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Behaviors and housing inertia are key factors in determining the consequences of a shock in transportation costs

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  • François Gusdorf

    (CIRED - centre international de recherche sur l'environnement et le développement - Cirad - Centre de Coopération Internationale en Recherche Agronomique pour le Développement - EHESS - École des hautes études en sciences sociales - AgroParisTech - ENPC - École des Ponts ParisTech - CNRS - Centre National de la Recherche Scientifique)

  • Stéphane Hallegatte

    (CIRED - centre international de recherche sur l'environnement et le développement - Cirad - Centre de Coopération Internationale en Recherche Agronomique pour le Développement - EHESS - École des hautes études en sciences sociales - AgroParisTech - ENPC - École des Ponts ParisTech - CNRS - Centre National de la Recherche Scientifique)

Abstract

This paper investigates the consequences of a sudden increase in transportation costs when households behaviors and buildings inertia are accounted for. A theoretical framework is proposed, capturing the interactions between behaviors, transportation costs and urban structure. It is found that changes in households consumption and housing choices reduce significantly the long-term adverse effects of a shock in transportation costs. Indeed, the shock translates, over the long-run, into a more concentrated housing that limits households utility losses and maintains landowners' income. But, because of buildings inertia, the shock leads first to a long transition, during which the adjustment is constrained by a suboptimal housing-supply structure. Then, households support larger losses than in the final stage, though lower than with no adjustment at all, and landowners experience a large decrease in their aggregate income and an important redistribution of wealth. Negative transitional effects grow as the shock becomes larger. Thus, behaviors and buildings inertia are key factors in determining the vulnerability to transportation price variability and to the introduction of climate policies. Our policy conclusions are that: (i) if a long-term increase in transportation costs is unavoidable because of climate change or resource scarcity, a smooth change, starting as early as possible, must be favored; and (ii) fast-growing cities of the developing world can reduce their future vulnerability to shocks in transportation costs through the implementation of policies that limit urban sprawl.

