scholarly journals The impact of foreign direct investment on exports in Jordan: An empirical analysis

2019 ◽  
Vol 12 (3) ◽  
pp. 38-47
Author(s):  
Shahriyar Mukhtarov ◽  
Mustafa Mohammad Alalawneh ◽  
Elsevar Ibadov ◽  
Ayten Huseynli
Keyword(s):  
Foreign Direct Investment ◽  
Empirical Analysis ◽  
Direct Investment ◽  
The Impact

Research on the impact of home country patent level on outward foreign direct investment: Empirical analysis via equal part linear regression model and Grey Computing

2020 ◽  
pp. 002072092092251
Author(s):  
Yuanbing Zhu ◽  
Xueying Chen ◽  
Gang Wang ◽  
Zuchang Zhong ◽  
Meier Zhuang
Keyword(s):  
Foreign Direct Investment ◽  
Linear Regression ◽  
Regression Model ◽  
Empirical Analysis ◽  
Linear Regression Model ◽  
Direct Investment ◽  
Outward Foreign Direct Investment ◽  
Equal Part ◽  
Patent Applications ◽  
The Impact

From the practice of developed countries, countries with higher patent applications and PCT patent applications (such as the United States, China, Japan, the United Kingdom, Germany, etc.) have relatively higher outward foreign direct investment, and the actual data of provinces in China also show that with the improvement of the patent level in various provinces and cities, the intensity of outward foreign direct investment in each province and city has also increased. At present, there are relatively few research data and the research method is relatively single. Therefore, collecting panel data on China’s 31 provinces from 2003 to 2016, this paper conducts an empirical analysis on the influence of patent level on outward foreign direct investment via analytical method of equal part linear regression and Grey Computing. By comparing analysis results with the model and the results with conventional linear regression model, the difference of different regression models is observed. Furthermore, the impact of China’s patent level on China’s inter-provincial outward foreign direct investment is further analyzed.

Impact of Globalization on Economic Growth in Vietnam: An Empirical Analysis

2018 ◽  
pp. 32-47 ◽  
Author(s):  
Dat Tho Tran ◽  
Van Thi Cam Nguyen
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Foreign Direct Investment ◽  
Exchange Rate ◽  
Empirical Analysis ◽  
Direct Investment ◽  
Time Series Data ◽  
Series Data ◽  
Balance Of Trade ◽  
The Impact

This study aims at investigating the impact of globalization on economic growth in the case of Vietnam. Empirical analysis is done by using time series data for the period from 1995 to 2014. The paper tested the stationary cointegration of time series data and utilized the error correction modeling technique to determine the short run relationships among economic growth, globalization, foreign direct investment, balance of trade and exchange rate variables. Then, the long run relationship between economic growth and the variables representing economic integration were estimated by ordinary least square. The results show that globalization, measured by the KOF index, promotes economic growth and Vietnam has gained from integrating into the global economy. The overall index of globalization had positively and significantly impacted the economic growth in Vietnam. The results also indicated that economic globalization had a significantly positive effect on economic growth in the period examined. The study further revealed that foreign direct investment and the exchange rate affect economic growth positively whereas balance of trade affects economic growth negatively.

scholarly journals Empirical Analysis on the Influence of Business Environment on Foreign Direct Investment Inflow Based on the Panel Data on 26 Countries

2020 ◽  
Vol 15 (8) ◽  
pp. 1223-1230
Author(s):  
Jiang Wang ◽  
Zhendong Li ◽  
Xueying Sun
Keyword(s):  
Foreign Direct Investment ◽  
Panel Data ◽  
Empirical Analysis ◽  
Direct Investment ◽  
Political Stability ◽  
Business Environment ◽  
Global Competition ◽  
Cross Border ◽  
Border Trade ◽  
The Impact

With the intensification of global competition and development of investment theories, foreign direct investment (FDI) is no longer solely affected by economic factors. Many noneconomic factors, such as policies and institution, now play an important role in FDI inflow. As a composite indicator, business environment has attracted a growing attention from investors. From theoretical and empirical perspectives, this paper quantifies and qualifies the influence of business environment over the FDI under different conditions. The impact mechanism of business environment on the FDI was refined by decomposing business environment into multiple subfactors, and considering various factors of different economies, such as natural resources (NR), technological resources (TR), and political stability (PS). An empirical analysis was conducted on the panel data of 26 countries in 2005-2018. The results show that: the host country can attract more FDI inflow by improving business environment, NR, TR, and PS; excessively high NR and TR, to a certain extent, suppress the promotion effect of business environment on FDI; four subfactors of business environment, namely, the protection of small and medium investor (PI), cross-border trade (CT), electricity supply (ES), and insolvency (IN), have relatively high promotion effects on FDI inflow. The research results enrich the theories on FDI and business environment, and provide a reference for the design of innovative polices.

ANALISIS DETERMINAN KUALITAS LINGKUNGAN PERIODE 1999-2013

2016 ◽  
Vol 21 (1) ◽  
pp. 9-20
Author(s):  
Ersalina Tang
Keyword(s):  
Foreign Direct Investment ◽  
Energy Consumption ◽  
Gross Domestic Product ◽  
Co2 Emissions ◽  
Direct Investment ◽  
Meat Consumption ◽  
Domestic Product ◽  
World Data ◽  
The World ◽  
The Impact

The purpose of this study is to analyze the impact of Foreign Direct Investment, Gross Domestic Product, Energy Consumption, Electric Consumption, and Meat Consumption on CO2 emissions of 41 countries in the world using panel data from 1999 to 2013. After analyzing 41 countries in the world data, furthermore 17 countries in Asia was analyzed with the same period. This study utilized quantitative approach with Ordinary Least Square (OLS) regression method. The results of 41 countries in the world data indicates that Foreign Direct Investment, Gross Domestic Product, Energy Consumption, and Meat Consumption significantlyaffect Environmental Qualities which measured by CO2 emissions. Whilst the results of 17 countries in Asia data implies that Foreign Direct Investment, Energy Consumption, and Electric Consumption significantlyaffect Environmental Qualities. However, Gross Domestic Product and Meat Consumption does not affect Environmental Qualities.

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