scholarly journals Sectoral analysis of foreign direct investment and growth in Nigeria

2021 ◽  
Vol 2 (1) ◽  
Author(s):  
David Orogwu ◽  
Segun Fakoyode ◽  
Mohammed Itopa ◽  
Ahmed Abdulbasit
Keyword(s):  
Growth Rate ◽  
Foreign Direct Investment ◽  
Indirect Effect ◽  
Direct Investment ◽  
Time Series Data ◽  
Series Data ◽  
Agriculture Sector ◽  
Sectoral Analysis ◽  
Distributed Lag ◽  
Aggregate Growth

The study conducted a sectoral analysis of the contribution of foreign direct investment on Nigeria economy between 1980-2019. Time series data from Central Bank of Nigeria and World Bank Development Indicators was used to estimate the relationship using Auto Distributed Lag Model (ARDL). It was revealed that foreign direct investment not only exert a direct positive effect on the aggregate growth rate of Nigeria economy but also exert a positive indirect effect through labour. It was also discovered that agriculture sector is the only sector that does not enjoy significant contribution of foreign direct investment in Nigeria while petroleum and Gas experience the greatest growth attributable to foreign direct investment in Nigeria. The study contributed to literature by not only examining the indirect effect of foreign direct investment on Nigeria aggregate growth rate through labour but also the effect of foreign direct investment on the sector-by-sector growth rate.

scholarly journals Financial Development and Economic Growth: Evidence from Nepal

2020 ◽  
Vol 32 (1) ◽  
pp. 15-36
Author(s):  
Ramesh C. Paudel ◽  
Chakra Pani Acharya
Keyword(s):  
Economic Growth ◽  
Foreign Direct Investment ◽  
Financial Development ◽  
Direct Investment ◽  
Banking Sector ◽  
Time Series Data ◽  
Series Data ◽  
Distributed Lag ◽  
Domestic Credit ◽  
Good Policy

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.

scholarly journals Impact of Taxation on Foreign Direct Investment: Empirical Evidence from Pakistan

2021 ◽  
Vol 9 (1) ◽  
pp. 10-18
Author(s):  
Muhammad Nouman Shafiq ◽  
Liu Hua ◽  
Muhammad Azhar Bhatti ◽  
Seemab Gillani
Keyword(s):  
Foreign Direct Investment ◽  
Direct Investment ◽  
Time Series Data ◽  
Developing Economies ◽  
Trade Openness ◽  
Vital Role ◽  
Series Data ◽  
Fdi Inflows ◽  
Distributed Lag ◽  
The Government

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.

Effects of Infrastructure Development on Foreign Direct Investment in Kenya

2016 ◽  
Vol 8 (2) ◽  
pp. 93-110 ◽  
Author(s):  
Carol Teresa Wekesa ◽  
Nelson H. Wawire ◽  
George Kosimbei
Keyword(s):  
Foreign Direct Investment ◽  
Direct Investment ◽  
Time Series Data ◽  
Trade Openness ◽  
Transport Infrastructure ◽  
Series Data ◽  
Infrastructure Development ◽  
Fdi Inflows ◽  
Year 2000 ◽  
Quality Infrastructure

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.

scholarly journals ANALISIS PENGARUH REMITANSI, INVESTASI ASING LANGSUNG, IMPOR DAN PERTUMBUHAN EKONOMI DI INDONESIA

2020 ◽  
Vol 2 (4) ◽  
Author(s):  
Regina Septriani Putri ◽  
Ariusni Ariusni
Keyword(s):  
Economic Growth ◽  
Foreign Direct Investment ◽  
Direct Investment ◽  
Time Series Data ◽  
Positive Impact ◽  
Series Data ◽  
Long Run ◽  
Short Run ◽  
The Government ◽  
Positive Effect

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

scholarly journals Globalization Nexus Terrorism: Evidence from Pakistan

2021 ◽  
Vol 7 (1) ◽  
pp. 177-184
Author(s):  
Sabeeha Naseer ◽  
Muhammad Kamran Khan ◽  
Sami Ullah
Keyword(s):  
Foreign Direct Investment ◽  
Direct Investment ◽  
Time Series Data ◽  
Series Data ◽  
Var Model ◽  
Causality Test ◽  
Time Period ◽  
Controlling Variables ◽  
Adf Test ◽  
Auto Regression

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.

scholarly journals IMPACT OF FOREIGN DIRECT INVESTMENT ON EXPORT SECTOR IN NIGERIA (1981-2018)

