scholarly journals FOREIGN DIRECT INVESTMENT, HUMAN CAPITAL AND ECONOMIC GROWTH IN AFRICA: A PANEL THRESHOLD REGRESSION APPROACH

2020 ◽  
Vol 8 (2) ◽  
pp. 115-129
Author(s):  
Marvellous Ngundu ◽  
◽  
Nicholas Ngepah ◽  
2018 ◽  
Vol 13 (6) ◽  
pp. 1928-1947
Author(s):  
Svitlana Shevelova ◽  
Svitlana Plaskon

Purpose Despite an increasing volume of literature focussed on foreign direct investment (FDI) in transition economies, there has been little research into FDI in Ukraine. The relationship between the inflows of FDI (IFDI) and absorptive capacity (AC) has been under-researched in the peripheral transition countries like Ukraine. The purpose of this paper is to analyse the appropriateness of the Ukrainian economy’s AC to attract IFDI and facilitate economic growth with a particular focus on AC factors, such as the potential of human resources to absorb innovation and benefit from research and development (R&D) expenditure. Design/methodology/approach This study presents a thoughtful research design: there is an analysis of the AC framework for justification and selection factors that allows a measurement of the potential of Ukraine’s AC to attract and exploit IFDI. The study uses data from 25 regions in Ukraine for the 1996–2015 period. To estimate the effects of IFDI on Ukrainian economic growth, a Cobb–Douglas production function is used. As an appropriate instrumentation technique for dynamic panel data, the Generalised Method of Moments is used to provide unbiased and efficient estimates of the results. The application of the interactive term in this study allows the authors to indicate the existence of complementarities between IFDI and human capital, in particular with higher education, that afford opportunity to absorb new technologies and benefit from IFDI. Findings The resulting model indicates that R&D expenditure benefited very significantly in evolving country’s innovation system due to economic growth. Physical and human capital has not been used effectively in Ukraine to facilitate economic growth and attract IFDI. The number of patents is not significant in all of the regression models. Moreover, IFDI in Ukraine for the 1996–2015 period did not significantly impact on economic growth. However, the AC of human capital, in particular those with a higher education, is relatively relevant to benefit from IFDI. Practical implications The findings have important implications for governmental policy, which should be based on improving the business climate, a strategy for digital development, innovation, migration, institutional and regional policies aimed at the achievement of country’s sustainable economic growth. The government should increase R&D expenditure as an important factor of gross domestic product growth and introduce grants, loans and other financial supports for encouraging students to continue university education. Originality/value The originality and value of this paper is empirical and methodological. The empirical results of this study enable a conclusion about the appropriate level of the country’s absorptive capability required to benefit from IFDI. The paper also contributes to the existing academic debate and proves that despite the well-established theoretical framework for the IFDI–AC economic impact context, a new theorisation is needed to explore the full complexity of the country’s explicit relationship between AC and IFDI. Future research should be focussed on examining not only groups of countries but also distinctly the country’s explicit relationship between AC and IFDI with the particular attention for the under-researched countries: the peripheral transition economies to discover new research niches for theory building. This study presents an original methodological approach with a careful justification of the theoretical framework for hypothesis development, an appropriate sample and an original application of seminal research methods based on the Cobb–Douglas production function. This study proves that the interactive term, which allows indication of the existence of complementarities between IFDI and other variables, is appropriate for measuring AC in countries with smaller amounts of IFDI.


