Does FDI Attract Immigrants? An Empirical Gravity Model Approach

2018 ◽  
Vol 53 (1) ◽  
pp. 237-253
Author(s):  
James T. Bang ◽  
Raymond MacDermott
Keyword(s):  
Foreign Direct Investment ◽  
Gravity Model ◽  
Direct Investment ◽  
Oecd Country ◽  
Oecd Countries ◽  
Dynamic Panel ◽  
Panel Methods ◽  
Using Data ◽  
And Migration ◽  
Model Approach

This study tests whether foreign direct investment (FDI) and migration are substitutes or complements using data on bilateral FDI flows from countries that are members of the Organisation for Economic Co-operation and Development (OECD) and bilateral immigration to OECD countries over the period 1996 to 2006. Our most conservative estimates, using dynamic panel methods, suggest that a $1 million increase in FDI to another OECD country increases immigration by about 60 migrants, while the same increase to non-OECD locations increases migration by about 1,000. These findings support a core-periphery model of globalization and development.

scholarly journals The Determinants of Vietnam’s Exports to CPTPP Members: A Gravity Model Approach

2020 ◽  
Vol 11 (5) ◽  
pp. 341
Author(s):  
Phan Thanh Hoan
Keyword(s):  
Foreign Direct Investment ◽  
Exchange Rate ◽  
Gravity Model ◽  
Direct Investment ◽  
Impact Factors ◽  
Income Gap ◽  
Trade Potential ◽  
The Impact ◽  
Economic Size ◽  
Model Approach

This study examines the determinants of Vietnam’s export to CPTPP by applying the gravity model to panel data for the period of 2003-2016. Besides the conventional variables such as economic size and distance between trade parties; exchange rate, bilateral tariff, income gap, and foreign direct investment (FDI) are included in the model. The results show that the export of Vietnam to CPTPP is influenced by economic size (GDP), income gap, bilateral tariffs, FDI, and exchange rate. Among the impact factors, economic size, exchange rate, and income gap have significant impact on Vietnam's exports to CPTPP. The trade potential between Vietnam and CPTPP is also calculated based on gravity model results. Vietnam’s export to CPTPP is predicted to expand significantly in its member markets. 

Higher education, gender, and foreign direct investment: Evidence from OECD countries

2021 ◽  
pp. 095042222199727
Author(s):  
George Pantelopoulos
Keyword(s):  
Higher Education ◽  
Foreign Direct Investment ◽  
Direct Investment ◽  
Tertiary Education ◽  
Labour Force ◽  
Oecd Countries ◽  
Educational Levels ◽  
Education Statistics ◽  
Level Of Significance ◽  
The Relationship

The objective of this study was to explore and empirically investigate the relationship between the labour force across educational levels and foreign direct investment (FDI), and to facilitate comparisons of education statistics and indicators across countries based on uniform and internationally agreed definitions. The analysis focuses on OECD countries. The empirical findings suggest that an educated labour force positively affects inward FDI. However, different educational levels do not have the same level of significance; tertiary education appears to have the greatest influence. As far as gender is concerned, the level of female participation in the workforce seems to be crucial in attracting FDI, and governments should therefore adopt policies to promote women’s empowerment.

scholarly journals Is Russia successful in attracting foreign direct investment? Evidence based on gravity model estimation

2016 ◽  
Vol 16 (3) ◽  
pp. 245-267 ◽  
Author(s):  
Oleg Mariev ◽  
Igor Drapkin ◽  
Kristina Chukavina
Keyword(s):  
Foreign Direct Investment ◽  
Gravity Model ◽  
Host Country ◽  
Direct Investment ◽  
Recipient Country ◽  
Developed Countries ◽  
Likelihood Method ◽  
Empirical Estimation ◽  
Fdi Inflows ◽  
Russian Economy

Abstract The aim of this paper is twofold. First, it is to answer the question of whether Russia is successful in attracting foreign direct investment (FDI). Second, it is to identify partner countries that “overinvest” and “underinvest” in the Russian economy. We do this by calculating potential FDI inflows to Russia and comparing them with actual values. This research is associated with the empirical estimation of factors explaining FDI flows between countries. The methodological foundation used for the research is the gravity model of foreign direct investment. In discussing the pros and cons of different econometric methods of the estimation gravity equation, we conclude that the Poisson pseudo maximum likelihood method with instrumental variables (IV PPML) is one of the best options in our case. Using a database covering about 70% of FDI flows for the period of 2001-2011, we discover the following factors that explain the variance of bilateral FDI flows in the world economy: GDP value of investing country, GDP value of recipient country, distance between countries, remoteness of investor country, remoteness of recipient country, level of institutions development in host country, wage level in host country, membership of two countries in a regional economic union, common official language, common border and colonial relationships between countries in the past. The potential values of FDI inflows are calculated using coefficients of regressors from the econometric model. We discover that the Russian economy performs very well in attracting FDI: the actual FDI inflows exceed potential values by 1.72 times. Large developed countries (France, Germany, UK, Italy) overinvest in the Russian economy, while smaller and less developed countries (Czech Republic, Belarus, Denmark, Ukraine) underinvest in Russia. Countries of Southeast Asia (China, South Korea, Japan) also underinvest in the Russian economy.

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