The slow search for solutions: Lessons from historical energy transitions by sector and service

Fouquet, Roger

doi:10.1016/j.enpol.2010.06.029

Cited by 288 publications

(182 citation statements)

References 35 publications

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“…Aggregate transport demand offered a stable variable through periods of dramatic change. It is important to point-out that, within this framework, energy and related technological transitions have two ways to influence aggregate transport demand (Fouquet 2010): first, by reducing the costs or prices of transport services, which did occur in past transitions, and can be represented by a slide down the demand curve; and, second, through providing higher quality services, which also occurred, and might be reflected by a shift in the demand curve.…”

Section: Resultsmentioning

confidence: 99%

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Trends in income and price elasticities of transport demand (1850–2010)

Fouquet

2012

Energy Policy

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Section: Resultsmentioning

confidence: 99%

“…Mitchell"s (1988) passenger journey data was multiplied by the average length of journeys to estimate passenger transport in billions of passengerkilometres (bpk) between 1870 and 1913. To complement Munby (1978), from 1938to 2010, DoT (2002 and DfT (2011) presented direct estimates of passenger-km.…”

Section: Data Sources and Creationmentioning

confidence: 99%

Trends in income and price elasticities of transport demand (1850–2010)

Fouquet

2012

Energy Policy

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“…New energy technologies are attractive for their ability to perform a particular task or deliver a new or improved energy service (Fouquet, 2010). This is often circumscribed by a particular set of needs in a particular context: a market 'niche'.…”

Section: The Lifecycle and Diffusion Of Energy Technologiesmentioning

confidence: 99%

Up-scaling, formative phases, and learning in the historical diffusion of energy technologies

2012

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a b s t r a c tThe 20th century has witnessed wholesale transformation in the energy system marked by the pervasive diffusion of both energy supply and end-use technologies. Just as whole industries have grown, so too have unit sizes or capacities. Analysed in combination, these unit level and industry level growth patterns reveal some consistencies across very different energy technologies. First, the upscaling or increase in unit size of an energy technology comes after an often prolonged period of experimentation with many smaller-scale units. Second, the peak growth phase of an industry can lag these increases in unit size by up to 20 years. Third, the rate and timing of up-scaling at the unit level is subject to countervailing influences of scale economies and heterogeneous market demand. These observed patterns have important implications for experience curve analyses based on time series data covering the up-scaling phases of energy technologies, as these are likely to conflate industry level learning effects with unit level scale effects. The historical diffusion of energy technologies also suggests that low carbon technology policies pushing for significant jumps in unit size before a 'formative phase' of experimentation with smaller-scale units are risky.

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“…These different preferences help to explain the 'energy ladder' whereby, as consumers' incomes rise, they shift from using biomass fuels to coal and then from coal to oil, gas and electricity (Barnes andFloor 1986, Sovacool 2011). More generally, transitions to new energy sources and technologies are often associated with new attributes (Fouquet 2010). …”

Section: The Demand For New Attributes Of Energy Sources and Technolomentioning

confidence: 99%

Long-Run Demand for Energy Services: Income and Price Elasticities over Two Hundred Years

Fouquet¹

2014

Review of Environmental Economics and Policy

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The slow search for solutions: Lessons from historical energy transitions by sector and service

Cited by 288 publications

References 35 publications

Trends in income and price elasticities of transport demand (1850–2010)

Trends in income and price elasticities of transport demand (1850–2010)

Up-scaling, formative phases, and learning in the historical diffusion of energy technologies

Long-Run Demand for Energy Services: Income and Price Elasticities over Two Hundred Years

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