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Pollution diffusion and abatement activities across space and over time

D. La Torre
•
D. Liuzzi
•
S. Marsiglio
2015
  • journal article

Periodico
MATHEMATICAL SOCIAL SCIENCES
Abstract
We analyze the spatio-temporal dynamics of capital and pollution in an economic growth model with purposive environmental protection activities. The production process of a unique homogeneous good generates pollution, thus the increases in output associated with economic growth tend to rise the stock of pollution. Pollution is a negative production externality which thus feeds back on the economy lowering the level of output; in order to compensate for such a negative effect associated with economic development, pollution is reduced by publicly funded abatement activities. We firstly consider a Solow-type framework in which economic and environmental policies are completely exogenous, and then we move to a Ramsey-type context in which they are endogenously determined. We analyze the spatio-temporal dynamics of the model economy through numerical simulations, and we consider two different specifications of the production function (a globally concave and a convex-concave technology) in order to stress the role that eventual poverty traps might play on both economic and environmental outcomes. We show that in the convex-concave technology framework, whenever rich regions are substantially rich diffusion can help poor regions to escape their poverty traps; if however they are not rich enough diffusion might condemn also rich regions to collapse. However, even if rich regions are particularly rich whenever the pollution externality is strong, the whole spatial economy might be doomed to collapse.
DOI
10.1016/j.mathsocsci.2015.09.001
WOS
WOS:000366769700006
Archivio
http://hdl.handle.net/11368/2956315
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-84944186576
https://doi.org/10.1016/j.mathsocsci.2015.09.001
Diritti
open access
license:copyright editore
license:creative commons
license uri:http://creativecommons.org/licenses/by-nc-nd/4.0/
FVG url
https://arts.units.it/request-item?handle=11368/2956315
Soggetti
  • Statistic

  • Probability and Uncer...

  • Social Sciences (all)...

  • Psychology (all)

  • Sociology and Politic...

Web of Science© citazioni
25
Data di acquisizione
Mar 22, 2024
Visualizzazioni
4
Data di acquisizione
Apr 19, 2024
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