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Population and geography do matter for sustainable development

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  • La Torre, Davide
  • Liuzzi, Danilo
  • Marsiglio, Simone

Abstract

We analyze the spatio-temporal dynamics of a simple model of macroeconomic geography in which demography and pollution dynamics mutually affect each other. Pollution, by reducing the carrying capacity of the natural environment – which determines the maximum amount of people a given location can effectively bear – crucially affects labor force dynamics which in turn alter the amount of resources available for abatement activities aiming to reduce pollution. Such mutual links determine the eventual sustainability of the development process in different locations and economies, and spatial interactions further complicate the picture. We show that neglecting the existence of mutual feedback between population and pollution leads to misleading conclusions about the eventual sustainability of a specific location. We also show that even neglecting the existence of spatial externalities can lead to misleading conclusions about the sustainability of different regions in the spatial economy. This suggests thus that both the nature of the population and pollution relationship and geographical factors may play a critical role in the process of sustainable development.

Suggested Citation

  • La Torre, Davide & Liuzzi, Danilo & Marsiglio, Simone, 2019. "Population and geography do matter for sustainable development," Environment and Development Economics, Cambridge University Press, vol. 24(2), pages 201-223, April.
    • Handle: RePEc:cup:endeec:v:24:y:2019:i:02:p:201-223_00
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    Citations

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    Cited by:

    1. Herb Kunze & Davide La Torre & Simone Marsiglio, 2019. "A Multicriteria Macroeconomic Model with Intertemporal Equity and Spatial Spillovers," Papers 1911.08247, arXiv.org.
    2. Torre, Davide La & Liuzzi, Danilo & Marsiglio, Simone, 2021. "Transboundary pollution externalities: Think globally, act locally?," Journal of Mathematical Economics, Elsevier, vol. 96(C).
    3. Davide La Torre & Danilo Liuzzi & Simone Marsiglio, 2022. "Geographical heterogeneities and externalities in an epidemiological‐macroeconomic framework," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 24(5), pages 1154-1181, October.
    4. Herb Kunze & Davide Torre & Simone Marsiglio, 2022. "Sustainability and spatial spillovers in a multicriteria macroeconomic model," Annals of Operations Research, Springer, vol. 311(2), pages 1067-1084, April.
    5. Berenguer, M.I. & Gámez, D. & Kunze, H. & La Torre, D. & Ruiz Galán, M., 2024. "Solving direct and inverse problems for Fredholm-type integro-differential equations with application to pollution diffusion modeling," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 223(C), pages 394-404.
    6. Wu, Tong & Rocha, Juan C. & Berry, Kevin & Chaigneau, Tomas & Hamann, Maike & Lindkvist, Emilie & Qiu, Jiangxiao & Schill, Caroline & Shepon, Alon & Crépin, Anne-Sophie & Folke, Carl, 2024. "Triple Bottom Line or Trilemma? Global Tradeoffs Between Prosperity, Inequality, and the Environment," World Development, Elsevier, vol. 178(C).
    7. Bucci, Alberto & La Torre, Davide & Liuzzi, Danilo & Marsiglio, Simone, 2019. "Financial contagion and economic development: An epidemiological approach," Journal of Economic Behavior & Organization, Elsevier, vol. 162(C), pages 211-228.

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