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ID:
150432
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Summary/Abstract |
Road transport is one of the sectors with highest energy consumptions in the planet, with large dependence of fossil fuels, and contribution for global greenhouse gas emissions. Although, Latin America is not a high-energy consumer, its share in global consumption is expected to grow, especially in the transportation sector. This make essential for developing countries the adoption of better policies to identify the vehicle groups with largest fuel demands. The present study describes the VKT technique to disaggregate road transport energy consumption by vehicle type, applied to the road transportation system of Ecuador. It also describes the procedures performed to estimate the variables required to run the model, and some of the practical applications that be used to create public policies. Results show as the biggest fuel consumers the heavy-duty freight cargo, followed by light duty vehicles. The estimation of greenhouse gas emissions evidence that road transport released 14.3 million tons of CO2 in 2012. When fuel consumption is compared by it costs, it can be confirmed that Ecuadorean Government covered, through subsidies, for 68% of the annual fuel costs of national road transport, demonstrating the importance of restructuring these expenditures in order to achieve an efficient road transport system.
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2 |
ID:
111313
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Publication |
2012.
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Summary/Abstract |
The objective of this paper is to analyze the impact of changes in fuel prices and fuel intensity (i.e. liters of fuel used per 100 kilometers) on overall fuel (gasoline and diesel) consumption and on the demand for vehicle km driven in car passenger transport. This is important for deriving effective policy portfolios consisting of fuel taxes and technical standards such as fuel intensity mandates or specific CO2 emission limits.
To extract these impacts, we apply cointegration analyses to six European countries and their aggregate over the period 1970-2007. We consider the impact of fuel prices, household income and fuel intensity on fuel consumption. Furthermore, we investigate how changes in fuel prices and fuel intensity interact, analyzing the rebound effect due to lower fuel intensity and due to the switch to diesel.
Because we find a high rebound effect with 44% more km driven if fuel intensity is improved 100%, the major conclusion of our analysis for policy makers is that technical standards as the only policy instrument will have limited success. Rather we recommend increased fuel taxes along with fuel intensity standards so that the taxes compensate for the rebound due to the standards.
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