2020 ◽  
pp. 19-24
Author(s):  
Edeh, Chukwudi Emmanuel ◽  
Obi, Cyril Ogugua ◽  
Mbaeri, Clara Ndidiamaka ◽  
Ebite Ogochukwu Njideka
Keyword(s):  
Foreign Direct Investment ◽  
Direct Investment ◽  
Time Series Data ◽  
Linear Equations ◽  
Series Data ◽  
Cent Increase ◽  
Oil Export ◽  
Oil Sector ◽  
The Government ◽  
The Impact

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

scholarly journals Nonlinear Effects of Urbanization and Outward Foreign Direct Investment on Carbon Emissions in China

2018 ◽  
Vol 10 (12) ◽  
pp. 4411 ◽  
Author(s):  
Ming Yi ◽  
Mengqi Gong ◽  
Ting Wu ◽  
Yue Wang
Keyword(s):  
Foreign Direct Investment ◽  
Carbon Emissions ◽  
Direct Investment ◽  
Time Series Data ◽  
Series Data ◽  
Outward Foreign Direct Investment ◽  
Low Carbon ◽  
Markov Switching Model ◽  
Causality Test ◽  
High Emission

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).

A Study on the performance of Agricultural Sector in India

2017 ◽  
Vol 51 (03) ◽  
Author(s):  
Laishram Priscilla ◽  
Arsha Balakrishnan ◽  
Lalrinsangpuii Lalrinsangpuii ◽  
A. K. Chauhan
Keyword(s):  
Growth Rate ◽  
Agricultural Sector ◽  
Time Series Data ◽  
Decomposition Analysis ◽  
Series Data ◽  
Meat Production ◽  
Area Effect ◽  
Agriculture Sector ◽  
Per Capita ◽  
Vegetables And Fruits

<span>The time series data at all India level on area, production and productivity of foodgrains, production and per capita availability of milk and eggs and production of meat were compiled and a decade wise analysis of growth rate, instability index and decomposition analysis was done to study the performance of agriculture sector. During the overall period, the area under food grains showed negative growth whereas production and productivity growth was positive. For milk and egg, both production and per capita availability showed positive growth. Meat production showed a positively significant growth rate. Growth rate in area, production and productivity of both vegetables and fruits was positive. In general, for foodgrains, the yield effect was higher than the area effect which could be attributed to increased use of high yielding varieties. For vegetables and fruits, the contribution of area effect was more than that of yield and the interaction effect suggesting that measures should be taken to improve their productivity. </span>

scholarly journals Impact of Foreign Direct Investment on Human Development Index in South Africa

2020 ◽  
Vol 7 (1) ◽  
pp. 58
Author(s):  
Marius KOUNOU
Keyword(s):  
South Africa ◽  
Foreign Direct Investment ◽  
Direct Investment ◽  
Poverty Reduction ◽  
Time Series Data ◽  
Empirical Studies ◽  
Sub Saharan Africa ◽  
Series Data ◽  
Long Run ◽  
The Impact

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.

scholarly journals Determinants of Private Investment in Pakistan

2020 ◽  
Vol 2 (3) ◽  
pp. 86-92
Author(s):  
Muhammad Suleman ◽  
Abdur Rehman ◽  
Haroon Javaid
Keyword(s):  
Growth Rate ◽  
Public Sector ◽  
Time Series Data ◽  
Trade Openness ◽  
Private Investment ◽  
Series Data ◽  
Distributed Lag ◽  
Long Run ◽  
Domestic Savings ◽  
Short Run

Private investment has a significant relation with the economic growth of the country. It plays an important role in reduction of unemployment and poverty by promoting efficiency and competition among the firms. This study is an attempt to investigate the determinants of private investment in Pakistan. For this purpose, time-series data is utilized for the period 1974-2013. The ARDL (Auto Regressive-Distributed Lag) modeling technique of co-integration was employed to estimate the short-run and long-run determinants of private investment in Pakistan. Empirical findings of this study indicated that in the short-run private investment in Pakistan is determined by the growth rate of GDP, public sector investment, and domestic savings. While in the long run it is determined by the official exchange rate, the growth rate of GDP, public sector investment, domestic savings, trade openness, and interest rate. The results also revealed that in the case of Pakistan different political regimes (democratic, non-democratic) have no significance in the determination of private investment. Stability tests of CUSUM and (CUSUMSQ) (Cumulative Sum Control Chart) were performed in this study. These tests indicated a stable, long run as well as short-run structural stability of the model.

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