Analysis of Regional Differences in Comprehensive Performance of Scientific Research Institutions in China (An Empirical Study Based on FA-SFA Model)

DOI

10.2991/assehr.k.200207.012How to use a DOI?

Keywords

stochastic frontier, research performance, stochastic convergence

Abstract

Based on FA model and SFA model, this paper selects data of scientific research institutions of 28 provinces in 4 regions of China from 2010 to 2016, measures the comprehensive performance of domestic scientific research institutions, analyzes the impact of Manpower and capital input and environmental factors on the comprehensive performance of scientific research institutions and the stochastic convergence of the comprehensive performance of scientific research institutions. We found that: Firstly, The overall performance of domestic scientific research institutions is related to geographical regions. The eastern region has the highest performance with its output human-driven. The central region has the fastest improvement in performance and the western region has the lowest performance which fluctuates greatly with time. Both the eastern and western regions are capital-driven. Secondly, environmental factors affect different areas in different degrees.

Copyright

© 2020, 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  - Yu-Cen Wei
AU  - Hui-Jun Liu
PY  - 2020
DA  - 2020/02/17
TI  - Analysis of Regional Differences in Comprehensive Performance of Scientific Research Institutions in China (An Empirical Study Based on FA-SFA Model)
BT  - Proceedings of the International Academic Conference on Frontiers in Social Sciences and Management Innovation (IAFSM 2019)
PB  - Atlantis Press
SP  - 72
EP  - 80
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.200207.012
DO  - 10.2991/assehr.k.200207.012
ID  - Wei2020
ER  -