Evolutionary game analysis of green industry development in the age of sharing economy

2021 ◽  
pp. 1-15
Author(s):  
Lu Huang ◽  
Lihua Wang ◽  
Zhusheng Liu ◽  
Yujie Li
Keyword(s):  
Evolutionary Game ◽  
Sharing Economy ◽  
Industry Development ◽  
Game Analysis ◽  
Green Industry

scholarly journals Social Energy as the Driving Force behind Crowdfunding—Analysis and Classification of Selected Attributes

Energies ◽  
2021 ◽  
Vol 14 (19) ◽  
pp. 6062
Author(s):  
Agnieszka Szewczyk ◽  
Zbigniew Stempnakowski
Keyword(s):  
Evolutionary Game ◽  
Sharing Economy ◽  
Cross Sectional ◽  
Cereal Products ◽  
Game Analysis ◽  
Original Algorithm ◽  
Corporate Social ◽  
The Impact ◽  
The Relationship

Crowdfunding has been part of sharing economy for a few decades. Research into crowdfunding usually concerns its relation to sustainable development and corporate social responsibility, influencing investment decisions, psychological, organizational and financial aspects or the success evaluation of individual campaigns or platforms. Recent research includes empirical case studies, e.g., evaluation of the crowdfunding for minor coarse cereal products through evolutionary game analysis, or the impact of crowdfunding on the willingness to visit local festivals. There is, however, no comprehensive cross-sectional approach to crowdfunding attributes that considers data from various categories. The authors aimed to analyze selected attributes of crowdfunding, namely project categories, the number of backers, campaign duration and profitability, and to classify these attributes. A novelty is the use of the term “social energy” in a different sense than previously found in the scientific literature. An original algorithm for analyzing and classifying selected crowdfunding attributes and measuring the relationship between them was also used. The value of the article is also the practical application of its results. The findings have a practical outcome: they can be used by project creators, potential backers, investors and owners of crowdfunding platforms.

Evolutionary game analysis of information sharing by institutional investors

2021 ◽  
pp. 1-9
Author(s):  
Hua Li ◽  
Qingqing Lou ◽  
Qiubai Sun ◽  
Bowen Li
Keyword(s):  
Information Sharing ◽  
Institutional Investors ◽  
Information Exchange ◽  
Evolutionary Game ◽  
Stable State ◽  
Point Of View ◽  
Game Model ◽  
Game Analysis ◽  
Relationship Network ◽  
The Relationship

In order to solve the conflict of interests of institutional investors, this paper uses evolutionary game model. From the point of view of information sharing, this paper discusses four different situations. Only when the sum of risk and cost is less than the penalty of free riding, the evolution of institutional investors will eventually incline to the stable state of information sharing. That is, the phenomenon of hugging. The research shows that the institutional investors are not independent of each other, but the relationship network of institutional investors for the purpose of information exchange. The content of this paper enriches the research on information sharing of institutional investors.

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