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Advanced Technologies and Worker Voice

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  • Filippo Belloc
  • Gabriel Burdin
  • Fabio Landini

Abstract

The interplay between labour institutions and firm‐level adoption of new technologies such as robotics and other advanced digital tools remains poorly understood. Using a cross‐sectional sample of more than 20,000 European establishments, we document a positive association between shop‐floor employee representation (ER) and utilization of emerging technologies. We explore mechanisms driving this correlation by exploiting rich information on the role played by ER in relation to well‐defined decision areas of management, such as work organization, dismissals, training and working time. In addition, we conduct a quantitative case study using a panel of Italian firms and exploiting size‐contingent policy rules governing the operation of ER bodies in the context of a local‐randomization regression discontinuity design. The analysis suggests a positive effect of ER on investments in advanced technologies around the firm size cut‐off, although results are sensitive to type of technology and specification choices. We also document positive effects on training and process innovation, and no evidence of changes in composition of employment. Our findings cast doubt on the idea that ER discourages technology adoption. Rather, ER seems to influence workplace practices that enhance the complementarity between labour and new advanced technologies.

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  • Filippo Belloc & Gabriel Burdin & Fabio Landini, 2023. "Advanced Technologies and Worker Voice," Economica, London School of Economics and Political Science, vol. 90(357), pages 1-38, January.
    • Handle: RePEc:bla:econom:v:90:y:2023:i:357:p:1-38
    DOI: 10.1111/ecca.12446
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    as
    1. Gihleb, Rania & Giuntella, Osea & Stella, Luca & Wang, Tianyi, 2022. "Industrial robots, Workers’ safety, and health," Labour Economics, Elsevier, vol. 78(C).
    2. Jensen, Michael C & Meckling, William H, 1979. "Rights and Production Functions: An Application to Labor-managed Firms and Codetermination," The Journal of Business, University of Chicago Press, vol. 52(4), pages 469-506, October.
    3. Belloc, Filippo & Burdin, Gabriel & Landini, Fabio, 2020. "Corporate Hierarchies under Employee Representation," IZA Discussion Papers 13717, Institute of Labor Economics (IZA).
    4. Fan, Haichao & Hu, Yichuan & Tang, Lixin, 2021. "Labor costs and the adoption of robots in China," Journal of Economic Behavior & Organization, Elsevier, vol. 186(C), pages 608-631.
    5. John T. Addison & Thorsten Schank & Claus Schnabel & Joachim Wagner, 2007. "Do Works Councils Inhibit Investment?," ILR Review, Cornell University, ILR School, vol. 60(2), pages 187-203, January.
    6. Ove Moene, K., 1988. "Union Militancy And Plant Designs," Memorandum 1988_018, Oslo University, Department of Economics.
    7. Laura Zimmermann, 2021. "The Dynamic Electoral Returns of a Large Antipoverty Program," The Review of Economics and Statistics, MIT Press, vol. 103(5), pages 803-817, December.
    8. Francesco Chiacchio & Georgios Petropoulos & David Pichler, 2018. "The impact of industrial robots on EU employment and wages- A local labour market approach," Working Papers 25186, Bruegel.
    9. Uwe Jirjahn, 2017. "Works Councils and Collective Bargaining in Germany: A Simple Theoretical Extension to Reconcile Conflicting Empirical Findings," Journal of Institutional and Theoretical Economics (JITE), Mohr Siebeck, Tübingen, vol. 173(2), pages 322-346, June.
    10. Connolly, Robert A & Hirsch, Barry T & Hirschey, Mark, 1986. "Union Rent Seeking, Intangible Capital, and Market Value of the Firm," The Review of Economics and Statistics, MIT Press, vol. 68(4), pages 567-577, November.
    11. Fabio Berton & Francesco Devicienti & Sara Grubanov-Boskovic, 2016. "Employment protection legislation and mismatch: evidence from a reform," LABORatorio R. Revelli Working Papers Series 151, LABORatorio R. Revelli, Centre for Employment Studies.
    12. Belloc, Filippo & Burdin, Gabriel & Cattani, Luca & Ellis, William & Landini, Fabio, 2022. "Coevolution of job automation risk and workplace governance," Research Policy, Elsevier, vol. 51(3).
    13. David S. Lee & Thomas Lemieux, 2010. "Regression Discontinuity Designs in Economics," Journal of Economic Literature, American Economic Association, vol. 48(2), pages 281-355, June.
    14. Salvatori, Andrea, 2012. "Union threat and non-union employment: A natural experiment on the use of temporary employment in British firms," Labour Economics, Elsevier, vol. 19(6), pages 944-956.
    15. Georg Graetz & Guy Michaels, 2018. "Robots at Work," The Review of Economics and Statistics, MIT Press, vol. 100(5), pages 753-768, December.
    16. Assar Lindbeck & Dennis J. Snower, 1989. "The Insider-Outsider Theory of Employment and Unemployment," MIT Press Books, The MIT Press, edition 1, volume 1, number 026262074x, April.
