EconPapers    
Economics at your fingertips  
 

Environmental feedback and cooperation in climate change dilemma

Jinhua Zhao, Xianjia Wang, Lei Niu and Cuiling Gu

Applied Mathematics and Computation, 2021, vol. 397, issue C

Abstract: This paper formulates the climate change dilemma as an adaption of public goods game. The Nash equilibrium of the climate change dilemma is analyzed in the cases of discrete contribution and continuous contribution. Analytic results show that environmental feedback promotes cooperation to a certain extent, but as the number of players increases, zero contribution becomes the only Nash equilibrium in most cases. A dynamic model based on Particle Swarm Optimization algorithm is then proposed for the climate change dilemma, where the information exchange is restricted by a network. Simulation results show that the proposed dynamic model can effectively promote cooperation, especially in the case of continuous contribution, and making decisions based on historical information can largely boost the average contribution.

Keywords: Climate change dilemma; Public goods game; Environmental feedback; Cooperation (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0096300321000114
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:397:y:2021:i:c:s0096300321000114

DOI: 10.1016/j.amc.2021.125963

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 ().

 
Page updated 2025-03-19
Handle: RePEc:eee:apmaco:v:397:y:2021:i:c:s0096300321000114