Coopetitive games for environmental sustainability: Climate change and decision global policies
Autor: | Alessia Donato, Massimo Squillante, Maria Incoronata Fredella, David Carfì |
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Rok vydání: | 2021 |
Předmět: |
Economics and Econometrics
021103 operations research Environmental Sustainability Climate change Coopetitive games Green-growth indicator Green technologies Paris Agreement COP21 Strategy and Management 05 social sciences Geography Planning and Development 0211 other engineering and technologies Climate change Context (language use) 02 engineering and technology Management Science and Operations Research Environmental economics Hydrogen vehicle Work (electrical) Order (exchange) 0502 economics and business Sustainability Business 050207 economics Statistics Probability and Uncertainty Construct (philosophy) Duopoly |
Zdroj: | Socio-Economic Planning Sciences. 75:100807 |
ISSN: | 0038-0121 |
DOI: | 10.1016/j.seps.2020.100807 |
Popis: | In this work, we propose and analyze a coopetitive model for the Climate Change environmental sustainability: a global duopoly type game structure, involving a generic type of green technological good. Our model allows to select certain strategy profile solutions within a continuous horizon of possible global scenarios, in the context of the Paris agreement COP21 and after Trump’s decision to abandon the agreement itself. More specifically, we construct a parametric coopetitive game with two great actors, US and the group of countries which still agree to COP21. The two actors of our duopoly game compete on the global market by producing and selling green technological goods (for example: electric cars, electric airplanes, hydrogen cars, solar panels, low impact batteries for smart houses, electric cars or self phones, and so on). Our multi-dimensional coopetitive model suggests possible cooperative strategies in order to improve the efficiency and strength of the actions enforced by the countries to mitigate the Climate Change catastrophic risk at the level of its causes and effects. |
Databáze: | OpenAIRE |
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