
You have already added 0 works in your ORCID record related to the merged Research product.
You have already added 0 works in your ORCID record related to the merged Research product.
<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>
Modeling population dynamics and economic growth as competing species: An application to CO2 global emissions

handle: 11336/131739
Abstract Since the beginning of the last century the world is experiencing an important demographic transition, which will probably impact on economic growth. Many demographers and social scientists are trying to understand the key drivers of such transition as well as its profound implications. A correct understanding will help to predict other important trends of the world primary energy demand and the carbon emission to the atmosphere, which may be leading to an important climate change. This paper proposes a set of coupled differential equations to describe the changes of population, gross domestic product, primary energy consumption and carbon emissions, modeled as competing species as in Lotka–Volterra prey–predator relations. The predator–prey model is well known in the biological, ecological and environmental literature and has also been applied successfully in other fields. This model proposes a new and simple conceptual explanation of the interactions and feedbacks among the principal driving forces leading to the present transition. The estimated results for the temporal evolution of world population, gross domestic product, primary energy consumption and carbon emissions are calculated from year 1850 to year 2150. The calculated scenarios are in good agreement with common world data and projections for the next 100 years.
- National Technological University Argentina
- National Technological University Argentina
- CEMA Belgium
- CEMA Belgium
- National Scientific and Technical Research Council Argentina
Treibhausgas-Emissionen, Population dynamics, economic growth, primary energy consumption, carbon emission model, Lokta-Volterra Equations, Prey-predator model., ECONOMIC GROWTH, PREY-PREDATOR MODEL, prey-predator model, carbon emission model, https://purl.org/becyt/ford/1.5, PRIMARY ENERGY CONSUMPTION, Energiekonsum, population dynamics, https://purl.org/becyt/ford/1, Bevölkerungswachstum, LOTKA-VOLTERRA EQUATIONS, primary energy consumption, CARBON EMISSION MODEL, Lokta-Volterra Equations, economic growth, POPULATION DYNAMICS, Theorie, Sozialprodukt, ddc: ddc:330
Treibhausgas-Emissionen, Population dynamics, economic growth, primary energy consumption, carbon emission model, Lokta-Volterra Equations, Prey-predator model., ECONOMIC GROWTH, PREY-PREDATOR MODEL, prey-predator model, carbon emission model, https://purl.org/becyt/ford/1.5, PRIMARY ENERGY CONSUMPTION, Energiekonsum, population dynamics, https://purl.org/becyt/ford/1, Bevölkerungswachstum, LOTKA-VOLTERRA EQUATIONS, primary energy consumption, CARBON EMISSION MODEL, Lokta-Volterra Equations, economic growth, POPULATION DYNAMICS, Theorie, Sozialprodukt, ddc: ddc:330
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).51 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
