game theory in the field of energy efficiency: analysis of the industrial dynamicas in the search of an effective Nash Equilibrium
This research describes “The Game of Energy Efficiency”. Here, it is analyzed the importance of the system of incentives suggested by the State and the conditions of the markets to encourage investment decisions in two industrial areas that produce complementary goods. This kind of games allows to a...
| Autor principal: | |
|---|---|
| Formato: | Artículo revista |
| Lenguaje: | Español |
| Publicado: |
Escuela de Perfeccionamiento en Investigación Operativa
2018
|
| Materias: | |
| Acceso en línea: | https://revistas.unc.edu.ar/index.php/epio/article/view/22213 |
| Aporte de: |
| id |
I10-R359-article-22213 |
|---|---|
| record_format |
ojs |
| spelling |
I10-R359-article-222132018-12-03T15:51:15Z game theory in the field of energy efficiency: analysis of the industrial dynamicas in the search of an effective Nash Equilibrium Teoría de juegos en el campo de la eficiencia energética: análisis de la dinámica industrial en la búsqueda de un Equilibrio de Nash Eficiente Camarda, Maximiliano game theory Prisoner´s Dilemma program of energy efficiency system of incentives sustainable economic development teoría de juegos dilema del prisionero programa de eficiencia energética sistema de incentivos desarrollo económico sustentable This research describes “The Game of Energy Efficiency”. Here, it is analyzed the importance of the system of incentives suggested by the State and the conditions of the markets to encourage investment decisions in two industrial areas that produce complementary goods. This kind of games allows to analyze the industrial dynamics in the process of searching an effective Nash Equilibrium; determining the differences that exist as to an optimal situation in energy, economic and environmental matters. From this perspective, the role of the State is essential to achieve significant levels of energy and economic savings and a reduction of greenhouse gases (GHG); as well as to increase the grade of industry competitiveness and the general economy efficiency. In this sense, the Game of Energy Efficiency along with Artificial Intelligence (Machine Learning) allows to develop a proactive approach in the field of public policies, establishing alerts as for the design, application and control of highly effective systems of incentives in order to modify the behavior patterns of economic markets leading them to the paths of Sustainable Economic Development. En el presente trabajo se describe “El Juego de la Eficiencia Energética”, aquí se analiza la importancia del sistema de incentivos propuesto por el Estado y las condiciones de los mercados para fomentar las decisiones de inversión en Proyectos de Eficiencia Energética (PEE) en dos sectores industriales que producen bienes complementarios. Este tipo de juegos, permite analizar la dinámica industrial en los procesos de búsqueda de un “equilibrio de Nash eficiente”, determinando las diferencias existentes respecto de una situación óptima en materia energética, económica y ambiental. Desde esta perspectiva, el rol del Estado para lograr niveles significativos de ahorro energético, económico y reducción de gases de efecto invernadero (GEI), así como para incrementar el grado de competitividad de la Industria y la eficiencia general de la economía, es imprescindible. En este sentido, el Juego de la Eficiencia Energética, junto a herramientas como la Inteligencia Artificial (Machine Learning) permiten desarrollar un enfoque proactivo en el campo de las políticas públicas, estableciendo sensores de alerta en cuanto al diseño, implementación y control de un “sistema de incentivos” altamente efectivo, con el fin de modificar los patrones de comportamiento de los agentes económicos de mercado encauzándolos sobre la senda del Desarrollo Económico Sustentable. Escuela de Perfeccionamiento en Investigación Operativa 2018-11-30 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://revistas.unc.edu.ar/index.php/epio/article/view/22213 Revista de la Escuela de Perfeccionamiento en Investigación Operativa; Vol. 26 Núm. 44 (2018): Noviembre; 41-60 1853-9777 0329-7322 spa https://revistas.unc.edu.ar/index.php/epio/article/view/22213/21814 |
| institution |
Universidad Nacional de Córdoba |
| institution_str |
I-10 |
| repository_str |
R-359 |
| container_title_str |
Revista de la Escuela de Perfeccionamiento en Investigación Operativa |
| language |
Español |
| format |
Artículo revista |
| topic |
game theory Prisoner´s Dilemma program of energy efficiency system of incentives sustainable economic development teoría de juegos dilema del prisionero programa de eficiencia energética sistema de incentivos desarrollo económico sustentable |
| spellingShingle |
game theory Prisoner´s Dilemma program of energy efficiency system of incentives sustainable economic development teoría de juegos dilema del prisionero programa de eficiencia energética sistema de incentivos desarrollo económico sustentable Camarda, Maximiliano game theory in the field of energy efficiency: analysis of the industrial dynamicas in the search of an effective Nash Equilibrium |
| topic_facet |
game theory Prisoner´s Dilemma program of energy efficiency system of incentives sustainable economic development teoría de juegos dilema del prisionero programa de eficiencia energética sistema de incentivos desarrollo económico sustentable |
| author |
Camarda, Maximiliano |
| author_facet |
Camarda, Maximiliano |
| author_sort |
Camarda, Maximiliano |
| title |
game theory in the field of energy efficiency: analysis of the industrial dynamicas in the search of an effective Nash Equilibrium |
| title_short |
game theory in the field of energy efficiency: analysis of the industrial dynamicas in the search of an effective Nash Equilibrium |
| title_full |
game theory in the field of energy efficiency: analysis of the industrial dynamicas in the search of an effective Nash Equilibrium |
| title_fullStr |
game theory in the field of energy efficiency: analysis of the industrial dynamicas in the search of an effective Nash Equilibrium |
| title_full_unstemmed |
game theory in the field of energy efficiency: analysis of the industrial dynamicas in the search of an effective Nash Equilibrium |
| title_sort |
game theory in the field of energy efficiency: analysis of the industrial dynamicas in the search of an effective nash equilibrium |
| description |
This research describes “The Game of Energy Efficiency”. Here, it is analyzed the importance of the system of incentives suggested by the State and the conditions of the markets to encourage investment decisions in two industrial areas that produce complementary goods. This kind of games allows to analyze the industrial dynamics in the process of searching an effective Nash Equilibrium; determining the differences that exist as to an optimal situation in energy, economic and environmental matters. From this perspective, the role of the State is essential to achieve significant levels of energy and economic savings and a reduction of greenhouse gases (GHG); as well as to increase the grade of industry competitiveness and the general economy efficiency. In this sense, the Game of Energy Efficiency along with Artificial Intelligence (Machine Learning) allows to develop a proactive approach in the field of public policies, establishing alerts as for the design, application and control of highly effective systems of incentives in order to modify the behavior patterns of economic markets leading them to the paths of Sustainable Economic Development. |
| publisher |
Escuela de Perfeccionamiento en Investigación Operativa |
| publishDate |
2018 |
| url |
https://revistas.unc.edu.ar/index.php/epio/article/view/22213 |
| work_keys_str_mv |
AT camardamaximiliano gametheoryinthefieldofenergyefficiencyanalysisoftheindustrialdynamicasinthesearchofaneffectivenashequilibrium AT camardamaximiliano teoriadejuegosenelcampodelaeficienciaenergeticaanalisisdeladinamicaindustrialenlabusquedadeunequilibriodenasheficiente |
| first_indexed |
2024-09-03T22:23:24Z |
| last_indexed |
2024-09-03T22:23:24Z |
| _version_ |
1809215341556924416 |