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Research of Renewable Resources Market based on Logistic Model of Different Property Right System

Authors :
Yao Li
Peng Sun
Junjie Liu
Xinyu Wei
Source :
Proceedings of the 2016 International Conference on Economy, Management and Education Technology.
Publication Year :
2016
Publisher :
Atlantis Press, 2016.

Abstract

This paper uses Logistic model for renewable energy markets under different ownership systems were studied. Logistic model is one of the core theoretical ecology Population Growth Model. According to the market characteristics of renewable energy, our coverage under different ownership system of renewable resources is into the oligopoly market. Through the establishment of a linear dynamic system, the Logistic model was added thereto, analyzed under different ownership systems dynamic Nash equilibrium, and numerical simulation test. Conclusion: (1) Under private ownership, while alive fixation rate of natural increase, the equilibrium point (0,0); endogenous natural growth rate is variable: the overall image offset occurs. In the numerical simulation, changes from 0 to 0.8333, changes from 0 to 1.3333, indicating that in a changing market, the impact of the dynamics of the natural growth rate of renewable resources market equilibrium can not be ignored, and the increase in the number of manufacturer resources sustainable use of both the potential positive effects, may bring negative effects. (2) Under public ownership, within the natural growth rate of raw fixed discount rate of two intersection (2.5,3.1); changes and is declining. In the numerical simulation, from the intersection of (2.5,3.1) down to (1.2,0.7), indicating an increase in the number of manufacturers will give sustainable use of resources brought about negative effects, and when it reaches a certain number, the ecological disaster will be inevitable.

Details

Database :
OpenAIRE
Journal :
Proceedings of the 2016 International Conference on Economy, Management and Education Technology
Accession number :
edsair.doi...........8a557602b3217d64c35caf1e3797b271
Full Text :
https://doi.org/10.2991/icemet-16.2016.281