Food Systems’ Transformation to Address Malnutrition in Selected Countries—Panel-Data Analysis on Undernourishment and Obesity

Abstract

Global awareness of the 2030 Sustainable Development Goals (SDGs) has heightened the importance and role of food systems’ transformation in accelerating countries’ progress to achieve such goals in a timely manner. The agricultural and food systems’ transformation goal is to build resilience to vulnerabilities, shocks, and diseases such as undernourishment and obesity. The objective of this study is to specify the agricultural and food systems’ factors that contribute to reducing the impacts of undernourishment and obesity in selected populous and high-income countries. This study used panel data from 2000 to 2020, applying fixed and random-effect econometrics models to conduct the analyses. Results indicated that the per capita Gross Domestic Product (GDP), level of urbanization, and flood losses at food retail from a food systems perspective were the most influential factors in the prevalence of undernourishment. Meanwhile, the supply of fatty food was the significant nutrition variable affecting undernourishment. The cereal import dependency, per capita GDP, percentage of food imports from the value of food export, and value of domestic food production factors were the influential food system variables affecting the prevalence of obesity. Cereal import dependency and dietary energy supply are the significant factors affecting the prevalence of obesity. This study recommended a set of policy actions to address malnutrition, including sustainable and balanced food and nutrition systems’ transformation, food trade openness, and efforts to reduce adversary impacts of urbanization.

Keywords

• food system
• transformation
• panel data
• fixed and random effect model
• undernourishment
• obesity