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可达性与外资流入水平影响机制研究——以267个地级市的高铁数据为例
Research on the Influence Mechanism of Ac-cessibility and Foreign Capital Inflow Level—Taking High-Speed Rail Data of 267 Prefecture-Level Cities as an Example

DOI: 10.12677/WER.2023.121005, PP. 47-57

Keywords: 高铁,外商投资,多期DID,城市数据
High-Speed Rail
, Foreign Investment, Multi-Period DID, City Data

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Abstract:

随着全球化经济的日益加深,国家的交流日益加深,外商直接投资(FDI)作为国际资本流动的一种形式正在受到越来越多国家的重视。中国的高铁产业已经走在了世界前列,高铁的开通能够提升区域的可达性,那么这对于我国吸引外资存在什么影响呢?本文构建了高铁对沿线FDI的影响机制,然后通过搜集高铁开通城市的数据以及267个地级市从2008~2016年的FDI数据,构造多期DID模型进行实证分析,研究发现,高铁开通会促进一个城市FDI的流入。在加入了其他的控制变量之后,分析得出,影响城市FDI流入的因素还有城市自身发展水平、城市自然禀赋、基础设施投资和建设、居民素质以及城市产业结构,政府可以通过增加财政收入、提高科学技术水平财政支出、提高地区生产总值、增加基础设施投资和建设、优化自身产业结构等方面做出努力,从而达到吸引外资流入的目的。
With the deepening of global economy and communication between countries, Foreign Direct Investment (FDI), as a form of international capital flow, is attracting more and more attention. China’s high-speed rail industry has been at the forefront of the world, and the opening of high-speed rail can improve regional accessibility. So what impact does this have on attracting foreign investment in China? This paper constructs the impact mechanism of high-speed rail on FDI along the route, and then, by collecting the data of high-speed rail-opened cities and FDI data of 267 prefecture-level cities from 2008 to 2016, constructs a multi-period DID model for empirical analysis, and finds that the opening of high-speed rail will promote the inflow of FDI in a city. After adding other control variables, the analysis shows that the factors that affect the inflow of FDI in cities are the city’s own development level, city natural endowment, infrastructure investment and construction, residents’ quality, and city industrial structure. The government can make efforts to achieve the purpose of attracting the inflow of foreign capital by increasing fiscal revenue, raising the level of science and technology, increasing regional GDP, increasing infrastructure investment and construction, optimizing its own industrial structure, and so on.

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