the introduction of robots to equilibrium labor demand in an entire economy. We use long-term (1979–2012) industry-level panel data from Japan, a country that is over 10 times as intensive in the use of robots as in the U.S. Our model, which is derived from Acemoglu and Restrepo (2017), shows that there are three effects on labor demand in the aggregate economy from the introduction of industrial robots. The first is the negative displacement effect of robots taking over the tasks of humans. The second is the positive industry productivity effect of robots lowering costs in a particular industry. This lowering of costs draws demand to the industry and expands output and employment in that industry. The third is the positive general equilibrium effect. Robots raise productivity and expands demand in all industries, thereby increasing the product and labor demand for the industry introducing the robots. In our estimation, we find that the displacement effect is insignificant, the productivity effect is sometimes positively significant, and the macroeconomic general equilibrium effect is always highly positively significant. Overall, the introduction of robots has been beneficial to the demand for labor in Japan. Our results are robust to various controls and instrumental variables.

Suggested Citation

  • Dekle, Robert, 2020. "Robots and industrial labor: Evidence from Japan," Journal of the Japanese and International Economies, Elsevier, vol. 58(C).
  • Handle: RePEc:eee:jjieco:v:58:y:2020:i:c:s0889158320300459
    DOI: 10.1016/j.jjie.2020.101108
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0889158320300459
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.jjie.2020.101108?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. David Autor & Anna Salomons, 2018. "Is Automation Labor-Displacing? Productivity Growth, Employment, and the Labor Share," NBER Working Papers 24871, National Bureau of Economic Research, Inc.
    2. Georg Graetz & Guy Michaels, 2018. "Robots at Work," The Review of Economics and Statistics, MIT Press, vol. 100(5), pages 753-768, December.
    3. David Autor & Anna Salomons, 2018. "Is Automation Labor Share–Displacing? Productivity Growth, Employment, and the Labor Share," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 49(1 (Spring), pages 1-87.
    4. Daron Acemoglu & Pascual Restrepo, 2020. "Robots and Jobs: Evidence from US Labor Markets," Journal of Political Economy, University of Chicago Press, vol. 128(6), pages 2188-2244.
    5. David H. Autor & David Dorn & Gordon H. Hanson, 2013. "The China Syndrome: Local Labor Market Effects of Import Competition in the United States," American Economic Review, American Economic Association, vol. 103(6), pages 2121-2168, October.
    6. Timothy DESTEFANO & HANEDA Sho & KWON Hyeog Ug, 2019. "Determinants of Structural Adjustment and Employment Use in Japan: Firm Characteristics, Offshoring and Industrial Robotics," Discussion papers 19067, Research Institute of Economy, Trade and Industry (RIETI).
    7. Daron Acemoglu & Pascual Restrepo, 2017. "Robots and Jobs: Evidence from US Labor Markets," Boston University - Department of Economics - Working Papers Series dp-297, Boston University - Department of Economics.
    8. Asian Bank, 2018. "Asian Development Outlook (ADO) 2018: How Technology Affects Jobs," Working Papers id:12717, eSocialSciences.
    9. repec:bin:bpeajo:v:49:y:2019:i:2018-01:p:1-87 is not listed on IDEAS
    10. MORIKAWA Masayuki, 2020. "Heterogeneous Relationships between Automation Technologies and Skilled Labor: Evidence from a Firm Survey," Discussion papers 20004, Research Institute of Economy, Trade and Industry (RIETI).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Qiao, Lu & Li, Lin & Fei, Junjun, 2022. "Information infrastructure and air pollution: Empirical analysis based on data from Chinese cities," Economic Analysis and Policy, Elsevier, vol. 73(C), pages 563-573.
    2. Dario Guarascio & Alessandro Piccirillo & Jelena Reljic, 2024. "Will robot replace workers? Assessing the impact of robots on employment and wages with meta-analysis," LEM Papers Series 2024/03, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    3. Ahmadisedigh, Hossein & Gosselin, Louis, 2022. "How can combined heating and cooling networks benefit from thermal energy storage? Minimizing lifetime cost for different scenarios," Energy, Elsevier, vol. 243(C).
    4. Rossi, Lorenzo & Casson Moreno, Valeria & Landucci, Gabriele, 2022. "Vulnerability assessment of process pipelines affected by flood events," Reliability Engineering and System Safety, Elsevier, vol. 219(C).
    5. Wang, Linhui & Cao, Zhanglu & Dong, Zhiqing, 2023. "Are artificial intelligence dividends evenly distributed between profits and wages? Evidence from the private enterprise survey data in China," Structural Change and Economic Dynamics, Elsevier, vol. 66(C), pages 342-356.
