Sustainability impacts of car road pricing: A computable general equilibrium analysis for Austria

Steininger, Karl W.; Friedl, Birgit; Gebetsroither, Brigitte

doi:10.1016/j.ecolecon.2006.09.021

Cited by 32 publications

(19 citation statements)

References 20 publications

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“…Their share is almost twice as high in Germany as in Austria, except for the top income group. (Steininger et al, 2007), own calculations.…”

Section: Descriptive Data Analysismentioning

confidence: 99%

“…In Vienna, serving as an example of the household structural distribution within urban areas in Austria, it is quite remarkable that the largest shares of single households can be found for the two highest income classes. (Steininger et al, 2007), own calculations.…”

Section: Descriptive Data Analysismentioning

confidence: 99%

“…Thus, nonmotorization is less frequent in Germany than in Austria, which likely explains the relatively low use of public transport observed for Germany. (Steininger et al, 2007), own calculations.…”

Section: Descriptive Data Analysismentioning

confidence: 99%

“…16 (Steininger et al, 2007), own calculations 16 The information on household car travel expenditures was derived from the micro data of the German sample survey of income and expenditure. Due to survey design households with a monthly net income over 18,000 Euro are eliminated from the sample.…”

Section: Descriptive Data Analysismentioning

confidence: 99%

“…7 The ARPM has been developed and implemented at the Economics Department of University of Graz; it is documented in Steininger et al (2007). 8 For information on CGE models, we refer to Shoven and Whalley (1992) or more recently to Ginsburgh and Keyzer (1997).…”

Section: Introductionmentioning

confidence: 99%

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Car Road Charging: Impact Assessment on German and Austrian Households

Kalinowska

Steininger

2009

SSRN Journal

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Abstract: The authors apply a computable general equilibrium (CGE) modeling framework to carry out a two-country comparison for Austria and Germany assessing the impact of road charging (RC). The pricing policy measure is introduced for the private motorized transport mode and applies to the overall road network. To derive and compare distributional effects of passenger car RC, the mode-specific travel demand of private households is integrated into the CGE model. Furthermore, the modeling framework accounts for different household categories with respect to disposable net income and the corresponding travel demand profiles introduced in terms of behavioral mobility parameters as well as household travel expenditures. Comparing the country-specific results, we find country-specific differences in the impact of RC on household categories, as well as similarities. The differences that we find indicate the importance of particular parameters for the evaluation of infrastructure pricing policy reforms. We can relate differences to prevalent country-specific differences in sociodemographic characteristics, land use structure, territorial population distribution, as well as macroeconomic indicators. To add substance to the two-country impact assessment, a sensitivity analysis is carried out, introducing different RC revenue use schemes. We find differences in distributional effects under equity concerns to be closely related to the revenue use pattern as well as to country-and household-specific travel demand profiles. Terms of use: Documents inJEL Classification: D58, H23, R48

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“…Their share is almost twice as high in Germany as in Austria, except for the top income group. (Steininger et al, 2007), own calculations.…”

Section: Descriptive Data Analysismentioning

confidence: 99%

Section: Descriptive Data Analysismentioning

confidence: 99%

Section: Descriptive Data Analysismentioning

confidence: 99%

Section: Descriptive Data Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%