The Impact of Industry Clusters on the Performance of China''s Automobile Manufacturing Industry

碩士 === 國立臺灣大學 === 國家發展研究所 === 100 === In this paper, the spatial analysis method was used to explore the impact of industry cluster on operating performance of China''s automobile manufacturing industry.The subjects were 8,356 companies in China’s automobile-related industries in 2...

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Bibliographic Details
Main Authors: Yu-Chen Tsai, 蔡侑呈
Other Authors: 唐代彪
Format: Others
Language:zh-TW
Published: 2012
Online Access:http://ndltd.ncl.edu.tw/handle/28253442385856089934
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Summary:碩士 === 國立臺灣大學 === 國家發展研究所 === 100 === In this paper, the spatial analysis method was used to explore the impact of industry cluster on operating performance of China''s automobile manufacturing industry.The subjects were 8,356 companies in China’s automobile-related industries in 2007.After the related variables were calculated by a spatial analysis software, space factors were added and companies’ internal and external factors were controlled, the real impact of the cluster effect on business performance can be realized. Empirical results show that for China''s automobile industry, the most appropriate distance of forming cluster is 250KM so that the circle, degree and scale of the 250KM gathering respectively have a positive impact on business performance, representing that China''s automobile manufacturing industry can play an effective critical mass on cluster.However, meanwhile, under controlling the three explanatory variables, the 250KM gathering circle is still the positive effect whereas the gathering degree and scale is the negative effect on business performance.It is not necessary for the gathering circle which is more intensive or larger to have particular advantages. In addition, the paper also found that in companies’ internal factors, the whole-vehicle manufacturing, Sino-foreign joint ventures and the capital-labor ratio can effectively improve operational performance whereas total assets are incapable of that.Also, in companies’ external factors, per capita GDP and the distance of major universities and railway would affect business performance.