Background: Namibia is an open economy where international trade accounts for a greater proportion of gross domestic product (GDP). Openness of the Namibian economy for the period 2010 to 2018 has been on average 111% of GDP. The high level of openness of the economy raised an important question on the relationship between export and economic growth in Namibia. Previous studies investigated the linear relationship between these two variables. The investigation was also done at an aggregate level. This raises important questions on whether the relationship between export and economic growth is asymmetric. It also raises an important question on whether this relationship is sector specific.Aim: In order to fill the gap in previous research, this study investigates the asymmetric or non-linear relationship between the main export sectors and economic growth in Namibia. A non-linear relationship between the two variables will indicate that negative and positive values of the explanatory variables have different effects on the dependent variable. This analysis is done for the main export sectors of the Namibian economy in order to ensure the policy recommendations are sector specific.Setting: Standard economic theoretical models on the relationship between export and economic growth are used to test the non-linear relationship between the two variables. The study covers the period 2010–2018 and focuses on the three main export sectors (diamonds, manufactured food and live animal products) and growth of the Namibian economy.Methods: This study uses non-linear autoregressive distributive lag in order to estimate the asymmetric relationship between the main export sectors and economic growth of Namibia. The estimation is done for the three main exporters of the Namibian economy.Results: The results indicate that there is a symmetric relationship between main export sectors and economic growth of the Namibian economy. The results show that an increase (positive values) in export of the three main export products will cause economic growth to improve. Negative values (decrease in export) will cause economic growth to deteriorate.Conclusion: The results suggest that estimating the non-linear relationship for different sectors of the economy (instead of estimating the relationship at aggregate level for total exports) will ensure that economic policies are sector-specific. The results further suggest that when exports are declining, expansionary policies will be the appropriate responses.

Background/Objectives: The impact of government health spending and external debt on maternal mortality has been the subject of ongoing theoretical and empirical discussions. However, this relationship has remained controversial with no perspective on the moderating role of external debt on the government’s health expenditure and maternal mortality link. This study examines the moderating effect of external debt on the government’s health expenditure and maternal mortality relation using data from 13 Southern African economies spanning from 2000 to 2022. Methods: We employed the augmented mean group, the dynamic common correlation effect mean group, and the Driscoll–Kraay and Granger causality techniques to attain the study’s objective. Results: The outcome revealed that government health expenditure and external debt reduce maternal mortality in the Southern African Development Community (SADC) region. Equally, the magnitude of government health spending is moderated by external debt. The results revealed a bidirectional relation amidst maternal mortality and government health expenditure, and maternal mortality and external debt. Conclusions: The study recommends that policymakers within the SADC zone should avoid austerity measures and encourage expansionary measures in terms of spending, and the contraction of debt for capital investment in the health sector. This will enhance the delivery of health services within the zone and equally reduce the rate of maternal mortality that is still a major health concern within the sub-region.

The impact of exchange rates is a significant concern affecting trade in the SADC region. This study’s purpose is to assess the threshold effects of exchange rates on agricultural exports from SA to SADC from 2010 to 2022. A panel threshold estimation technique is applied to assess the exchange rates effects in different regimes that can be below or above the threshold value. This can reveal non-linear relationships that are often overlooked in traditional linear models. In this analysis, exchange rates are disaggregated into appreciation and depreciation, as it is critical to determine how these changes affect agricultural exports, which has not been achieved in previous studies. The findings of this study confirm the existence of a non-linear relationship between several key variables (depreciation, South Africa’s GDP, the GDP of the SADC, and South Africa’s population and agricultural exports). This contributes new insights to the existing literature on the SADC economies. The policymakers could implement an exchange rate stabilisation mechanism and promote the diversification of both market destinations and agricultural export products. The SADC economies could consider adopting flexible exchange rate regimes that respond to market forces, while taking into account external shocks and economic indicators to mitigate the effects of depreciation shocks. Furthermore, the findings from this study can aid policymakers in formulating effective strategies for managing exchange rates fluctuations and promoting agricultural export growth. The findings show that different segments of agricultural exports can inform targeted interventions aimed at supporting exporters, and relevant industries within the SADC region. These results can aid policymakers to develop strategies to support sustainable agricultural practises, and ensure that the sector can meet the growing demands of a larger population.

Southern African Customs Union (SACU) countries are under pressure to commit themselves to sustainable environmental activities. This study employed data from 2007 to 2021 using quantile regression to determine the heterogenous effects of industrialisation on environmental degradation in SACU countries. Prior to the main results, this study investigated and confirmed the existence of a long-run relationship between industrialisation and environmental degradation. This study confirms the heterogeneous effect of industrialisation on environmental degradation. The results through quantile process estimates demonstrated an inverted U-shaped curve. The inverted U-shape suggests that industrialisation at lower and higher quantiles has a minor effect on the environment compared to medium quantiles, where it has a higher effect. This study found that industrialisation increases environmental degradation in the 4th to 6th quantiles, whereas in the 7th to 8th quantiles, industrialisation reduces environmental degradation. Therefore, it is recommended by this study that to mitigate environmental degradation, firms in SACU countries are encouraged to adopt environment-friendly technologies in their production.

The study on the link concerning FDI and environmental emissions has been the interest in recent environmental economics subject. The interest of this research work is to dynamically understand the effect of FDI on environmental emissions in South Africa. The research applied the renowned Markov-switching regression to explore the association among the variables. Prior to the formal estimation, the data were subjected to a linearity test, non-linear unit root test and cusum test so to ascertain whether the variables conform to non-linearity modeling. The results demonstrated that in both regimes (lower or higher emissions), the influence of FDI is positive and statistically significant. This finding implies that foreign investment is detrimental to our environment, irrespective of regime changes. This finding supports the Pollution Haven Hypothesis (PHH). Furthermore, the results show that emissions in South Africa stay in a low or high regime for a short period between one and two years. Policy implications to the results are that economic and climate change policy makers in South Africa should start to regulate FDI to be environmentally friendly.