scholarly journals Study on the Technical Efficiency of Creative Human Capital in China by Three-Stage Data Envelopment Analysis Model

2014 ◽  
Vol 2014 ◽  
pp. 1-12 ◽  
Author(s):  
Jian Ma ◽  
Yueru Ma ◽  
Yong Bai ◽  
Bing Xia
Keyword(s):  
Human Capital ◽  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Environmental Variables ◽  
Skill Training ◽  
Data Envelopment Analysis Model ◽  
Data Envelopment ◽  
Analysis Model ◽  
Education Development ◽  
Healthy Environment

Previous researches have proved the positive effect of creative human capital and its development on the development of economy. Yet, the technical efficiency of creative human capital and its effects are still under research. The authors are trying to estimate the technical efficiency value in Chinese context, which is adjusted by the environmental variables and statistical noises, by establishing a three-stage data envelopment analysis model, using data from 2003 to 2010. The research results indicate that, in this period, the entirety of creative human capital in China and the technical efficiency value in different regions and different provinces is still in the low level and could be promoted. Otherwise, technical non-efficiency is mostly derived from the scale nonefficiency and rarely affected by pure technical efficiency. The research also examines environmental variables’ marked effects on the technical efficiency, and it shows that different environmental variables differ in the aspect of their own effects. The expansion of the scale of education, development of healthy environment, growth of GDP, development of skill training, and population migration could reduce the input of creative human capital and promote the technical efficiency, while development of trade and institutional change, on the contrary, would block the input of creative human capital and the promotion the technical efficiency.

scholarly journals Evaluating R&D and Transformation Functional Platforms’ Operational Performance Using a Data Envelopment Analysis Model: A Comparative Study

2019 ◽  
Vol 11 (18) ◽  
pp. 5023 ◽  
Author(s):  
Cao ◽  
You ◽  
Shi ◽  
Hu
Keyword(s):  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Performance Status ◽  
Value Added ◽  
Scale Efficiency ◽  
High Tech ◽  
Data Envelopment Analysis Model ◽  
Data Envelopment ◽  
Analysis Model ◽  
Operation Performance

The purpose of this paper is to provide a contribution to the development of R&D and transformation functional platforms by identifying key performance influencing factors in the use of data envelopment analysis (DEA) to analyze platform operation performance status and reasons. The DEA method is undertaken to calculate the comprehensive efficiency, pure technical efficiency and scale efficiency of R&D and transformation functional platforms in China’s 30 provinces within the period 2016–2018. Based on the 2018 pure technical efficiency and scale efficiency calculations, the K-means clustering method was used to classify the R&D and transformation functional platforms of 30 provinces. Finally, according to the clustering results, the corresponding clustering improvement scheme is given. The operational level of R&D and transformation functional platforms in many provinces of China still needs to be improved: the R&D and transformation capabilities are weak, the market share of leading products is low, the ability of new technology value-added is insufficient, and the development of R&D and transformation functional platforms has regional imbalance. This study is based solely on statistical data, these data alone obviously cannot fully describe and evaluate the real state of R&D and transformation functional platform due to the complexity and diversity of platforms. Further research is needed to generalize beyond the performance indicators constructed in this paper. For the problems of low overall operation efficiency, unbalanced regional development, redundancy of input resources and lack of professional management personnel in the operation of R&D and transformation functional platforms, policy suggestions can be put forward according to clustering results and input and output adjustment values calculated based on relaxation variables. The study presenting a methodology for analyzing R&D and transformation functional platforms’ operation performance, and the conclusions will provide reference for the development of platforms and high-tech industries.

Performance Analysis of Hospitals in Kerala Using Data Envelopment Analysis Model

2020 ◽  
Vol 22 (1) ◽  
pp. 25-40
Author(s):  
Saswat Barpanda ◽  
Neena Sreekumar
Keyword(s):  
Data Envelopment Analysis ◽  
Performance Analysis ◽  
Technical Efficiency ◽  
Hospital Performance ◽  
Vital Role ◽  
Data Envelopment Analysis Model ◽  
Data Envelopment ◽  
Analysis Model ◽  
Input And Output ◽  
Using Data

Performance analysis in any industry plays a vital role in understanding the current scenario and thereby improving the overall efficiency. Using a sample of 20 hospitals randomly selected in Kerala, performance measures of quality were examined as they related to technical efficiency. Efficiency scores for the study hospitals were computed using data envelopment analysis (DEA). The study found that the technically efficient hospitals were performing well as far as quality measures were concerned. DEA can be used to benchmark both dimensions of hospital performance, that is, technical efficiency and quality. The variables selected for the study were divided under input and output measures. Using the DEA model, the factors considered were weighed and analysis was done. The input variables under study are bed number, trained medical staff and services offered. The output variables considered were outpatient rate, mortality rate and number of surgical operations in a month. Through the study, performance of each hospital is measured, and it aims to find out a relation between the input and output variables.

scholarly journals The Measurement of Innovation Efficiency of Chinese High-tech Industry Using Data Envelopment Analysis

2015 ◽  
Vol 65 (s2) ◽  
pp. 101-113 ◽  
Author(s):  
Ling Jiang ◽  
Yunyu Jiang ◽  
Zhijun Wu ◽  
Dongsheng Liao ◽  
Runfa Xu
Keyword(s):  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Environmental Variables ◽  
Scale Efficiency ◽  
High Tech ◽  
Data Envelopment ◽  
High Tech Industry ◽  
Economic Competitiveness ◽  
Development Level ◽  
Using Data

In the era of knowledge economy, a country’s economic competitiveness depends largely on the development level of high-tech industry. This paper evaluates the efficiency of China’s high-tech industry in 31 provinces in 2012 with data envelopment analysis. The empirical results are summarized as following. Firstly, when the effects of exogenous environmental variables are not controlled, the comprehensive technical efficiency of 31 provinces will be overestimated, the pure technical efficiency will be underestimated, and the scale efficiency value will be overestimated. Secondly, after eliminating the environmental impact, the comprehensive technical efficiency of 31 provinces with the average of 0.395 is rather low, due to the low scale efficiency.

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