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Evaluation of the shifts in the South African cotton industry

dataset
posted on 21.07.2022, 13:55 authored by Dipuo BoshomaneDipuo Boshomane

The empirical output dataset was obtained from analysing the relative effects of price and industry interventions on area by employing autoregressive distributed lag (ARDL) and Engle-Granger cointegration procedures on R software. The data were first analysed for econometric properties (unit root tests) and some equations were run on RStudio using the cointegration procedures.

The secondary data was collected from public websites, namely Cotton SA and Food and Agricultural Organisation (FAO). The secondary dataset includes the cotton area and statistics used in the study to evaluate the shifts in South African cotton area planted over time as a result of price and local industry interventions. 



History

Department/Unit

Agricultural Economics