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This study aims to provide insights into the decoupling of GDP growth and greenhouse gas (GHG) emissions in Morocco, a developing country with the ambitious goals of reducing GHG and strongly vulnerable to the negative effects of climate change. The Engle-Granger cointegration method was used in addition to the Tapio elastic analysis based on annual time series data from 1990 to 2018. The cointegration test indicates a significant long-term relationship between greenhouse gas emissions and Gross Domestic Product with a coefficient equal to 0.85. On the other hand, Tapio's decoupling index method presents mixed results both by pollutant and by time period. Nevertheless, total greenhouse gas emissions, with a decoupling index valued at 0.7, exhibit a weak impact decoupling throughout the entire sample period wherein emissions continue to grow at a lower rate than the Gross Domestic Product. The findings are coherent with the view that more aggressive carbon pricing initiatives (CPI) policies will likely be necessary to achieve the ambitious goals set by the Moroccan government to achieve absolute decoupling. [Display omitted] • Engle-Granger cointegration and Tapio's elastic analysis to study decoupling. • One of the first decoupling studies done for North Africa particularly Morocco. • Long-term relationship found between Gross Domestic Product and greenhouse gases. • Weak decoupling state was the most frequent in Morocco between 1990 and 2018. • Need for more aggressive policies such as carbon pricing initiatives (CPI). [ABSTRACT FROM AUTHOR]

This study evaluates the potential impact of promoting non-fossil fuel energy on India's economic growth in a regime based non-linear asymmetric framework. The empirical outcomes affirm regime-shift and asymmetric cointegrating links of the non-fossil fuel energy usage represented by combustible renewables & waste (CREW) and alternative & nuclear energy (ANEN) with the gross domestic product (GDP). The study establishes the existence of threshold cointegration between CREW and GDP. The causal links between CREW and GDP are regime variant and asymmetric, whereas the dynamics between ANEN and GDP are proven to be asymmetric and regime invariant. CREW and GDP supports a feedback hypothesis in a normal regime and a conservation hypothesis in a rare regime. The asymmetric causality between CREW and GDP validates an inverse feedback hypothesis and a negative growth hypothesis. A negative growth hypothesis is also ascertained between ANEN and GDP. The empirical findings convey meaningful insights for government and policymakers. • Examines the link between non-fossil fuel energy and economic activity in India. • Regime shifts, threshold and asymmetric cointegration found. • Feedback hypothesis in a normal regime is demonstrated in long run. • Positive change in combustible renewables & waste causes economic growth adversely. • Negative changes in alternative & nuclear energy drives positive economic growth. [ABSTRACT FROM AUTHOR]