A mathematical model for the climate change: Can unpredictability offset the temptations to pollute?

Aleksandra Murks Bašič, Salahuddin M. Kamal, Mansour Almazroui and Fahad M. Al-Marzouki

Applied Mathematics and Computation, 2015, vol. 265, issue C, 187-195

Abstract: The climate change is an example of the biggest social dilemma in the human history. Climate change mitigation can be successful only if the whole world will undertake an internationally coordinated collective action. Costs to reduce emissions of greenhouse gases can be easily calculated for each individual, but benefits of the successful reduction will be distributed among all the “players”, independently from their actual contributions to sustainable development. Evolutionary games provide a suitable theoretical framework for studying the challenges of climate change, and we will build on this fact in the present paper to study the evolution of cooperation and discuss its implications for offsetting the temptations to pollute. It has namely become painfully clear that tackling the climate change will be costly, and accordingly, the temptations to pollute will always be present. Can the element of unpredictability that is inherently present in social interactions and the environment increase the probability of adopting the cleaner strategy? We employ the spatial prisoner's dilemma game where the cooperative behaviour is challenged by defection that promises individuals a higher fitness and is thus more likely to prevail. Obtained results are contrasted with real data and indicators of climate change.

Keywords: Climate change; Prisoner's dilemma; Evolution of cooperation; Stochasticity; Tragedy of the commons; Public goods (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0096300315006128
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:apmaco:v:265:y:2015:i:c:p:187-195

DOI: 10.1016/j.amc.2015.05.005

Access Statistics for this article

Applied Mathematics and Computation is currently edited by Theodore Simos

More articles in Applied Mathematics and Computation from Elsevier
Bibliographic data for series maintained by Catherine Liu ().