Klump, Rainer and Jurkat, Anne and Schneider, Florian (2021): Tracking the rise of robots: A survey of the IFR database and its applications.
This is the latest version of this item.
Preview |
PDF
MPRA_paper_110390.pdf Download (1MB) | Preview |
Abstract
Robots are continuously transforming industrial production worldwide and thereby also inducing changes in a variety of production-related economic and social relations. While some observers call this transformation an unprecedented "revolution", others regard it as a common pattern of capitalist development. This paper contributes to the literature on the effects of the rise of industrial robots in three ways. Firstly, we describe the historic evolution and organizational structure of the International Federation of Robotics (IFR), which collects data on the international distribution of industrial robots by country, industry, and application from industrial robot suppliers worldwide since 1993. Secondly, we extensively analyze this IFR dataset on industrial robots and point out its specificities and limitations. We develop a correspondence table between the IFR industry classification and the International Standard Industrial Classification (ISIC) Revision 4 and shed some light on the price development of industrial robots by compiling data on robot price indices. We further compute implicit depreciation rates inherent to the operational stocks of robots in the IFR dataset and find an average depreciation rate of aggregate robot stocks between 4% and 7% per year between 1993 and 2019. Moreover, tracking the share of industrial robots that are not classified to any industry or application we find that their share in total robot stocks has sharply declined after 2005. We also compare IFR data with other data sources such as UN Comtrade data on net imports and unit prices of industrial robots or data on robot adoption from firm-level surveys in selected countries. Thirdly, we provide a comprehensive overview of the empirical research on industrial robots that is based on the IFR dataset. We identify four important strands of research on the rise of robots: (i) patterns of robot adoption and industrial organization, (ii) productivity and growth effect of robot adoption, (iii) its impact on employment and wages, and (iv) its influence on demographics, health, and politics.
Item Type: | MPRA Paper |
---|---|
Original Title: | Tracking the rise of robots: A survey of the IFR database and its applications |
Language: | English |
Keywords: | Robots, productivity, growth, employment, industry classification, depreciation rates, IFR |
Subjects: | C - Mathematical and Quantitative Methods > C2 - Single Equation Models ; Single Variables > C23 - Panel Data Models ; Spatio-temporal Models E - Macroeconomics and Monetary Economics > E1 - General Aggregative Models J - Labor and Demographic Economics > J2 - Demand and Supply of Labor J - Labor and Demographic Economics > J2 - Demand and Supply of Labor > J24 - Human Capital ; Skills ; Occupational Choice ; Labor Productivity O - Economic Development, Innovation, Technological Change, and Growth > O3 - Innovation ; Research and Development ; Technological Change ; Intellectual Property Rights O - Economic Development, Innovation, Technological Change, and Growth > O3 - Innovation ; Research and Development ; Technological Change ; Intellectual Property Rights > O33 - Technological Change: Choices and Consequences ; Diffusion Processes O - Economic Development, Innovation, Technological Change, and Growth > O4 - Economic Growth and Aggregate Productivity O - Economic Development, Innovation, Technological Change, and Growth > O4 - Economic Growth and Aggregate Productivity > O47 - Empirical Studies of Economic Growth ; Aggregate Productivity ; Cross-Country Output Convergence |
