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The purpose of this paper is to assess the relative effectiveness of bilateral and multilateral concessional debts on economic growth in 32 sub-Saharan African (SSA) countries over the period 1985–2016.

The recently developed dynamic panel autoregressive distributed lag models which comprise three different estimators, the mean group, pooled mean group (PMG) estimator and dynamic fixed effect, were applied to estimate the model. Following these estimators, the Hausman test was employed to determine the efficient and consistent estimator.

The results showed that bilateral concessional debts had a negative impact on growth. From the findings, a 1 percent increase in bilateral concessional debts induced economic growth to decline by 38.1 percent points in the short run, and by 7.1 percent points in the long run; convergence to long-run equilibrium adjusted at the speed of 90 percent on an annual basis. Multilateral concessional debts were found to have a positive impact on growth both in the short and long run. The coefficient of the error term was negatively signed and indicates that deviations from the long-run equilibrium path were being corrected at the speed of 89.4 percent annually.

To the authors’ best knowledge, empirical studies that specifically seek to examine how bilateral and multilateral concessional debts impacted on growth are yet to attract the attention of researchers. As a result, this study will complement related extant growth studies, especially in the case of SSA.

During the coronavirus (COVID-19) pandemic lockdowns, stay at home or work from home, many have argued that the westernised non-pharmaceutical interventions (NPI) do not provide remedial in low-income countries like Nigeria, where informal job seekers, street traders, informal labourers and artisans depend mainly on the informal economy. By applying social solidarity (SS) and community-based approach (CBA), the authors evaluate individual acts (trust, altruism and reciprocity) during the lockdown and how these practices evolve from individual approaches to collective actions.

This study reflects on pragmatism research paradigm that enables researchers to maintain both subjectivity in their reflections and objectivity in data collection and analysis. The authors adopt a qualitative method through purposeful and convenience sampling procedure. Data were analysed thematically to identify elements of SS, individual acts, collective or community actions and perceptions.

The findings reveal that COVID-19 had a disproportionate impact (lack of food and a fall in daily income) on workers, informal job seekers, informal businesses operators and the poor households. As such, the study developed a reflective model of solidarity exhibited by individual acts and collective acts (practices of resource pooling, information sharing, women empowerment, distribution of palliatives and donations) within trusted circles that helped people cope with the lockdown experiences.

Solidarity represents beliefs, practices of values and norms. The SS exhibited by people through NPI would have implications on planning and monitoring the effectiveness of public health programmes during a pandemic in the future.

The findings of citizens and community actions have implications related to the process of building communities – coming together – and solidarity that enhances social development with implications on community health policy agenda during disasters, emergencies and health pandemic.

This is one of the first studies to analyse the relationship between trust, altruism, reciprocity, SS and CBA during the COVID-19 pandemic. Also, it seems reasonable to clarify the concept of SS given the lack of clarity about the definitions from previous studies.

The purpose of this paper is to determine cause and effect relationship between foreign direct investment (FDI) and economic growth (gross domestic product (GDP) taken as proxy) for Brazil, Russia, India, China and South Africa (BRICS nations) individually for the period 1992-2013. Also, the study tries to explore the reasons behind the linkage between FDI and GDP by estimating a linear regression model consisting of both macro-economic and institutional variables.

Johansen cointegration technique followed by vector error correction model (VECM) and standard Granger causality test are employed to investigate the causal linkage between FDI and GDP. To delve into the reasons behind this linkage, an ordinary least square (OLS) technique is also applied to test the linear regression model consisting of net FDI inflows as dependent variable and nine macro- economic and institutional variables. Residual diagnostics is also conducted using Breusch-Godfrey Lagrange Multiplier test for diagnosing the problem of serial correlation, Breusch-Pagan-Godfrey test for examining heteroskedasticity and Jarque Bera test for verifying the normality of residuals.

The Johansen cointegration result establishes a single cointegrating vector (long run relationship) between FDI and GDP for India, China and Brazil. After proving a cointegration, VECM results revealed that there exists unidirectional long run causality running from GDP to FDI in case of Brazil, India and China. Also, it is confirmed that there exists short run causality between FDI and GDP in China, i.e. the past lags of FDI jointly impact the value of GDP. However, for Russia and South Africa, where there is no cointegration in the long run, standard Granger causality test is conducted which reveals that in both the nations, FDI and GDP are independent of one another. The results of OLS technique reveal different country-specific factors causing this linkage between FDI inflows and economic growth.

Various researchers in the past have examined this issue of linkage between FDI and GDP in the context of various developing or developed nations. This reveals a gap in the existing literature pertaining to this causal linkage in the context of the BRICS. Thus, this study fills this gap by analyzing not just this causal nexus with the help of VECM and Granger causality techniques but also tries to explore further the reasons for such strong/weak/no link with the help of fitting a regression model which comprises of both macro-economic and institutional country-specific variables influencing this causation.