A Disaggregate Analysis For Determinants Of Household Vehicle Ownership Level In China

Considering the rapid growth in economics and private vehicle ownership,a comprehensive and precise understanding of household vehicle ownership is of vital importance in China.In this study,we use the multinomial logit(MNL)model and ordered logit(ORL)model to investigate determinants of household vehicle ownership at disaggregate level based on the China Family Panel Studies dataset.By decomposing household financial attribute,we introduce the categorical household income variable and categorical household net asset variable in model specification accompanied with categorical household structure variable and other influential factors.The results show that by incorporating household net asset,we can get a more precise estimation.After adding household net asset,the effects of household income on vehicle ownership are smaller than those indicated by models without household net asset.Meanwhile,caused by relationship between household net asset and other attributes,other variables show different effects on household vehicle ownership,too.Based on results with household net asset,the household financial attribute and household structure characteristic are the two primary affordability and demand determinants.Entering marriage stage and mobility of kids impose positive effects on 1 household vehicle ownership.The administrative urban-rural division system is ineffective in 1 household vehicle ownership within this sample.The MNL model performs better within the estimated sample.Furthermore,by constructing the choice specific transportation expenditure variable,we apply the hybrid model of MNL and conditional logit(CL)model to understand the household vehicle ownership process better.In application,the results can be used to assist policy makers and vehicle manufacturers to make policies and production plans more precisely and rationally.