Item ID: | 111812 |
Depositing User: | Prof. Dr. Rainer Klump |
Date Deposited: | 04 Feb 2022 00:21 |
Last Modified: | 04 Feb 2022 00:21 |
References: | Abeliansky, A. & Beulmann, M. (2019). Are They Coming for Us? Industrial Robots and the Mental Health of Workers. cege Discussion Papers 379. Doi: 10.2139/ssrn.3438287 Abeliansky, A. & Prettner, K. (2017). Automation and Demographic Change. cege Discussion Papers 310. Doi: 10.2139/ssrn.2959977 Acemoglu, D., Lelarge, C. & Restrepo, P. (2020). Competing with Robots: Firm-Level Evidence from France, AEA Papers and Proceedings, 110, 383-388. Doi: 10.1257/pandp.20201003 Acemoglu, D. & Restrepo, P. (2017). Robots and Jobs: Evidence from US Labor Markets. NBER Working Paper 23285. Doi: 10.3386/w23285 Acemoglu, D. & Restrepo, P. (2020). Robots and Jobs: Evidence from US Labor Markets. Journal of Political Economy, 128(6), 2188-2244. Doi: 10.1086/705716 Acemoglu, D., Lelarge, C. & Restrepo, P. (2020). Competing with Robots: Firm-Level Evidence from France. AEA Papers and Proceedings, 110, 383–388. Acemoglu, D. & Restrepo, P. (2021). Demographics and Automation. Review of Economic Studies, forthcoming. Adachi, D., Kawaguchi, D. & Saito, Y. D. (2020). Robots and Employment: Evidence from Japan, 1978-2017. RIETI Discussion Paper Series 20-E-051, Tokyo. Aghion, P., Antonin, C. & Bunel, S. (2019). Artificial Intelligence, Growth and Employment: The Role of Policy. Economie et Statistique / Economics and Statistics, 510-511-512, 149–164. Doi: 10.24187/ecostat.2019.510t.1994 Aksoy, C., Özcan, B. and Philipp, J. (2020). Robots and the Gender Pay Gap in Europe. QPE Working Paper. Doi: 10.2139/ssrn.3647480 Anelli, M., Colantone, I. & Stanig, P. (2019a). We Were the Robots: Automation and Voting Behavior in Western Europe. IZA Discussion Papers 12485. Anelli, M., Giuntella, O. & Stella, L. (2019b). Robots, Labor Markets, and Family Behavior. IZA Discussion Papers 12820. Atkinson, R. D. (2021). Robots and International Economic Development. Information Technology & Innovation Foundation, Washington, D.C. Barth, E., Roed, M., Schone, P. & Umblijs, J. (2020). How Robots Change within-firm Wage Inequality. IZA Discussion Papers 13605. Bessen, J., Goos, M., Salomons, A. &van den Berge, W. (2020). Firm-Level Automation: Evidence from the Netherlands. AEA Papers and Proceedings, 110, 389–393. Blanas, S., Gancia, G. & Lee, S. Y. (2019). Who is Afraid of Machines? Economic Policy, 34, 627–690. Bonfiglioli, A., Crinò, R., Fadinger, H. & Gancia, G. (2020). Robot Imports and Firm- Level Outcomes. CEPR Discussion Papers 14593. Borjas, G. & Freeman, R. (2019). From Immigrants to Robots: The Changing Locus of Substitutes for Workers. RSF: The Russell Sage Foundation Journal of the Social Sciences, 5(5), 22–42. Doi: 10.7758/RSF.2019.5.5.02 Carbonero, F. Ernst, E. & Weber, E. (2018). Robots Worldwide: The Impact of Automation on Employment and Trade. ILO Working Papers 36, Geneva. Caselli, M., Fracasso, A. & Traverso, S. (2020). Mitigation of Risks of Covid-19 Contagion and Robotisation: Evidence from Italy. Covid Economics. Vetted and Real-Time Papers, 17, May 2020, 174-188. Caselli, M., Fracasso, A. & Traverso, S. (2021a). Globalization, Robotization and Electoral Outcomes: Evidence form Spatial Regressions for Italy. Journal of Regional Science, 61, 