Suggested Citation

  • François Gusdorf & Stéphane Hallegatte, 2006. "Behaviors and housing inertia are key factors in determining the consequences of a shock in transportation costs," CIRED Working Papers halshs-00096936, HAL.
  • Handle: RePEc:hal:ciredw:halshs-00096936
    Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-00096936v2
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    as
    1. Espey, Molly, 1998. "Gasoline demand revisited: an international meta-analysis of elasticities," Energy Economics, Elsevier, vol. 20(3), pages 273-295, June.
    2. Greenwood, Jeremy & Hercowitz, Zvi, 1991. "The Allocation of Capital and Time over the Business Cycle," Journal of Political Economy, University of Chicago Press, vol. 99(6), pages 1188-1214, December.
    3. Fisch, Oscar, 1977. "Dynamics of the housing market," Journal of Urban Economics, Elsevier, vol. 4(4), pages 428-447, October.
    4. Song, Yan & Zenou, Yves, 2006. "Property tax and urban sprawl: Theory and implications for US cities," Journal of Urban Economics, Elsevier, vol. 60(3), pages 519-534, November.
    5. Capozza, Dennis & Li, Yuming, 1994. "The Intensity and Timing of Investment: The Case of Land," American Economic Review, American Economic Association, vol. 84(4), pages 889-904, September.
    6. Fujita,Masahisa, 1991. "Urban Economic Theory," Cambridge Books, Cambridge University Press, number 9780521396455.
    7. Brueckner, Jan K., 1980. "A vintage model of urban growth," Journal of Urban Economics, Elsevier, vol. 8(3), pages 389-402, November.
    8. John P. Weyant, 1993. "Costs of Reducing Global Carbon Emissions," Journal of Economic Perspectives, American Economic Association, vol. 7(4), pages 27-46, Fall.
    9. Ottmar Edenhofer, Kai Lessmann, Claudia Kemfert, Michael Grubb and Jonathan Kohler, 2006. "Induced Technological Change: Exploring its Implications for the Economics of Atmospheric Stabilization: Synthesis Report from the Innovation Modeling Comparison Project," The Energy Journal, International Association for Energy Economics, vol. 0(Special I), pages 57-108.
    10. Dale W. Jorgenson & Daniel T. Slesnick & Peter J. Wilcoxen, 1992. "Carbon Taxes and Economic Welfare," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 23(1992 Micr), pages 393-454.
    11. Akerman, Jonas & Hojer, Mattias, 2006. "How much transport can the climate stand?--Sweden on a sustainable path in 2050," Energy Policy, Elsevier, vol. 34(14), pages 1944-1957, September.
    12. Renaud Crassous, Jean-Charles Hourcade, Olivier Sassi, 2006. "Endogenous Structural Change and Climate Targets Modeling Experiments with Imaclim-R," The Energy Journal, International Association for Energy Economics, vol. 0(Special I), pages 259-276.
    13. Renaud Crassous & Jean Charles Hourcade & Olivier Sassi, 2006. "Endogenous structural change and climate targets," Post-Print halshs-00009335, HAL.
    14. Mayeres, Inge & Proost, Stef, 2001. "Marginal tax reform, externalities and income distribution," Journal of Public Economics, Elsevier, vol. 79(2), pages 343-363, February.
    15. Jin, Yi & Zeng, Zhixiong, 2004. "Residential investment and house prices in a multi-sector monetary business cycle model," Journal of Housing Economics, Elsevier, vol. 13(4), pages 268-286, December.
    16. Noland, Robert B. & Cowart, William A. & Fulton, Lewis M., 2006. "Travel demand policies for saving oil during a supply emergency," Energy Policy, Elsevier, vol. 34(17), pages 2994-3005, November.
    17. R. Crassous & Jean Charles Hourcade & O. Sassi, 2006. "Endogenous structural change and climate targets modeling experiments with imaclim-R," Post-Print hal-00719272, HAL.
    18. Hourcade, Jean-Charles & Robinson, John, 1996. "Mitigating factors : Assessing the costs of reducing GHG emissions," Energy Policy, Elsevier, vol. 24(10-11), pages 863-873.
    19. Philippe Ambrosi & Jean-Charles Hourcade & Stéphane Hallegatte & Franck Lecocq & Patrice Dumas & Minh Ha Duong, 2009. "Optimal Control Models and Elicitation of Attitudes towards Climate Damages," International Series in Operations Research & Management Science, in: Jerzy A. Filar & Alain Haurie (ed.), Uncertainty and Environmental Decision Making, chapter 0, pages 177-209, Springer.
    20. Yacovissi William & Kern Clifford R., 1995. "Location and History as Determinants of Urban Residential Density," Journal of Urban Economics, Elsevier, vol. 38(2), pages 207-220, September.
    21. Renaud Crassous & Jean Charles Hourcade & Olivier Sassi, 2006. "Endogenous Structural Change and Climate Targets : Modeling experiments with Imaclim-R," Working Papers hal-00866411, HAL.
    22. Ballard, Charles L & Shoven, John B & Whalley, John, 1985. "General Equilibrium Computations of the Marginal Welfare Costs of Taxes in the United States," American Economic Review, American Economic Association, vol. 75(1), pages 128-138, March.
    23. Wheaton, William C., 1974. "A comparative static analysis of urban spatial structure," Journal of Economic Theory, Elsevier, vol. 9(2), pages 223-237, October.
    24. Brueckner, Jan K & Fansler, David A, 1983. "The Economics of Urban Sprawl: Theory and Evidence on the Spatial Sizes of Cities," The Review of Economics and Statistics, MIT Press, vol. 65(3), pages 479-482, August.
    25. McGrath, Daniel T., 2005. "More evidence on the spatial scale of cities," Journal of Urban Economics, Elsevier, vol. 58(1), pages 1-10, July.
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    Cited by:

    1. Strand, Jon & Miller, Sebastian & Siddiqui, Sauleh, 2011. "Infrastructure investments under uncertainty with the possibility of retrofit : theory and simulations," Policy Research Working Paper Series 5516, The World Bank.
    2. Francois Gusdorf & Stéphane Hallegatte & Alain Lahellec, 2007. "Time and space matter: how urban transitions create inequality," CIRED Working Papers hal-00522404, HAL.
    3. Gusdorf, Francois & Hallegatte, Stephane, 2007. "Compact or spread-out cities: Urban planning, taxation, and the vulnerability to transportation shocks," Energy Policy, Elsevier, vol. 35(10), pages 4826-4838, October.
    4. Ming-Chu Chiang & I-Chun Tsai, 2016. "Ripple effect and contagious effect in the US regional housing markets," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 56(1), pages 55-82, January.
    5. Ming-Chu Chiang & I-Chun Tsai, 2016. "Ripple effect and contagious effect in the US regional housing markets," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 56(1), pages 55-82, January.
    6. Vincent Viguie & Stéphane Hallegatte & Julie Rozenberg, 2014. "Downscaling long term socio-economic scenarios at city scale: A case study on Paris," Post-Print hal-01136217, HAL.
    7. Strand, Jon & Miller, Sebastian & Siddiqui, Sauleh, 2014. "Long-run carbon emission implications of energy-intensive infrastructure investments with a retrofit option," Energy Economics, Elsevier, vol. 46(C), pages 308-317.
    8. Viguié, Vincent & Hallegatte, Stéphane & Rozenberg, Julie, 2014. "Downscaling long term socio-economic scenarios at city scale: A case study on Paris," Technological Forecasting and Social Change, Elsevier, vol. 87(C), pages 305-324.

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