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Dynamic Analysis of Regional Scientific and Technological Innovation Capacity—A Case Study in Sichuan Province

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Proceeding of the 24th International Conference on Industrial Engineering and Engineering Management 2018

Abstract

Aiming at the problem of regional scientific and technological innovation, this paper, first, adopted a dynamic model of regional scientific and technological innovation capacity, based on three aspects, environment, input, and achievement to scientific and technological innovation, and then used entropy method and improved vertical scatter degree method to respectively calculate the horizontal and vertical score of each region, finally, carried out the empirical research by taking Sichuan Province as an example, and analyzes the results.

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Acknowledgements

This research is funded by the National Nature Science Foundation of China (71302134), Foundation of Academic Leader Training in Sichuan Province ([2015]100-6).

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Authors and Affiliations

  1. Department of Industrial Engineering, Sichuan University, Chengdu, China

    Xue-dong Liang & Tan Liu

  2. Department of Logistics Engineering, Sichuan University, Chengdu, China

    Dong-yang Si & Tan Liu

  3. Manufacturing Department, Sichuan Chengfei Integration Technology Co. Ltd, Chengdu, China

    Zhi Li & Tan Liu

Authors
  1. Xue-dong Liang
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  2. Dong-yang Si
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  3. Zhi Li
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  4. Tan Liu
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Corresponding author

Correspondence to Zhi Li .

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Editors and Affiliations

  1. Department of Industrial and Manufacturing Systems Engineering, The University of Hong Kong, Hong Kong, Hong Kong

    George Q. Huang

  2. Department of Industrial Engineering and Engineering Management, National Tsing Hua University, Hsinchu, Taiwan

    Chen-Fu Chien

  3. Department of Information Management and Management Science, Tianjin University, Tianjin, China

    Runliang Dou

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Liang, Xd., Si, Dy., Li, Z., Liu, T. (2019). Dynamic Analysis of Regional Scientific and Technological Innovation Capacity—A Case Study in Sichuan Province. In: Huang, G., Chien, CF., Dou, R. (eds) Proceeding of the 24th International Conference on Industrial Engineering and Engineering Management 2018. Springer, Singapore. https://doi.org/10.1007/978-981-13-3402-3_34

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