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    经济经纬 2016 Issue (2) :84-89
    产业经济 最新目录 | 下期目录 | 过刊浏览 | 高级检索 |
    金融发展与产业结构升级非线性关系研究——基于门槛模型的实证检验
    陶爱萍,徐君超
    合肥工业大学 经济学院,安徽 合肥 230601
    The Nonlinear Relationship between Financial Development and Industrial Structure Upgrading——An Empirical Analysis Based on Threshold Methodology
    TAO Ai-ping, XU Jun-chao
    School of Economics, Hefei University of Technology, Hefei 230601, China
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摘要 金融发展是促进产业结构升级的重要手段。为此,笔者基于Hansen门槛模型,以金融发展水平作为门槛变量,对我国金融发展与产业结构升级的关系进行研究。结果表明:(1)金融发展与产业结构升级存在非线性相关关系,在不同金融发展水平下,金融发展对产业结构升级的促进作用不同,呈现出先上升后下降的倒“U”型趋势;(2)我国金融发展与产业升级非线性关系的表现形式在区域上存在差异。中西部的金融发展水平较低,促进作用却更为明显;东部的金融发展水平较高,但促进作用却较小。
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陶爱萍
徐君超
关键词金融发展   产业结构升级   门槛模型   非线性关系     
Abstract: Industrial structure upgrading is the only way to achieve China’s economic growth and sustainable development. For this, based on the threshold of Hansen model, with the level of financial development as the threshold variables, the relationship between financial development and industrial structure upgrading in China was studied. The results show that: (1) there is a nonlinear relationship between financial development and industrial structure upgrading. Under the different level of financial development, the promoting to industrial structure upgrading is different, showed up inverted u-shaped trend. (2) The forms of nonlinear relationship between financial development and industrial structure upgrading changes on the regional. The level of financial development are lower in the central and western region, the promoting effect are more obvious; the level of financial development is higher in the eastern region, the promoting effect even smaller.
KeywordsFinancial Development   Industrial Structure Upgrading   Threshold Model   Nonlinear Relationship     
收稿日期 2016-03-28; 接受日期 2016-03-28;
基金资助:国家社会科学基金项目 (14BJL088)
作者简介: 陶爱萍(1970- ),女,安徽枞阳人,教授,博士,主要从事产业经济、技术经济研究;徐君超(1990- ),男,安徽无为人,硕士研究生。
引用本文:   
陶爱萍,徐君超.金融发展与产业结构升级非线性关系研究——基于门槛模型的实证检验[J].  经济经纬, 2016,2: 84-89
TAO Ai-ping, XU Jun-chao.The Nonlinear Relationship between Financial Development and Industrial Structure Upgrading——An Empirical Analysis Based on Threshold Methodology[J]  Economic Survey, 2016,V33(2): 84-89
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