Innovation performance of listed companies based on machine computing and data envelopment analysis

2021 ◽  
Author(s):  
Xuan Song
Keyword(s):  
Data Envelopment Analysis ◽  
Listed Companies ◽  
Innovation Performance ◽  
Data Envelopment

An Application Of Data Envelopment Analysis To Benchmark CEO Remuneration: A South African Study

2013 ◽  
Vol 29 (5) ◽  
pp. 1509 ◽  
Author(s):  
Marli Theunissen ◽  
Merwe Oberholzer
Keyword(s):  
Data Envelopment Analysis ◽  
South African ◽  
Stock Exchange ◽  
Listed Companies ◽  
Data Envelopment ◽  
Efficiency Frontier ◽  
Cross Sectional ◽  
Johannesburg Stock Exchange ◽  
Multiple Components ◽  
And Performance

<p>The purpose of the study is twofold; firstly, to use data envelopment analysis (DEA) to estimate the technical efficiencies of Johannesburg Stock Exchange (JSE)-listed companies (per industry) to convert the multiple components of CEO remuneration into multiple company determinants, namely size and performance indicators, and secondly, to develop an efficiency frontier to serve as a benchmark to suggest acceptable CEO remuneration levels. An empirical study was executed on a sample of 221 JSE-listed companies. Cross-sectional data of CEO remuneration and company determinants were obtained from the McGregor BFA database for the 2010 financial year. The study found that CEOs from 80 of the 221 companies included in the sample emerged as the benchmark CEOs and formed the efficiency frontier against which inefficient CEOs were compared. The practical value is that remuneration committees can use this model, which is based on best practices, to simplify the structuring of reasonable CEO remuneration packages.</p>

The Operational Efficiency Analysis of Listed Companies in Road-Transportation Industry of China Based on DEA

2010 ◽  
Vol 33 ◽  
pp. 399-403
Author(s):  
Xiu Hui Qi ◽  
Tien An Zhang ◽  
Zhi Yong Wu ◽  
Wei Wang
Keyword(s):  
Resource Allocation ◽  
Data Envelopment Analysis ◽  
Listed Companies ◽  
Efficiency Analysis ◽  
Operational Efficiency ◽  
Data Envelopment ◽  
Transportation Industry ◽  
Road Transportation ◽  
Business Operation ◽  
Main Factor

Taken the 20 road-transportation listed companies in China as the research object, the author evaluated the efficiency of its operation with data envelopment analysis (DEA), and found that only 35% of the listed companies is DEA (CCR) efficient and in the best state of production, overall operational efficiency of others is not high, in which too many inputs are the main factor of affecting the efficiency of business operation. The author put forward the means of optimizing of resource allocation and improving the operational efficiency of the listed companies.

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