人口老龄化、外商直接投资与金融发展——基于中国省际面板数据的门槛模型分析
发布时间：2018-09-16 20:00
【摘要】：随着中国人口老龄化程度不断加深,人口红利日益减弱;尤其在地区金融发展参差不齐的情况下,中国人口老龄化与FDI流入之间的关系变得更加微妙。在梳理人口老龄化和金融发展对FDI影响机制的基础上,本文利用面板门槛模型和2000-2014年中国的省际面板数据对其进行实证分析,发现人口老龄化对FDI流入具有显著的抑制作用,呈非线性负相关,且其抑制作用会因金融发展和地区的不同而存在较大差异。因此,及时调整人口发展战略、提高劳动要素生产率、深化金融市场改革,是中国应对人口老龄化、促进FDI流入的重要途径。
[Abstract]:With the deepening of China's aging population, the demographic dividend is weakening day by day. Especially in the case of uneven regional financial development, the relationship between China's aging population and FDI inflow has become more subtle. The empirical analysis of China's inter-provincial panel data in 2014 shows that population aging has a significant inhibitory effect on FDI inflow, which is nonlinear and negatively correlated, and the inhibitory effect will vary greatly depending on the financial development and region. Therefore, we should adjust the population development strategy in time, improve the productivity of labor factors and deepen the financial market. Field reform is an important way for China to cope with population aging and promote FDI inflow.
【作者单位】： 武汉大学美国加拿大经济研究所;武汉大学经济与管理学院;
【基金】：国家社科基金重大项目,项目编号:16ZDA039,15ZDA061
【分类号】：C924.24;F832.6
本文编号：2244633
[Abstract]:With the deepening of China's aging population, the demographic dividend is weakening day by day. Especially in the case of uneven regional financial development, the relationship between China's aging population and FDI inflow has become more subtle. The empirical analysis of China's inter-provincial panel data in 2014 shows that population aging has a significant inhibitory effect on FDI inflow, which is nonlinear and negatively correlated, and the inhibitory effect will vary greatly depending on the financial development and region. Therefore, we should adjust the population development strategy in time, improve the productivity of labor factors and deepen the financial market. Field reform is an important way for China to cope with population aging and promote FDI inflow.
【作者单位】： 武汉大学美国加拿大经济研究所;武汉大学经济与管理学院;
【基金】：国家社科基金重大项目,项目编号:16ZDA039,15ZDA061
【分类号】：C924.24;F832.6
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，本文编号：2244633
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