86-111. Caselli, M., Fracasso, A, Scicchitano, S., Traverso, S. & Tundis, E. (2021b). Stop Worrying and Love the Robot: An Activity-Based Approach to Assess the Impact of Robotization on Employment Dynamics. GLO Discussion Papers No. 802, Essen. CEBR (2017). The Impact of Automation: A Report for Redwood. Centre for Economics and Business Research, London. Cheng, H., Jia, R., Li, D. & and Hongbin, TL. (2019). The Rise of Robots in China. Journal of Economic Perspectives, 33 (2), 71–88. Doi: 10.1257/jep.33.2.71 Chiacchio, F., Petropoulos, G. & Pichler, D. (2018). The Impact of Industrial Robots on EU Employment and Wages - A Local Labour Market Approach. Bruegel Working Papers 02-2018, Bruessels. Cho, J. & Kim, J. (2018). Identifying Factors Reinforcing Robotization: Interactive Forces of Employment, Working Hour and Wage, Sustainability, 10(2), 1-21. Doi:10.3390/su10020490 Compagnucci, F., Gentili, A., Valentini, E. & Gallegati, M. (2019). Robotization and Labour Dislocation in the Manufacturing Sectors of OECD Countries: A Panel VAR Approach. Applied Economics, 51, 6127-6138. Doi: 10.1080/00036846.2019.1659499 Cséfalvay, Z. (2020). Robotization in Central and Eastern Europe: Catching Up or Dependence? European Planning Studies, 2, 1534–1553. Doi: 10.1080/09654313.2019.1694647 Cséfalvay, Z. & Gkotsis, P. (2020). Robotisation Race in Europe: the Robotisation Chain Approach. Economics of Innovation and New Technology. Doi: 10.1080/10438599.2020.1849968 Dahlin, E. (2019). Are Robots Stealing Our Jobs? Socius: Sociological Research for a Dynamic World, 5, 1-14. Doi: 10.1177/2378023119846249 Dauth, W., Findeisen, S., Südekum, J., & Wössner, N. (2021). The Adjustment of Labor Markets to Robots: Revised version. Journal of the European Economic Association, forthcoming. Doi: 10.1093/jeaa/jvab012. Dauth, W., Findeisen, S., Südekum, J. & Wössner, N. (2017). German Robots – The Impact of Industrial Robots on Workers. IAB Discussion Papers, 30/2017. Dauth, W., Findeisen, S., Südekum, J. & Wössner, N. (2018). Adjusting to Robots: Worker-Level Evidence. Opportunity and Inclusive Growth Institute Working Paper 13. Doi: 10.21034/iwp.13 De Backer, K., DeStefano, T., Menon, C. & Suh, J. R. (2018). Industrial Robotics and the Global Organisation of Production. OECD Science, Technology and Industry Working Paper 2018/03, Paris. Doi: 10-1787/dd98ff58-en Del Rey, J. (2019, Dec 11). How Robots are Transforming Amazon Warehouse Jobs — for Better and Worse. Vox. Retrieved from https://www.vox.com/recode/2019/12/11/20982652/robots-amazon-warehouse-jobs-automation, accessed January 16, 2021. Deng, L., Plümpe, V. & Stegmaier, J. (2021). Robot Adoption at German Plants, IWH Discussion Papers, No. 19/2020, Leibniz-Institut für Wirtschaftsforschung Halle (IWH), Halle (Saale). De Vries, G. J., Gentile, E., Miroudot, S. & Wacker, K. M. (2020). The Rise of Robots and the Fall of Routine Jobs. Labor Economics, 66. Doi: 10.1016/j.labeco.2020.101885 Dixon, J., Hong, B. & Wu, L. (2021). The Robot Revolution: Managerial and Employment Consequences for Firms. Management Science, forthcoming. Doi: 10.1287/mnsc.2020.3812 Dottori, D. (2020). Robots and Employment: Evidence from Italy. Banca d'Italia Occasional Papers No. 572, Rome. Estolatan, E., Geuna, A., Guerzino, M. & Nuccio, M. (2018). Mapping the Evolution of the Robotics Industry: A Cross Country Comparison. Innovation Policy White Paper Series, 2018-02, Munk School of Global Affairs & Public Policy, Toronto. Faber, M. (2020). Robots and Reshoring: Evidence from Mexican Labor Markets. Journal of International Economics, 127. Doi: 10.1016/j.jinteco.2020.103384 Fan, H., Hu, Y. & Tang, L. (2021). Labor Costs and the Adoption of Robots in China. Journal of Economic Behavior and Organization, 186, 608-631. Doi: 0.1016/j.jebo.2020.11.024 Fernández-Macías, E., Klenert, D. & Antón, J.