Study on the R&D performance of high-tech industry in China - based on data envelopment analysis

2017 ◽  
Vol 20 (3) ◽  
pp. 909-920 ◽  
Author(s):  
Huan Ge ◽  
Shun-Yong Yang
Keyword(s):  
Data Envelopment Analysis ◽  
High Tech ◽  
Data Envelopment ◽  
High Tech Industry

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.

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
Keyword(s):  
Data Envelopment Analysis ◽  
Product Life Cycle ◽  
Product Diversification ◽  
High Tech ◽  
Data Envelopment ◽  
Competitive Situation ◽  
High Tech Industry ◽  
Customer Needs ◽  
Operation Efficiency ◽  
Inputs And Outputs

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.

scholarly journals The Implementation of Supply-side Structural Reform: Next Chapter for High-Tech Development Zones

2021 ◽  
Vol 235 ◽  
pp. 02036
Author(s):  
Tian Di
Keyword(s):  
Disruptive Innovation ◽  
Economic Transformation ◽  
Structural Reform ◽  
High Tech ◽  
Supply Side ◽  
Data Envelopment ◽  
High Tech Industry ◽  
The Sustainable Development ◽  
Effective Development ◽  
Near Future

Promoting supply-side structural reform is the key to China’s economic transformation and upgrading. As disruptive innovation is affecting different sectors and areas of society, numerous high-tech development zones should fully release their vitality and realize unprecedented development while contributing to this reform. This study attempted to further analyze the Research and Development (R&D) efficiency of high-tech zones in the past mode, and shed light on a more advanced and effective development pattern in the near future. This paper used Data Envelopment Analysis (DEA) model, which is a linear programming method to measure the efficiency between multiple decision-making units, and categorized three decisive factors to reach solid conclusions [1]. Our statistical results indicated that the low R&D efficiency is ubiquity among high-tech industries, and there is not yet a strong platform for advanced R&D activities. Lastly, this paper suggested strategies to maintain the sustainable development of the high-tech industry under the supply-side reform.

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.

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