Factor Analysis On Effect Of Tertiary Industry On Employment In Regions Based On Panel-data Model

At the present time, the employment problem in China is quite severe. And it does give much pressure to our society, not only the labor resource cannot be used adequately, but also it has been a destabilizing factor to the social stability. The key point of construction of modernizations and state owned enterprise innovation is whether we can solve the problem of employment and re-employment appropriately.Under studying the law of Chinese employment growth among the three industries, the concerned scholars have already put forward various countermeasures against the employment pressure, among which there is a common opinion, namely it is an effective way to develop the tertiary industry on a large scale. So this paper makes a positive study on the effect of the development of tertiary industry on employment growth, in order to offer a powerful proof that the development of the tertiary industry can promote the growth of employment. After that, we also give an empirical analysis on factors of regional tertiary industry employment based on Panel-data Model.Paper gives the connotation and evolution of tertiary industry development theory at first and it also describes the present condition of China's tertiary industry. Then it analyzes the employment problem, and figures out and compares the employment elasticity of each industry. We find out the fact that the development of tertiary industry can accelerate the employment growth effectively.After that, paper sets out the impact factors of tertiary industry employment level of the Chinese districts based on Panel-data Model. From empirical aspect, this paper chooses variables of population, economic development level (personal GDP), urbanization level (the labor number in city/the total labor number×100%), industrialize level (output of industry/GDP×100%), the denationalization level (non-state-owned value of gross output/ all value of gross output×100%) and district factor. In order to get better result, paper chooses 30 districts in China from 1990 to 2003. Paper gets the logarithm of population, personal GDP and...