MAIZE YIELD SENSITIVITY TO CLIMATE VARIABILITY IN SOUTH AFRICA: APPLICATION OF THE ARDL-ECM APPROAC
Application of the ARDL-ECM Approach
Abstract
Climate affects crop production decisions and outcomes in agriculture. From very short-term decisions about which crops to grow, when to plant or harvest a field, to longer-term decisions about farm investments, climate can positively or negatively affect agricultural systems. Although the general effects of climate change on agriculture are broadly understood, there are limited studies that model the relationship between specific crops and climate variables. The study uses the Autoregressive Distributed Lag (ARDL) model to analyze the sensitivity of maize yield to climate variables, fertilizer use and other non-climate variables. This paper uses annual time-series data of 47 observations spanning from 1970 to 2016. The results reveal that rainfall and temperature are important maize yield drivers in South Africa. However, if excessive, they will produce negative effects. The findings of this analysis are relevant for designing long-term interventions to mitigate the effects of climate change on maize production.
Keywords
maize; climate variability; ARDL model; cointegration
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Department of Agricultural Economics, University of Limpopo, 0727, Sovenga South Africa
https://orcid.org/0000-0003-3934-8330
Agricultural Research Council South Africa
Agricultural Research Council South Africa
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