-I. (2020). Not so Disruptive Yet? Characteristics, Distribution and Determinants of Robots in Europe, European Commission JRC120611, Seville. Frey, C., Berger, T. & Chen, C. (2018). Political Machinery: Did Robots Swing the 2016 US Presidential Election? Oxford Review of Economic Policy, 34, 418-442. Doi: 10.1093/oxrep/gry007 Fu, X., Qun, B., Xie, H. & Fu, X. (2021). Diffusion of Industrial Robotics and Inclusive Growth: Labour market Evidence from Cross Country Data. Journal of Business Research, 122, 670-684. Ge, S. & Zhou, Y., (2020). Robots, Computers, and the Gender Wage Gap, Journal of Economic Behavior & Organization, 178, 194-222. Doi: 10.1016/j.jebo.2020.07.014 Gentili, A., Compagnucci, F., Gallegati, M. & Valentini, E. (2020). Are Machines Stealing our Jobs? Cambridge Journal of Regions, Economy and Society, 13, 153-173. Ghodsi, M., Reiter, O., Stehrer, R. & Stöllinger, R. (2020). Robotisation, Employment and Industrial Growth Intertwined Across Global Value Chains. The Vienna Institute for International Economic Studies Working Paper 177. Gihleb, R. / Giuntella, O. / Stella, L. / Wang, T. (2020). Industrial Robots, Workers' Safety, and Health. IZA Discussion Papers 13672. Giuntella, O. & Wang, T. (2019) Is an Army of Robots Marching on Chinese Jobs?. IZA Discussion Paper 12281. Gorle, P. & Clive, A. (2013). Positive Impact of Industrial Robots on Employment: Updated in January 2013 to Take Account of More Recent Data. IFR/Metra Martech, London. Graetz, G. & Michaels, G. (2018). Robots at Work. The Review of Economics and Statistics, 100(5), 753-768. Doi: 10.1162/rest_a_00754 Guerreiro, J., Rebelo, S. & Teles, P. (2020). Should Robots Be Taxed?” NBER Working Paper 23806. Doi: 10.3386/w23806. Gunadi, C. & Ryu, H. (2020). Does the Rise of Robotic Technology Make People Healthier? GLO Discussion Papers No. 600, Essen. Humlum, A. (2019). Robot Adoption and Labor Market Dynamics, Unpublished Working Paper. IFR (2020). World Robotics 2020: Industrial Robots. VDMA Services GmbH, Frankfurt am Main. IFR (2021), International Federation of Robotics Homepage, https://ifr.org, accessed March 03, 2021. IFR & UN ECE (2001). World robotics 2001 – Annex B: Measuring Service Lives of Industrial Robots – Pilot Study, United Nations, New York-Geneva. Jäger, A., Moll, C., Som, O. & Zanker, C. (2015). Analysis of the Impact of Robotic Systems on Employment in the European Union: Final report. Publications Office of the EU, Luxembourg. Jungmittag, A. (2020). Robotisation of the Manufacturing Industries in the EU: Convergence or Divergence? The Journal of Technology Transfer, 1–22. Doi: 10.1007/s10961-020-09819-0 Jungmittag, A. & Pesole, A. (2019). The Impacts of Robots on Labour Productivity: A Panel Data Approach Covering 9 Industries and 12 Countries. JRC Working Papers Series on Labour, Education and Technology 2019/08. Jung, J. H. & Lim, D.-G. (2020). Industrial Robots, Employment Growth, and Labor Cost: A Simultaneous Equation Analysis. Technological Forecasting and Social Change, 159, 120202, 1-11. Doi.org/10.1016/j.techfore.2020.120202. Jurkat, A., Saam, M. & Salg, J. (2021). The Substitutability of Robots and Human Labor - A CES Estimation Approach, Unpublished Draft. Keisner, A., J. Raffo & Wunsch-Vincent, S. (2016). Robotics: Breakthrough Technologies, Innovation, Intellectual Property. Foresight and STI Governance 10(2), 7-27. Doi: 10.17323/1995-459X.2016.2.7.27 Kilic, K. & Marin, D. (2020). How COVID-19 is transforming the world economy. Vox EU. Retrieved from https://voxeu.org/article/how-covid-19-transforming-world-economy, accessed May 20, 2020. Klenert, D., Fernandez-Macias, E., Anton, J.