An Evolutionary Game Model for Industrial Pollution Management under Two Punishment Mechanisms
Bibliographic Data
| ID | 15466846 |
|---|---|
| Authors | Chuansheng Wang (0000-0003-4340-7831, Capital University of Economics and Business), F G Shi (0000-0002-0030-988X, Capital University of Economics and Business, corresponding author) |
| Year | 2019 |
| Volume | 16 |
| Issue | 15 |
| Pages | 2775-2775 |
| Publication date | 2019-08-03 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Environmental Research and Public Health (JOURNAL) |
| Journal identifiers | ISSN: 1661-7827 • E-ISSN: 1660-4601 |
| Publisher | Multidisciplinary Digital Publishing Institute (PUBLISHER • CH) |
| DOI | 10.3390/ijerph16152775 |
| PMID | 31382549 |
| OpenAlex | W2966090533 |
| Language | EN |
| Citations received | 2 |
| References cited | 5 |
In recent years, with the rapid development of the economy, industrial pollution problems have become more and more serious. This paper constructs an evolutionary game model for industrial pollution between the local governments and enterprises to study the dynamic evolution path of a game system and the evolutionary stable strategy under two punishment mechanisms. The results show that, in a static punishment mechanism (SPM), the strategy between governments and enterprises is uncertain. Moreover, the evolutionary trajectory between governments and enterprises is uncertain. However, under the dynamic punishment mechanism (DPM), the evolution path between governments and enterprises tends to converge to a stable value. Thus, the DPM is more conducive than the SPM for industrial pollution control
Biology · Business · Economic system · Economics · Environmental pollution · Environmental protection · Evolutionarily stable strategy · Game theory · Industrial pollution · Mechanism (biology · Microeconomics · Path (computing · Punishment (psychology · Trajectory · Climate Change Policy and Economics · Computer Science · Energy, Environment, and Transportation Policies · Energy, Environment, Economic Growth · Environmental Science · Psychology · Social Psychology · Ecology · Pollution
| Unique citing works | 2 |
|---|---|
| Citations per year | 0,33 |
| Citation span | 2020 - 2020 (1) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 2 |