Multi-attribute procurement auction is gaining significant importance in industrial procurement. In a traditional model, a great deal of efforts is addressed issues relating to auction mechanism design and winner determination problem under the known utility function of auctioneer. There is little research on the bidding strategies model of supplier. Based on the DEA theory, the prior winners' information was used and the bidding strategies model of supplier was proposed with the unknown utility function of procurer. The numerical example expounded application of the model. The results both help suppliers correctly infer the seller's attribute weights and determined bidding strategy. It also can help procurer increase competition between suppliers and improve buyer's utility.

With the rapid development of the economic, the income of Chinese residents is increased significantly, however the level of urban-rural income gap has also been increasing. Income inequality is growing and it has already aroused extensive attention of the whole society. Based on the data of income gap per capita between rural and urban areas from 1978-2008 in China, it fits the regressive curve by trend graph and establishes an time series model of ARMA by the residual sequence, furthermore analysis, identification, estimation and test of the model parameters were conducted to establish a suitable forecast model of China's urban-rural income gap. The outcome proves that the model takes on the traits of simple shortcut, high forecasting precision and adaptation to actual needs. The prediction indicates that China's urban-rural income gap is widening, the state should take positive measures to control the situation. State should increase investment in agriculture, protect the interests of farmers and raise the income of peasants to maintain social stability.

Taking 62 Chinese ST industrial enterprises of listed companies as the research samples, and taking 62 Non-ST industrial enterprises of the same caliber as the paired samples, Influences of non-financial indicators on financial early-warning for Chinas listed companies were studied by using mean significance analysis, multi-collinearity analysis, and regression analysis. The results show that financial indicators and non-financial indicators should be comprehensive considered on the study of ST listed companies, and that establishing an early warning model using non-financial information and financial information will better warn the financial dilemma of listed companies.