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. Applying generalized least square (GLS) approach. The four dimensions of the Global Green Economy Index (GGEI) are the key independent variables that measure the accomplishment of nations in aspects of the global green economy. The empirical results showed the existence of a positive statistically significant relationship between the GE and GDP per capita and the level of total unemployment, while there is a negative statistically significant relationship between the GE and the poverty rate in developing countries. This study recommends that both the private and public sectors continue to endorse and adopt GE in the future for SD, job creation, and poverty alleviation. The original value of the study: It is the first research for developing countries that explores the relationship between GE and SD using three indicators of SD using a GLS approach according to our information. Also, this study categorized the dataset of the developing countries based on their income level for addressing the heteroskedasticity problem.

Purpose: The purpose of this paper is to examine the dynamic linkages amongst ecological footprints, fossil fuel consumption, real income, globalization and population in Egypt in the period from 1971 to 2014.Design/methodology/approach: The paper uses fully modified ordinary least squares (FMOLS) and dynamic ordinary least squares (DOLS) methods to investigate the long run relationships amongst ecological footprints, economic growth, globalization, fossil fuel energy consumption and population. Moreover, the Toda–Yamamoto approach is conducted to examine the causal relationships between variables.Findings: Empirical results of FMOLS and DOLS methods show that real income and fossil fuel consumption are responsible for deteriorating the environment, while globalization and population are found to mitigate it. As for Toda–Yamamoto–Granger causal relationship results, unidirectional causal relation from globalization, population and fossil fuel energy consumption to the ecological footprint exists. Moreover, bidirectional causal relation between real income on the one hand and globalization and the ecological footprint on the other hand is found.Originality/value: Using carbon dioxide emissions has major weakness as carbon dioxide emissions are considered only part of the total environmental deterioration so this study is the first study for Egypt that uses the ecological footprint as an indicator for environmental quality and environmental pollution and links it with globalization, economic growth, population and fossil fuel energy consumption. Moreover, realizing the direction of causality between these variables might help policymakers in designing the policies to promote the shift towards clean energy sources, especially that achieving sustainable economic growth with more contribution to the global economy depending on diversification of energy sources without deteriorating the environment is considered one of the most important objectives of Egypt’s National Vision 2030.

This study examines the relationship between renewable electricity consumption, foreign direct investment and economic growth in Egypt. In this regard the study used Auto Regressive Distributed Lag (ARDL) bound testing approach over time series data from the period 1980 to 2011. The empirical findings show that the variables in the study are cointegrated indicating the existence of long-run relationship among them. Furthermore, renewable electricity consumption and foreign direct investment have a long-run positive effect on economic growth. Granger causality test shows that there exists unidirectional causality running from foreign direct investment to economic growth, in addition there is bidirectional causality between economic growth and renewable electricity consumption. This result supports feedback hypothesis. The stability of model was also checked at the end