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Green Commuting and Gasoline Taxes in the United States

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  • Gimenez-Nadal, José Ignacio

    (University of Zaragoza)

  • Molina, José Alberto

    (University of Zaragoza)

Abstract

This paper analyzes how gasoline tax rates are related to the time workers in the United States spend commuting by private car, public transport, or with other physical modes of transport. Our identification strategy relies on both between-state differences and time variations in gasoline taxes. Using the American Time Use Surveys for the years 2003 to 2015, we find that higher gasoline tax rates are related with less time spent in commuting. Furthermore, higher gasoline taxes are related to a lower proportion of commuting by private car, and higher proportions of commuting by public transport and/or a physical mode of transport (e.g., walking, cycling). Our results highlight the importance of gasoline taxes (and prices) on the consumption of energy for personal transport, as higher gasoline taxes are related to a greater use of "green" modes of transport, showing that fuel taxes are important for good management of the environment.

Suggested Citation

  • Gimenez-Nadal, José Ignacio & Molina, José Alberto, 2019. "Green Commuting and Gasoline Taxes in the United States," IZA Discussion Papers 12377, Institute of Labor Economics (IZA).
    • Handle: RePEc:iza:izadps:dp12377
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    1. Parent, Olivier & LeSage, James P., 2010. "A spatial dynamic panel model with random effects applied to commuting times," Transportation Research Part B: Methodological, Elsevier, vol. 44(5), pages 633-645, June.
    2. Marimon, Ramon & Zilibotti, Fabrizio, 1999. "Unemployment vs. Mismatch of Talents: Reconsidering Unemployment Benefits," Economic Journal, Royal Economic Society, vol. 109(455), pages 266-291, April.
    3. Ross, Stephen L. & Zenou, Yves, 2008. "Are shirking and leisure substitutable? An empirical test of efficiency wages based on urban economic theory," Regional Science and Urban Economics, Elsevier, vol. 38(5), pages 498-517, September.
    4. Ismir Mulalic & Jos N. Van Ommeren & Ninette Pilegaard, 2014. "Wages and Commuting: Quasi‐natural Experiments' Evidence from Firms that Relocate," Economic Journal, Royal Economic Society, vol. 124(579), pages 1086-1105, September.
    5. Burda, Michael C. & Hamermesh, Daniel S., 2010. "Unemployment, market work and household production," Economics Letters, Elsevier, vol. 107(2), pages 131-133, May.
    6. Kenneth A. Small & Kurt Van Dender, 2007. "Fuel Efficiency and Motor Vehicle Travel: The Declining Rebound Effect," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 25-52.
    7. A. Greening, Lorna & Greene, David L. & Difiglio, Carmen, 2000. "Energy efficiency and consumption -- the rebound effect -- a survey," Energy Policy, Elsevier, vol. 28(6-7), pages 389-401, June.
    8. Hymel, Kent M. & Small, Kenneth A., 2015. "The rebound effect for automobile travel: Asymmetric response to price changes and novel features of the 2000s," Energy Economics, Elsevier, vol. 49(C), pages 93-103.
    9. Kitamura, Ryuichi & Fujii, Satoshi & Pas, Eric I., 1997. "Time-use data, analysis and modeling: toward the next generation of transportation planning methodologies," Transport Policy, Elsevier, vol. 4(4), pages 225-235, October.
    10. repec:wyi:journl:002155 is not listed on IDEAS
    11. Shanjun Li & Joshua Linn & Erich Muehlegger, 2014. "Gasoline Taxes and Consumer Behavior," American Economic Journal: Economic Policy, American Economic Association, vol. 6(4), pages 302-342, November.
    12. Antonio M. Bento & Lawrence H. Goulder & Emeric Henry & Mark R. Jacobsen & Roger H. von Haefen, 2005. "Distributional and Efficiency Impacts of Gasoline Taxes: An Econometrically Based Multi-market Study," American Economic Review, American Economic Association, vol. 95(2), pages 282-287, May.
    13. Manning, Alan, 2003. "The real thin theory: monopsony in modern labour markets," Labour Economics, Elsevier, vol. 10(2), pages 105-131, April.
    14. Jonathan E. Hughes & Christopher R. Knittel & Daniel Sperling, 2008. "Evidence of a Shift in the Short-Run Price Elasticity of Gasoline Demand," The Energy Journal, International Association for Energy Economics, vol. 29(1), pages 113-134.
    15. J. Ignacio Gimenez-Nadal & José Alberto Molina, 2016. "Commuting Time And Household Responsibilities: Evidence Using Propensity Score Matching," Journal of Regional Science, Wiley Blackwell, vol. 56(2), pages 332-359, March.
    16. Ignacio Gimenez-Nadal, J. & Molina, Jose Alberto & Velilla, Jorge, 2018. "The commuting behavior of workers in the United States: Differences between the employed and the self-employed," Journal of Transport Geography, Elsevier, vol. 66(C), pages 19-29.
    17. Gillingham, Kenneth, 2014. "Identifying the elasticity of driving: Evidence from a gasoline price shock in California," Regional Science and Urban Economics, Elsevier, vol. 47(C), pages 13-24.
