Application of SEDEA to evaluation of degree of harmony between water resources and economic development

This paper introduces the method of data envelopment analysis （DEA） for evaluation of the degree of harmony between water resources and economic development of the water conservancy area of China＇s South-to-North Water Diversion Project （SNWDP）. For this evaluation, a super-efficiency DEA （SEDEA） model was developed based on the super-efficiency method. To verify the applicability of the SEDEA model, both the SEDEA model and a normal-efficiency DEA （NEDEA） model were used to evaluate the degree of harmony between water resources and economic development of typical cities in the SNWDP water conservancy area. The results show that the SEDEA model ranks the degree of harmony of typical cities more efficiently than the NEDEA model, and thus can better evaluate the degree of harmony between water resources and economic development of different cities than the NEDEA model. Furthermore, the SEDEA model can be applied as an operational research tool in regional water resources management.

Performance Evaluation of Listed Companies in New-Energy Automotive Industry

As one of the national strategic emerging industries, new-energy-automobile industry has been caused people’s attention increasingly. Therefore, improving the new energy industry listing corporation performance, not only can alleviate the pressure on energy and the environment, but also can conducive to accelerating the transformation and upgrading of the automotive industry. Moreover, it can foster new economic point of growth and international competitiveness. This essay uses the super efficiency DEA model and Malmquist index method to analyze the performance of new-energy-automotive industry listing corporation. The data is from Year 2011 to 2013. Finally according to the conclusion of the empirical research, this paper made several suggestions to improve the operational efficiency of China’s new energy automobile enterprises and promote new energy-automobile industry.

Measurement and Comparison of Urban Haze Governance Level and Efficiency based on the DPSIR Model:A Case Study of 31 Cities in North China

In the decisive stage of developing of a moderately prosperous society in all aspects,hazy weather has become a major obstacle to the further advancement of China.Therefore,improving the level and efficiency of haze governance has become essential.Based on the DPSIR model,this paper builds a haze governance level and efficiency index system using the entropy method and the super-efficiency data envelope-analysis(DEA)model to analyze the data for 31 cities in North China from 2007 to 2016.From the aspects of spatial differences and influence factors influencing the comparative analysis,the results are as follows.(1)During the investigation period,the level and efficiency of city haze governance in North China showed a trend of fluctuation and decline,with obvious stages in their characteristics.Haze governance efficiency is much higher than its level,and its mean value reaches the DEA level which indicates that it is effective.(2)A significant regional gradient difference occurs between these two aspects.The haze governance level presents a convex distribution pattern of"east low–middle high–west low",while the haze governance efficiency presents a concave distribution pattern of"east high–middle low–west high".(3)The regression results show that economic growth has a negative effect on both haze governance level and efficiency.By contrast,the industrial structure has a positive effect on haze governance level and efficiency,but the significance of its effect on these two is different.On this basis,policy suggestions are proposed for improving the level and efficiency of haze governance in various cities in North China.