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Aiming at the deficiency of traditional data envelopment analysis (DEA) model, combined with the characteristics of high-tech industry R&D innovation process, the R&D innovation process is decomposed into technological development and economic transformation sub stage, considering "relationship of the sub stage" and "distribution structure of the initial input in the sub stage", this paper constructs two-stage network DEA model with constrained resources, so it realizes the improvement of high-tech industry R&D innovation efficiency measurement method, and this model is applied to empirically evaluate the efficiency of R&D innovation and sub stage for 17 Chinese high-tech industries, and get initial input configuration information. Compared with the existing researches, this model breaks through constraints which traditional DEA models ignore the high-tech industry R&D innovation system internal structure. The empirical results show that: From both the whole and two sub stage, the efficiency of 17 Chinese high-tech industries are low, which have considerable improvement room; according to efficiency matrix diagram, only ECPEM 3 subdivision industries belong to efficient intensive innovation, the most industries are characterized by double weak or a strong and a weak; according to the 5 kinds which 17 industries belong to, the overall R&D innovation efficiency of ECOEI is the highest, AAMI is the lowest. [ABSTRACT FROM AUTHOR]

The traditional model of airports productivity evaluation ignored the impact of undesirable outputs such as delayed flights, noise, harmful emissions and so on. A non-parametric directional output distance function, rather than the traditional data envelopment analysis, was applied to construct an airport productivity evaluation model based undesirable outputs. The empirical research regarding 10 airports in Yangtze River Delta multi-airport region was performed to verify the model. The results show that undesirable output is one of the indispensable factors on airport productivity. Secondly, undesirable outputs affect the airport productivity significantly. There is non-positive correlation between airport productivity and airport size after considering the undesirable output. Finally, some suggestions of a balance between quantity and quality of outputs in the achievement of efficient outcomes for authorities are provided. [ABSTRACT FROM AUTHOR]

Based on DEA-Malmquist index, considered the element of energy, the paper decomposed the output growth of the three leading industries in Fujian province into two part: the growth of total factor productivity and the growth effects of input factors. The study found, after having considered the element of energy, during the years 2002-2009: 1) The average growth rate of the output of the three leading industries was 21.48%, mainly depended on the growth of input factors; 2) The growth of total factor productivity led outputs growth 7.48 percentage points every year, with the contribution of 2.98 percentage points of technological progress, and technical efficiency improvement contributed 4.5 percentage points. The growth of input factors contribution to outputs growth was 14 percentage points; 3) The growth of input factors was dominant in the economic growth, under that condition, the development of the three leading industries in Fujian province showed a declining trend. Therefore, the paper argues that in order to maintain the rapid development of the three leading industries, we should make further improvement of the total factor productivity, including technological progress and technical efficiency improvement. [ABSTRACT FROM AUTHOR]