Study on the Income Gap among Various Industries on the Basis of the Improved Grey Forecasting Model

As Chinese economy get fast developed, the residents´ income improved greatly and the industry income gap varied constantly presenting a trend of continuous enlargement in the fluctuation.. This situation hinders the development of economy and the improvement of comprehensive strength. Thus to forecast the trend of continuous enlargement of the industry income gap has been extensively focused. With more complex objects and higher precision, there are some blind spots in the single model and it could not meet people´s requirements. In order to have complementary advantages and get more accuracy in forecast, in this paper, we use the metabolism GM(1,1) Grey Forecasting Model to analyze the development trend and to forecast the income of the staffs among various industries (year 2011-2015) using the income data of the staffs among various industries of Chongqing City in recent years as Modeling Data, offering theoretical basis for making policy of shortening the income gap among various industries.