    6. Ni, Bin & Obashi, Ayako, 2021. "Robotics technology and firm-level employment adjustment in Japan," Japan and the World Economy, Elsevier, vol. 57(C).
    7. Venturini, Francesco, 2022. "Intelligent technologies and productivity spillovers: Evidence from the Fourth Industrial Revolution," Journal of Economic Behavior & Organization, Elsevier, vol. 194(C), pages 220-243.
    8. Liu, Liang & Yang, Kun & Fujii, Hidemichi & Liu, Jun, 2021. "Artificial intelligence and energy intensity in China’s industrial sector: Effect and transmission channel," Economic Analysis and Policy, Elsevier, vol. 70(C), pages 276-293.
    9. Otsu, Keisuke & Shibayama, Katsuyuki, 2022. "Population aging, government policy and the postwar Japanese economy," Journal of the Japanese and International Economies, Elsevier, vol. 64(C).
    10. Xiekui Zhang & Hongfei Zhu, 2023. "The Impact of Industrial Intelligence on Carbon Emissions: Evidence from the Three Largest Economies," Sustainability, MDPI, vol. 15(7), pages 1-15, April.
    11. Huang, Keqi & Liu, Qiren & Tang, Chengjian, 2023. "Which firms benefit from robot adoption? Evidence from China," Journal of Asian Economics, Elsevier, vol. 86(C).
    12. Filippi, Emilia & Bannò, Mariasole & Trento, Sandro, 2023. "Automation technologies and their impact on employment: A review, synthesis and future research agenda," Technological Forecasting and Social Change, Elsevier, vol. 191(C).
    13. Schröder, M. & Abdin, Z. & Mérida, W., 2020. "Optimization of distributed energy resources for electric vehicle charging and fuel cell vehicle refueling," Applied Energy, Elsevier, vol. 277(C).
    14. Chen, Yang & Cheng, Liang & Lee, Chien-Chiang, 2022. "How does the use of industrial robots affect the ecological footprint? International evidence," Ecological Economics, Elsevier, vol. 198(C).
    15. ADACHI Daisuke & KAWAGUCHI Daiji & SAITO Yukiko, 2020. "Robots and Employment: Evidence from Japan, 1978-2017," Discussion papers 20051, Research Institute of Economy, Trade and Industry (RIETI).
    16. Xiekui Zhang & Peiyao Liu & Hongfei Zhu, 2022. "The Impact of Industrial Intelligence on Energy Intensity: Evidence from China," Sustainability, MDPI, vol. 14(12), pages 1-16, June.
    17. Koopo Kwon & Jaeryong So, 2023. "Future Smart Logistics Technology Based on Patent Analysis Using Temporal Network," Sustainability, MDPI, vol. 15(10), pages 1-17, May.
    18. ARAI Kosuke & FUJIWARA Ippei & SHIROTA Toyoichiro, 2021. "Robot Penetration and Task Changes," Discussion papers 21093, Research Institute of Economy, Trade and Industry (RIETI).
    19. Negri, Camilla & Ricci, Marina & Zilio, Massimo & D'Imporzano, Giuliana & Qiao, Wei & Dong, Renjie & Adani, Fabrizio, 2020. "Anaerobic digestion of food waste for bio-energy production in China and Southeast Asia: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 133(C).
    20. Keqi Huang & Julan Du & Jiawu Dai, 2023. "Higher education expansion and robot imports: evidence from China," Economic Change and Restructuring, Springer, vol. 56(6), pages 4339-4369, December.
    21. Horesh, Noah & Quinn, Casey & Wang, Hongjie & Zane, Regan & Ferry, Mike & Tong, Shijie & Quinn, Jason C., 2021. "Driving to the future of energy storage: Techno-economic analysis of a novel method to recondition second life electric vehicle batteries," Applied Energy, Elsevier, vol. 295(C).
    22. Jurkat, Anne & Klump, Rainer & Schneider, Florian, 2023. "Robots and Wages: A Meta-Analysis," EconStor Preprints 274156, ZBW - Leibniz Information Centre for Economics.
    23. Yuksel, Mujde & Smith, Andrew N. & Milne, George R., 2021. "Fantasy sports and beyond: Complementary digital experiences (CDXs) as innovations for enhancing fan experience," Journal of Business Research, Elsevier, vol. 134(C), pages 143-155.
    24. Kerstin Hotte & Melline Somers & Angelos Theodorakopoulos, 2022. "Technology and jobs: A systematic literature review," Papers 2204.01296, arXiv.org.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Davide Dottori, 2021. "Robots and employment: evidence from Italy," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 38(2), pages 739-795, July.
