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The structure of the labor market, telecommuting, and optimal peak period congestion tolls: A numerical optimization model

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  • De Borger, Bruno
  • Wuyts, Bart

Abstract

This paper extends a standard model of welfare optimal peak-period congestion tolls to take into account two characteristics of typical European labor markets, viz. wage bargaining and the increasing potential of telecommuting as an alternative to working on-the-job. Specifically, we consider the government's problem of determining optimal labor and peak-period transport taxes under two different labor market structures, viz., a competitive labor market and a wage bargaining setting. The models include commuting and non-commuting transports, and they allow for telecommuting. We implement the models numerically using Belgian data. Results include the following. First, if union preferences reflect the transport concerns of their members, we find that optimal congestion taxes under competitive labor market conditions exceed those under bargaining by 10-17%. Second, the combination of substantially higher transport taxes and lower labor taxes compared to the reference situation jointly implies that the optimal tax structure strongly stimulates telecommuting for both labor market structures considered. Third, it is found that improving the efficiency of telecommuting results in a considerable reduction of optimal congestion tolls.

Suggested Citation

  • De Borger, Bruno & Wuyts, Bart, 2011. "The structure of the labor market, telecommuting, and optimal peak period congestion tolls: A numerical optimization model," Regional Science and Urban Economics, Elsevier, vol. 41(5), pages 426-438, September.
    • Handle: RePEc:eee:regeco:v:41:y:2011:i:5:p:426-438
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    Cited by:

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    2. Hirte, Georg & Tscharaktschiew, Stefan, 2020. "The role of labor-supply margins in shaping optimal transport taxes," Economics of Transportation, Elsevier, vol. 22(C).
    3. Tscharaktschiew, Stefan, 2014. "Shedding light on the appropriateness of the (high) gasoline tax level in Germany," Economics of Transportation, Elsevier, vol. 3(3), pages 189-210.
    4. Georg Hirte & Stefan Tscharaktschiew, 2015. "Why not to choose the most convenient labor supply model? The impact of labor supply modeling on policy evaluation," ERSA conference papers ersa15p303, European Regional Science Association.
    5. Andrew Hook & Victor Court & Benjamin K Sovacool & Steven Sorrell, 2020. "A Systematic Review of the Energy and Climate Impacts of Teleworking," Working Papers hal-03192905, HAL.
    6. Hirte, Georg & Laes, Renée & Gerike, Regine, 2023. "Working from self-driving cars," Transportation Research Part A: Policy and Practice, Elsevier, vol. 176(C).
    7. Hörcher, Daniel & De Borger, Bruno & Seifu, Woubit & Graham, Daniel J., 2020. "Public transport provision under agglomeration economies," Regional Science and Urban Economics, Elsevier, vol. 81(C).
    8. Antonio Russo, 2015. "Pricing of Transport Networks, Redistribution, and Optimal Taxation," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 17(5), pages 605-640, October.
    9. Hirte, Georg & Laes, Renée, 2022. "Working from self-driving cars," CEPIE Working Papers 01/22, Technische Universität Dresden, Center of Public and International Economics (CEPIE).

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    More about this item

    Keywords

    Congestion taxes Competitive labor markets Wage bargaining Telecommuting;

    JEL classification:

    • D62 - Microeconomics - - Welfare Economics - - - Externalities
    • H21 - Public Economics - - Taxation, Subsidies, and Revenue - - - Efficiency; Optimal Taxation
    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise

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