Research On Relation Of Ownership Structure And Corporate Performance

Listed companies are the foundation of the capital markets. Corporate governance is the core of modern enterprise system and it is the key factors for enterprise to improve the business performance. Ownership structure is the basis of the corporate governance. It means the proportion and the relationship of different shares in the listed companies. Different ownership structure shows different distribution of benefits, which determines the different corporate organizational structure and the structure of corporate governance. It generates different governance efficiency, which affects the behavior and performance of the enterprise.China’s capital market has been development lately. The majority of listed companies are reformed from the restructuring of state-owned enterprises, so they have many problems such as a high degree of ownership concentration, the coexistence of tradable shares and non-tradable shares, and lower management shares. Therefore, this article will explore the relationship between ownership structure and corporate performance from the nature and the concentration of equity and management stake which focus on the structural characteristics of China’s ownership. Then I will put forward reasonable suggestions to improve the current ownership structure. The reasonable improvement on the current ownership structure is of great significance for improving the company’s operating results and to ensure the healthy development of the capital market.The real estate industry is the backbone of our national economy, which is referred to as a barometer of China’s national economy and weathervane. Therefore, it is important to improve ownership structure and the efficiency of corporate governance to safeguard the healthy development of the real estate industry.This article mainly select the2011annual data of the listed companies in China’s real estate industry to study the relationship between the ownership structure and corporate performance with a canonical correlation analysis and multiple regression analysis.