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This study investigates how sustainable economic development in emerging nations could be enhanced by realizing opportunities presented by the demographic dividend, the digital economy, and ensuring energy efficiency. To date, the linkage between demographic dividend, digital innovation, energy intensity, and sustainable economic growth has not been examined in detail. As such, the focus of this study is to investigate the dynamic linkages among these variables in thirty emerging economies employing advanced econometric methods utilizing panel estimations for the period of 1995–2018. Long-run results suggest that demographic dividend and digitalization stimulate sustainable economic growth in all quantiles. Moreover, energy intensity and economic sustainability are negatively associated with sustainable economic growth, while urbanization, capital formation, and industrialization are positively related. The policy implications of this study suggest that realizing the opportunities of the demographic dividend and the use of digital innovation in the energy sector will boost economic performance in the digital economy era. Furthermore, the findings lay the basis for policymakers to formulate policies better to accomplish the Sustainable Development Goals (SDGs) objectives. [Display omitted] • Demographic dividend, digitalization, and sustainable economic growth are analyzed. • Econometric approaches are used to explore the link among the variables. • Demographic dividend and digitalization enhance sustainable economic growth. • Energy intensity is negatively associated with sustainable economic growth. [ABSTRACT FROM AUTHOR]

Several studies have investigated the effect of environmental taxes on economic growth and carbon emissions. However, limited studies have quantitatively identified the connection between environmental taxes and technological innovations. The main focus of this study is to investigate the causal relations between environmental taxes and environment-related technological innovation with a holistic, robust model with significant statistical power. This model consists of panel cointegration analysis considering the cross-sectional dependence, applied to quantify the effects of environmental taxes on environment-related technological innovation in high and middle-income 42 countries from 1995 to 2018. The long-run results suggest that environmental taxes stimulate technological innovation; for example, a 1% increase in environmental taxes was found to increase environment-related technological innovation by 0.57 and 0.78% on average for high and middle-income countries using the CCEMG and AMG techniques, respectively. The policy implications of this study suggest that imposing environmental taxes can accelerate the advancement of environmental-related technologies for reducing carbon emission and sustainable development in high and middle-income nations, with possible applications in a broad range of nations, particularly as an evidence base for developing nations to shorten energy transition timelines. [Display omitted] • Econometric methods were applied to clarify the relationship between environmental taxes and technological innovation. • Builds on prior studies, employing a robust, statistically powerful approach. • Results identify that environmental taxes stimulate technological innovation in high and middle-income nations. • The proposed policy can be applied for developing nations to shorten their energy transition timelines. [ABSTRACT FROM AUTHOR]

This paper explores the impact of remittances on multidimensional energy poverty in Bangladesh by employing a nationally representative Household Income and Expenditure Survey (HIES)-2016 with a sample size of 46,080 households. Remittance is one of the sources of household income that can be utilized for energy services. Energy poverty is generally described and quantified at the household level, exposing potential household characteristics in terms of energy costs and benefits and access to energy services. Controlling for the relevant characteristics of investigated households, mixed-effect linear regression, two-stage least square, and generalized ordered logistic regression reveal that households with remittance income have a significantly lower level of multidimensional energy poverty in Bangladesh. The outcomes of this work advocate that an upsurge in remittance inflow engenders a strong contribution toward alleviating energy poverty in Bangladesh and likely in other developing nations. National programs should be established for devising policies to promote migrant workers, lowering energy costs at the household level, and investing remittance income into modern energy technologies to ensure and enhance access to clean energy sources. [Display omitted] • The link between remittances and multidimensional energy poverty is analyzed. • Multidimensional energy poverty Index is measured for Bangladesh. • Remittance inflows significantly reduce multidimensional energy poverty. • Lowering energy costs and investing remittance income into modern technologies are required to overcome energy poverty. [ABSTRACT FROM AUTHOR]