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The aim is to examine the long run and short run linear and non-linear impact of foreign direct investment (FDI) inflows on poverty in Nigeria from 1980 to 2019.

The Augmented Dickey Fuller, Phillips Perron and Kwiatkowski-Phillips-Schmidt-Shin unit root tests and bounds test were used to tests the series stationarity and co-integration, respectively. Autoregressive Distributive Lag (ARDL) and non-linear and linear autoregressive Distributive Lag (NARDL) estimators are employed to examine the long run and short run impact of the coefficients of the variables and diagnostic check.

The study finds that the variables are integrated at a level I(0) and the first difference I(I) and co-integrated. The ARDL estimator indicates that FDI significantly reduces poverty in the long and short run. The findings under NARDL shows FDI positive shock and FDI negative shock reduces poverty substantially in the long-short run, respectively. The error correction term is negative and significant.

This study is limited to a single country (time series) and less informative compared with the panel data study with much informative and free from hetero-scedasticity. Future studies should consider panel data using a similar or dissimilar approach.

FDI inflows stimulate growth, thereby creating job openings, transfer of modern technology and reduce poverty and demonstrate that, if the finding integrated into policy actions, the government would attract FDI inflows for the real sector of the economy.

FDI inflows lead to environmental degradation if inferior technology is use in the host economy, especially the weak environmental regulations in Nigeria.

The authors find no study that applied both ARDL and NARDL estimator, selection of variables measurement and time frame for the study in the context of Nigeria.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-08-2020-0530.

The purpose of this paper is to examine the impact of external debt and corruption on economic growth in the selected five Sub-Saharan African (SSA) countries, from 1990 to 2015.

Panel unit root and panel cointegration tests are employed to test for stationarity of the series and the long-run relationship, respectively. Fully modified OLS and dynamic OLS techniques are also employed to examine the long-run coefficients of the variables of the model, as well as panel Granger causality test, in order to examine the direction of causality among the variables.

The results indicate that there is a negative relationship between external debt and economic growth, as well as a bi-directional causality between the two variables. The findings also indicate a positive relationship between corruption and economic growth, as well as a uni-directional causality running from economic growth through corruption.

The study recommends that the governments of the selected countries should address the menace of rising external debt through the adoption of other sources of capital for investment. Such include more openness of the economy for more capital, by easing restrictions on genuine imports and exports of valuable goods and services. It also suggests that the issue of corruption be tackled head-on, by such penalties that tend to make corruption less attractive.

While the relationship between economic growth and external debt, on the one hand, and corruption and economic growth, on the other hand, have received considerable attentions, the trio of external debt, corruption and economic growth have not been found combined in a model, to the best of the authors’ knowledge. Also, the countries under consideration, who jointly account for about 47 percent of the entire SSA countries’ stock of external debt, have not been jointly found in any recent panel studies involving the selected variables.

This paper measures the impacts of foreign direct investment (FDI), globalisation and political governance on economic growth in West Africa. The empirical analysis also includes the interaction effect of political governance and FDI on the growth of the sub-region, over the period of 1996–2016.

The study employs the autoregressive distributed lag technique on data obtained from the World Bank and the KOF institute.

The study findings suggest a positive relationship between globalisation and political governance on economic growth. Even though there have been inconclusive results on the FDI–growth nexus, the authors found that FDI stimulates the growth of the sub-region, while political governance enhances the positive impact of FDI on economic growth. The other factors of growth included are labour, capital and government size, whose effects on growth are, respectively, negative, negative and positive.

The governments of the West African countries promote policies that attract FDI into the sub-region, so that economic performances may be enhanced. In addition, the governments of the West African sub-region should work to reap the benefits of globalisation, by promoting the competitiveness of their local economies in order to keep pace with the global markets. Finally, the political-governance infrastructures should be overhauled; the culture of accountability and transparency should be promoted, while all efforts should be made to improve stability in the political environment in order to increase investors' confidence in the West African economy.

This study is the first to single out the impacts of political governance, as categorised by the World Bank, through both direct and interactive measures. This is necessary in view of the assertion that political governance largely accounts for improved economic performance in an economy. The use of the Pesaran (2007) technique of unit root is also a deviation from existing studies. This is in view of the fact that it tests variable unit root in the presence of cross-sectional dependence; thus, controlling for contemporaneous correlation which was not considered in the first-generation tests.

This paper aims to empirically explore the asymmetric relationship between corruption control and foreign direct investment (FDI) in Nigeria.

The study utilized the non-linear autoregressive distributed lag (NARDL) bounds test technique for the time-series analysis covering the period 1984-2017.

The findings reveal that corruption inhibits FDI inflow and corruption control has asymmetric effects on FDI inflow to Nigeria. The coefficient of positive shock or changes in respect of corruption control is positive as well as statistically significant during the long run, while the coefficient of negative shock is negative, but statistically insignificant. This implies that improvement in corruption control encourages inflow of FDI to the country, whereas a decrease in corruption control has an insignificant effect.

Nigeria needs to intensify its corruption control efforts to effectively enhance the conduciveness as well as attractiveness of its business operating environment for FDI inflow.

This paper is among the first to use time-series analytical process to empirically verify the asymmetric association of corruption control and FDI inflow in Nigeria. In this regard, the insight generated by outcomes of the study will enable specific inferences to be drawn from the empirical findings by policy makers, academic researchers and business practitioners.