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Carbon tax effects on the poor: a SAM-based approach

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Carbon tax effects on the poor: a SAM-based approach
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19
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CC Attribution 3.0 Unported:
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A SAM-based price model for Mexico is developed in order to assess the effects of the carbon tax, which was part of the fiscal reform approved in 2014. The model is formulated based on a social accounting matrix (SAM) that distinguishes households by the official poverty condition and geographical area. The main results are that the sector that includes coke, refined petroleum and nuclear fuel shows the highest price increase due to the direct impact of the carbon tax; in addition, air transport and inland transport are the most affected sectors, in an indirect manner, because both employ inputs from the former sector. Also, it is found that welfare diminishes more in the rural strata than in the urban one. In the urban area, the carbon tax is regressive: the negative impact of carbon tax on family welfare is greater on the poorest families.
Electric power distributionEffects unitVideoAnalemmaComputer animation
EmissionsvermögenFossil fuelNoise reductionInternal combustion engineStellar atmosphereNanotechnologyGlobal warmingComputer animation
NegationAtmosphere of EarthRenewable energyEmissionsvermögenFossil fuelNoise reductionOrder and disorder (physics)
MeasurementHot workingComputer animation
MeasurementPetroleum engineeringBauxitbergbauNuclear powerFuelModel buildingEffects unitTypesettingNanotechnologyOrder and disorder (physics)Impact event
MeasurementPetroleum engineeringBauxitbergbauFuelNuclear powerEffects unitImpact eventContrast (vision)Fossil fuelBauxitbergbauExtraction of petroleumFaxNuclear fuelPetroleum engineeringFACTS (newspaper)QuarryNuclear powerProgram flowchartComputer animation
NanotechnologyEffects unitEnergy levelBauxitbergbauTypesettingNuclear fuelVideoWeightElectricityCoalAtmosphere of EarthImpact eventPetroleum engineering
MoonCannonCamshaftEffects unitScanning acoustic microscopeImpact eventPattern (sewing)TypesettingNanotechnologyDiagram
Transcript: English(auto-generated)