Resilience Thresholds to Temperature Anomalies: A Long-run Test for Rural Tanzania

Abstract

The existence of thresholds constitutes an important frontier topic for resilience analysis and measurement. This paper contributes to the literature by identifying critical resilience thresholds below which rural Tanzanian households are unable to absorb the negative effects of temperature anomalies on long-run growth. To make up for the lack of long micro panels, we generate a synthetic panel covering the time span 2000 -2013. We show that 25%-47 % of households in our sample lie below the estimated thresholds. The evidence of resilience-driven regime shifts and non-linear dynamics has important implications for adaptation to climate change in developing countries and is of significant interest for policy interventions.

Achieving a Climate-Change Resilient Farming System through Push–Pull Technology: Evidence from Maize Farming Systems in Ethiopia

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Predicting household resilience with machine learning: preliminary cross-country tests

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