    2. Grigoli, Francesco & Koczan, Zsoka & Topalova, Petia, 2020. "Automation and labor force participation in advanced economies: Macro and micro evidence," European Economic Review, Elsevier, vol. 126(C).
    3. Gregory, Terry & Salomons, Anna & Zierahn, Ulrich, 2016. "Racing With or Against the Machine? Evidence from Europe," VfS Annual Conference 2016 (Augsburg): Demographic Change 145843, Verein für Socialpolitik / German Economic Association.
    4. Antón, José-Ignacio & Fernández-Macías, Enrique & Winter-Ebmer, Rudolf, 2020. "Does Robotization Affect Job Quality? Evidence from European Regional Labour Markets," IZA Discussion Papers 13975, Institute of Labor Economics (IZA).
    5. Martin Labaj & Materj Vitalos, 2019. "Automation and labor demand in European countries: A task-based approach to wage bill decomposition," Department of Economic Policy Working Paper Series 021, Department of Economic Policy, Faculty of National Economy, University of Economics in Bratislava.
    6. Gasteiger, Emanuel & Prettner, Klaus, 2022. "Automation, Stagnation, And The Implications Of A Robot Tax," Macroeconomic Dynamics, Cambridge University Press, vol. 26(1), pages 218-249, January.
    7. Geiger, Niels & Prettner, Klaus & Schwarzer, Johannes A., 2018. "Automatisierung, Wachstum und Ungleichheit," Hohenheim Discussion Papers in Business, Economics and Social Sciences 13-2018, University of Hohenheim, Faculty of Business, Economics and Social Sciences.
    8. Teimouri, Sheida & Zietz, Joachim, 2020. "Coping with deindustrialization: A panel study for early OECD countries," Structural Change and Economic Dynamics, Elsevier, vol. 54(C), pages 26-41.
    9. Lütkenhorst, Wilfried, 2018. "Creating wealth without labour? Emerging contours of a new techno-economic landscape," IDOS Discussion Papers 11/2018, German Institute of Development and Sustainability (IDOS).
    10. Goos, Maarten & Rademakers, Emilie & Röttger, Ronja, 2021. "Routine-Biased technical change: Individual-Level evidence from a plant closure," Research Policy, Elsevier, vol. 50(7).
    11. Andrea Salvatori & Seetha Menon & Wouter Zwysen, 2018. "The effect of computer use on job quality: Evidence from Europe," OECD Social, Employment and Migration Working Papers 200, OECD Publishing.
    12. ADACHI Daisuke & KAWAGUCHI Daiji & SAITO Yukiko, 2020. "Robots and Employment: Evidence from Japan, 1978-2017," Discussion papers 20051, Research Institute of Economy, Trade and Industry (RIETI).
    13. Aina Gallego & Thomas Kurer & Nikolas Schöll, 2018. "Not so disruptive after all: How workplace digitalization affects political preferences," Economics Working Papers 1623, Department of Economics and Business, Universitat Pompeu Fabra.
    14. Daron Acemoglu & Pascual Restrepo, 2018. "Artificial Intelligence, Automation, and Work," NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 197-236, National Bureau of Economic Research, Inc.
    15. Mauro Caselli & Andrea Fracasso & Silvio Traverso, 2021. "Globalization, robotization, and electoral outcomes: Evidence from spatial regressions for Italy," Journal of Regional Science, Wiley Blackwell, vol. 61(1), pages 86-111, January.
    16. Stuhler, Jan & Jaeger, David & Ruist, Joakim, 2018. "Shift-Share Instruments and the Impact of Immigration," CEPR Discussion Papers 12701, C.E.P.R. Discussion Papers.
    17. L. Rachel Ngai & Orhun Sevinc, 2020. "A Multisector Perspective on Wage Stagnation," Discussion Papers 2026, Centre for Macroeconomics (CFM).
    18. Van Roy, Vincent & Vertesy, Daniel & Damioli, Giacomo, 2019. "AI and Robotics Innovation: a Sectoral and Geographical Mapping using Patent Data," GLO Discussion Paper Series 433, Global Labor Organization (GLO).
    19. Robert Stehrer, 2022. "The Impact of ICT and Intangible Capital Accumulation on Labour Demand Growth and Functional Income Shares," wiiw Working Papers 218, The Vienna Institute for International Economic Studies, wiiw.
    20. Domini, Giacomo & Grazzi, Marco & Moschella, Daniele & Treibich, Tania, 2021. "Threats and opportunities in the digital era: Automation spikes and employment dynamics," Research Policy, Elsevier, vol. 50(7).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:jjieco:v:58:y:2020:i:c:s0889158320300459. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/622903 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.