scholarly journals Improvement of the Ecological Protection Compensation Policy for Adjustment of Planting Structure in an Area of Groundwater Overexploitation: A Tripartite Evolutionary Game Study

Author(s):  
Yuan Xiu ◽  
Ni Wang ◽  
Jiancang Xie ◽  
Xinyue Ke
2011 ◽  
Vol 243-249 ◽  
pp. 5314-5320
Author(s):  
Wei Zheng Pei ◽  
Jia Li ◽  
Huan Wang ◽  
Yong Li

Based on the strategy of development priority zones and the requirements of regional policies in China, this paper discusses the main function orientation of ecologically-vulnerable areas of northwestern Sichuan in its social and economic development. A series of development strategies in terms of regional industry development, population distribution, ecological restoration and protection are put forward. Several environmental policies are discussed, such as building up the opening ecological protection mechanism, further improving ecological compensation policy and the establishment of green GDP system. This work has positive theoretical and realistic significance for us to seize the opportunities of the new round of West Development, promote the coordinated development of Sichuan and ensure the ecological safety of the Yangtze River and the Yellow River.


2019 ◽  
Vol 2019 ◽  
pp. 1-17
Author(s):  
Zhu Bai ◽  
Mingxia Huang ◽  
Shuai Bian ◽  
Huandong Wu

The emergence of online car-hailing service provides an innovative approach to vehicle booking but has negatively influenced the taxi industry in China. This paper modeled taxi service mode choice based on evolutionary game theory (EGT). The modes included the dispatching and online car-hailing modes. We constructed an EGT framework, including determining the strategies and the payoff matrix. We introduced different behaviors, including taxi company management, driver operation, and passenger choice. This allowed us to model the impact of these behaviors on the evolving process of service mode choice. The results show that adjustments in taxi company, driver, and passenger behaviors impact the evolutionary path and convergence speed of our evolutionary game model. However, it also reveals that, regardless of adjustments, the stable states in the game model remain unchanged. The conclusion provides a basis for studying taxi system operation and management.


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