This study examined the impact of private domestic investment on manufacturing sector output in Nigeria from 1970 to 2017. The study specifically looked at the impact of private domestic investment on manufacturing sector's output in a static and dynamic model. Six variables were employed in the study and were sourced from CBN statistical bulletin and World Development Indicators for the period covering from 1970 to 2017. The analysis of the variables undergoes three approaches, the pre-analysis of data, model estimation and the diagnostic analysis of the model. The first approach employed tables and graphs to explain the behaviour of the data, equally the univariate analysis of the data were examine with the Augmented Dickey-Fuller equations and the possibility of long-term relationship. The models were estimated with the ARDL estimator and model selected with the Akaike Information Criteria, and finally the models estimated were tested using the Jaque-Bera statistics, Ramsey RESET Test, Breusch-Godfrey and Harvey test for residual normality, specification bias, autocorrelation and heteroskedasticity respectively. The results from the analytical methods shows that there is over 82 percent increase in the output of Manufacturing sector in the late 1970s and early 1980s and over 98 percent increase the output of the manufacturing sector in the late within 2010 and 2015. Also, the study observed that the responses of output of the manufacturing sector to private domestic investment are positive and significant in the static and dynamic models. The study found that the impact of private domestic investment on manufacturing sector output were fairly elastic in the static model and fairly inelastic in the dynamic model. Finally, the study found that the model have a weak adjustment mechanism. The adjustment of disequilibrium between static and dynamic equilibrium is weak or just 24.9 percent. Since private domestic investment is significant and positively impacted on the performance of the manufacturing sector irrespective of the time zone, the study recommended for increase in the credit to private sector by the apex monetary authority.

This paper examined the impact of climate change through the carbon emissions channel on agricultural productivity in Nigeria. It adopted the transposed second-generation environmental Kuznets curve model, which defined growth (agricultural productivity) as a function of climate change. Data from world development indicators between 1960 and 2019 were utilized to examine the impact of climate change on agricultural productivity. The paper employed the bound test (ARDL) method. The result showed the existence of a long-run relationship between carbon emissions (proxy by CO₂ emissions and CO₂ intensity) and agricultural productivity (proxy by Agric.GDP, crop production index, and food production index) in Nigeria. The speed of adjustments is between 34% and 80%. Thus, a change in CO₂ emissions and intensity affects Agric.GDP differently, but CO₂ emissions and intensity negatively impacted crop and food production in Nigeria. The result implies that carbon emissions and carbon intensity cause decline and generates a dampening threat to Nigeria’s agricultural productivity through physical risk channels. By extension, the study concludes that carbon emission causes climate vulnerability that affects agricultural yields, production, and productivity. Carbon emissions results in low agricultural productivity which in turn disrupt food security as well as distort the poverty reduction strategy in the country. This study, therefore, recommends an equitable implementation of carbon pricing, adoption of mitigation policies, promotion of effective and efficient environmental laws, and the implementation of an appropriate abatement policy that jointly optimizes environmental stability and growth targets of the sustainable development goals.

Does foreign direct investment (FDI) migration into Nigeria and Sierra Leone generate a climate change scare (CCS) based on the pollution haven-halo hypothesis? The quasi-experimental design study utilized data from the world development indicator, 1970-2019 using a nonlinear autoregressive distributed lag (NARDL) model to estimate the dynamic impact of FDI migration on CO2 emissions (a proxy for CCS). The study found that the change in FDI migration in Sierra Leone causes upward CO2 emissions. The positive impact of FDI migration on CO2 emission implies that the pollution haven hypothesis exists in Sierra Leone. Comparatively, dynamic FDI migration into Nigeria caused a mixed impact on CO2 emissions. The result found that an increase in FDI migration caused a decrease in CO2 emissions in Nigeria. Similarly, a decrease in FDI migration caused an increase in CO2 emissions. Also, the Wald F-test suggests a long-run asymmetry and symmetry between FDI and CO2 emissions in Sierra Leone and Nigeria, respectively. Hence, there is the presence of a pollution halo-haven issue in Nigeria. The study, therefore, recommends that green FDI financing that supports environment-friendly technology export into Nigeria and Sierra Leone that would enable optimal climate change control both in the short-and long-term. Thus, technology that efficiently improves environmental quality, preserves, and protects the ecosystem should be imported into Sierra Leone and Nigeria.

