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Pollution and Land Use: Optimum and Decentralization

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  • Oded Hochman

    (Department of Economics, Ben Gurion University of the Negev)

  • Gordon Rausser

    (University of California, Berkeley)

  • Richard Arnott

    (Department of Economics, University of California Riverside)

Abstract

Space matters not only by inducing transport costs but also by mitigating pollution damages. Previous models of pollution either disregard space altogether or presume a predetermined separation between polluters and pollutees. In our model, workers commute to factories and all possible location combinations of housing and industry around a circle are considered. We investigate optimal allocations and their decentralization. The tradeoff between pollution costs and transport costs, along with the non-convexity inherent in spatial models, results in multiple local optima. With negligible commuting costs, the optimal allocation has one industrial and one residential zone. As commuting costs increase, the number of zones of each type increases until an allocation is reached in which housing and industry are completely intermixed. The global optimal allocation is decentralized by imposing a tax per unit area of industrial land at a particular location equal to the total damage caused by the pollution from that unit area, evaluated at the global optimum. Location-specific Pigouvian taxes by themselves are inefficient.
(This abstract was borrowed from another version of this item.)
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Oded Hochman & Gordon Rausser & Richard Arnott, 2008. "Pollution and Land Use: Optimum and Decentralization," Working Papers 200805, University of California at Riverside, Department of Economics, revised Mar 2008.
  • Handle: RePEc:ucr:wpaper:200805
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    References listed on IDEAS

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    Cited by:

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    2. Zhang, Bin & Xin, Qingyao & Chen, Siyuan & Yang, Zhiying & Wang, Zhaohua, 2024. "Urban spatial structure and commuting-related carbon emissions in China: Do monocentric cities emit more?," Energy Policy, Elsevier, vol. 186(C).
    3. Camille Regnier & Sophie Legras, 2018. "Urban Structure and Environmental Externalities," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 70(1), pages 31-52, May.
    4. Simon Levin & A. Xepapadeas, 2015. "Transboundary Capital and Pollution Flows and the Emergence of Regional Inequalities," Working Papers 2015.69, Fondazione Eni Enrico Mattei.
    5. Legras, Sophie, 2015. "Correlated environmental impacts of wastewater management in a spatial context," Regional Science and Urban Economics, Elsevier, vol. 52(C), pages 83-92.
    6. Kyriakopoulou , Efthymia & Xepapadeas, Anastasios, 2014. "Atmospheric Pollution in Rapidly Growing Urban Centers: Spatial Policies and Land Use Patterns," Working Papers in Economics 601, University of Gothenburg, Department of Economics.
    7. Kyriakopoulou, Efthymia & Picard, Pierre M., 2021. "On the design of sustainable cities: Local traffic pollution and urban structure," Journal of Environmental Economics and Management, Elsevier, vol. 107(C).
    8. Boucekkine, Raouf & Fabbri, Giorgio & Federico, Salvatore & Gozzi, Fausto, 2022. "Managing spatial linkages and geographic heterogeneity in dynamic models with transboundary pollution," Journal of Mathematical Economics, Elsevier, vol. 98(C).
    9. William Brock & Anastasios Xepapadeas, 2020. "Spatial Environmental and Resource Economics," DEOS Working Papers 2002, Athens University of Economics and Business.
    10. Martin F. Quaas & Sjak Smulders, 2018. "Brown Growth, Green Growth, and the Efficiency of Urbanization," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 71(2), pages 529-549, October.
    11. Kyriakopoulou, Efthymia & Xepapadeas, Anastasios, 2013. "Spatial Policies and Land Use Patterns: Optimal and market allocations," Working Papers in Economics 566, University of Gothenburg, Department of Economics.
    12. Bahlali, Mohamed & Petit, Quentin, 2024. "An equilibrium model of city with atmospheric pollution dispersion," Journal of Mathematical Economics, Elsevier, vol. 111(C).
    13. Schindler, Mirjam & Caruso, Geoffrey & Picard, Pierre, 2017. "Equilibrium and first-best city with endogenous exposure to local air pollution from traffic," Regional Science and Urban Economics, Elsevier, vol. 62(C), pages 12-23.
    14. Hochman, Oded, 2011. "Efficient agglomeration of spatial clubs," Journal of Urban Economics, Elsevier, vol. 69(1), pages 118-135, January.
    15. Wu, JunJie & Segerson, Kathleen & Wang, Chunhua, 2023. "Is environmental regulation the answer to pollution problems in urbanizing economies?," Journal of Environmental Economics and Management, Elsevier, vol. 117(C).
    16. Hirte, Georg & Tscharaktschiew, Stefan, 2015. "Does labor supply modeling affect findings of transport policy analyses?," Dresden Discussion Paper Series in Economics 01/15, Technische Universität Dresden, Faculty of Business and Economics, Department of Economics.
    17. Kyriakopoulou, Efthymia & Xepapadeas, Anastasios, 2013. "Environmental policy, first nature advantage and the emergence of economic clusters," Regional Science and Urban Economics, Elsevier, vol. 43(1), pages 101-116.
    18. Oded Hochman, 2012. "Welfare Estimation In A General Equilibrium Model With Cites," Working Papers 1213, Ben-Gurion University of the Negev, Department of Economics.
    19. Estay, Manuel & Stranlund, John K., 2022. "Entry, location, and optimal environmental policies," Resource and Energy Economics, Elsevier, vol. 70(C).
    20. 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.
    21. Stefano Colombo, 2016. "A Model of Three Cities," International Regional Science Review, , vol. 39(4), pages 386-416, October.
    22. Efthymia Kyriakopoulou & Anastasios Xepapadeas, 2011. "Spatial location decisions under environmental policy and housing externalities," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 13(3), pages 195-217, September.

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