Evaluation on regional science and technology resources allocation in China based on the zero sum gains data envelopment analysis

2020 ◽  
Author(s):  
Tingting Liu ◽  
Zichen Zheng ◽  
Yuneng Du
Keyword(s):  
Data Envelopment Analysis ◽  
Science And Technology ◽  
Regional Science ◽  
Resources Allocation ◽  
Data Envelopment ◽  
Zero Sum ◽  
Technology Resources

scholarly journals Uniformization of frontiers in non-radial ZSG-DEA models: an application to airport revenues

2010 ◽  
Vol 30 (1) ◽  
pp. 175-193 ◽  
Author(s):  
Aline Bandeira de Mello Fonseca ◽  
João Carlos Correia Baptista Soares de Mello ◽  
Eliane Gonçalves Gomes ◽  
Lidia Angulo Meza
Keyword(s):  
Data Envelopment Analysis ◽  
Theoretical Approach ◽  
Approximate Algorithm ◽  
Data Envelopment Analysis Model ◽  
Data Envelopment ◽  
Analysis Model ◽  
Dea Models ◽  
Weights Restrictions ◽  
Zero Sum

We propose in this paper an extension to the Zero Sum Gains Data Envelopment Analysis model (ZSG-DEA). The proposed approach takes into account, simultaneously, non-radial projections and cone-ratio weights restrictions. We developed an iterative approximate algorithm to solve this model, as in the case study it is oriented only to the constant sum output. The theoretical approach is applied to the concession of discounts and surcharges problem, in terms of airport fees.

scholarly journals New Method of Determining Decision Making Unit Congestion under Inter-Temporal Dependence

2021 ◽  
Author(s):  
Tahereh Shahsavan ◽  
masoud Sanei ◽  
Ghasem Tohidi ◽  
Farhad Hosseinzadeh Lotfi ◽  
Saeid Ghobadi
Keyword(s):  
Decision Making ◽  
Data Envelopment Analysis ◽  
Production Systems ◽  
New Method ◽  
Resources Allocation ◽  
Data Envelopment ◽  
Temporal Dependence ◽  
Important Concept ◽  
Decision Making Unit

Abstract Congestion is an important concept in data envelopment analysis (DEA). It occurs when the decrease of at least one decision making unit (DMU) input results in the increase of at least one output ineffective on other inputs or outputs. Until present, various methods have been discussed in terms of congestion determination in static DEA although no study has still been performed on congestion calculation in dynamic DEA under inter-temporal dependence. In this paper, congested input levels in multi-period production systems under inter-temporal dependence and further, the inter-temporal dependence of production periods due to the stock capital are studied. The advantage of dynamic DEA congestion method specification lies in the prevention of inappropriate resources allocation during evaluation periods. The validity of the proposed method has further been demonstrated via empirical example for better observation.

The Differences Analysis of Input-Output Efficiency of Regional R&D Activities Based on DEA

2014 ◽  
Vol 599-601 ◽  
pp. 1764-1767
Author(s):  
Yu Han Liu ◽  
Yong Bo Lv ◽  
Yuan Ren
Keyword(s):  
Data Envelopment Analysis ◽  
Technological Innovation ◽  
Technology Development ◽  
Science And Technology ◽  
Data Envelopment ◽  
Input Output ◽  
Regional Investment ◽  
Output Efficiency ◽  
Dea Method ◽  
Using Data

Research and development activities plays an important role in regional science and technology development and technological innovation. Regional R&D input-output efficiency is a measure of the effectiveness of regional investment in science and technology activities. This paper selects four indicators to make evaluation of the input-output efficiency of R&D activities and analysis of differences between regions by using data envelopment analysis (DEA method).

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