    17. Battisti, Michele & Gravina, Antonio Francesco, 2021. "Do robots complement or substitute for older workers?," Economics Letters, Elsevier, vol. 208(C).
    18. Ajay Agrawal & Joshua Gans & Avi Goldfarb, 2019. "The Economics of Artificial Intelligence: An Agenda," NBER Books, National Bureau of Economic Research, Inc, number agra-1.
    19. Francesco Devicienti & Paolo Naticchioni & Andrea Ricci, 2018. "Temporary Employment, Demand Volatility, and Unions: Firm-Level Evidence," ILR Review, Cornell University, ILR School, vol. 71(1), pages 174-207, January.
    20. Daron Acemoglu & Pascual Restrepo, 2019. "Automation and New Tasks: How Technology Displaces and Reinstates Labor," Journal of Economic Perspectives, American Economic Association, vol. 33(2), pages 3-30, Spring.
    21. Pagano, Ugo, 1991. "Property Rights, Asset Specificity, and the Division of Labour under Alternative Capitalist Relations," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 15(3), pages 315-342, September.
    22. Richard B. Freeman & Edward P. Lazear, 1995. "An Economic Analysis of Works Councils," NBER Chapters, in: Works Councils: Consultation, Representation, and Cooperation in Industrial Relations, pages 27-52, National Bureau of Economic Research, Inc.
    23. Barth, Erling & Roed, Marianne & Schone, Pal & Umblijs, Janis, 2020. "How Robots Change Within-Firm Wage Inequality," IZA Discussion Papers 13605, Institute of Labor Economics (IZA).
    24. Michal Kolesár & Christoph Rothe, 2018. "Inference in Regression Discontinuity Designs with a Discrete Running Variable," American Economic Review, American Economic Association, vol. 108(8), pages 2277-2304, August.
    25. Hong Cheng & Ruixue Jia & Dandan Li & Hongbin Li, 2019. "The Rise of Robots in China," Journal of Economic Perspectives, American Economic Association, vol. 33(2), pages 71-88, Spring.
    26. Barry T. Hirsch, 2004. "What Do Unions Do for Economic Performance?," Journal of Labor Research, Transaction Publishers, vol. 25(3), pages 415-456, July.
    27. Grout, Paul A, 1984. "Investment and Wages in the Absence of Binding Contracts: A Nash Bargining Approach," Econometrica, Econometric Society, vol. 52(2), pages 449-460, March.
    28. Lee, David S. & Card, David, 2008. "Regression discontinuity inference with specification error," Journal of Econometrics, Elsevier, vol. 142(2), pages 655-674, February.
    29. 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.
    30. Boeri, Tito & Garibaldi, Pietro, 2019. "A tale of comprehensive labor market reforms: Evidence from the Italian jobs act," Labour Economics, Elsevier, vol. 59(C), pages 33-48.
    31. Nikolas Zolas & Zachary Kroff & Erik Brynjolfsson & Kristina McElheran & David Beede & Catherine Buffington & Nathan Goldschlag & Lucia Foster & Emin Dinlersoz, 2020. "Advanced Technologies Adoption and Use by U.S. Firms: Evidence from the Annual Business Survey," Working Papers 20-40, Center for Economic Studies, U.S. Census Bureau.
    32. Wolfgang Dauth & Sebastian Findeisen & Jens Suedekum & Nicole Woessner, 2021. "The Adjustment of Labor Markets to Robots [“Skills, Tasks and Technologies: Implications for Employment and Earnings]," Journal of the European Economic Association, European Economic Association, vol. 19(6), pages 3104-3153.
    33. Olaf Hübler & Uwe Jirjahn, 2003. "Works Councils and Collective Bargaining in Germany: The Impact on Productivity and Wages," Scottish Journal of Political Economy, Scottish Economic Society, vol. 50(4), pages 471-491, September.
    34. Carbonero, Francesco. & Ernst, Ekkehard & Weber, Enzo., 2018. "Robots worldwide the impact of automation on employment and trade," ILO Working Papers 995008793402676, International Labour Organization.
    35. Burt S. Barnow & Matias D. Cattaneo & Rocío Titiunik & Gonzalo Vazquez‐Bare, 2017. "Comparing Inference Approaches for RD Designs: A Reexamination of the Effect of Head Start on Child Mortality," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 36(3), pages 643-681, June.
    36. Agrawal, Ajay & Gans, Joshua & Goldfarb, Avi (ed.), 2019. "The Economics of Artificial Intelligence," National Bureau of Economic Research Books, University of Chicago Press, number 9780226613338, September.
    37. Hahn, Jinyong & Todd, Petra & Van der Klaauw, Wilbert, 2001. "Identification and Estimation of Treatment Effects with a Regression-Discontinuity Design," Econometrica, Econometric Society, vol. 69(1), pages 201-209, January.
    38. Michele Fornino & Andrea Manera, 2022. "Automation and the Future of Work: Assessing the Role of Labor Flexibility," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 45, pages 282-321, July.
    39. Burdin, Gabriel & Pérotin, Virginie, 2019. "Employee representation and flexible working time," Labour Economics, Elsevier, vol. 61(C).
