Modeling and Empirical Analysis of Regional Science and Technology Innovation Performance Evaluation Index System

DOI

10.2991/icssed-19.2019.3How to use a DOI?

Keywords

Regional science and technology innovation, Performance evaluation, Indicator system, Principal component analysis.

Abstract

Comprehensive and accurate evaluation of regional science and technology innovation performance is the basis for building a new area of technological innovation. In this paper, using principal component analysis method, aiming at the scientific and technological innovation performance data of Jiangsu Province in the past five years, combined with the characteristics of science and technology innovation of local education, enterprise, industry, economy and high-tech industry, the three-layer performance index evaluation system is constructed through SPSS software. The system consists of 15 three-level indicators under three secondary indicators. Under the different weight distribution conditions, the final first-level evaluation score index is obtained. Based on the analysis of data from Jiangsu Province from 2012 to 2016, this paper concludes that the performance level of science and technology innovation in Jiangsu Province is increasing year by year.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Luo Wen
AU  - Dai Zilong
AU  - Fang Xi
AU  - Wang Guangjie
PY  - 2019/05
DA  - 2019/05
TI  - Modeling and Empirical Analysis of Regional Science and Technology Innovation Performance Evaluation Index System
BT  - Proceedings of the 2019 4th International Conference on Social Sciences and Economic Development (ICSSED 2019)
PB  - Atlantis Press
SP  - 9
EP  - 18
SN  - 2352-5398
UR  - https://doi.org/10.2991/icssed-19.2019.3
DO  - 10.2991/icssed-19.2019.3
ID  - Wen2019/05
ER  -