To solve the active macroeconomic challenges of remittances, human capital flight, and brain drain facing Sub-Saharan Africa (SSA) from the perspective of costs and benefits tradeoffs for achieving Sustainable Development Goal eight (SDGs-8) targets by 2030 and the recipient communities’ wellbeing, this study investigates the sustainable economic growth in SSA: Do remittances, human capital flight, and brain drain matter? Autoregressive-Distributive Lag (ARDL) and the Error-Correction Mechanism (ECM) were used. Thus, this research is led by push–pull, altruism, and social network theories. The ARDL showed that remittances and trade positively affect economic growth. However, human capital flight, poverty, corruption, and inequality negatively affect economic growth. The co-efficient of ECTt−1 is ascertained to be negative (−0.266282) with a significant statistical value of 1% (i.e., 0.0123). Therefore, the annual requirement to restore equilibrium convergence is 26.62%. The study concludes that SSA may achieve their sustainable economic growth target, particularly by formalizing remittances and human capital flight and brain drain into the financial, economic system in SSA by 2030, since restoration to long-term convergence will take less than nine years. Enabling a labor market that offers decent work and wages, along with trade and remittance policies for sustainable growth, are recommended.
Currently, food security is becoming a fundamental problem in the global macroeconomic dynamics for policymakers and governments in developing countries. Globally, food security offers challenges both from achieving Sustainable Development Goals (SDGs) targets and the welfare perspective of many poor households. As a result, this study is guided by Neo Malthusian and Access theories to investigate Food Security Sustainability: a Synthesis of the Current Concepts and Empirical Approaches for Meeting SDGs in Nigeria using ARDL and ECM techniques. The ARDL revealed that agricultural value-added and GDP positively affect food security for commercial agrarian investments in Nigeria. However, internal displacement, population growth, food inflation, and exchange rate volatility negatively affect sustainable food security in Nigeria. The model’s coefficient of ECMt−1 also shows negative (−0.0130 approximately) and statistically significant (0.0000) at 1%. Thus, the speed of adjustment requires 1.3% annually for the long-run equilibrium convergence to be restored. The study concludes that the SDGs targets for poverty and hunger reduction, mainly for food security sustainability alongside small producers by the year 2030, can be rarely achieved because the convergence to equilibrium is more than nine years. An active value-addition strategy for sustainable food security and the provision of humanitarian interventions are recommended.
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