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The Rsearch Of Relationship Between FDI And Economic Growth Of Shaanxi--A Bootstrap-based Simulation Data Processing

Posted on:2011-01-31Degree:MasterType:Thesis
Country:ChinaCandidate:Z H CuiFull Text:PDF
GTID:2189360305959760Subject:International Trade
Abstract/Summary:PDF Full Text Request
Against the backdrop of growing economic globalization, FDI has become a main driving force for economic growth of all countries. China, as the largest developing country, holds one fifth of the world's population and boasts broad market. The government has constitued a series of favorable policies to attract FDI. Thus, however changes the international economic environment, and however fluctuates the FDI amount, China firmly relies on her huge potential market and daily improving investment environment to ensure FDI growth. Shaanxi province, lying in the northwest of China, has been active in developing an omni-directional and multi-level form of policy for absorbing FDI, it has created various matched measures which are conformed to the actual conditions, and tries harder to produce significant guidance effect to FDI. Therefore, the thesis is to study the development of FDI in Shaanxi province, then to explore how FDI affect the economic growth of Shaanxi, and to provide more robust empirical evidence.By reviewing relative theory of FDI, economic growth theory and so on, this paper consults related statistical data in Shaanxi from 1985 to 2008, and analyzes from the scale, area, industry, major investment mode, countries of origin and so on of FDI. Then the author introduces how FDI acts to employment, domestic investment, revenues, export trade, etc. At the same time, given the small sample data, the paper adopts the Bootstrap simulation data processing to study Granger Causality Test and impulses response function verify above these conclusions. Finally the paper provides constructive suggestions for Shaanxi on how to use FDI high scientifically and effectively.
Keywords/Search Tags:FDI, economic growth, Bootstrap simulation data processing, Granger Causality Test
PDF Full Text Request
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