The study explores the relationship between ecological footprint, urbanization, and energy consumption by applying the ARDL estimation technique on data spanning 1965-2014 for South Africa. After applying the unit root test that accounts for a break in the data, the Bayer and Hanck (J Time Ser Anal 34:83-95, 2013) combined cointegration test affirms cointegrating relationship among the variables. Findings further reveal that economic growth and financial development exact a deteriorating impact on the environment in the short run. However, the same was not true for both energy use and urbanization. While urbanization and energy use promote environmental quality in the long run, financial development and economic growth degrade it further. The long-run findings of our study are confirmed to be robust as reported by the fully modified OLS (FMOLS), dynamic OLS (DOLS), and the canonical cointegrating regression (CCR) estimates. The direction of causality supports the energy-led growth hypothesis for South Africa. Policy outcomes and directions, and the possibility of promoting sustainable growth without degrading the environment are discussed.
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http://dx.doi.org/10.1007/s11356-019-05924-2 | DOI Listing |
MethodsX
June 2025
Biofuel and Renewable Energy Research Center, Department of Chemical Engineering, Babol Noshirvani University of Technology, Babol, Iran.
Microbial fuel cells (MFCs) have garnered significant attention from researchers as an innovative and environmentally friendly method for the treatment of urban and industrial wastewater. The type and material of the electrode are critical factors affecting the efficiency and energy production of this process. The electrodeposition method was employed to dope nickel (Ni) and modify the surface of graphite plates (GP) and carbon felt (CF).
View Article and Find Full Text PDFACS Omega
January 2025
School of Safety Engineering, China University of Mining and Technology, Xuzhou, Jiangsu 221116, China.
Hot dry rock (HDR) geothermal development faces challenges due to the difficulty of stimulating fluid flow and heat-exchange fracture channels within deep, low-porosity, and low-permeability reservoirs. A liquid nitrogen cyclic cold shock method was proposed, using liquid nitrogen as a fracturing fluid. The large temperature difference between the liquid nitrogen and the hot rock induces thermal stress, forming a complex pore-fracture network.
View Article and Find Full Text PDFJ Environ Manage
January 2025
Department of Soil, Water, and Ecosystem Sciences, University of Florida | IFAS, Gainesville, FL 32611, USA.
Stormwater ponds (SWPs) are an increasingly common management tool for flood control and water quality protection in urban areas. They are designed to buffer the impacts to downstream environments caused by altered hydrologic, chemical, biological, and ecological processes in developed watersheds. While small in size, they can have disproportionately large impacts on watersheds because they store, transform, and release inputs of carbon (C) and nutrients, mainly nitrogen (N) and phosphorus (P).
View Article and Find Full Text PDFJ Hazard Mater
January 2025
School of Civil and Transportation Engineering, Guangdong University of Technology, Guangzhou 510006, PR China. Electronic address:
Groundwater is widely threatened by hazardous manganese and ammonia. In present study, a novel gravity-driven fixed-bed ceramic membrane filtration (GDFBCM) with critical PAC-MnOx-ceramsite filters was built to address these issues. Static ceramsite filters in GDCM significantly increased membrane flux from 11 L/m·h to 18 L/m·h on the 50th day of filtration.
View Article and Find Full Text PDFWater Res
January 2025
School of Civil, Environmental, and Architectural Engineering, Korea University, Seoul 02841, Korea. Electronic address:
Anaerobic digestion (AD), which relies on a complex microbial consortium for efficient biogas generation, is a promising avenue for renewable energy production and organic waste treatment. However, understanding and optimising AD processes are challenging because of the intricate interactions within microbial communities and the impact of volatile fatty acids (VFAs) on biogas production. To address these challenges, this study proposes the application of graph convolutional networks (GCNs) to comprehensively model AD processes.
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