-I. (2020). Do Robots Really Destroy Jobs? Evidence from Europe. European Commission JRC118393, Seville. Koch, M., Manuylov, I. & Smolka, M. (2021). Robots and Firms. The Economic Journal, forthcoming. Doi:10.1093/ej/ueab009. Kovacev, R. J. (2020). A Taxing Dilemma: Robot Taxes and the Challenges of Effective Taxation of AI, Automation and Robotics in the Fourth Industrial Revolution. The Contemporary Tax Journal, 9(2), Article 4. Available at: https://scholarworks.sjsu.edu/sjsumstjournal/vol9/iss2/4. Krenz, A., Prettner, K. & Strulik, H. (2018). Robots, Reshoring, and the Lot of Low-Skilled Workers. cege Discussion Papers 351. Kromann, L., Malchow-Møller, N., Skaksen, J. & Sørensen, A. (2020). Automation and Productivity – A Cross‐Country, Cross‐Industry Comparison. Industrial and Corporate Change, 29(2), 265–287. Doi: 10.1093/icc/dtz039 Leigh, N. G.& Kraft, B. (2018). Emerging Robotic Regions in the United States: Insights for Regional Economic Evolution. Regional Studies, 52(6), 804–815. Leigh, N. G., Kraft, B. & Lee, H. (2020). Robots, Skill Demand and Manufacturing in US Regional Labour Markets. Cambridge Journal of Regions, Economy and Society, 13(1), 77–97. Doi: 10.1093/cjres/rsz019 López-Sánchez, J. I., Arroyo-Barriguete, J. L. & Morales-Contreras, M. (2020). The Industrial Robot Evolution in the World. A First Dendrogram for a Cluster Analysis. In Pons, J. (Ed.), Inclusive Robotics for a Better Society, INBOTS 2018. Biosystems & Biorobotics, 25, 31-36. Springer, Cham. Doi: 10.1007/978-3-030-24074-5_7 Muro, M. (2017). Where the Robots Are. The Avenue. (https://www.brookings.edu/blog/the-avenue/2017/08/14/where-the-robots-are/, accessed 19.04.21). Nuccio, M. / Guerzoni, M. / Cappelli, R. / Geuna, A. (2020). Industrial Pattern and Robot Adoption in European Regions. Department of Management, Università Ca'Foscari Venezia Working Paper Series 3. OECD (2019). Determinants and Impact of Automation: An Analysis of Robots' Adoption in OECD Countries. OECD Digital Economy Papers 277. Pandey, H. & Pulidindi, K. (2020, Oct 14). Furniture Market size worth over $750 Bn by 2026. Global Market Insights. Retrieved from https://www.gminsights.com/pressrelease/furniture-market, accessed March 21, 2021. Sedik, T. S. & Yoo, J. (2021). Pandemics and Automation: Will the Lost Jobs Come Back? IMF Working Papers 21/11, Washington, D.C. United Nations (2008). International Standard Industrial Classification of All Economic Activities (ISIC), Revision 4. Statistical Papers, Series M (4), Rev.4. United Nations, UN Comtrade Database (https://comtrade.un.org) World Bank (2021), Consumer Price Index (2010 = 100) - United States. (https://data.worldbank.org/indicator/FP.CPI.TOTL?locations=US, accessed April 27, 2021) Zator, M. (2019). Digitization and Automation: Firm Investment and Labor Outcomes. Unpublished Working Paper. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/111812 |
Available Versions of this Item
-
Tracking the rise of robots: A survey of the IFR database and its applications. (deposited 01 Nov 2021 03:44)
- Tracking the rise of robots: A survey of the IFR database and its applications. (deposited 04 Feb 2022 00:21) [Currently Displayed]
- Tracking the rise of robots: A survey of the IFR database and its applications. (deposited 04 Feb 2022 00:21)