摘要
文章利用我国1995—2015年的经济数据,通过构建结构向量自回归模型(SVAR模型),运用协整检验、脉冲响应、方差分解等方法深入探究了技术创新、城镇化与经济增长之间的互动关系。研究发现:三个变量之间存在长期均衡关系;技术创新与经济增长、城镇化已形成良性互动机制;经济增长对城镇化具有显著推动作用,而城镇化对经济增长的推动作用具有长期滞后性;技术创新对经济增长的影响大于城镇化对经济增长的影响。
Based on China＇s economic data from 1995 to 2015, this paper studies the dynamic relationship among technological innovation,urbanization and economic growth by using co-integration test,impulse response and variance decomposition with SVAR model. The study finds that a long-term equilibrium relationship exists among the three variables; technological innovation,economic growth and urbanization have formed a benign interaction mechanism ; economic growth has a significant pulling effect on urbanization, while urbanization has a long-term lagging effect on economic growth ;the impact of technological innovation on economic growth isgreater than the impact of urbanization on economic growth.
作者
蒋晓光
刘守乾
陈龙丹
JliANG Xiao-guang;LIU Shou-qian;CHEN Long-dan(School of Economics and Management,East China Jiaotong University,Nanchang,Jiangxi,330000,Chin)
出处
《西华大学学报（哲学社会科学版）》
2018年第4期87-92,共6页
Journal of Xihua University(Philosophy & Social Sciences)
基金
江西省软科学研究计划项目"江西省科技创新团队绩效评估模型与实证"(项目编号:20132BBA10035)
关键词
技术创新
城镇化
经济增长
VAR模型
technological innovation
urbanization
economic growth
SVAR model
