scholarly journals Analyzing the relationship between foreign direct investment and privatization in the European Union Founder Nations by using panel data approach

2018 ◽  
Vol 65 (5) ◽  
pp. 587-607
Author(s):  
Selim Tüzüntürk ◽  
Betül İnam ◽  
Filiz Giray

Foreign direct investment (FDI) and privatization are two of the most important components in liberalization World. The aim of this study is to analyze whether there exist a statistically significant relationship between FDI and privatization, or not. To do so, a panel data sample of fourteen European Union (EU) Founder Nations in 1998-2012 was used to estimate various panel data models. The special feature of panel data is that it allows researchers to construct and test more realistic behavioral models that could not be identified using crosssection or time series data alone. Based on the sample results, between privatization as the primary independent variable and FDI was found a statistically significant positive relationship. Although other explanatory variables such as growth, trade openness, and corruption perceptions index, were found to have statistically significant effects on FDI, budget deficit was found to be statistically insignificant. Moreover, statistically significant parameters? signs showed that all of the economic expectations were satisfied.

2016 ◽  
Vol 8 (2) ◽  
pp. 93-110 ◽  
Author(s):  
Carol Teresa Wekesa ◽  
Nelson H. Wawire ◽  
George Kosimbei

Kenya’s foreign direct investment (FDI) inflows as a percentage of GDP have been increasing negligibly over the last 4 years, increasing from 0.4 per cent in 2010 to 0.9 per cent in 2013. And yet evidence shows that quality infrastructure lowers the cost of doing business and thus attracts FDI. Kenya has visible signs of infrastructure inadequacy and inefficiencies despite the fact that since the year 2000, there has been increased budgetary allocation to the infrastructure sector. This study, therefore, sought to determine the effects of transport, energy, communication and water and waste infrastructure development on FDI inflows in Kenya. The study used annual time series data sourced from Central Bank of Kenya, World Bank and the United Nations Conference on Trade and Development (UNCTAD). Using multiple regression analysis, it was established that improved transport infrastructure, communication infrastructure, water and waste infrastructure, exchange rate, economic growth and trade openness are important determinants of FDI inflows into Kenya. Hence, for Kenya to attract more FDI, continued infrastructural development is key since quality infrastructure affords investors a conducive investment climate in which to operate.


2016 ◽  
Vol 6 (2) ◽  
Author(s):  
Brajaballav Pal

This paper examines the relationship among GDP, foreign direct investment and trade openness for India using time series data from 2001 to 2016. In this study unit root test is used to solve the problem of stationery and to determine the order of integration between the variables. Johnson co-integration test suggests that there is a long run equilibrium relationship among the variables by considering relationship between Gross Domestic Product (GDP), Foreign Direct Investment (FDI) and Trade Openness (TO). The result indicates that trade openness exerts influence on foreign direct investment. The government and policy makers should take up strategies to attract foreign investment so as to promote economic growth.


2021 ◽  
Vol 3 (2) ◽  
pp. 499-510
Author(s):  
Cynthia Sari Dewi ◽  
Farend Olivia Hutomo

The objective of this research is to investigate the influence of macroeconomic factors such as market size, labor cost, interest rate, exchange rate, trade openness, and inflation to the foreign direct investment in Indonesia. This research uses a quantitative approach with time series data, quarterly from 2006 to 2019. The data is processed using SPSS Statistics 23 software, specifically linear regression analysis method and passed the classical assumption test. Results show that there is a partially significant relationship between market size, labor cost, interest rate, exchange rate, and trade openness to the foreign direct investment, meanwhile inflation does not significantly affect the foreign direct investment. These findings hopefully can help the government to make wiser policies to increase the foreign direct investment.


2015 ◽  
Vol 1 (1) ◽  
Author(s):  
YASIR KHAN ◽  
ALAM REHMAN ◽  
FARMAN ULLAH KHAN

The chief objective of this research is to investigate empirically the determinants which affect Foreign Direct Investment (FDI) inflow in Democratic and non-Democratic eras of Pakistan by using yearly data from 1980 -2014. In this research, six independent variables have been taken along with Dummy which are Gross Domestic Product, Interest Rate, Trade Openness, Inflation Rate, Exchange rate, Dummy variable and one dependant variable which is Foreign Direct Investment. For econometric analysis, annual time series data were collected from the Pakistan Bureau of Statistics, UNCTAD, World Development Indicator (various issues), International Financial Statistics, Global Economy and Economic Survey of Pakistan. This thesis applied advanced econometric methodology which comprises unit root testing and Johansen co-integration analysis. The Vector Error Correction Model (VECM) was employed to identify both the long-run and short run relationship between FDI and its determinants. The dummy variable captured the difference as there is a significant difference between the determinants of Foreign direct investment in Democratic and Non-Democratic eras of Pakistan.


Author(s):  
Adisu Abebaw Degu ◽  
Dagim Tadesse Bekele

Total factor productivity (TFP) as a source of economic growth, has been recognized in economic theory for a long period of time. In this research we tried to examine the effect of some macroeconomic factors, which include trade openness, inflation, government expenditure, credit extended and foreign direct investment, and natural disaster drought on total factor productivity and its trend in Ethiopia by using Time series data spanning from 1991 to 2018.  The TFP was computed by using the growth accounting method from Cobb–Douglas production function.  ARDL was used for estimation of the short and long run econometric model.  Accordingly, the trend analysis shows the growth in TFP has been fluctuating over the study period. The result from ARDL indicated that; in long run foreign direct investment, government expenditure and drought negatively and significantly affect TFP. Credit extended is found to affect TFP positively and significantly, while inflation and trade openness are insignificant. Therefore, policies such as; subsidizing domestic firms, effective government spending and making the agriculture sector drought resistant need to be stimulated.


