Application of threshold regression analysis to study the impact of regional technological innovation level on sustainable development

被引：98
|
作者：
Su Yi [1 ,2 ,3 ]
An Xiao-li [4 ]
机构：
[1] Harbin Engn Univ, Sch Econ & Management, Harbin 150001, Heilongjiang, Peoples R China
[2] Univ Bradford, Sch Management, Bradford BD9 4JL, W Yorkshire, England
[3] Tsinghua Univ, Sch Econ & Management, Beijing 10010, Peoples R China
[4] Harbin Engn Univ, Sch Econ & Management, Harbin 150001, Heilongjiang, Peoples R China
来源：
RENEWABLE & SUSTAINABLE ENERGY REVIEWS | 2018年 / 89卷
基金：
中国国家自然科学基金;
关键词：
Regional innovation system; Threshold regression; Sustainable development; DATA ENVELOPMENT ANALYSIS; CHINA; METHODOLOGY; PROVINCE; STRATEGY;
D O I：
10.1016/j.rser.2018.03.005
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
This paper applies a panel threshold regression model to explore the impact of the regional technological innovation level on regional sustainable development using the regional economic development level as the threshold variable and panel data from 31 Chinese provinces from 2009 to 2015. The empirical research results show a significant double threshold effect of the regional technological innovation level on regional sustainable development. Positive interrelationships are observed between the regional technological innovation level and regional sustainable development when the regional economic development level does not exceed 0.301. The regional technological innovation level plays a significant role in promoting regional sustainable development when the former is between 0.301 and 0.438, but regional innovation otherwise has a minimal promotional effect. This research enriches the scholarship on regional innovation and lays a theoretical foundation that governments can use in policy development.
引用
收藏
页码：27 / 32
页数：6
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