Abstract
The impact of the energy transition on environmental degradation in Latin America and the Caribbean region in the period from 1990 to 2014 was investigated. A panel nonlinear autoregressive distributed lag approach in the form of an unrestricted error correction model was used. The preliminary tests indicated the presence of low-multicollinearity, cross-sectional dependence in all variables in natural logarithms, the presence of the stationarity in some variables, and the presence of fixed effects. These results are promising and adequate to advance with the model regression. The empirical results indicate that the positive and the negative asymmetry of the ratio of renewable energy to fossil energy in the short run (impacts) and long run (elasticities) has a negative impact of −0.0601 on positive variations, and −0.0792 on negative variations in the short run, and −0.0281 on positive variations and −0.0339 on negative variations, in the long run.
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