Climate change and migration are the current trend topics in developing studies. However, there is still a lack of consensus in the specialised literature on many important issues related to the causal relationship between increasing temperature, weather anomalies and migration decisions. This is becoming more and more central in the economic literature, with critical and far-reaching policy implications. In this context, our research project consists of four main goals: i) first to identify and remove common misconceptions in the analysis on weather shocks and climate change and their impact in triggering migration phenomena; iii) to conceptualize the role of migration as an adaptive strategy in managing ex-ante climate risk to foster current vulnerability and resilience assessments; ii) to innovate the empirical analysis of the role of climate change as a push factor for migration by using the most recent econometric techniques and new machine learning algorithms; iv) to make better use of micro data from international organizations to study long-run dynamics and draw key prescriptions to inform the policymaking process.
