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Domestic Value Added as an Indicator for Sustainability Assessment – a Case Study on Alternative Drivetrains in the Passenger Car Sector

Abstract In order to broaden the economic pillar in sustainability assessment the indicator ‘domestic value added’ is introduced. ‘Domestic value added’ aims at comparing technologies with regards to their prospective influence on the added value of a country. This is done by classifying a technology’s value added to the developed categories domestic, potential domestic and non-domestic. Within this paper methods for estimating this indicator are introduced. Two methods are proposed, presented and assessed especially considering their applicability in a sustainability assessment context. Both methods are tested on a case study comparing two alternative drivetrain technologies for the passenger car sector (battery and fuel cell electric vehicle) to the conventionally used internal combustion engine. The first method is based on a classic economic assessment whereas the second is based on Input Output analysis. The results show, that from a ‘domestic value added’ perspective the battery electric vehicle is already more advantageous than the conventionally used internal combustion engine in percentage and absolute numbers. Fuel cell electric vehicles have the highest potential to increase their ‘domestic value added’ share in the future. This paper gives practical information on how to prospectively assess ‘domestic value added’ due to substituting existing with less developed technologies or innovation.
Technology, ddc:600, 330, info:eu-repo/classification/ddc/690, 600, info:eu-repo/classification/ddc/600
Technology, ddc:600, 330, info:eu-repo/classification/ddc/690, 600, info:eu-repo/classification/ddc/600
citations 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).5 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).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