2017 ◽  
Vol 9 (3(J)) ◽  
pp. 101-112
Author(s):  
Kunofiwa Tsaurai

Recent studies which investigated the determinants of foreign direct investment (FDI) in BRICS include Hsin-Hong and Shou-Ronne (2012), Nandi (2012), Jadhav (2012), Darzini and Amirmojahedi (2013), Nischith (2013), Ho et al. (2013), Kaur et al. (2013) and Priya and Archana (2014). The findings from these studies shows lack of consensus and confirm that a list of agreeable determinants of FDI in BRICS countries is still an unsettled matter. This paper was therefore initiated in order to contribute to the debate on the discourse on FDI determinants in BRICS countries.This paper deviates from earlier similar studies in five ways: (1) uses most recent data, (2) is the first to investigate whether a combination of financial development, trade openness, human capital, economic growth and inflation influence FDI in BRICS countries, (3) uses different proxies of the variables that affect FDI, (4) employed both fixed effects and pooled ordinary least squares (OLS) approaches and (5) used a stacked data approach.The results of the study showed that economic growth, trade openness and exchange rate stability positively impacted on FDI, financial development positively influenced FDI under fixed effects, FDI was positively influenced by human capital development using the pooled OLS and inflation negatively affected FDI in line with literature. Taking into account these findings, this study urges BRICS to implement policies that increase financial sector efficiency and economic growth, maintain stable exchange rates, keep inflation rates at lower levels, enhance trade openness and human capital development in order to increase FDI inflows.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Kesuh Jude Thaddeus ◽  
Chi Aloysius Ngong ◽  
Njimukala Moses Nebong ◽  
Akume Daniel Akume ◽  
Jumbo Urie Eleazar ◽  
...  

PurposeThe purpose of this paper is to examine key macroeconomic determinants on Cameroon's economic growth from 1970 to 2018.Design/methodology/approachData were obtained from the World Development Indicators and applied on time series data econometric techniques. The auto-regressive distributed lag (ARDL) bounds model analyzed the data since the variables had different order of integration.FindingsThe results showed long and short runs’ positive and significant connection between economic growth in Cameroon and government expenditure; trade openness, gross capital formation and exchange rate. Human capital development, foreign aid, money supply, inflation and foreign direct investment negatively and significantly affected economic growth in the short and long-runs. Hence, the macroeconomic indicators are not death.Research limitations/implicationsThe present research paper has tried to capture the impact of nine macroeconomic determinants on economic growth such as the government expenditure (LNGOVEXP), human capital development (LNHCD), foreign aids (AID), trade openness (LNTOP), foreign direct investment (LNFDI), gross capital formation (INVEST), broad money (LNM2), official exchange rate (LNEXHRATE) and Inflation (LNINFLA). However, these variables have the tendency to affect each other in a unidirectional or bidirectional manner. Further, the present research paper is unable to capture the impact of other macroeconomic variable due to the unavailability of data.Practical implicationsThe study recommends that Cameroon should use proper planning and strategic policy interventions to achieve higher sustainable economic growth with human capital development, foreign aid, money supply, foreign direct investment and moderate inflation.Social implicationsMacroeconomic indicators, if managed well, increase economic growth.Originality/valueThis paper to the best of the researcher's knowledge presents new background information to both policymakers and researchers on the main macroeconomic determinants using econometric analysis.


2016 ◽  
Vol 14 (2) ◽  
pp. 289-297 ◽  
Author(s):  
Olawumi D. Awolusi ◽  
Olufemi P. Adeyeye

Several studies have been conducted to examine the influence of foreign direct investment (FDI) inflow on economic growth. Indeed, the overall evidence is best characterized as mixed. This paper investigates the effect of FDI on economic growth in some randomly selected African economies from 1980 to 2013, using a modified growth model by Agrawal and Khan (2011). This model consists of Gross Domestic Product, Human Capital, International Technology Transfer, Labor Force, FDI and Gross Capital Formation (GCF). Ordinary least squares and generalized method of moments were used as the estimation techniques. Of all the results, only Gross Capital Formation, Human Capital, and International Technology Transfer in the Central African Republic were found not to have any statistically significant influence on economic growth. In general, the impact of FDI on economic growth in African countries is limited or negligible. Consequently, this study observes that a 1% increase in FDI would result in a 0.12% increase in GDP for South Africa, a 0.05% increase in Egypt, a 0.03% increase in Nigeria, a 0.02% increase in Kenya, and a 1% increase in GDP in the Central African Republic. The findings also reveal that South Africa’s growth is more affected by FDI than the other four countries. The study also provides possible reasons behind South Africa’s great show of FDI and the lessons other African countries could learn from South Africa better utilization of FDI. This study integrates the related drivers of the effectiveness and success of FDI


