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Factors Influencing Automobile Financial Leasing and Risk Control – An Empirical Study on China Automobile Leasing Market

abstract: Financing lease has bloomed as a new financing tool in China for the last several years. In this thesis I investigate the factors that influence China’s automobile financial leasing decisions by both lessors and lessees through market surveys. Based on Probit regression analysis of the data collected from 250 companies and 300 individuals, I find that a firm is more likely to use automobile financial leasing when its corporate tax rate is lower, growth potential is more stabilized, and profit is higher. It is also more likely to happen when a firm's long-term debt ratio and its degree of internationalization are higher. At the individual level, I find that the likelihood of individuals’ leasing decision is influenced by their risk preference, income level, and car price. Individuals’ gender, age and education level show no effect.

Using the analytic hierarchy process (AHP) analysis, I further find that financing costs, service value-added, and products diversity are the three most important competitive factors for the auto financial leasing service providers. This is the case for both the corporate and individual customers in the sample. By contrast, the factors of sales channel and government relationship are found to be much less important. Finally, through an in-depth case study of the leasing company Shanghai Auto Financial Leasing, I find that the key factors determining the customers’ credit default risk are interest rate and automobile type. I also investigate factors that influence business risk during the automobile procurement stage, at the selling stage, and toward the disposition stage. The managerial implications of the above results are discussed throughout the thesis. / Dissertation/Thesis / Doctoral Dissertation Business Administration 2015

Identiferoai:union.ndltd.org:asu.edu/item:29802
Date January 2015
ContributorsLin, Zhen (Author), Zhang, Anming (Advisor), Pei, Ker-Wei (Advisor), Chen, Hong (Committee member), Arizona State University (Publisher)
Source SetsArizona State University
LanguageChinese
Detected LanguageEnglish
TypeDoctoral Dissertation
Format130 pages
Rightshttp://rightsstatements.org/vocab/InC/1.0/, All Rights Reserved

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