Surviving the Storms: How Climate Change Is Starving Malawi, Madagascar, Mozambique and Zimbabwe: An ARDL Modelling

This research examined the long-run effect of climate change on food security in Malawi, Madagascar, Mozambique and Zimbabwe using the Autoregressive Distributed Lag (ARDL) model. The study used nine variables for quantitative analysis using data for the four countries from the World Bank spanning from 2000 to 2023, using two models. The results were validated using the pooled mean group (PMG) estimator. The results from model 1 show that environmental temperature, fertiliser consumption, credit access, age dependency ratio, urbanisation and land size significantly affect the percentage of crop yields. The model 2 results show that all the aforementioned factors, including cereal temperature and yields, have an effect on the prevalence of malnutrition, which was a proxy for food security in this study. Furthermore, the study used the Granger causality test to indicate a unidirectional causality direction from both models’ independent variables to dependent variables. From the econometric analysis conducted, the findings highlight the urgent need for targeted interventions, such as promoting climate-resilient agriculture, expanding access to credit and social protection policies, to enhance nutritional well-being and improve resilience to climate shocks.

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Publication Details

Journal
World
Published
2026-02-26
DOI
https://doi.org/10.3390/world7030033
Primary Topic
Climate change impacts on agriculture
Type
article
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article

Surviving the Storms: How Climate Change Is Starving Malawi, Madagascar, Mozambique and Zimbabwe: An ARDL Modelling

Mwayi Mambosasa, Joseph Mahuka, Victor Limbe, Lughano Mwalughali et al.
World
Climate change impacts on agriculture
article

Surviving the Storms: How Climate Change Is Starving Malawi, Madagascar, Mozambique and Zimbabwe: An ARDL Modelling

Mwayi Mambosasa, Joseph Mahuka, Victor Limbe, Lughano Mwalughali, Sydney Nkhoma, Steven Dunga
article en

Abstract

This research examined the long-run effect of climate change on food security in Malawi, Madagascar, Mozambique and Zimbabwe using the Autoregressive Distributed Lag (ARDL) model. The study used nine variables for quantitative analysis using data for the four countries from the World Bank spanning from 2000 to 2023, using two models. The results were validated using the pooled mean group (PMG) estimator. The results from model 1 show that environmental temperature, fertiliser consumption, credit access, age dependency ratio, urbanisation and land size significantly affect the percentage of crop yields. The model 2 results show that all the aforementioned factors, including cereal temperature and yields, have an effect on the prevalence of malnutrition, which was a proxy for food security in this study. Furthermore, the study used the Granger causality test to indicate a unidirectional causality direction from both models’ independent variables to dependent variables. From the econometric analysis conducted, the findings highlight the urgent need for targeted interventions, such as promoting climate-resilient agriculture, expanding access to credit and social protection policies, to enhance nutritional well-being and improve resilience to climate shocks.

WorldVol. 7(3)
Vaal University of Technology (ZA), Mzuzu University (MW), North-West University (ZA), Lilongwe University of Agriculture and Natural Resources (MW)
Climate action
Openalex Percentile: Top 57%
Climate change impacts on agriculture
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