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RESEARCH PRODUCT
Optimal Sustainable Policies Under Pollution Ceiling: the Demographic Side
Blanca MartínezRaouf BoucekkineJosé Ramón Ruiz-tamaritsubject
Economic growthEngineeringNatural resource economicsPopulationLimits to growth Sustainable policy Optimal growth Demographic dynamics Pollution ceilingLimits to growthpollution ceiling[SHS]Humanities and Social SciencesDemographic dynamicslimits to growth11. SustainabilityOptimal growthPer capitaPopulation growthsustainable policyeducation[SHS.ECO] Humanities and Social Sciences/Economics and FinanceConsumption (economics)education.field_of_studylimits to growthsustainable policyoptimal growthdemographic dynamicspollution ceilingTechnological changebusiness.industryApplied MathematicsPopulation sizePollution ceiling15. Life on land[SHS.ECO]Humanities and Social Sciences/Economics and FinanceTechnical progressProjections of population growth13. Climate actionModeling and SimulationSustainable policybusinessoptimal growthdemographic dynamicsdescription
AD; International audience; We study optimal sustainable policies in a benchmark logistic world (where both population and technological progress follow logistic laws of motion) subject to a pollution ceiling. The main policy in the hands of the benevolent planner is pollution abatement, ultimately leading to the control of a dirtiness index as in the early literature of the limits to growth literature. Besides inclusion of demographic dynamics, we also hypothesize that population size affects negatively the natural regeneration or assimilation rate, as a side product of human activities (like increasing pollution, deforestation, ...). We first characterize optimal sustainable policies. Under certain conditions, the planner goes to the pollution ceiling value and stays on, involving a more stringent environmental policy and a sacrifice in terms of consumption per capita. Second, we study how the sustainable problem is altered when we depart from the logistic world by considering exponential technical progress (keeping population growth logistic). It's shown that, as expected, introducing such an asymmetry widens the margins of optimal policies as sustainable environmental policies are clearly less stringent under exponential technical progress. Third we connect our model to the data, using in particular UN population projections.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2014-01-01 |