scholarly journals Evaluation of Input-Output Efficiency of Sports Industry Based on SWOT-PEST Model

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Huan Dong ◽  
Zhiguo Liu ◽  
Kai Kong ◽  
Tong Li ◽  
Qianli Ma
Keyword(s):  
Data Envelopment Analysis ◽  
Index System ◽  
Indicator System ◽  
High Tech ◽  
Data Envelopment ◽  
Analysis Method ◽  
Input Output ◽  
Sports Industry ◽  
Industry Environment ◽  
Output Efficiency

This article takes the macro-environmental sports industry as the research object. Firstly, based on the development and characteristics of the sports industry, the article uses the principle of data envelopment analysis to analyze its input and output efficiency and finds out its current problems. In addition, the SWOT analysis method is used to conduct a comprehensive analysis of the external and internal environment influencing the efficiency of the sports industry and propose corresponding development countermeasures. Through the comparison of efficiency evaluation methods, the data envelopment analysis method is proposed to evaluate SWOT efficiency. Secondly, on the basis of pointing out the guiding ideology and basic principles of the evaluation system, four input indicators and four output indicators are specifically selected to form the SWOT input-output indicator system. Thirdly, we introduce the PEST model, focusing on its extended BCC model and use it to make empirical analysis of the SWOT efficiency of regions and provinces. The analysis results show that the efficiency of regional SWOT is not optimal and that there are problems such as input redundancy and insufficient output. Through further analysis, it is concluded that the main reason for the inefficiency of regional SWOT is the unreasonable SWOT input structure and insufficient output value of high-tech industries. We use the analytical framework of this method to clarify the current macro-competitive environment of the sports industry, and use the constructed index system to determine whether the sports industry environment in a region is good or bad. In the selection of indicators, we must carefully analyze their connotations, so that the evaluation index system can accurately evaluate the region’s sports industry environment.

scholarly journals Efficiency of Two-Stage Technological Innovation in High Patent-Intensive Industries That Considers Time Lag: Research Based on the SBM-NDEA Model

2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Junzhong Zou ◽  
Wei Chen ◽  
Nan Peng ◽  
Xuan Wei
Keyword(s):  
Data Envelopment Analysis ◽  
Panel Data ◽  
Technological Innovation ◽  
Time Lag ◽  
Innovation Process ◽  
Indicator System ◽  
Data Envelopment ◽  
Input Output ◽  
Two Stages ◽  
Output Indicator

Considering time lag and accumulation of inputs and outputs, this paper adopts the superefficiency data envelopment analysis (DEA) model to study the technological innovation efficiency of high patent-intensive industries using panel data from 2007 to 2017. Given the characteristics and the actual circumstances of the industries, the innovation process is divided into two stages, and an input-output indicator system is established. The results show that the overall innovation efficiency level of high patent-intensive industries in China is increasing. However, the R&D achievements in technology are not quickly applied or sufficiently transformed.

The Comprehensive Efficiency Evaluation of Electrical Power System of China Based on Data Envelopment Analysis

2013 ◽  
Vol 860-863 ◽  
pp. 1881-1885 ◽  
Author(s):  
Wang Cheng Long ◽  
Xiao Wang ◽  
Dong Peng ◽  
Qiao Wang
Keyword(s):  
Data Envelopment Analysis ◽  
Power System ◽  
Electrical Power ◽  
Scientific Development ◽  
Data Envelopment Analysis Model ◽  
Data Envelopment ◽  
Input Output ◽  
Analysis Model ◽  
Electrical Power System ◽  
Output Efficiency

With the power system of China continuous expanding recently, the electric power generation, transmission and supply capacity increased dramatically. In order to improve economic operational efficiency and realize scientific development, the Input-Output efficiency between the input of the power system facilities and the output of the power supply becomes a critical issue that government, business and academia have to face up to. In this paper, we used the DEA (Data Envelopment Analysis) model and tested the Input-Output efficiency of power system development and study the trend of important development segment. The relative efficiency of power system is closely related to the electricity management system and economic situation, the elements of reduce the efficiency were been found out by analyzing the DEA results. And a series of suggestions were proposed to increase the comprehensive efficiency.

Bidding Evaluation of Construction Engineering Using Extend Data Envelopment Analysis Method

2011 ◽  
Vol 243-249 ◽  
pp. 6369-6372 ◽  
Author(s):  
Qing Shuang ◽  
Yong Bo Yuan ◽  
Kai Shuang
Keyword(s):  
Data Envelopment Analysis ◽  
Evaluation Model ◽  
Indicator System ◽  
Data Envelopment ◽  
Analysis Method ◽  
Construction Engineering ◽  
Body Of Knowledge ◽  
Model Yield ◽  
Practical Engineering ◽  
Secondary Function

Bidding evaluation is a complex but important decision making process for buyer to ensure the project accomplish smoothly. Bidding evaluation has 1) separation in commercial and technical tender; 2) subjectivity in weights allocation. In order to solve the problems, this paper sought to build a new bidding evaluation model with an indicator system, based on Project Management Body of Knowledge (PMBOK). Data envelopment analysis (DEA) was introduced to assess the rank. With an alternative secondary function, the model extended the application of DEA cross-efficiency method. Experiment with a practical engineering showed the new model yield stable bidding scores and demonstrated its applicability.

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).

scholarly journals A Slacks-based Measure in the Presence of Ratio Variable with Convexity Consideration

2020 ◽  
pp. 53-62
Author(s):  
Farzaneh Ghaffari ◽  
Morteza Haghiri
Keyword(s):  
Decision Making ◽  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Data Envelopment ◽  
Analysis Method ◽  
Input Output ◽  
Input And Output ◽  
Ratio Data ◽  
Measuring Efficiency ◽  
Decision Making Units

The nature of input-output relationships in general and ratio data in particular has important consequences for practitioners when the data envelopment analysis method is used to  measure technical efficiency of decision making units or production units. Since the data envelopment analysis approach was introduced several studies tried to develop the model from different aspects including when the model deals with ratio data. To date, none of these studies was able to address the aforementioned problem properly and as a result most of them suffered from a lack of clarity in the presence of input-and-output ratios. This study proposes a slacks-based measure of efficiency in the presence of ratio variable. Our approach deals directly with the input excess and the output shortfalls of the decision making units’ concerns, and as a result, improved measuring efficiency scores.

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