Spatial Patterns of Car Sales and Their Socio-economic Attributes in China

LIU Daqian; LO Kevin; SONG Wei; XIE Chunyan

doi:10.1007/s11769-017-0902-x

Spatial Patterns of Car Sales and Their Socio-economic Attributes in China

doi: 10.1007/s11769-017-0902-x

1.
Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China;
2.
Department of Geography, Hong Kong Baptist University, Hong Kong 999077, China;
3.
Department of Geography and Geosciences, University of Louisville, Louisville KY 40292, USA;
4.
FAW-Volkswagen Automotive Company Ltd., Changchun 130061, China

基金项目: Under the auspices of National Natural Science Foundation of China (No.41301143)

详细信息

通讯作者:
SONG Wei,E-mail:wei.song@louisville.edu

Spatial Patterns of Car Sales and Their Socio-economic Attributes in China

1.
Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China;
2.
Department of Geography, Hong Kong Baptist University, Hong Kong 999077, China;
3.
Department of Geography and Geosciences, University of Louisville, Louisville KY 40292, USA;
4.
FAW-Volkswagen Automotive Company Ltd., Changchun 130061, China

Funds: Under the auspices of National Natural Science Foundation of China (No.41301143)

More Information

Corresponding author: SONG Wei,E-mail:wei.song@louisville.edu

摘要: Using data from the Economic Advisory Center of the State Information Center (SIC), we examined the spatial patterns of car sales in China at the prefectural level in 2012. We first analyzed the spatial distributions of car sales of different kinds of automakers (foreign automakers, Sino-foreign joint automakers, and Chinese automakers), and then identified spatial clusters using the local Moran's indexes. Location quotient analysis was applied to examine the relative advantage of each type of automaker in the local markets. To explain the variations of car sales across cities, we collected several socioeconomic variables and conducted regression analyses. Further, factor analysis was used to extract independent variables to avoid the problem of multicollinearity. By incorporating a spatial lag or spatial error in the models, we calibrated our spatial regression models to address the spatial dependence problem. The analytical results show that car sales varied significantly across cities in China, and most of the cities with higher car sales were the developed cities. Different automakers exhibit diverse spatial patterns in terms of car sales volume, spatial clusters, and location quotients. The scale and incomes factor were extracted and verified as the two most significant and positive factors that shape the spatial distributions of car sales, and together with the spatial effect, explained most of the variations of car sales across cities.
- car sales /
- spatial clusters /
- Location Quotient /
- socio-economic attributes /
- China
Abstract: Using data from the Economic Advisory Center of the State Information Center (SIC), we examined the spatial patterns of car sales in China at the prefectural level in 2012. We first analyzed the spatial distributions of car sales of different kinds of automakers (foreign automakers, Sino-foreign joint automakers, and Chinese automakers), and then identified spatial clusters using the local Moran's indexes. Location quotient analysis was applied to examine the relative advantage of each type of automaker in the local markets. To explain the variations of car sales across cities, we collected several socioeconomic variables and conducted regression analyses. Further, factor analysis was used to extract independent variables to avoid the problem of multicollinearity. By incorporating a spatial lag or spatial error in the models, we calibrated our spatial regression models to address the spatial dependence problem. The analytical results show that car sales varied significantly across cities in China, and most of the cities with higher car sales were the developed cities. Different automakers exhibit diverse spatial patterns in terms of car sales volume, spatial clusters, and location quotients. The scale and incomes factor were extracted and verified as the two most significant and positive factors that shape the spatial distributions of car sales, and together with the spatial effect, explained most of the variations of car sales across cities.
- car sales /
- spatial clusters /
- Location Quotient /
- socio-economic attributes /
- China

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Spatial Patterns of Car Sales and Their Socio-economic Attributes in China

doi: 10.1007/s11769-017-0902-x

通讯作者:
SONG Wei,E-mail:wei.song@louisville.edu

Spatial Patterns of Car Sales and Their Socio-economic Attributes in China

Corresponding author: SONG Wei,E-mail:wei.song@louisville.edu

计量

Spatial Patterns of Car Sales and Their Socio-economic Attributes in China

doi: 10.1007/s11769-017-0902-x

通讯作者: SONG Wei,E-mail:wei.song@louisville.edu

English Abstract

Spatial Patterns of Car Sales and Their Socio-economic Attributes in China

Corresponding author: SONG Wei,E-mail:wei.song@louisville.edu

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留言板

Spatial Patterns of Car Sales and Their Socio-economic Attributes in China

doi: 10.1007/s11769-017-0902-x

通讯作者: SONG Wei,E-mail:wei.song@louisville.edu

Spatial Patterns of Car Sales and Their Socio-economic Attributes in China

Corresponding author: SONG Wei,E-mail:wei.song@louisville.edu

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出版历程

Spatial Patterns of Car Sales and Their Socio-economic Attributes in China

doi: 10.1007/s11769-017-0902-x

通讯作者: SONG Wei,E-mail:wei.song@louisville.edu

English Abstract

Spatial Patterns of Car Sales and Their Socio-economic Attributes in China

Corresponding author: SONG Wei,E-mail:wei.song@louisville.edu

全文HTML

目录

通讯作者:
SONG Wei,E-mail:wei.song@louisville.edu