China's Automobile Industry Correlation Effect Of Input-output Analysis

The automobile industry of China started later than other developed countries on the world, however, with the development of domestic market growth and the adjustment of industry strategy of the developed countries, the automobile industry of China grows rapidly in the recent years, and become one of the mainstay industries in China. The main purpose of this article is that researching in the industrial correlation effect of Chinese automobile industry serves for the proper political suggestion making to enhance the capacity of manufacturing, employment promotion, improve the level of technique and develop some new industries.The automobile industry is important to every country, not only the level of living and working would it improve but also enhance the social economic development. Many developed countries have such a fast growth of social economic with the leading of automobile industrial development. There is correlation effect of Chinese automobile industry obviously. Since China is now under a period of fast development, it is of great significance of researching and tapping the correlation effect of automobile industry. The automobile industry of China has a very long industrial chain, relates a lot of industrial sectors and shows economy propping. Like all mainstay industries, automobile industry is the growth engine of the national economy, and it helps a lot in enhancing the development and updating of new technology and service. The key to tapping the correlation effect of automobile industry is to understand how to measure the degree of relevance between the automobile industry and the others especially the highly relevant ones, and how to conclude the influence factors. Then proper political suggestion might be made to improve the development of Chinese automobile industry and its correlation effect.There are many work in automobile industry research from all aspects all over the world. Among them, some focus on the industrial chain and others analyze the correlation effects in products, technology or employment ways. Some methods are used in researching the correlation effects of Chinese automobile industry, such as grey scale correlation model and input-output analysis on intermediate needs. This thesis uses input-output analysis not only on intermediate needs but also labor demand and ultimate demand. Input-output analysis approach is one of the effective methods in researching correlation effects with operability and reliability. Before the official data have been available, RAS technique can be used to explore the historical data to the recent ones with the help of the rational assumptions. It may increase the rationality of research and provide a new approach in researching some similar issues.Chapters3to5are the body of the discussion. Analyzing the correlation effects of Chinese automobile industry in the aspect of intermediate needs, ultimate demand and labor demand match the data of sector â… , â…¡ and â…¢ from the input-output table, which make a comprehensive discussing of correlation effects. Chapter3make a discussion on inter industrial relevance from the intermediate and labor demand needed by automobile industry and the others to make sure the relationship of forward and afterward conjunctions. With the interior logical relationship of the amount of automobile industrial ultimate demand and its output, chapter4discuss the influencing factors of Chinese automobile industrial correlation effects by analyzing the ultimate demands. In using the RAS technique, chapter5discuss the correlation effects on a new data base, which offers a chance to know the result of continuous correlation effects during recent years.There are6chapters in all. Chapter1is forward, which states the purpose and meaning of researching. Chapter2is basic economic theories compendium, which introduces the theories and concepts used in this thesis. Chapter3is the inter-industrial correlation effects discussion of Chinese automobile industry. Chapter4is the ultimate demanding correlation effects discussion of Chinese automobile industry. Chapter5is the discussion of continuous correlation effects of Chinese automobile industry. Chapter6is conclusion and suggestion, which summarizes6factors of conclusions and5factors of suggestions.By using the input-output analysis, this dissertation provides a brief theoretical framework of analyze the correlation effects of automobile industry by using industrial relevance and degree of ultimate demand. And makes conclusion and proposes policy suggestions by demonstrating and estimating how wide and what type of factor the correlation effects are acting and influenced of the automobile industry. Using the whole sectors of input-output table data is a new idea on researching the correlation effects of Chinese automobile effects. Other creative practice is including the RAS technique to help make use the input-output table more reasonable and make the Chinese automobile industrial correlation effects research more timely. Owing to the unofficial data been used, the numbers which made by such data may have some error existence.