Driving forces of CO2 Emissions based on impulse response function and variance decomposition: A case of the main African countries
Journal Title: Environmental Health Engineering and Management Journal - Year 2022, Vol 9, Issue 3
Abstract
Background: The need to understand the causes of CO2 emissions has prompted the formulation of strategies to prevent global warming. Therefore, the purpose of the study was to determine the input variable that is the most influential in contributing to CO2 emissions and at the same time to forecast the effect of a shock in macroeconomic variables on CO2 emissions for 6 leading African countries over the period of 1970 to 2019. Methods: In this study, the statistical methods of impulse response function and variance decomposition techniques of analysis were used. Results: A one-standard-deviation rise in economic growth leads to an increase in CO2 emissions. A shifts in the square of economic growth increased CO2 emissions, the shock was smaller than that of economic growth. This confirms the theory of environmental Kuznets curve (EKC) in Africa. A shocks to FDI had a positive influence on CO2 emissions. A one standard deviation shock in financial development had an instantaneous positive impact on CO2 emissions. FDI had a greater effect than other factors in explaining CO2 emissions over the short and medium term. In the long run, economic growth contributes the most to CO2 emissions among the explanatory variables. Conclusion: The findings of the study can be used as a reference for international organizations and environmental policymakers in forecasting climate change and assisting in policy decision-making. Africa must boost economic growth through industrial, agricultural, and energy usage patterns and integrate innovation, research, and technology advances into their developmental agenda to fulfil sustainable development goals while lowering CO2 emissions and their consequences.
Authors and Affiliations
Aminu Hassan Jakada, Suraya Mahmood, Ali Umar Ahmad, Ibrahim Garba Muhammad, Ismail Aliyu Danmaraya, Nura Sani Yahaya
Simultaneous adsorption of heavy metals from aqueous matrices by nanocomposites: A first systematic review of the evidence
Background: Nanocomposites have received remarkable attention as effective adsorbents for removal of coexisting pollutants over the last decades. The presence of heavy metals (HMs) in wastewater has caused a global healt...
Comparison of EPI in the field of climate changes indexes in Iran and other countries in 2020 and the relationship between GDP and EPI
Background: This study aimed to evaluate the Environmental Performance Index (EPI) in the field of climate changes in Iran in 2020, to compare these indexes in the Middle East countries and developed countries, and to...
Determination and risk assessment of heavy metals in air dust fall particles
Background: Urban and industrial development has increased the concentration of heavy metals in various environments, and also, increased their amount in dust fall particles. The aim of this study was to determine and as...
Application of imputation methods for missing values of PM10 and O3 data: Interpolation, moving average and K-nearest neighbor methods
Background: PIn air quality studies, it is very often to have missing data due to reasons such as machine failure or human error. The approach used in dealing with such missing data can affect the results of the analys...
Effect of varying weight of mealworms (Tenebrio molitor L.) on styrofoam degradation
Background: Waste management involves systematic and sustainable practices, including recycling daily solid waste. Globally, styrofoam , a common type of plastic waste, is widely used in packaging and food services. In...