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FDI质量对区域经济高质量发展影响的门槛效应研究 被引量:1

An Empirical Research on the Threshold Effect of FDI Quality on High-Quality Growth of Regional Economy
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摘要 外商直接投资(FDI)是推动经济增长的重要因素之一,其质量对我国经济高质量发展有着至关重要的作用。以2006—2019年我国省级面板数据为样本,采用Index DEA模型构建经济高质量发展指标体系,以技术进步作为门槛变量,运用面板门槛模型检验FDI质量对经济高质量发展的影响效应。研究发现:FDI质量对经济高质量发展存在非线性门槛效应;随着技术进步的提升,FDI质量对经济高质量发展的影响逐渐增强;对于全国和东西部地区,FDI质量对经济高质量发展存在双门槛效应,对中部地区存在单门槛效应。研究结论表明,各区域应在提高技术水平的基础上,合理引进高质量外商直接投资,实现经济高质量发展。 Foreign direct investment(FDI) is one of the important factors to promote China’s economic growth, whose quality plays a crucial role in China’s high-quality economic growth. Taking the provincial panel data in China from 2006 to 2019 as samples, this paper adopts the Index DEA model to construct an index system for high-quality economic grwoth. Then it takes technological progress as the threshold variable and uses the panel threshold model to analyze the effect of FDI quality on high-quality economic growth. It is found that FDI quality has a nonlinear threshold effect on high-quality economic growth. With the improvement of technological progress, the effect of FDI quality on high-quality economic growth increases successively. For the whole country, eastern and western regions, FDI quality has a double threshold effect on high-quality economic growth, and a single threshold effect on that in the central region. The research shows that it is reasonable for each region, on the basis of improving the technical level, to introduce high-quality FDI in order to realize high-quality economic growth.
作者 李洪伟 毛文鸣 权英 吴士健 LI Hongwei;MAO Wenming;QUAN Ying;WU Shijian(College of Humanities and Law,Shandong University of Science and Technology,Qingdao,Shandong 266590,China;College of Economics and Management,Shandong University of Science and Technology,Qingdao,Shandong 266590,China)
出处 《山东科技大学学报(社会科学版)》 2022年第5期68-79,共12页 Journal of Shandong University of Science and Technology(Social Sciences)
基金 山东省自然科学基金项目(ZR2019MG030)。
关键词 FDI质量 经济高质量发展 技术进步 门槛回归 FDI quality high-quality economic growth technological progress threshold regression
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