scholarly journals Impact of Good Governance Indicators on the Inflow of Foreign Direct Investment (FDI) In Pakistan

2020 ◽  
pp. 69-83
Author(s):  
Erum Khushnood ◽  
Zahid H. Channa ◽  
Mehwish Bhutto ◽  
Mukhtiar Ali Erri

Foreign Direct Investment (FDI) occupies extensive importance in the socio-economic development of any economy. High inflow of Foreign Direct Investment (FDI) helps in the reduction of poverty, unemployment, and in achieving high economic growth in developing countries, like Pakistan. In home country, a good governance environment significantly affects the inflow of FDI. In this connection, the purpose of this study is to analyze the scenario of good governance in Pakistan and its impact on attracting FDI. For this study, time series data was used covering the period from 1996 to 2017. ABDL approach was used for estimation, the findings prove that there is a significant impact of Political Instability, Regulatory Quality, and Effectiveness of Government, whereas, Rule of Law (RL) as well as Corruption (CC) and exert an insignificant effect on the inflow of FDI in Pakistan during the mentioned time period. The study suggested that the Pakistani government needs to develop a good governance environment through better law and order situations, a transparent legal system, and effective policies with proper implementation; to ensure high FDI inflows in the country.

2021 ◽  
Vol 7 (1) ◽  
pp. 177-184
Author(s):  
Sabeeha Naseer ◽  
Muhammad Kamran Khan ◽  
Sami Ullah

The current study investigates nexuses between globalization and terrorism in context of Pakistan. Time series data utilized for time period 1981 to 2017. The data has been taken from the World Governance Indicator (WGI) and Swiss global index (KOF). Augmented Dicky fuller (ADF) test was applied to check out stationary of all variables such as terrorism, globalization, remittances, foreign direct investment and trade. The results of ADF test indicated that all variables were stationary at first difference. For empirical analysis Johnson co-integration and VAR model under causality were applied. The co-integration result shows all variables terrorism, globalization, FDI, remittances and trade are not co-integrated. Vector Auto Regression (VAR) Model under causality test shows that Globalization is causing factor of terrorism. While, other controlling variables such as remittances cause globalization, foreign direct investment and trade.


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.


2020 ◽  
Vol 2 (4) ◽  
Author(s):  
Regina Septriani Putri ◽  
Ariusni Ariusni

Abstract : This study examined and analysis the effect of remittances, foreigndirect investment, imports, and economic growth in Indonesia in the long run andshort run. This study using Error Correction Model (ECM) method and using theannual time series data from 1989 to 2018. This study found that: (1) remittancehave an insignificant positive effect on economic growth in the long run and shortrun,(2)foreign direct investment have a significant positive impact on economicgrowth in the long run and short run, (3) import have an insignificant positiveimpact on economic growth both in the long run and short run. To increase theeconomic growth in the future, this study suggests the government to decresingimports of consume goods and increasing the inflow of capital goods, rawmaterial goods, remittances and foreign direct investment.Keyword : Remittance, Foreign Direct Investment, Import, Economic Growth andECM


Author(s):  
Edeh, Chukwudi Emmanuel ◽  
Obi, Cyril Ogugua ◽  
Mbaeri, Clara Ndidiamaka ◽  
Ebite Ogochukwu Njideka

The objective of the study is to examine the impact of FDI on exports in Nigeria for the period 1981-2018. Specifically, two linear equations were formulated to trace the impact of FDI on oil sector and non-oil sector. The explanatory variables in the study were exchange rate, GDP, degree of openness, FDI, and inflation. The ADF technique was used to test for the stationarity of the time series data. The results of the Error Correction models reveal that there is a positive and significant (P(FDI) = 0.000) relationship between FDI and oil export in Nigeria. One per cent increase in FDI leads to 0.47 per cent increase in oil export over the period under study. There is a positive and significant (P(FDI) = 0.005) relationship between FDI and non-oil export in Nigeria. One per cent increase in FDI leads to 0.31 per cent increase in non-oil export over the period under study. The impact of FDI on the oil export is higher than the non-oil sector by 0.16 per cent. The study recommends for more aggressive policies to attract FDI in the oil sector to be pursued by the government. Obstacles to doing business in Nigeria should be removed. KEYWORDS: Foreign direct investment, oil export, non-oil export


2018 ◽  
Vol 10 (12) ◽  
pp. 4411 ◽  
Author(s):  
Ming Yi ◽  
Mengqi Gong ◽  
Ting Wu ◽  
Yue Wang

It is essential to explore the relationship between China’s urbanization, outward foreign direct investment, and carbon emissions, in order to better understand China’s carbon emissions reduction target. To this end, the nonlinear Granger causality test and Markov-switching model are applied to analyze the structural effects of urbanization and outward foreign direct investment on domestic emissions, on the basis of time series data from 1984–2016. The results show that the promotion effect of outward foreign direct investment on carbon emissions is increased from low-carbon regime to high-emission regime. Specifically, 1% increase in OFDI leads to a rise in carbon emissions by 0.064% and 0.112% under the former and latter regime respectively. Unlike the effect trend of outward foreign direct investment, the effect of urbanization on carbon emissions is decreased from a high-emission regime (5.221% rise in carbon emissions with 1% increase in the level of urbanization) to a low-carbon regime (3.133% rise in carbon emissions with 1% increase in the level of urbanization).