    40. Machin, Stephen & Wadhwani, Sushil, 1991. "The Effects of Unions of Investment and Innovation: Evidence from WIRS," Economic Journal, Royal Economic Society, vol. 101(405), pages 324-330, March.
    41. Lynn Wu & Bowen Lou & Lorin Hitt, 2019. "Data Analytics Supports Decentralized Innovation," Management Science, INFORMS, vol. 65(10), pages 4863-4877, October.
    42. Pedro Silva Martins, 2019. "The Microeconomic Impacts of Employee Representatives: Evidence from Membership Thresholds," Industrial Relations: A Journal of Economy and Society, Wiley Blackwell, vol. 58(4), pages 591-622, October.
    43. Deng, Liuchun & Plümpe, Verena & Stegmaier, Jens, 2021. "Robot adoption at German plants," IWH Discussion Papers 19/2020, Halle Institute for Economic Research (IWH), revised 2021.
    44. Brigham R. Frandsen, 2017. "Party Bias in Union Representation Elections: Testing for Manipulation in the Regression Discontinuity Design when the Running Variable is Discrete," Advances in Econometrics, in: Regression Discontinuity Designs, volume 38, pages 281-315, Emerald Group Publishing Limited.
    45. David H. Autor, 2015. "Why Are There Still So Many Jobs? The History and Future of Workplace Automation," Journal of Economic Perspectives, American Economic Association, vol. 29(3), pages 3-30, Summer.
    46. Bruno Caprettini & Hans-Joachim Voth, 2020. "Rage against the Machines: Labor-Saving Technology and Unrest in Industrializing England," American Economic Review: Insights, American Economic Association, vol. 2(3), pages 305-320, September.
    47. Bowles, Samuel, 1985. "The Production Process in a Competitive Economy: Walrasian, Neo-Hobbesian, and Marxian Models," American Economic Review, American Economic Association, vol. 75(1), pages 16-36, March.
    48. Maarten Goos & Alan Manning & Anna Salomons, 2014. "Explaining Job Polarization: Routine-Biased Technological Change and Offshoring," American Economic Review, American Economic Association, vol. 104(8), pages 2509-2526, August.
    49. Zoe Adams & Parisa Bastani & Louise Bishop & Simon Deakin, 2017. "The CBR-LRI Dataset: Methods, Properties & Potential of Leximetric Coding of Labour Laws," Working Papers wp489, Centre for Business Research, University of Cambridge.
    50. Christian Dustmann & Uta Schönberg, 2009. "Training and Union Wages," The Review of Economics and Statistics, MIT Press, vol. 91(2), pages 363-376, May.
    51. Maarten Goos, 2018. "The impact of technological progress on labour markets: policy challenges," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 34(3), pages 362-375.
    52. Paolo Sestito & Eliana Viviano, 2018. "Firing costs and firm hiring: evidence from an Italian reform," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 33(93), pages 101-130.
    53. Hogan, Chad, 2001. "Enforcement of Implicit Employment Contracts through Unionization," Journal of Labor Economics, University of Chicago Press, vol. 19(1), pages 171-195, January.
    54. Brugarolas, Pablo & Miller, Luis, 2021. "The Causal Effect of Polls on Turnout Intention: A Local Randomization Regression Discontinuity Approach," Political Analysis, Cambridge University Press, vol. 29(4), pages 554-560, October.
    55. Wiljan van den Berge, 2019. "Automatic Reaction – What Happens to Workers at Firms that Automate?," CPB Discussion Paper 390.rdf, CPB Netherlands Bureau for Economic Policy Analysis.
    56. Giovanni Sulis & Gabriele Cardullo, 2023. "Unions and investment in intangible capital," IZA World of Labor, Institute of Labor Economics (IZA), pages 201-201, May.
    57. Gonzalo Vazquez-Bare & Matias Cattaneo & Rocio Titiunik, 2016. "rdlocrand: a Stata Package for Inference in Regression Discontinuity Designs under Local Randomizati," 2016 Stata Conference 25, Stata Users Group.
    58. Kevin Denny & Stephen Nickell, 1991. "Unions and Investment in British Manufacturing Industry," British Journal of Industrial Relations, London School of Economics, vol. 29(1), pages 113-121, March.
    59. Lee, David S., 2008. "Randomized experiments from non-random selection in U.S. House elections," Journal of Econometrics, Elsevier, vol. 142(2), pages 675-697, February.
    60. Matias D. Cattaneo & Roc ́ıo Titiunik & Gonzalo Vazquez-Bare, 2016. "Inference in regression discontinuity designs under local randomization," Stata Journal, StataCorp LP, vol. 16(2), pages 331-367, June.
    61. Malcomson, James M, 1983. "Trade Unions and Economic Efficiency," Economic Journal, Royal Economic Society, vol. 93(369a), pages 51-65, Supplemen.
    62. Wiljan van den Berge, 2019. "Automatic Reaction – What Happens to Workers at Firms that Automate?," CPB Discussion Paper 390, CPB Netherlands Bureau for Economic Policy Analysis.
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