Are SACU countries self-sufficient in cereals? A dynamic panel analysis

Bach, H J Sartorius von; Kalundu, K. M.

doi:10.1080/03031853.2022.2052124

Cited by 3 publications

(2 citation statements)

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“…The present study is limited to explanatory variables such as daily Tmax, Tmin, and precipitation which are most extensively used in climate-crop studies [58, 54,49]. However, the additional data on hourly temperature, hours of sunlight, wind speed, and humidity that was not available, may provide a better conceptual insight into the crop-climate link.…”

Section: Limitations Of the Studymentioning

confidence: 99%

“…The present study has used a panel dataset, often called cross-sectional or longitudinal time series data that comprises data of every variable repeating across the time series [46]. The panel dataset has been widely utilized in past crop-climate studies [47,48,49,50]. A minimum 30 years timeframe is suggested to adequately depict climatic uctuations to the ner level [51], and the panel data model requires a continuous dataset [52].…”

Section: Datamentioning

confidence: 99%

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Crop-climate link in the southeastern USA: A case study on Oats and Sorghum

Sharma

Dhillon

Kumar

et al. 2022

Preprint

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Recognizing the crop and region-specific irreversible effects of climate change on agriculture is unavoidable. The Southeastern United States region (SE-US) contributes significantly to the United States (US) economy through its diverse agricultural productivity. Climatically, this region is more vulnerable than the rest of the country. This study was designed to quantify the effect of changing climate, i.e., daily maximum temperature (Tmax), daily minimum temperature (Tmin), and precipitation, on oats (Avena sativa L.) and sorghum (Sorghum bicolor L. Moench) in SE-US. The panel data approach with a fixed effects model was applied by creating a production function on a panel dataset (1980–2020) of climate and yield variables. The required diagnostic tests were used to statistically confirm that the dataset was free of multi-collinearity, stationarity, and auto-correlation issues. The results revealed asymmetric warmings (Tmin increase > Tmax increase) over the region. Tmax and Tmin significantly increased during the oats growing season (OGS) and sorghum growing season (SGS). Precipitation increased during OGS and decreased during SGS. The annual average values of Tmax, Tmin, and Tavg (daily average temperature) have shifted by 1.08°C (0.027°C/year), 1.32°C (0.033°C/year), and 1.20°C (0.030°C/year) in OGS and by 0.92°C (0.023°C/year), 1.32°C (0.033°C/year), and 1.12°C (0.028°C/year) in SGS. However, precipitation had shifted by 23.2 mm (0.58 mm/year) in OGS and shifted (decreased) by -5.2 mm (-0.13 mm/year) in SGS. Precipitation had a non-significant effect on oats and sorghum yields. With every 1°C increase in Tmin and Tmax, oats yield was reduced by (-5%) and (-4%), respectively, whereas sorghum yield was increased by (+ 13%) and decreased by (-7%), respectively. Taken together, a 1°C net rise in overall temperature reduced oats yield (-9%) while increased sorghum yield (+ 6%).

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Section: Limitations Of the Studymentioning

confidence: 99%