An assessment of the impact of supply chain risk management in food-aid distribution in Zimbabwe

Abstract

The present study sought to investigate and interrogate supply chain risks prevalent in the humanitarian sector with reference to food-aid distribution and to also assess the impact of supply chain risk management as a strategy for cost- effective food-aid distribution operations in Zimbabwe. The global increase of disasters and their devastating effects has left communities vulnerable and in need of help from Donors, humanitarian agencies and the host governments. The damage by disasters notably droughts, floods and cyclones have caused various forms of vulnerability on populations living in disaster struck countries, including Zimbabwe. The natural disasters and catastrophes have inadvertently solicited for committed investment by both local and international governments to assist those unfortunate to have been struck by disasters and their impacts. Information on disaster impacts specifically related to food-aid distribution is gathered through an analysis of risks prevalent along the food and humanitarian aid supply chain network. This information will be used by government and various humanitarian stakeholders in the formulation of strategies to mitigate disaster and supply chain risks in humanitarian aid distribution. A mixed-method approach was employed to assess the impact of supply chain risk management in food-aid distribution in Zimbabwe. A sample size of 80 Humanitarian Aid stakeholders from the District Drought Relief Committee completed structured questionnaires. The Cronbach Alpha Test showed high reliability for the scales used in the study. Furthermore, the study used information from key informants, at least fifteen (15) members from the secretariat, namely, the District Administrators, the Social Welfare officers, as well as the Zimbabwe Republic Police (ZRP) personnel who were readily available at their stations for one-on-one interviews. Five strategies, that include flexibility, collaborative, prepositioning, hedging, and governance were explored and their impact on distribution of food-aid analysed. Quantitative data was analysed using STATA (version 16). Ordinary Least Squares (OLS) regression was used to investigate the nature and magnitude of the relationship between food-aid distribution efficiency and supply chain risk factors, while also controlling for the effect of demographic variables and results were compared with those of the Tobit models as a test for robustness of the results. Qualitative data was analysed using thematic analysis derived from observations and interviews and descriptive statistics presented in tables. This study tested the robustness of the five strategies used in food-aid distribution and noted that the most commonly used strategy is insurance, followed by governance, then collaboration, flexibility, prepositioning, and financing. SIGNIFICANCE OF THE STUDY It is expected that the study will assist the Government of Zimbabwe, other governments in Southern Africa, and humanitarian aid stakeholders in the formulation of policies for the humanitarian food and non-food-aid distribution. This will lead to improved efficiency in foodaid distribution. Policy recommendations highlight the need for synergistic relationships between WFP, the Meteorological Department, Department of Social Welfare, and the Civil Protection Department. The Government of Zimbabwe should therefore create an enabling environment for stakeholder partnerships in the Humanitarian Food -Aid supply chain that should cascade to the village and community levels. Disaster interventions should not only come from National Central Government but, where necessary and feasible, should be from local community to National, building a bottom up approach in disaster mitigation strategies.