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Taxes, traffic jam and spillover in the metropolis

Author

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  • Tidiane Ly

    (Institute of Economics (IdEP), Università della Svizzera Italiana (USI), Lugano, Switzerland)

Abstract

This paper studies local governments' public policies in a metropolitan area plagued by traffic congestion, where both residents and workers consume local public goods. We develop a new spatial sub-metropolitan tax competition model which features a central city surrounded by suburban towns linked by mobile capital and mobile residents who commute to work. We show that Pareto-efficiency is achieved if towns can retain their workers using labor subsidies. Otherwise, traffic congestion in the city is inefficiently high and local governments respond by setting inefficient public policies: (1) the city over-taxes capital and under-taxes residents, which leads to too little capital and too many residents in the city; (2) local public goods are under-provided in the city and over-provided in the towns.

Suggested Citation

  • Tidiane Ly, 2019. "Taxes, traffic jam and spillover in the metropolis," IdEP Economic Papers 1903, USI Università della Svizzera italiana.
  • Handle: RePEc:lug:wpidep:1903
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    References listed on IDEAS

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    1. He, Guojun & Fan, Maoyong & Zhou, Maigeng, 2016. "The effect of air pollution on mortality in China: Evidence from the 2008 Beijing Olympic Games," Journal of Environmental Economics and Management, Elsevier, vol. 79(C), pages 18-39.
    2. Tatyana Deryugina & Garth Heutel & Nolan H. Miller & David Molitor & Julian Reif, 2019. "The Mortality and Medical Costs of Air Pollution: Evidence from Changes in Wind Direction," American Economic Review, American Economic Association, vol. 109(12), pages 4178-4219, December.
    3. Gourieroux, Christian & Monfort, Alain & Trognon, Alain, 1984. "Pseudo Maximum Likelihood Methods: Theory," Econometrica, Econometric Society, vol. 52(3), pages 681-700, May.
    4. Cameron,A. Colin & Trivedi,Pravin K., 2013. "Regression Analysis of Count Data," Cambridge Books, Cambridge University Press, number 9781107667273.
    5. Gourieroux, Christian & Monfort, Alain & Trognon, Alain, 1984. "Pseudo Maximum Likelihood Methods: Applications to Poisson Models," Econometrica, Econometric Society, vol. 52(3), pages 701-720, May.
    6. Currie, Janet & Neidell, Matthew & Schmieder, Johannes F., 2009. "Air pollution and infant health: Lessons from New Jersey," Journal of Health Economics, Elsevier, vol. 28(3), pages 688-703, May.
    7. Christopher R. Knittel & Douglas L. Miller & Nicholas J. Sanders, 2016. "Caution, Drivers! Children Present: Traffic, Pollution, and Infant Health," The Review of Economics and Statistics, MIT Press, vol. 98(2), pages 350-366, May.
    8. Wolfram Schlenker & W. Reed Walker, 2016. "Airports, Air Pollution, and Contemporaneous Health," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 83(2), pages 768-809.
    9. Sanders, Nicholas J. & Stoecker, Charles, 2015. "Where have all the young men gone? Using sex ratios to measure fetal death rates," Journal of Health Economics, Elsevier, vol. 41(C), pages 30-45.
    10. Kenneth Y. Chay & Michael Greenstone, 2003. "The Impact of Air Pollution on Infant Mortality: Evidence from Geographic Variation in Pollution Shocks Induced by a Recession," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 118(3), pages 1121-1167.
    11. Janet Currie & Matthew Neidell, 2005. "Air Pollution and Infant Health: What Can We Learn from California's Recent Experience?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 120(3), pages 1003-1030.
    12. Bound, John & Krueger, Alan B, 1991. "The Extent of Measurement Error in Longitudinal Earnings Data: Do Two Wrongs Make a Right?," Journal of Labor Economics, University of Chicago Press, vol. 9(1), pages 1-24, January.
    13. Lagravinese, R. & Moscone, F. & Tosetti, E. & Lee, H., 2014. "The impact of air pollution on hospital admissions: Evidence from Italy," Regional Science and Urban Economics, Elsevier, vol. 49(C), pages 278-285.
    14. Luechinger, Simon, 2014. "Air pollution and infant mortality: A natural experiment from power plant desulfurization," Journal of Health Economics, Elsevier, vol. 37(C), pages 219-231.
    15. Beatty, Timothy K.M. & Shimshack, Jay P., 2014. "Air pollution and children's respiratory health: A cohort analysis," Journal of Environmental Economics and Management, Elsevier, vol. 67(1), pages 39-57.
    16. A. Colin Cameron & Douglas L. Miller, 2015. "A Practitioner’s Guide to Cluster-Robust Inference," Journal of Human Resources, University of Wisconsin Press, vol. 50(2), pages 317-372.
    17. Enrico Moretti & Matthew Neidell, 2011. "Pollution, Health, and Avoidance Behavior: Evidence from the Ports of Los Angeles," Journal of Human Resources, University of Wisconsin Press, vol. 46(1), pages 154-175.
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    Cited by:

    1. Giaccherini, Matilde & Kopinska, Joanna & Palma, Alessandro, 2021. "When particulate matter strikes cities: Social disparities and health costs of air pollution," Journal of Health Economics, Elsevier, vol. 78(C).

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    More about this item

    Keywords

    Tax competition; Urban economics; Traffic congestion; Public goods; Mobility;
    All these keywords.

    JEL classification:

    • H71 - Public Economics - - State and Local Government; Intergovernmental Relations - - - State and Local Taxation, Subsidies, and Revenue
    • H72 - Public Economics - - State and Local Government; Intergovernmental Relations - - - State and Local Budget and Expenditures
    • R50 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis - - - General
    • R51 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis - - - Finance in Urban and Rural Economies

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