Modelling energy trilemma and economic growth on renewables in N11 economies: Do economic complexity matter?

Utilizing renewable energy is a necessity for accomplishing global agendas, including combating climate change and promoting sustainable development programs. Although much literature has investigated the nexus between energy sources and their affected regressors during the last few years, no appreciable emphasis is available in the previous studies respecting the influence of the energy trilemma index and economic expansion on the influence of the energy trilemma index and economic the renewables in N11 economies. Therefore, the current study analyzes the crucial influencing factors, including the energy trilemma, economic growth, economic complexity, financial development, and urban population, as drivers of renewable energy in N11 economics from 1990 to 2021 by utilizing a panel quantile regression approach.

A closer look at bio-hydrogen strategy in post-carbon age and its prospect in Egypt.

The necessity of achieving climate goals has become more pressing during the past two years. Discussions on implementing and achieving these goals have taken place in addition to the tightening of the climate targets and the desire for net-zero attainment by as early as 2050. Along with the capacity of biomass to supply the energy needs of society today being quite significant, hydrogen may be the best choice to replace fossil fuels as a clean energy source.

Assessing the role of green economy on sustainable development in developing countries.

Purpose: Over the last few years, the green economy (GE) notion has been realized as a key tool for achieving sustainable development (SD) in both developing and developed nations. Therefore, the current study tries to investigate the role of GE in achieving SD in developing countries. Through empirically examining the relationship between the GE and three different dependent variables which are GDP per capita, total unemployment rate, and poverty level, using cross-sectional data for 60 developing countries in 2018.

Modelling natural gas, renewables-sourced electricity, and ICT trade on economic growth and environment: evidence from top natural gas producers in Africa.

Addressing extensive global goals including growing energy-sourced electricity and advancing sustainable development plans strongly depends on natural gas as a transition fuel to renewable forms of energy. Therefore, by using pooled, random, and fixed-effects models, the current study investigates the effects of electricity sourced from natural gas (ENG), renewable energy (RE), and trade in information and communication technologies (ICTs) on economic growth and carbon dioxide (CO) emissions in Africa's top three natural gas producers, Algeria, Egypt, and Nigeria, from 1990 to 2020. The findings indicate that CO, ENG, ICT trade, and urbanization (UP) are all strongly and positively correlated to economic progress, with the exception of RE, which has an insignificant influence.

Assessing environmental concern and its association with carbon trade balances in N11 Do financial development and urban growth matter?

Expanding of complex global supply chains enhances the role of global trade in the deterioration of the environment by production redeployment across nations, which is tightly connected to emission transmission or the carbon trade balance. Although much earlier studies have assessed the link between emissions of carbon dioxide (CO) and their influenced variables in the past few years, no substantial attention is available in the literature review concerning the influence of carbon trade balance on the environment in N11 economies. Therefore, via economic progress, renewable/fossil energies consumption, financial development, and urbanization growth as control variables, the influence of the carbon trade balance on emissions of CO in N11 countries is explored from 1990 to 2020.

Investigating the potential role of innovation and clean energy in mitigating the ecological footprint in N11 countries.

This paper seeks to explore the potential function of technological innovation and clean power in mitigating the ecological footprint in the N-11 nations during the phase 1992-2015 by applying panel cointegration analysis. The outcomes of the panel cointegration test signify the occurrence of a long-run relation among the clean energy (CE) variable, the ecological footprint (EF) variable, the per capita GDP (Y) variable, the financial development (FIN) variable, and technological innovation (TI) variable. The outcomes of the VECM signify a long-run causal relation from the ecological footprint (EF) variable to the clean energy (CE) variable, the GDP per capita (Y) variable, and technological innovation (TI) variable.

How do clean energy sources and financial development affect unemployment? Empirical evidence from Egypt.

Reducing unemployment rate to reach 5% is one of the most important priorities in Egypt's Strategy for Sustainable Development. So, enhancing the finance of medium and small enterprises and attracting investors to clean energy resources sectors are considered the most important government's priorities to achieve this strategic goal (UN 2018). Depending on this strategy, the study investigates the long-run and causal relationships between unemployment, financial development, population, and clean energy sources in Egypt from 1971 to 2014.

Do technological innovations and financial development improve environmental quality in Egypt?

Achieving the seventh Sustainable Development Goal which is clean energy at affordable prices depending on technological innovation is one of the most strategic objectives of Egypt, aiming at mitigating carbon dioxide emissions and enhancing sustainable economic growth (IRENA 2018b). Based upon this goal, the study explores the relationships among carbon dioxide emissions, technological innovation, alternative energy resources, economic growth, and financial development in Egypt over the period 1971-2014. Auto-regressive distributed lag (ARDL), fully modified ordinary least square (FMOLS), Stock and Watson dynamic ordinary least square (DOLS), and Toda-Yamamoto approaches are employed.