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A study on the determinants of private car ownership in China: Findings from the panel data
Affiliation:1. School of Architecture, Tsinghua University, Beijing 100084, China;2. China Sustainable Transportation Center, Room 1903, CITIC Building, Jianguomenwai Avenue, Beijing 100004, China;3. The Energy Foundation Beijing Office, Room 2403, CITIC Building, Jianguomenwai Avenue, Beijing 100004, China;1. Graduate School of Architecture, Planning and Preservation, Avery Hall, Columbia University, New York, NY 10027, USA;2. Edward J. Bloustein School of Planning and Public Policy, Rutgers, the State University of New Jersey, Room 535, Civic Square Building, 33 Livingston Ave., New Brunswick, NJ 08901, USA
Abstract:This study examines the determinants of private car ownership in China. The target cities are 32 provincial capital cities and the target period is from 2001 to 2011. In order to capture the individual effects (heterogeneity), the fixed and random effect models are adopted and compared, in which 8 explanatory variables are selected to include economic characteristics, urban characteristics, and transportation characteristics. Moreover, double natural logarithm model is employed to measure the elastic relationship between the private car ownership and regressors. The estimated results show that the fixed effect model performs better than pooled regression model and the random effect model. In addition, there are variations of private car ownership among cities and regions. Finally, the influence of factors responsible for these variations is also presented and discussed in this paper.
Keywords:Private car ownership  Panel data  The fixed effect model  The random effect model  Double logarithm model
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