2020 ◽  
Vol 10 (2) ◽  
pp. 182
Author(s):  
Mustafa Mohammad Alalawneh

Human capital is a real factor in improving the investment climate and attracting foreign investment. FDI also increases human capital in the host country through the transfer of advanced technology and the rehabilitation of local labor. The importance of the study comes from Jordan's serious endeavor to attract foreign direct investment and to present itself as a rich country in human and qualified capacities. This study examines the effect of human capital and foreign direct investment on economic growth in Jordan employing Auto Regressive Distributed Lags Bounds Testing (ARDL BT) co-integration method for the spanning period from 1984 to 2018. The results indicate that there is a long- run relationship among variables. The results showed that there is a negative and statistically significant effect of human capital index (HCI) on economic growth (GWP) in the long run, and a positive and statistically significant effect of FDI (GFDI) on economic growth (GWP) in the long run. The estimation results indicate that a 1% increase in (HCI) decreases (GWP) by 0.272%, and a 1% increase in (GFDI) increases (GWP) by 0.006%. This study is one of the few studies that highlight the challenges facing both HC and FDI in increasing economic growth in Jordan and provides some recommendations.


Author(s):  
Ifqi Khairunnisa ◽  
Sri Hartojo ◽  
Yeti Lis Purnamadewi

National development goals are not merely to create growth in Gross Domestic Product (GDP) and high per capita income. But more than that, it expected to alleviate poverty levels and income inequality in every class of society. Foreign Direct Investment (FDI) one of the most important investment to accelerate economic growth. The advantages of FDI inflow for host country are: capital accumulation; job creation; transfer of technology and management; and access to international market networks. This study aims to determine the relationship between FDI, economic growth, human capital, and community welfare. The quantitative analysis method in this study uses a simultaneous equation system model with six structural equations: domestic investment, economic growth, public consumption, education, health, unemployment and poverty. In addition, there are 3 identity equations: investment equation, the labour force, and economic growth. All data is a combination of cross-sectional and time-series data. The cross-section data used are 33 provinces in Indonesia and the time series data for the period 2010 to 2019.


2017 ◽  
Vol 9 (3) ◽  
pp. 101
Author(s):  
Kunofiwa Tsaurai

Recent studies which investigated the determinants of foreign direct investment (FDI) in BRICS include Hsin-Hong and Shou-Ronne (2012), Nandi (2012), Jadhav (2012), Darzini and Amirmojahedi (2013), Nischith (2013), Ho et al. (2013), Kaur et al. (2013) and Priya and Archana (2014). The findings from these studies shows lack of consensus and confirm that a list of agreeable determinants of FDI in BRICS countries is still an unsettled matter. This paper was therefore initiated in order to contribute to the debate on the discourse on FDI determinants in BRICS countries.This paper deviates from earlier similar studies in five ways: (1) uses most recent data, (2) is the first to investigate whether a combination of financial development, trade openness, human capital, economic growth and inflation influence FDI in BRICS countries, (3) uses different proxies of the variables that affect FDI, (4) employed both fixed effects and pooled ordinary least squares (OLS) approaches and (5) used a stacked data approach.The results of the study showed that economic growth, trade openness and exchange rate stability positively impacted on FDI, financial development positively influenced FDI under fixed effects, FDI was positively influenced by human capital development using the pooled OLS and inflation negatively affected FDI in line with literature. Taking into account these findings, this study urges BRICS to implement policies that increase financial sector efficiency and economic growth, maintain stable exchange rates, keep inflation rates at lower levels, enhance trade openness and human capital development in order to increase FDI inflows.


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