Evaluation of Regional Science and Technology Innovation Policy Effect Based on Lasso and BP Neural Network

Zhang Yongan,Guan Yongjuan

doi:10.18178/ijmlc.2020.10.1.900

Abstract

Evaluation of Regional Science and Technology Innovation Policy Effect Based on Lasso and BP Neural Network

Highlights

On May 20, 2016, the State Council issued the outline of the national strategy for innovation-driven development, proposing to build China into a world power in science, technology and innovation, and a major science center and innovation plateau by 2050.Technological innovation is once again the focus of the industry
In order to realize the great goal of becoming a strong country in science and technology, a number of scientific and technological innovation policies have been launched from the national level to the local level
Have domestic scholars in a specific area do policy study effect evaluation of the breakthrough point, this part of the research is mainly combined with different provinces and regions to do effect of regional technology innovation policy research, throughout the domestic scholar's research, in the innovation policy effect evaluation methods used in the present diversity, method of DEA, grey correlation degree, the fuzzy mathematics theory, office value method, expert scoring method, econometric model and analytic hierarchy process, factor analysis, set pair analysis method, least squares estimation and Heckman two step correction method, but there are few scholars combined with big policy effect evaluation on the data analysis method, This paper tries to find a new perspective of policy effect evaluation

Summary

Introduction

On May 20, 2016, the State Council issued the outline of the national strategy for innovation-driven development, proposing to build China into a world power in science, technology and innovation, and a major science center and innovation plateau by 2050.Technological innovation is once again the focus of the industry. In order to realize the great goal of becoming a strong country in science and technology, a number of scientific and technological innovation policies have been launched from the national level to the local level. Whether these scientific and technological innovation policies can achieve the expected effect is still worth in-depth discussion. Have domestic scholars in a specific area do policy study effect evaluation of the breakthrough point, this part of the research is mainly combined with different provinces and regions to do effect of regional technology innovation policy research, throughout the domestic scholar's research, in the innovation policy effect evaluation methods used in the present diversity, method of DEA, grey correlation degree, the fuzzy mathematics theory, office value method, expert scoring method, econometric model and analytic hierarchy process, factor analysis, set pair analysis method, least squares estimation and Heckman two step correction method, but there are few scholars combined with big policy effect evaluation on the data analysis method, This paper tries to find a new perspective of policy effect evaluation

Results

Discussion

Conclusion