2020 ◽  
Vol 7 (1) ◽  
pp. 58
Author(s):  
Marius KOUNOU

Many studies have been done on the impact of Foreign Direct Investment on economic growth and poverty reduction in developing countries, however there is a lack of empirical studies of FDI impact on poverty reduction in South Africa which is the second largest FDI recipients of one of the poorest regions in the world (sub Saharan Africa). We used time series data from 1990 to 2017 with the ARDL method to evaluate the impact of FDI Inflow on HDI in the country. The results show that FDI inflow has no significant impact on HDI both in the short run and long run on the country. This result is consistent with findings reported in the literature.


2017 ◽  
Vol 13 (1) ◽  
pp. 65-74
Author(s):  
Saif Alhakimi

This research paper aims to empirically analyze the impact of FDI on the long-term economic growth of Egypt. An empirical model was developed to explain the aggregate output, including total labor force, capital stock, foreign direct investment, government expenditure, and the real exchange rate. Annual time-series data from 1990–2013 were then used to estimate the model. Prior to calculating this estimation, the properties of the time series were diagnosed, and an error-correction model was developed and assessed. The overall results suggest that foreign direct investment makes a positive, yet weak and insignificant, contribution to the long-term economic growth of Egypt. This finding warrants further investigation to explore the possible reasons behind it, such as the degree of spillover that FDI has on economic growth and its impact on employment in areas like job creation, wage structure, research, and development.


Author(s):  
Akidi, Victor ◽  
Tubotamuno, Boma ◽  
Obayori, Joseph Bidemi

This paper empirically examined the effects of selected external sector aggregates on economic growth in Nigeria from 1981 to 2016. Time series data on Real Gross Domestic Product as proxy for economic growth, and on Imports, Exports, Exchange Rate and Foreign Direct Investment were collected from secondary sources. The data sets were analyzed using descriptive statistics, unit root test, co-integration test and error correction technique of model estimation. The result of the analysis revealed that Imports, Exchange Rate and Foreign Direct Investment negatively related with economic growth while Exports positively related with economic growth in Nigeria within the reviewed period. Also, except Exchange Rate all the other explanatory variables – Imports, Exports and Foreign Direct Investment did not impact significantly on economic growth in Nigeria within the period of study. Based on these findings, the study recommends that government should encourage export diversification, especially the non-oil sector exports. This can be achieved through value addition in both the agriculture and manufacturing sub-sectors output.


2020 ◽  
Vol 32 (1) ◽  
pp. 15-36
Author(s):  
Ramesh C. Paudel ◽  
Chakra Pani Acharya

This paper aims to examine the role of financial development and economic growth in Nepal employing Autoregressive distributed lag (ARDL) approach of cointegration using time series data for the period from 1965 to 2018. Nepal is a unique country with big markets in the neighbors-India and China but remains as one of the poor landlocked developing countries, even being the earlier entrant in liberalization and reform. Nepal recently went through a substantial political transition and now the stable government is seeking substantial amount of foreign direct investment. In this background, it will be better, for a good policy analysis, to know how the financial activities have played the role in highly intended economic growth. We develop a model with five proxies of financial development (broad money, domestic credit to private sector, total credit from banking sector, capital formation, and foreign direct investment); and econometrically test their contribution in economic growth. Overall, the results suggest that financial development causes to economic growth substantially, except in the case of foreign direct investment. This result warns the policy makers to be more serious making investment friendly economy to attract the expected foreign direct investment.


Author(s):  
S. Maheswaranathan

Purpose: This paper investigates the long run relationship between electricity consumption, foreign direct investment and economic growth in Sri Lanka. Design/Methodology/Approach: The annual time series data over the period 1970–2017 is considered to this study. Augmented Dickey–Fuller (ADF) unit root analysis is employed for examining the stationary properties of the variables. Consequently, Autoregressive Distributed Lag (ARDL) analysis is employed to examining the short- run and long-run relationship between electricity consumption, foreign direct investment and economic growth in Sri Lanka. Further, this study used the diagnostic tests such as the residual normality test, heteroskedasticity and serial autocorrelation tests for misspecification to validate the parameter estimation outcomes achieved by the estimated model. CUSUM test is applied to test the stability of the model. Collected data were analyzed using STATA version 15. Findings: The findings of the bound test confirm that the variables are cointegrated. Further the results reveal that there is a statistically positive significant relationship between electricity consumption, foreign direct investment and economic growth in Sri Lanka in the long run and short term. The empirical finding reveals that one percent increase in electricity consumption and foreign direct investment increases the GDP by 1.5 percent and 12.9 percent in the long run respectively.


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