Car ownership and urban development in Chinese cities: A panel data analysis

被引:78
|
作者
Yang, Zhenshan [1 ,2 ,3 ]
Jia, Peng [4 ]
Liu, Weidong [1 ,2 ]
Yin, Hongchun [5 ]
机构
[1] Chinese Acad Sci, Key Lab Reg Sustainable Dev & Modelling, Beijing 100101, Peoples R China
[2] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
[3] Univ Cambridge, Land Econ, Silver St 19, Cambridge CB4 9EP, England
[4] Univ Twente, Fac Geoinformat Sci & Earth Observat ITC, NL-7500 Enschede, Netherlands
[5] Tianjin Univ, Sch Management & Econ, Tianjin 300072, Peoples R China
关键词
Car ownership; Urban environment; Panel data; Fixed effects model; China; UNIT-ROOT TESTS; BUILT ENVIRONMENT; VEHICLE OWNERSHIP; PUBLIC TRANSPORT; CITY; POLICY; TRAVEL; FORM; DIFFERENCE; IMPACTS;
D O I
10.1016/j.jtrangeo.2016.11.015
中图分类号
F [经济];
学科分类号
02 ;
摘要
Growth in car ownership has significant impacts on the use of urban space and management of urban environments, which makes it a topic of increasing interest especially for developing countries such as China. The dynamics of and factors influencing ownership in Chinese cities need careful investigation. Using fixed effects models applied to annual panel data (1994-2012; 293 cities) this study aimed to achieve the following: 1) assess the relationships between car ownership and average Annual income per capita, population, built-up area, road area per capita, urban population density, number of taxis and bus passenger volume; 2) examine the variation of these relationships across geographical regions (East, middle, and West China) and city sizes (cities with small, medium, large, and super-large populations). The results showed that car ownership was positively associated with average annual income per capita, built-up area, road area per capita, urban population density, and number of taxis at the national level. All associations, except with the number of taxis, varied significantly across geographical regions. Built-up area, road area per capita, and number of taxis had different associations with car ownership depending on city sizes. The findings improve the understanding of relationships between car ownership and urban environments vis-a-vis variations in income and infrastructure per capita, population density, and transportation alternatives. These results have important policy implications for managing cars and health problems related to cars in China. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:127 / 134
页数:8
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