HighlightsWe compare transport fuel demand elasticities to income and fuel price paths in IAMsProjected oil elasticities in the short term are similar to empirical elasticities.In the long term, the projected range of oil elasticities diverges.Transport service demand is more responsive to income than to changes in fuel prices.Demand elasticities prove to be a useful diagnostic indicator to test model results.

    AbstractIncome and fuel price pathways are key determinants in projections of the energy system in integrated assessment models. In recent years, more details have been added to the transport sector representation in these models. To better understand the model dynamics, this manuscript analyses transport fuel demand elasticities to projected income and fuel price levels. Fuel price shocks were simulated under various scenario assumptions to isolate price effects on energy demand and create a transparent environment to compare fuel demand response. Interestingly, the models show very comparable oil price elasticity values for the projected first 10–20years that are also close to the range described in the empirical literature. When looking at the very long term (30–40years), demand elasticity values widely vary between models, between 0.4 and −1.9, showing either continuous demand or increased demand responses over time. The latter can be the result of long response time to fuel price shocks, availability of new technologies, and feedback effects on fuel prices. The projected transport service demand is more responsive to changes in income than fuel price pathways, corresponding with the literature. Calculating the models' inherent elasticities proved to be a suitable method to evaluate model behaviour and its application is also recommended for other models as well as other sectors represented in integrated assessment models.


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    Title :

    Transport fuel demand responses to fuel price and income projections: Comparison of integrated assessment models


    Contributors:


    Publication date :

    2017-03-05


    Size :

    12 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English