
ResumenEl presente artículo expone la importancia de los impuestos ambientales para la mitigación del cambio climático con un breve esbozo de su historia, y elabora una descripción distributiva de su posible impacto para México. Se realiza un análisis de la implementación de un impuesto a la gasolina, concluyendo que en países como México un impuesto de este tipo tiende a no ser regresivo. Asimismo, se estudia al ieps e iva en gasolinas para considerar cual sería el mejor modelo de imposición ambiental para México.AbstractThis article shows the relevance of environmental taxes in order to mitigate the climate change and adds a brief application of its distributive effect for Mexico. We elaborate an analysis of the implementation and impact from taxes on gasoline, concluding that in countries like Mexico a gasoline tax tends to be less regressive. vat and ieps are also considered to evaluate what kind of environmental taxation reform suits better for Mexico.
Environmental Management, Regulación y política industrial, Fiscal Policy, Gestión medioambiental, Política fiscal, Regulation and Industrial Policy
Environmental Management, Regulación y política industrial, Fiscal Policy, Gestión medioambiental, Política fiscal, Regulation and Industrial Policy
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 6 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
