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In recent years, serious environmental pollution has been one of major constraints of China's sustainable economy, for the most part, the rapid growth of energy consumption is attributable. In this paper, we firstly use factor analysis method to do evaluation on environmental pollution degrees of China's 30 provinces, municipalities and autonomous regions (not including Hong Kong, Macao, Taiwan and Tibet) by means of statistics of 2007, and then use regression analysis method to research the relationship between the regional environmental pollution degree and regional energy consumption. The results show that there is a significant positive correlation between them.

As the result of the highly specialized division in the process of industrialization, modern logistics, due to its close relationship with agricultural and industrial production, exerts great influence on the growth of economy. The inland-located Chinapsilas middle region, with a role of connecting its surrounding areas, has geographical edge in developing logistics. In order to gain an insight into the development of the logistics industry in Chinapsilas middle region, we set up a relatively more comprehensive and objective evaluation indicator system on the principles of all-around perspectives, close relationship and data accessibility, and apply factor analysis and statistics of 2006 to conduct an empirical study focusing on the competitiveness of logistics industry in 30 regions of China. On the basis of that, we analyze and appraise the logistics industrypsilas competitiveness of the six provinces in Chinapsilas middle region.

In order to understand the law of China's oil demand growth, we use cointegration method and build up the vector error correction model to do quantitative analysis on the relationship among China's three industries' output values and its oil demand. Our results can be summarized as follows: i) the growth of China's oil demand is relatively inertial; ii) the impacts of three industries' output values on the oil demand are not the same in the short term; iii) China's oil demand has the capacity to adjust its growth reversely in the long term. Knowing these clearly will help us to take more specific measures to balance the oil supply and demand.

Logistics industry has been developing rapidly in China, but it is still a fledgling industry. Some Chinese scholars have made considerable researches on it, but the study in this field has been at the initial stage so far. On the basis of previous studies, we establish a more comprehensive and objective evaluation indicator system on the principles of all-around perspectives, close relationship and data accessibility and then use factor analysis method and statistics of 2006 to do empirical study by SPSS software on the logistics industry's competitiveness in 30 provinces, municipalities and autonomous regions in China. The analysis result suggests that the logistics industries in some regions are effective, as there are heavy demands for logistics services, but unfavourable logistics condition; meanwhile, some regions have much potential in the development of logistics industries, which are weak in competitiveness mainly because of weak demand for logistics services at present.

The DOSPERT, developed by Weber, Blais and Betz, can be used to measure risk behaviors in a variety of domains. We investigated the use of this scale in China. The participants were 1144 undergraduate students. After we removed some items that were not homogeneous, a principal component analysis extracted six components that accounted for 44.48% of the variance, a value similar to that obtained in the analysis conducted by Weber et al. Chinese undergraduates scored higher on the investment subscale compared with the results of Weber's study. The analysis of individual differences indicated that there was a significant gender difference in the ethical, investment and health/safety subscales, where males scored significantly higher than females. The type of home location was also significant on the ethical and health/safety subscales, where undergraduates from the countryside scored lower than undergraduates from cities and towns on the ethical subscale, and undergraduates from towns scored higher than those from other two areas on the health/safety subscale. Male undergraduates from towns scored higher than male undergraduates from other areas on the gambling subscale.