Efficiency thesis Reading 1

Abstract

• research contents ： In our country 31 Calculation and decomposition of total factor productivity of high-tech industry data of each province and analysis of regional differences
• Research methods ： Variable returns to scale DEA-Malmquist Exponential model
• Using data ：11-19 In our country 31 Data of high-tech industries in various provinces
• The results ：
  • Technological progress rate and ** Pure technical efficiency ( management )** Contribute to the growth of total factor productivity
  • Clustering analysis ： east 、 In the west How does the high-tech industry contribute to the growth of total factor productivity

0 introduction

• The first paragraph ： Raise questions
  • The first sentence ： Raise questions ： The imbalance of regional development may be affected by the industrial structure
  • The second sentence ： Demonstrate the above viewpoint in combination with national policies and quoted data ： With the rapid development of high-tech industry, there are some problems
• The second paragraph : Current research trends
  • The first sentence ： By industry ( On the meso level ) Company system 、 human capital 、 Governance structure ( At the micro level ) The study of
  • The second sentence ： Research in combination with industrial characteristics The characteristics of innovation efficiency and its influencing factors
  • The third sentence ： Other studies ： Nature of enterprise
  • The fourth sentence ： Research related to this paper , Sub regional areas ： Yangtze River Economic Belt 、 the Belt and Road
    Influencing factors
    R&D efficiency
  • Fifth Bureau ： Summarize the literature review
    • More in innovation efficiency 、R&D Efficiency is rarely discussed from the perspective of high-quality development
    • Many use constant returns to scale malmquist decompose
    • Provincial or regional analysis , The differences between regions are rarely analyzed
      Therefore, this paper …… The whole industry / Subregion

1 Research design

1.1 model building

• Papers I have read
  [1] Zhangxiangsun , GUI binwei . Analysis of China's total factor productivity :Malmquist Review and application of index method [J]. The study of quantitative economy, technology and economy ,2008(06):111-122.

1.2 Index selection ： China Science and technology statistical yearbook

• Indicator selection principle
  • Select the index that best reflects the significance of the study within the range of available data 、 Non collinearity 、 Comparability
• Input indicators
  • R&D Personnel equivalent to full-time equivalent ( human capital )
  • Investment in science and technology ( Capital investment )
  • Number of enterprises
• Output indicators
  • Number of valid invention patents ( Research results )
  • New product sales revenue （ The end result ）
  • Profit total （ The ultimate goal ）

1.3 Data processing

• Divide the research objects
  Divide the decision-making unit into 4 Regions ： In the east in In the west The northeast
• Data standardization
  x = 0.1 + 0.9*$\frac{x-x_{min}}{x_{max}-x_{min}}$

2 Empirical analysis

2.1 DEAP Software calculation 10 Total factor productivity of the whole industry in and its decomposition

• Overall upward trend
  • Technical efficiency is based on an average of 0.8% The growth rate of is increasing
  • Technological progress is made every year 5.4% The growth rate of is increasing
  • This shows that the level of technological progress and the comprehensive ability of resource allocation of China's high-tech industry have been improved during the research period
• Technological progress fluctuates greatly
  • More than half the time is in a state of stagnation or even retrogression , Offset the contribution rate of technical efficiency
• Technical efficiency fluctuates greatly
  • Both pure technical efficiency and scale efficiency fluctuate , But the average value is greater than 1
  • Generally speaking, the management level of China's high-tech industry has been gradually improved
  • The industrial scale of China's high-tech industry is also more reasonable
• Technical efficiency is negatively correlated with technological progress
  • The added side is stronger
  • Total factor productivity is maintained by technical efficiency
  • Technological progress is slow
• Technical efficiency is divided into pure technical efficiency and scale efficiency
  • There is a strong positive correlation between scale efficiency and technical efficiency
  • The overall technical efficiency has increased , It is necessary to improve the management level
• Conclusion ：
  • Improve the technical level
  • Improve the management level

2.2 Analysis of regional differences

• In the middle 、 The average value of the five efficiencies in Northeast China is greater than 1
  • Industrial Development 、 technical progress 、 Ability to manage 、 The industrial scale is superior
• Western Region Technical efficiency is less than 1
  • Pay attention to improving the management level
• The East Total factor growth rate
  • Technical efficiency is less than 1 Hindering the growth of total factor productivity , Analyze the reasons
  • The management level and industrial scale need to be optimized
  • Already at a high level , It is difficult to improve
• The average value of technological progress is greater than 1 ： Increase R & D efforts 、 Introduce new technology
• The technical efficiency is greater than that in the East 1： The ability to allocate resources has been improved 、 Scale optimization

3 Conclusions and recommendations

• Conclusion ： Repeat the previous conclusion Refine
• Suggest 1： technical progress , The independent innovation 、 Introduce new technology
• Suggest 2： Management ability modern enterprise management
• Suggest 3: The region combines its own characteristics , Common progress , Common prosperity