Determinants of car ownership in rural and urban areas: a pseudo-panel analysis
By J. Dargay. 2002
206 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Gender Studies, Renewable Energy, Sustainability and the Environment
View Paper: https://www.semanticscholar.org/paper/6ef28b5006945c211d7f351d29449a0c3f8e6728
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
In Gender Studies
In Renewable Energy, Sustainability and the Environment
Citations in the corpus
- The effect of prices and income on cartravel in the UK (2007, background): “Using the same data, the effects of income and transport costs on car ownership in rural and urban areas is investigated in Dargay (2002) and the question of asymmetry in the relationship between car ownership and income is addressed in Dargay (2001).”
- Are multi-car households better suited for battery electric vehicles? Driving patterns and economics in Sweden and Germany (2016, background): “Furthermore, multi-car households have higher income (Dargay, 2002; Jong et al., 2004) and are thus more likely to afford the higher purchase price of BEVs.”
- Impact of Life-Course Events on Car Ownership (2006, background): “This finding supports Dargay’s findings for the United Kingdom (30) that the maximum level of car ownership can be detected for households with an age of the household head around 50 years.”
- Alternative Modeling Approaches Used for Examining Automobile Ownership: A Comprehensive Review (2014, methodology): “It is very likely that the previous choice or experience of owning a car may lead to a decision to acquire or dispose of a car, thereby influencing current or later levels and types of car ownership (Hanly & Dargay, 2000; de Jong & Kitamura, 2009). To test this hypothesis, Kitamura (2009) developed ”
- Determinants of car ownership among young households in the Netherlands: the role of urbanisation and demographic and economic characteristics (2016, unknown): “ Although studies on car ownership use different ways of measuring household income (Dargay, 2002; Nolan, 2010; Oakil et al., 2014; Potoglou and Kanaroglou, 2008), we preferred to use household disposable income instead of standardising household income by household type.”
- Assessing the socio-demographic, technical, economic and behavioral factors of Nordic electric vehicle adoption and the influence of vehicle-to-grid preferences (2020, background): “For example, multi-car households tend to have higher income [33], [34], and are thus more likely to afford the higher price of BEVs.”