| The development of the auto industry plays a critical leading role to other related industries (e.g., steel industry, rubber domain, petrochemicals, glass-making manufacturing etc.), and it exercises a pivotal influence to the economic growth of China, and it is regarded as a leading pillar domain in Chinese national economy. With the seriously graveness of energy shortage and the reduction of environment quality, most cities begin to implement restrictions on car ownership, while government guides many policies, such as increasing the license-plate lottery quantities of new energy vehicles, government subsidies etc, to encourage people to purchase new energy vehicles, in addition, government plows forcefully into R&D of energy-saving and new energy vehicles. All indicate that new energy vehicles will be the unique way to sustainable and flourishing development of automobile industry in the future. In order to better understand the market general situation of Chinese auto industry, first of all, we collected a set of100representative vehicle types as analysis sample, which belong to different firms or different brands in the Chinese market for the year2012. On the premise of EMH, two different types of automotive sales functions (linear and exponential) are proposed to judge the functional relationship between sales and the influencing factors such as price, sale service satisfaction index, quality, and after-sale service satisfaction index. We use a max-min DEA model to maximize the efficiency scores of the automobile sales allocation, and determine which function form is suitable to characterize Chinese auto sales. The data analysis helps to get the major influencing factors (auto quality and after-sale service satisfaction index) and to unearth why the efficiency market hypothesis does not stand in Chinese automobile industry. We also analyze the efficiency of Chinese automobile market from the perspective of auto enterprise scale and brand attributes, then we discuss why the varying scale or shareholder structure of automobile manufacturers leads to the sales allocation efficiency to distribute variously. Finally, we discuss the pros and cons of the existing industrial policy on the automobile market in China.Therefore, the thorough study of the market efficiency and its relevance of the whole car industry have very important theoretical value and practical significance. Only by speeding up the transformation and upgrading of the auto industry and vigorously developing new energy automotive industry can government improve the efficiency of Chinese automotive market and alleviate the problems of energy shortage and environment pollution. Improving the innovation and R&D ability of the new energy and energy-saving automotive is the key link to cultivate and develop new energy automotive domain, government promotes the formation of the development system by making special channels, the national science and technology plan etc."The energy-saving and new energy vehicles industrial development planning (2011-2020)"suggests that the government will invest one hundred billion yuan to create a new energy automotive industrial chain in the next decade. Hence, government pays very close attention to how to distribute the R&D funds reasonably to maximize the benefits of it. Based on this background, this paper combines DEA technology with game theory method to study the R&D funds allocation problem by constructing the characteristic function of the coalition from the angle of each enterprise’s input-output results. Two different forms of distribution scheme are proposed in this article, namely shapley value and nucleolus. Finally, we discuss the correlation between these two allocation schemes. |
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