scholarly journals The Quantitative Evaluation Index System of College Student Party Members based on AHP

2020 ◽  
Vol 1648 ◽  
pp. 022001
Author(s):  
Shuisheng Lu ◽  
Xiaoying Sun
2017 ◽  
Vol 6 (1) ◽  
pp. 19
Author(s):  
Feng Feng ◽  
Qing Li

Policy transfer is a process in which different organizations learn from each other to achieve policy innovation. It is also considered as an important channel of policy issuance. In China, national independent innovation demonstration zones serve as carriers of not only technological development, but also technological policies issued by China. Along with development of these national independent innovation demonstration zones, policy exchange and cooperation has become increasingly frequent among them. This paper attempts to find out different paths for policy transfer through a textual analysis of policies among China’s national independent innovation demonstration zones. First, quantitative connotation and characteristics of policy transfer are analyzed. Then, a policy transfer quantitative evaluation index system is built based on three dimensions of policy transfer, namely intensity, breadth and speed. Following that, the quantitative evaluation index system is used to analyze policy transfer among national independent innovation demonstration zones. The paper tries to explore favorable policy categories for transfer, and learn the policy development status in these national independent innovation demonstration zones as well as the policy transfer trend from different perspectives. To sum up, this research can provide not only data support for policy innovation of China’s independent innovational demonstration zones and accelerate their in-depth cooperation in terms of policy transfer, but also a new methodological research paradigm for quantitative analysis of policy transfer among parallel organizations.


2020 ◽  
Vol 2020 ◽  
pp. 1-16
Author(s):  
Hongliang Wu ◽  
Daoxin Peng ◽  
Ling Wang

Effectiveness evaluations are one of the important ways to guide grid investment and to improve investment efficiency. Improving the effectiveness of grid investment evaluations is studied based on the optimization of the investment evaluation index system and the utility evaluation model. The index system is optimized by establishing an evaluation index system of grid investment effectiveness, considering the redundancy between the indices, and constructing an ISM-DEA model. The utility function model was introduced to fully consider the different risk appetites of decision-makers, and a utility evaluation model that takes risk appetite into account was established. An improved weight integration model based on multiobjective optimization was established by considering the minimum deviation and the trend-optimal objective function when setting the index weights. The calculation results show that the feasibility of the index system optimization model and utility evaluation model constructed in this study is verified under the premise of satisfying the assumptions. By adjusting the risk preference coefficient of decision-makers, the dynamic optimization of the grid investment utility evaluation results can be realized.


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