Comparative Study Of Service Industry Listed Companies In Central Six Provinces

As a part of national economy, the degree of service industry has become the measurement of economy and social development. Since1960s, the global industrial structure has shown the trend from industrial to service economy. Meanwhile, service industry boosted in China as well. With the increasing scale of service industry, the overall contribution of the service industry to GDP has reached43.8%, and its employment covered35.7%of the total in2011. However, compared to developed countries, we still have a long way to go. As a hub, the central part of China plays an extremely important role in bonding different areas. Therefore, central six provinces-Hubei, Hunan, Anhui, Jiangxi, Henan, and Shanxi have formed a significant regional economic system. In addition, as a high-level configuration of organizations, listed companies not only are economic organizations but also become the representatives of regional economy and competence. Therefore, it isnot only important but also necessary to do contrastive analysis of development status of the service industry and its listed companies in central China, to reveal its trend and to pitch proposals to enhance the competitiveness of those companies.This paper can be divided into six parts. Firstly, the introduction discussed the background, purpose and significance of this research, and studied the related theory of service industry and competitiveness of listed companies both at home and abroad. Secondly, it described the current situation and the trend of service industry in central China, in which it analyzed the data from2002to2011from the aspects of the added value, employment, and industry structure of service industry. In the third chapter, it stated the overall information of listed companies in central six provinces. At first, it defined the research sample of this paper, and then analyzed the scale and structure of those companies. The forth part was the fiancial competitiveness evaluation of the above companies by using fuzzy synthetic evaluation model of the financial data of2012. And then, proposals and suggestions were put forward to improve those listed companies from the perspective of both government level and the companies themselves. The last part was the summary and the outlook for future research.