    18. Liu, Weiwei, 2015. "Gasoline taxes or efficiency standards? A heterogeneous household demand analysis," Energy Policy, Elsevier, vol. 80(C), pages 54-64.
    19. Schwanen, Tim & Dijst, Martin, 2002. "Travel-time ratios for visits to the workplace: the relationship between commuting time and work duration," Transportation Research Part A: Policy and Practice, Elsevier, vol. 36(7), pages 573-592, August.
    20. Antonio M Bento & Lawrence H Goulder & Emeric Henry & Mark R Jacobsen & Roger H. Von Haefen, 2005. "Distributional and Efficiency Impacts of Gasoline Taxes: An Econometrically Based Multi-market Study," Post-Print hal-01020761, HAL.
    21. Jara-Díaz, Sergio & Rosales-Salas, Jorge, 2015. "Understanding time use: Daily or weekly data?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 76(C), pages 38-57.
    22. Mark Aguiar & Erik Hurst & Loukas Karabarbounis, 2013. "Time Use during the Great Recession," American Economic Review, American Economic Association, vol. 103(5), pages 1664-1696, August.
    23. Burke, Paul J. & Nishitateno, Shuhei, 2013. "Gasoline prices, gasoline consumption, and new-vehicle fuel economy: Evidence for a large sample of countries," Energy Economics, Elsevier, vol. 36(C), pages 363-370.
    24. Shihe Fu & Stephen L. Ross, 2013. "Wage Premia in Employment Clusters: How Important Is Worker Heterogeneity?," Journal of Labor Economics, University of Chicago Press, vol. 31(2), pages 271-304.
    25. repec:hal:wpspec:info:hdl:2441/10084 is not listed on IDEAS
    26. Gimenez-Nadal, José Ignacio & Molina, José Alberto & Velilla, Jorge, 2016. "Spatial Distribution of US Employment in an Urban Wage-Efficiency Setting," IZA Discussion Papers 9720, Institute of Labor Economics (IZA).
    27. Dahl, Carol A, 1979. "Consumer Adjustment to a Gasoline Tax," The Review of Economics and Statistics, MIT Press, vol. 61(3), pages 427-432, August.
    28. Chen, Haotian & Smyth, Russell & Zhang, Xibin, 2017. "A Bayesian sampling approach to measuring the price responsiveness of gasoline demand using a constrained partially linear model," Energy Economics, Elsevier, vol. 67(C), pages 346-354.
    29. Marie Connolly, 2008. "Here Comes the Rain Again: Weather and the Intertemporal Substitution of Leisure," Journal of Labor Economics, University of Chicago Press, vol. 26(1), pages 73-100.
    30. repec:hal:spmain:info:hdl:2441/c8dmi8nm4pdjkuc9g8go564kn is not listed on IDEAS
    31. Shapiro, Carl & Stiglitz, Joseph E, 1984. "Equilibrium Unemployment as a Worker Discipline Device," American Economic Review, American Economic Association, vol. 74(3), pages 433-444, June.
    32. Goel, Rajeev K., 1994. "Quasi-experimental taxation elasticities of US gasoline demand," Energy Economics, Elsevier, vol. 16(2), pages 133-137, April.
    33. White, Michelle J., 1999. "Urban areas with decentralized employment: Theory and empirical work," Handbook of Regional and Urban Economics, in: P. C. Cheshire & E. S. Mills (ed.), Handbook of Regional and Urban Economics, edition 1, volume 3, chapter 36, pages 1375-1412, Elsevier.
    34. Zax, Jeffrey S., 1991. "Compensation for commutes in labor and housing markets," Journal of Urban Economics, Elsevier, vol. 30(2), pages 192-207, September.
    35. Gillingham, Kenneth & Jenn, Alan & Azevedo, Inês M.L., 2015. "Heterogeneity in the response to gasoline prices: Evidence from Pennsylvania and implications for the rebound effect," Energy Economics, Elsevier, vol. 52(S1), pages 41-52.
    36. José Ignacio Giménez†Nadal & José Alberto Molina & Jorge Velilla, 2018. "Spatial distribution of US employment in an urban efficiency wage setting," Journal of Regional Science, Wiley Blackwell, vol. 58(1), pages 141-158, January.
    37. J. Ignacio Gimenez-Nadal & José Alberto Molina, 2014. "Commuting Time and Labour Supply in the Netherlands A Time Use Study," Journal of Transport Economics and Policy, University of Bath, vol. 48(3), pages 409-426, September.
    38. Holian, Matthew J. & Kahn, Matthew E., 2015. "Household carbon emissions from driving and center city quality of life," Ecological Economics, Elsevier, vol. 116(C), pages 362-368.
    39. repec:hal:spmain:info:hdl:2441/10084 is not listed on IDEAS
    40. Dahl, Carol & Sterner, Thomas, 1991. "Analysing gasoline demand elasticities: a survey," Energy Economics, Elsevier, vol. 13(3), pages 203-210, July.
    41. Gössling, Stefan & Choi, Andy S., 2015. "Transport transitions in Copenhagen: Comparing the cost of cars and bicycles," Ecological Economics, Elsevier, vol. 113(C), pages 106-113.
    42. Van Ommeren, Jos & Rietveld, Piet, 2005. "The commuting time paradox," Journal of Urban Economics, Elsevier, vol. 58(3), pages 437-454, November.
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    More about this item

    Keywords

    commuting time; public transport; walking/cycling; gasoline taxes;
    All these keywords.

    JEL classification:

    • D1 - Microeconomics - - Household Behavior
    • Q4 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy
    • R4 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics

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