2015 ◽  
Vol 7 (4) ◽  
pp. 90-97
Author(s):  
Sani Ali Ibrahim

The economic development performance can be used to measure the economic growth of a given country. In economic analysis, a country can attain economic growth through the growth in national income measurement. However, there were rigorous discussions on the role of foreign direct investment (FDI) on economic growth and continued to be a topic of discussion on the contemporary economy. This paper serves as an extension to the previous empirical studies on the issue by providing some evidence from time series data for the period 1971 to 2013 of Nigeria. The primary aim of this study is to analyze the impact of FDI on economic growth of Nigeria taking trade openness, Gross Fixed Capital Formation and human capital as control variables. To investigate the long run equilibrium relationship, Johansen and Juselius co-integration approach is analyzed, while the speed of adjustment in the short run is analyzed through the use of VECM method. In Nigeria, FDI, GFCF and HK have long run relationship with economic growth. However, the coefficient of ECM in Nigeria is statistically significant at 1% level of significance. Thus, 10.8% of the adjustment is achieved due to the correction of the adjustment speed in a year.


TRIKONOMIKA ◽  
2021 ◽  
Vol 20 (2) ◽  
pp. 62-70
Author(s):  
Shania Puteri Azaria ◽  
Estro Dariatno Sihaloho

This research aims to investigate the relationship between foreign direct investment (FDI) and poverty using panel data of five ASEAN upper and lower middle-income countries for 28 years. The time series data period selected in this study is from 1990 until 2018. The five countries selected to be investigated in this research are presumed as the Tiger Cub Economies, namely Indonesia, Malaysia, Thailand, Vietnam, and the Philippines. This study conducted the Feasible Generalized least Square (FGLS) methods to analyze the statistical panel data. The result from this analysis indicates that foreign direct investment has a negative and significant impact on poverty in five ASEAN countries. Other important results from this study showed that the Gross Domestic Product (GDP), credit provided by the financial sector as the proxy of financial development, and education variables contribute significantly to lower poverty incidence. Policies that focus on attracting foreign direct investment, improving financial development, and support a higher level of education have the potential to reduce poverty in the selected five ASEAN countries.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Reenu Kumari ◽  
Malik Shahzad Shabbir ◽  
Sharjeel Saleem ◽  
Ghulam Yahya Khan ◽  
Bilal Ahmed Abbasi ◽  
...  

PurposeThis study examines the long-term and causal relationship among foreign direct investment (FDI) inflows, trade openness and economic growth from India.Design/methodology/approachThis study has used annual time series data from the period 1985–2018 and applied the Johansen cointegration and vector autoregression (VAR) model.FindingsThe results of Johansen's cointegration confirm no long-term relationship among all the above three variables. Further, the results of VAR Granger causality indicate that FDI causes economic growth and economic growth causes FDI, which confirms the bi-directional causality. In contrast, this study found that there is no bi-directional causality between trade openness and economic growth.Social implicationsThrough this study, the government could take the decisions related to foreign investment after adopting more trade openness because the study results revealed that if India follows more trade openness, then how FDI will flow (upward and downward). With impulse analysis, researchers, government and policymakers take the decision-related FDI inflows for the forthcoming ten years after 2018.Originality/valueThis study has found the most exciting results from the impulse functions of FDI inflows, trade openness and economic growth, which showed the situation of these three variables as increase and decrease in the forthcoming ten years.


Author(s):  
Sadia Bibi ◽  
Syed Tauqeer Ahmad ◽  
Hina Rashid

This study focuses on empirical analysis to find out the role of trade openness, inflation, imports, exports, real exchange rate and foreign direct investment in enhancing economic growth in Pakistan. The analysis based on time series data for the period 1980 to 2011. This paper uses ADF; PP and DF-GLS tests to find out stationarity of the variables and Co-integration and DOLS (Dynamic Ordinary Least Square) techniques have been used for the estimation. Co integration results indicated the long run relationship among the variables. However, negative impact of trade openness can be overcome by producing import substitutes and creating conditions for trade surplus. Furthermore, foreign direct investment and trade are considered vital elements that improve the influence of economic growth.  


2021 ◽  
Vol 9 (1) ◽  
pp. 10-18
Author(s):  
Muhammad Nouman Shafiq ◽  
Liu Hua ◽  
Muhammad Azhar Bhatti ◽  
Seemab Gillani

Foreign direct investment plays a vital role in promoting economic growth, especially for developing economies. It causes improvement in the different sectors such as education, healthcare, manufacturing industries, and creates more jobs. The speed of FDI inflows has been increasing in Pakistan each year. In order to attract more FDI, many countries try to reframe their tax policies by introducing different tax incentives such as tax holidays, investment allowances, exemptions, deductions etc. The purpose of the present paper is to find the implication of taxation in the decision of FDI inflows in Pakistan. Time series data is used spanning over 1985 to 2020. The data was obtained from two sources: the “World Development Indicator” (WDI) and “Economic Survey of Pakistan”. “Auto-Regressive Distributed Lag” (ARDL) and “Error Correction Model” (ECM) techniques are used for empirical analysis. The study concludes that low taxes motivate foreign investors' investment contribution and the long-run relationship between taxes and FDI in Pakistan. Other control variables, including GDP growth, trade openness and exchange rate, positively impact FDI. It is suggested that decision-makers should direct policies to reduce the taxes to welcome FDI in Pakistan. In this regard, the government needs to reconsider its priorities while making policies favouring FDI.


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