scholarly journals Evaluation of Operation Efficiency of High-Tech Industry with Application of Data Envelopment Analysis

2019 ◽  
Vol 64 ◽  
pp. 130-139
Author(s):  
Li WEI ◽  
Thomas WARD

High-tech industry is facing the globally competitive situation that the development strategy for technology industry to integrate national power, combine international resources, and conform to the market trend is required for developing the internationally competitive high-tech industry in China. Following high customization and the development of product diversification to conform to various customer needs as well as short product life cycle, it becomes more important to understand the relative business performance of high-tech companies to the industry in China and evaluate the strengths and weaknesses in order to rapidly respond to customer needs and maintain high-quality products. Modified Delphi Method is utilized in this study for selecting inputs and outputs. The variable data used in this study are acquired from open statistical data of enterprises. Data Envelopment Analysis (DEA) is further used for evaluating the efficiency. The research results conclude that 1 DMU shows strong efficiency, with better operation efficiency, 4 DMUs present the operation efficiency between 0.9 and 1 that the operation efficiency can be more easily enhanced, and 5 DMUs appear the operation efficiency lower than 0.9, with obvious inefficiency. Furthermore, inputs and outputs are gradually removed in DEA for understanding the sensitivity to efficiency. Finally, suggestions are proposed according to the results, expecting to assist high-tech industry in China in the business development.

2015 ◽  
Vol 65 (s2) ◽  
pp. 101-113 ◽  
Author(s):  
Ling Jiang ◽  
Yunyu Jiang ◽  
Zhijun Wu ◽  
Dongsheng Liao ◽  
Runfa Xu

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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