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This study is noteworthy because both industrial and residential sectors in Bangladesh use a significant amount of electricity for various purposes. Thus, it motivates us to examine the asymmetric impacts of electricity consumption on economic growth in Bangladesh by using the Non-linear Autoregressive Distributed Lag (NARDL) model over the annual data of 1971–2014. After confirming the long-run asymmetric cointegration between the series, the long-run result indicates that economic growth responds to electricity consumption asymmetrically in Bangladesh. The long-run result also indicates the dominant effect of negative shocks in electricity consumption over its positive shocks while affecting the economic growth in Bangladesh. Therefore, the policies to tackle the issues of economic growth unsustainability and ecological grief should not underestimate the long-run asymmetric effects of electricity consumption on economic growth in Bangladesh. • Asymmetric impacts of electricity consumption on economic growth are examined. • Employs Nonlinear-ARDL model for Bangladesh relying on annual data 1971–2014. • The study confirms the long-run asymmetric cointegration between the series. • The negative shocks in electricity use affect GDP more than its positive shocks. [ABSTRACT FROM AUTHOR]

The growing climate change debate necessitates a shift towards usage of clean energy in economic activities of developing and developed countries. However, existing studies are skeptical to consider nuclear energy as clean energy in primary energy-mix. This context addresses a question of whether top nuclear energy-consuming economies (i.e. Canada, China, France, Germany, Japan, South Korea, Sweden, Russia, and USA) have same or differential ecological footprints. This question addressed here is not yet studied, motivating us to examine the impact of nuclear energy consumption on ecological footprint in nine nuclear energy-consuming countries. This study uses novel Quantile-on-Quantile Regression (QQR) method to perform the country-specific analysis using the time series data from 1995 to 2016. The empirical findings highlight asymmetric effects of nuclear energy consumption on ecological footprints. The results evidence a strong negative impact of nuclear energy on ecological footprints for USA, Sweden, and Canada across most of the quantiles. This implies that these economies are capable of reducing their ecological footprints because of relying on nuclear energy usage. We also find that South Korea, Russia, and Japan produce the mixed impacts (positive and negative) of nuclear energy consumption on ecological footprints across most of the quantiles. Surprisingly, nuclear energy consumption fuels ecological footprints for Germany, China and France across most of the quantiles, which indicates that these countries fail to protect the health of natural environment due to nuclear energy consumption. • The impact of nuclear energy consumption on ecological footprints is examined. • Top nine nuclear energy consuming countries and data period 1995–2016 are included. • Quantile-on-Quantile Regression method is also applied to perform empirical exercise. • Asymmetric imapcts of nuclear energy use on ecological footprints are found. • Helpful policy guidelines for the abatement of ecological footprints are suggested. [ABSTRACT FROM AUTHOR]