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Is Sprawling Residential Behavior Influenced by Climate?

Author

Listed:
  • Cyrus Grout
  • Jean Cavailhès
  • Cécile Détang-Dessendre
  • Alban Thomas

Abstract

This paper addresses the question of a causal link between climate and urban sprawl by focusing on the role local climate plays in determining household behavior regarding housing decisions. We consider the hypothesis that under warmer climates, households exhibit “sprawling behavior†: they locate in larger plots, farther away from city centers. This hypothesis is tested empirically on household data by controlling for sample selection in simultaneous equations for housing size and distance to city center. We find evidence that such sprawling behavior is related to climate, suggesting that global warming and urban sprawl reinforce each other.

Suggested Citation

  • Cyrus Grout & Jean Cavailhès & Cécile Détang-Dessendre & Alban Thomas, 2016. "Is Sprawling Residential Behavior Influenced by Climate?," Land Economics, University of Wisconsin Press, vol. 92(2), pages 203-219.
  • Handle: RePEc:uwp:landec:v:92:y:2016:i:2:p:203-219
    Note: DOI: 10.3368/le.92.2.203
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    Cited by:

    1. Veron, Emilien, 2022. "Comparative analysis of revenue and land prices between organic and conventional farming," 96th Annual Conference, April 4-6, 2022, K U Leuven, Belgium 320734, Agricultural Economics Society - AES.
    2. León, Carmelo J. & Hernández-Alemán, Anastasia & Fernández-Hernández, Carlos & Araña, Jorge E., 2023. "Are rural residents willing to trade-off higher noise for lower air pollution? Evidence from revealed preferences," Ecological Economics, Elsevier, vol. 207(C).
    3. Détang-Dessendre, Cécile & Partridge, Mark D. & Piguet, Virginie, 2016. "Local labor market flexibility in a perceived low migration country: The case of French labor markets," Regional Science and Urban Economics, Elsevier, vol. 58(C), pages 89-103.

    More about this item

    JEL classification:

    • C34 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Truncated and Censored Models; Switching Regression Models
    • R14 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Land Use Patterns

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