ABSTRACT
Urbanization and economic growth in sub-Saharan Africa have undergone dramatic changes in recent decades with countries in sub-Saharan Africa seeking to industrialize their economies to boost economic growth. This study, with panel data from 37 sub-Saharan countries between the time period of 1995 and 2017, employs panel cointegration tests and pooled mean group ARDL (PMG-ARDL) techniques and the Dumitrescu-Hurlin causality test to empirically examine the impact of urbanization, economic growth, energy consumption, and industrialization on carbon emissions. Results from the PMG estimator confirm no significant impact of urbanization on carbon emissions in both the long run and short run. One percent surge in energy consumption was found to have significantly caused 1.03% and 0.15% rise in carbon emissions in both long run and short run respectively, thereby reducing the environmental quality. Further findings revealed a significantly negative relationship between economic growth and carbon emissions as well as industrialization and carbon emissions. Additionally, our causality test shows a unidirectional relationship running from energy consumption to carbon emissions. Policymakers are advised to develop rural areas and plan urban centers, pay attention to sustainable energy sources and waste recycling, and educate the populace to improve environmental quality.
Subject(s)
Industrial Development , Urbanization , Carbon , Carbon Dioxide/analysis , Africa South of the Sahara , Economic DevelopmentABSTRACT
To clarify the evolution of "production-living-ecological" function coupling in the Yellow River Basin, coordinating the spatial allocation of resources, development management and layout optimization, is an important means for achieving ecological protection and high-quality development in the region. In this paper, we conducted an empirical analysis and ARIMA prediction of the coupled production-living-ecological function coordination level in the Yellow River Basin of China from 2008 to 2018, and found that: (1) In terms of temporal evolution, the production-living-ecological function and coupling coordination level of each province and region in the Yellow River Basin generally shows a sharp and then slow upward trend, with the living functions changing more than the production and ecological functions; (2) in terms of spatial pattern, the production and living functions of each province and region show the trend of functional level increasing from east to west over time; the ecological functions, contrary to production and living functions, show a "high-low" aggregation, midstream shows "low-low" aggregation, and downstream shows "low-high" aggregation; (3) According to the regression results of the spatial Dubin model, the environmental governance level, technological research and development level, and social security level and resource dependence degree have positive promoting and spillover effects on the coupling coordination level of the "production-living-ecological" function in the region. However, population density and carbon emission intensity will hinder the development of regional coupling coordination level; (4) from the ARIMA prediction, the coupling coordination level of "production-living-ecological" in the Yellow River Basin continues the development trend of 2008-2018 in the short term, the overall coordination level is at a high level, and the variability of coupling coordination level among provinces and regions is further reduced. Finally, corresponding development countermeasures and suggestions are given to different provinces and regions based on the spatial and temporal evolution characteristics, influencing factors and development trend of the "production-living-ecological" function in the Yellow River basin.
