4.5 Article

Economic effects of climate change on agricultural production and productivity in Latin America and the Caribbean (LAC)

期刊

AGRICULTURAL ECONOMICS
卷 53, 期 2, 页码 321-332

出版社

WILEY
DOI: 10.1111/agec.12682

关键词

climate change; forecasting; Latin America and the Caribbean; random-parameter stochastic production frontier; total factor productivity

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Climate change is projected to have a significant impact on total factor productivity and production in Latin America and the Caribbean region, with estimated reductions in productivity and output over the period from 2015 to 2050. The study suggests that these losses could range from $14.7 to $31.4 billion USD in the LAC region, highlighting the importance of implementing effective climate adaptation strategies to mitigate these effects.
Climate projections indicate that temperatures in Latin America and the Caribbean (LAC) will rise by between 1.6 degrees C and 4 degrees C by the end of the century while changes in precipitation levels are expected to vary significantly across the region. This article estimates the impact of climate change on total factor productivity (TFP) and production. It combines data from the University of East Anglia's Climatic Research Unit (CRU), the Intergovernmental Panel on Climate Change (IPCC), and the Food and Agriculture Organization (FAO) on 28 LAC countries for a 54-year period (1961-2014) in order to inform policy makers of the cost of output losses in the absence of viable climate adaptation strategies. We use estimates of a random-parameter stochastic production frontier (SPF) model specification to capture heterogeneity in technology and partial output elasticities across countries and unobserved environmental characteristics. Results show that change in output is mainly driven by an average annual TFP growth rate of .95%. Climate change induces significant reductions (9.03-12.7%) in productivity over the 2015-2050 period. In terms of output, these losses range from USD $14.7 to $31.4 billion dollars in the LAC region, depending on the scenario and the discount rate used.

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