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Technical efficiency, unions and decentralized labor contracts

Author

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  • Devicienti, Francesco
  • Manello, Alessandro
  • Vannoni, Davide
Abstract
This paper explores the link between the presence of unions in the workplace, the adoption of decentralized labor agreements and technical efficiency, using a large sample of Italian manufacturing firms. We apply the Data Envelopment Analysis, and its robust version based on bootstrap theory, to get reliable estimates of technical efficiency at the firm level in a standard first stage. We devote particular attention to the specific technology adopted, by distinguishing 20 different sector frontiers, as well as to the presence of outliers. The obtained efficiency scores are analyzed in a second stage applying a truncated regression model estimated via Maximum Likelihood, following the Simar and Wilson (2007, 2011) methodology. Our results highlight that the presence of workplace unionization decreases the level of technical efficiency, while aspects limiting the unions’ power such as a strong exposure to international markets, high debt levels or the prevalence of flexible assets partially reduce the negative effect. However, when firms adopt decentralized labor contracts agreements, the effect on efficiency is positive and partially compensates the negative unions’ effect.

Suggested Citation

  • Devicienti, Francesco & Manello, Alessandro & Vannoni, Davide, 2017. "Technical efficiency, unions and decentralized labor contracts," European Journal of Operational Research, Elsevier, vol. 260(3), pages 1129-1141.
    • Handle: RePEc:eee:ejores:v:260:y:2017:i:3:p:1129-1141
    DOI: 10.1016/j.ejor.2017.01.022
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    Cited by:

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    2. Addison John T. & Teixeira Paulino, 2019. "Workplace Employee Representation and Industrial Relations Performance: New Evidence from the 2013 European Company Survey," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 239(1), pages 111-154, January.
    3. Fabio Berton & Anna Carreri & Francesco Devicienti & Andrea Ricci, 2023. "The collective voice of unions and workplace training in Italy: New insights from mixed methods," British Journal of Industrial Relations, London School of Economics, vol. 61(3), pages 595-622, September.
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    5. Lisciandra, Maurizio & Milani, Riccardo & Millemaci, Emanuele, 2022. "A corruption risk indicator for public procurement," European Journal of Political Economy, Elsevier, vol. 73(C).
    6. Cirillo, Valeria & Fanti, Lucrezia & Mina, Andrea & Ricci, Andrea, 2023. "The adoption of digital technologies: Investment, skills, work organisation," Structural Change and Economic Dynamics, Elsevier, vol. 66(C), pages 89-105.
    7. Cardullo, Gabriele, 2024. "Slouching Towards Decentralization. An Equilibrium Approach for Collective Bargaining," IZA Discussion Papers 16870, Institute of Labor Economics (IZA).
    8. Cardullo, Gabriele & Conti, Maurizio & Sulis, Giovanni, 2020. "A model of unions, two-tier bargaining and capital investment," Labour Economics, Elsevier, vol. 67(C).
    9. Romano, Teresa & Cambini, Carlo & Fumagalli, Elena & Rondi, Laura, 2022. "Setting network tariffs with heterogeneous firms: The case of natural gas distribution," European Journal of Operational Research, Elsevier, vol. 297(1), pages 280-290.
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    More about this item

    Keywords

    Data envelopment analysis; Unions; Decentralized bargaining; Truncated regression model;
    All these keywords.

    JEL classification:

    • J51 - Labor and Demographic Economics - - Labor-Management Relations, Trade Unions, and Collective Bargaining - - - Trade Unions: Objectives, Structure, and Effects
    • D22 - Microeconomics - - Production and Organizations - - - Firm Behavior: Empirical Analysis
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • C24 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Truncated and Censored Models; Switching Regression Models; Threshold Regression Models
    • C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory

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