While there is a consensus on the expanding importance of the China–Africa economic relationship, there is much more debate on how to portray the relationship. Thus, this study is aimed to examine the impacts of the China–Africa trade and Chinese foreign direct investment (FDI) on the growth of African countries controlling the mediating role of institutional quality. The two-step system Generalized method of moments (GMM) model is applied using robust data for the period of 2003–2017. Drawing on complementary theoretical perspectives, this study took into account the conditional effect of China–Africa trade and Chinese FDI subject to the institutional quality of African countries and the interdependence of China–Africa trade and Chinese FDI to African countries. The benign impacts of the China–Africa trade and Chinese FDI on economic growth to African countries remain contingent upon appropriate policy action to improve the institutional quality of African countries and the synergies between the China–Africa trade and Chinese FDI to African countries.

This study examines the impacts of institutional quality and business environment on Chinese foreign direct investment (F.D.I.) flow to Africa. We derive aggregate indicators of institutional quality and business environment using economic and governance institutions, doing business, transport efficiency indicators conducting a principal component analysis. We employ Poisson pseudo-maximum likelihood (P.P.M.L.) procedure to estimate the gravity model of F.D.I. flow as it can solve zero-valued observations and heterogeneity problems. Our findings disclose that institutional quality and business environment indicators are significant motivators of Chinese F.D.I. flow to Africa. Our findings are robust and similar after we account for endogeneity concerns using an I.V. estimator. Based on our results, we conclude that improvement in the business environment and the institutional quality of African countries is key to spurring Chinese F.D.I. flow to Africa.

The authors examine the impacts of quality of institutions, border and transport efficiency, physical and communication infrastructure on overall and intra-Africa trade covering 44 African countries and their 173 trade partners for the periods 2000–2014. Aggregate indicators are derived for the quality of economic institutions, border and transport efficiency, physical and communication infrastructure using principal component analysis. The findings disclose that intra-Africa and overall Africa's trade robustly determined by the quality of institutions, border and transport efficiency, physical and communication infrastructure. The estimates also indicate that the marginal effect of the quality of institutions, physical and communication infrastructure on trade flow appears to be increasing in GDP per capita. In contrast, the marginal effect of border and transport efficiency on trade decreases in GDP per capita. The authors compute the simulation of improving each indicator to the best performer in the sample. Their findings are robust to estimation method conducted to account for potential endogeneity.

This study attempts to empirically examine the impacts of the China–Africa economic relationship on factor productivity. The two-step system Generalized method of moments (GMM) estimator is applied to analyze the impacts of the Africa–China economic relationship on factor productivity of 44 African countries controlling Africa–China trade, Chinese foreign direct investment (FDI), and aid allocation to African countries for the periods 2003–2017. The estimation strategy controls endogeneity concerns. Another novelty of this study is calculating total factor productivity (TFP) using the regression approach and driving capital stock data. Additionally, the institutional quality index of countries is derived using principal component analysis. The findings of this study refer that the impact of the China–Africa economic relationship on the TFP of African countries is conditional to the domestic institutional quality of African countries. The results imply that the productivity embodied by the Africa–China economic relationship should be backed by the domestic adaptive capacity to use the benefit of China–Africa economic relations to excel factor productivity. Hence, the capability of African countries to benefit from the China–Africa economic relationship to enhance factor productivity should improve the institutional quality.

PurposeThis study examines the effects of COVID-19 on trade, production and environmental quality and provides policy implications on green recovery.Design/methodology/approachThe two-step Heckman method is applied to estimate the structural gravity specification of trade. Besides, the two-step system GMM model is used to estimate the effects of COVID-19 on production and environmental quality. Additionally, descriptive analysis and literature review have been used.FindingsThe findings disclose that COVID-19 adversely affected the trade performance of the countries. The results further imply that the regional trade agreements (RTAs) can play a key mediating role in the post-COVID-19 trade recovery. Besides, the impact of COVID-19 on the output is substantially negative. However, the effect of COVID-19 on environmental quality is significantly positive.Originality/valueIt is the first study of its kind to examine the effects of COVID-19 on trade, production and CO2 emissions covering panel countries. Second, it provides a detailed analysis of firms planning to engage in the export sector. Moreover, it offers policy suggestions to consider environmental quality and green recovery. Besides, it examines the mediating role of RTAs in the relationship between trade and the pandemic.