Diffusion Model And Empirical Analysis Of Chinese Earth Resource Satellite Image

On the background of main Resource Satellite had been successfully commercialized and Industrialized, how to realize and improve the benefit of China Brazil Earth Resource Satellite (CBERS) is a key problem to solve. One of an important means is to promote its Image adopter number and use amount diffusing rapidly, and improve its use fields and scale, so as to make contribution to the national economy and social development. Therefore, the establishment of Image diffusion model suitable for CBERS'character has an important theory, practice and economic significance in mastering its diffusion mechanism, accelerating its diffusion speed and setting reasonable Industrial policy.Traditional research directly takes external and internal information as a main power to drive product diffusion, such as Bass model, but its applicability and the inner mechanism is little discussed. This paper looks them as two factors to influence agent's adoption, and the experimental results confirmed such two research directions is complementary, and establishes a micro theoretical basis for macro diffusion model. Furthermore, This paper find the process and influencing factor of public goods diffusion. Most diffusion studies only focus on common or technology goods, and it leads to neglect the impact of spillover effect and individual values during the diffusion process of public goods which is confirmed by our empirical research.This paper analyses many factors that influences the diffusion of Images. Firstly, Intellectual goods such as movies, songs and Images can be achieved by download in the network environment; the goodness-of-fit of models with network factor is superior to traditional model. Secondly, most research on competition factor's impact on diffusion is based on the hypothesis that the adopter number of competitive goods had been known already, and then put it as a variable into the diffusion model. This method neglects a fact that adopter number is often hidden due to it maybe is a commercial secret. This paper sheds a light on this problem by computing adopter number of competitive goods based on the diffusion data of inspecting goods. Thirdly, this paper establishes a nested diffusion model and a simulation diffusion model for CBERS Image. These models provide a solid foundation for the description of the process, forecasting the diffusion rate, and formulation of industrial policy. It gives an answer to a key problem which hampered the development of China's Resource Satellite Industry.Diffusion of multi-unit adoption only focused on re-purchasing based on a unit adoption, but multi-unit adoption in one time is little considered. This paper divides total adopter into two types, one is a unit buyer, the other is a multi-unit buyer, and consider sales volume of the latter is influenced by price. Empirical analysis shows the VPM's forecast accuracy is superior to other models. Furthermore, this paper discusses the relationship between product diffusion and sales volume. Intuitively, the degree of diffusion maybe has an impact on sales volume. But it lacks of quantitative analysis. Empirical results based on survival analysis confirm that the faster product diffusion, the shorter sales volume achieves the critical mass increasing point. This leaves the implication for management that we can early arrive the take-off point of sales volumes through promoting product diffusion, and industrialization is also achieved.