scholarly journals Corruption Distance and US Foreign Direct Investment Outflows

2021 ◽  
Vol 13 (7) ◽  
pp. 98
Author(s):  
Mohammad Refakar
Keyword(s):  
Foreign Direct Investment ◽  
Host Country ◽  
Direct Investment ◽  
Absolute Difference ◽  
Public Power ◽  
The Us ◽  
Negative Effect ◽  
Two Measures ◽  
Emerging And Developing Countries ◽  
The Relationship

Corruption, defined as the misuse of public power for private gains, is a problem for many emerging and developing countries. Corruption increases the poverty and reduces growth and investment. This paper aims to analyze the relationship between corruption in the host country and the US foreign direct investment towards that country. I use two measures for corruption: The Corruption Perceptions Index and the corruption distance, which is the absolute difference of the corruption in the host and the US. Using a sample of 47 countries that receive the US foreign direct investment, I find that corruption is a strong determinant of US FDI outflows and the US investors are reluctant to invest in corrupt countries. Moreover, corruption distance has a negative effect on US FDI since as the distance in corruption increases, we observe less US FDI towards the host country.

FOREIGN DIRECT INVESTMENTS AND MANUFACTURING SECTOR PERFORMANCE IN NIGERIA, (1970-2009)

2013 ◽  
Vol 03 (04) ◽  
pp. 39-56
Author(s):  
Adejumo Akintoye Victor
Keyword(s):  
Foreign Direct Investment ◽  
Direct Investment ◽  
Manufacturing Industry ◽  
Manufacturing Sector ◽  
Value Added ◽  
Foreign Direct Investments ◽  
Long Run ◽  
Negative Effect ◽  
Sector Performance ◽  
The Relationship

The study examined the relationship between foreign direct investment and the value added to the manufacturing industry in Nigeria, between the period 1970 and 2009. In view of the development and industrialising desires of Nigeria, as well as the foreign aid received in form of private investments, it is pertinent to examine the effect the presence of multinationals has had in shaping the Nigerian manufacturing industry. Using the autoregressive lag distribution technique to determine the relationship between foreign direct investment and manufacturing value added, it was discovered that in the long-run, foreign direct investments have had a negative effect on the manufacturing sub-sector in Nigeria.

scholarly journals The Relationship Between Information & Communication Technology and Foreign Direct Investment Inflow to Africa

2021 ◽  
Vol 13 (5) ◽  
pp. 22
Author(s):  
Abdisalan Salad Warsame
Keyword(s):  
Foreign Direct Investment ◽  
Panel Data ◽  
Communication Technology ◽  
Host Country ◽  
Direct Investment ◽  
Foreign Direct Investment Inflow ◽  
Information Communication ◽  
Difference In Differences ◽  
Ict Infrastructure ◽  
The Relationship

This paper examined the relationship between the increasing Information & Communication Technology (ICT) infrastructure in Africa and foreign direct investment inflow to Africa using panel data sourced from ITU and WDI over 17 years (1998-2014). The paper applies both the fixed-effect and difference-in-differences models. The results indicate that there is a positive correlation between FDI inflow and ICT level in the host country.  The surge in ICT infrastructure in 2009 has substantially increased the FDI inflow to Africa. This increase in FDI inflow was more in the countries that have access to the sea than the countries that have no access to the sea. In other words, the average scale change in FDI inflow to the countries with no access to the sea is smaller than the countries with the coastline.

scholarly journals Empirical Research on the Relationship amongst Renewable Energy Consumption, Economic Growth and Foreign Direct Investment in Kazakhstan and Uzbekistan

Energies ◽  
2021 ◽  
Vol 14 (2) ◽  
pp. 332
Author(s):  
Janusz Grabara ◽  
Arsen Tleppayev ◽  
Malika Dabylova ◽  
Leonardus W. W. Mihardjo ◽  
Zdzisława Dacko-Pikiewicz
Keyword(s):  
Economic Growth ◽  
Foreign Direct Investment ◽  
Renewable Energy ◽  
Energy Consumption ◽  
Direct Investment ◽  
Renewable Energy Sources ◽  
Energy Sources ◽  
Renewable Energy Consumption ◽  
Integration Test ◽  
The Relationship

In this contemporary era, environmental problems spread at different levels in all countries of the world. Economic growth does not just depend on prioritizing the environment or improving the environmental situation. If the foreign direct investment is directed to the polluting industries, they will increase pollution and damage the environment. The purpose of the study is to consider the relationship between foreign direct investment in Kazakhstan and Uzbekistan and economic growth and renewable energy consumption. The study is based on data obtained from 1992 to 2018. The results show that there is a two-way link between foreign direct investment and renewable energy consumption in the considered two countries. The Granger causality test approach is applied to explore the causal relationship between the variables. The Johansen co-integration test approach is also employed to test for a relationship. The empirical results verify the existence of co-integration between the series. The main factors influencing renewable energy are economic growth and electricity consumption. To reduce dependence on fuel-based energy sources, Kazakhstan and Uzbekistan need to attract energy to renewable energy sources and implement energy efficiency based on rapid progress. This is because renewable energy sources play the role of an engine that stimulates the production process in the economy for all countries.

scholarly journals Does Foreign Direct Investment Influence Renewable Energy Consumption? Empirical Evidence from South Asian Countries

Energies ◽  
2021 ◽  
Vol 14 (12) ◽  
pp. 3470
Author(s):  
Xueqing Kang ◽  
Farman Ullah Khan ◽  
Raza Ullah ◽  
Muhammad Arif ◽  
Shams Ur Rehman ◽  
...  
Keyword(s):  
Foreign Direct Investment ◽  
Renewable Energy ◽  
Sri Lanka ◽  
South Asian ◽  
Environmental Sustainability ◽  
Direct Investment ◽  
Least Square ◽  
Asian Countries ◽  
Ordinary Least Square ◽  
The Relationship

In selected South Asian countries, the study intends to investigate the relationship between urban population (UP), carbon dioxide (CO2), trade openness (TO), gross domestic product (GDP), foreign direct investment (FDI), and renewable energy (RE). Fully modified ordinary least square (FMOLS) and dynamic ordinary least square (DOLS) models for estimation were used in the study, which covered yearly data from 1990 to 2019. We used Levin–Lin–Chu, Im–Pesaran–Shin, and Fisher PP tests for the stationarity of the variables. The outcomes of the panel cointegration approach looked at whether there was a long-run equilibrium nexus between selected variables in Pakistan, Bangladesh, India, and Sri Lanka. The FMOLS approach was also used to assess the relationship, and the results suggest that there is a significant and negative nexus between FDI and renewable energy in south Asian nations. The study’s findings reveal a strong and favorable relationship between GDP and renewable energy use. In South Asian nations (Sri Lanka, Pakistan, India, and Bangladesh), the FMOLS and DOLS findings are nearly identical, but the authors used the DOLS model for robustification. According to the findings, policymakers in South Asian economies (Sri Lanka, Pakistan, India, and Bangladesh) should view GDP and FDI as fundamental policy instruments for environmental sustainability. To reduce reliance on hazardous energy sources, the government should also reassure financial sectors to participate in renewable energy.

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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