This paper investigates the pairwise causality and co-integration that links fossil fuel consumption (FFC), carbon dioxide (CO2) emissions, and real gross domestic product (RGDP) between low-income countries (LIC) and highincome countries (HIC). This comparative analysis is anchored on Lv et al. (2019). Lv et al. (2019 enable the analytical framework model utilized to investigate the causality between FFC and CO2, CO2 and RGDP, and FFC and RGDP in HIC and LIC. Data were obtained from world development indicator between 1960 and 2019. The results obtained are, as follows: There exists a unidirectional causality, thus the RGDP granger causes CO2 in HIC, and no causality between RGDP and CO2 in LIC. Also, the study found no causality between FFC and RGDP, and FFC and CO2 in HIC and LIC. The mixed inter-regional causality result showed that there exists bi-directional causality between RGDP and CO2 for HIC and LIC. This implies that RGDP in LIC granger causes CO2 in HIC, and CO2 in HIC granger causes RGDP in LIC. Hence, the presence of a regional super-wicked problem. Also, CO2 in HIC granger causes FFC in LIC. The result suggests that countries should seamlessly adopt proportionate mitigation and adaptation policies to reduce the pollution transmission between economies. The non-existence of pairwise co-integration between FFC, CO2, and RGDP in HIC and LIC connotes that the CO2 reduction policy should be a short-term public policy strategy with conscious and deliberate targeting to avoid long-run growth reversal. Therefore, this paper concludes that reducing FFC may not necessarily lead to a decline in growth vice versa. Thus, to achieve a low carbon economy and a high growth regime, the global community should adopt a techno-economic paradigm model that would accelerate growth within a low-carbon economy regime to realize the 45% carbon reduction target by 2030 and the 2050 net-zero emission target.

This paper examined the impact of changing climate patterns (represented by square and cubic CO2 emissions) on selected development drivers (proxy by gross domestic product [GDP] per capita [GDPC] and official development assistance [ODA]). Environmental Kuznets curve (EKC) provided the theoretical backdrop of this study, referred to as the core second-generation EKC (SGEKC) hypothesis. SGEKC was modified to obtain the transposed SGEKC. The transposed SGEKC was conceptualized based on the one-way criticism of the EKC. An unbalanced PMG (ARDL) method was utilized to investigate the impact of the changing climate patterns on GDPPC-(to capture EKC hypothesis) and ODA-(to capture pollution haven hypothesis) in the West African Monetary Zone (WAMZ). This study, therefore, leveraged data from world development indicators between 1970 and 2019. The result showed that the one-way impact of CO2 emissions on GDPC has a long-run N-shaped. The outcome of the GDPC model (in the transposed SGEKC hypothesis) is consistent with the core SGEKC hypothesis. On the other hand, the impact of CO2 emissions on the ODA showed an inverted N-shaped in the long run. The inverted N-shaped relationship does not support pollution-haven hypothesis in the long-run. The results, therefore, imply that the changing climate patterns have a more disruptive impact on income per capita and less on ODA. In the short-run, the result showed the existence of an inverted-N and N-shapes for GDPC (SGEKC does not hold) and ODA (presence of pollution haven) respectively. In conclusion, changing climate patterns present a long-run threat to the economy of WAMZ which in turn could disrupt economic agents' interactions, deoptimize economic aggregates and economic equilibrium, as well as negatively affect the attainment of a longrun regional development objectives. This study recommends that WAMZ's government(s) should fast-track the implementation of robust carbon pricing mechanism and abatement policy that would enable climate mitigation policy, improve the regions nationally determined contributions (NDCs) targets, and insulate the economies from policy uncertainty associated with climate change.