Sustainability and adaptation dynamics in Global Food Security: A Bayesian Belief Network approach

Qazi, Abroon; Al-Mhdawi, M.K.S.

doi:10.1016/j.jclepro.2024.142931

Journal of Cleaner Production

2024

DOI: 10.1016/j.jclepro.2024.142931

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Sustainability and adaptation dynamics in Global Food Security: A Bayesian Belief Network approach

Abroon Qazi,

M.K.S. Al-Mhdawi

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2024

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Cited by 6 publications

References 57 publications

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Food systems modelling to evaluate interventions for food and nutrition security in an African urban context

Hackbarth,

May,

Magaya

et al. 2024

Food Sec.

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In the context of rapidly growing African cities, a thorough understanding of the complexities of urban food systems is essential for addressing the challenges of food insecurity and undernourishment for city dwellers. Particularly in South Africa, where pre-existing inequalities drive disparities in food access and diet-related health outcomes, a comprehensive perspective including the spatial distribution of malnutrition in urban environments is required to develop effective interventions. The present study examines the essential elements of an urban food system by employing a Bayesian network as a causal framework. By integrating survey data from households and food outlets with spatial information, a food systems model was created to test policy interventions. The study demonstrates the challenges of intervening in complex urban food systems, where dietary choices are shaped by various factors, often in a spatially heterogeneous manner. Interventions do not always benefit the targeted groups and are sometimes ineffective as result of system interactions. Our study shows that Bayesian network models provide a powerful tool to effectively analyse the complex interactions within such systems, thereby enabling the identification of optimal combinations of multifactor interventions. In our case study for Worcester, South Africa, the results reveal that the largest potential for improvement of food and nutrition security lies in the informal food sector, and support for affordable and local fresh produce is a viable measure for enhancing local nutrition, though the extent of impact varies across the city.

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Food systems modelling to evaluate interventions for food and nutrition security in an African urban context

Hackbarth,

May,

Magaya

et al. 2024

Food Sec.

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Food well-being: a review of its conceptualization and measurement

Zeng,

Montesinos Sansaloni

2024

BFJ

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PurposeThis study aimed to improve understanding of the phenomenon of food well-being (FWB) (conceptualization, measurement, antecedents and outcomes) so as to lead future empirical work on measurement, development and theory testing. The hope is to improve the societal benefits of FWB and sustainable food system transformation.Design/methodology/approachA domain-based systematic review of FWB was conducted using databases (Web of Science, ABI/INFORM, EBSCO and Scopus). The well-established theory, context, characteristics and methodology framework were used to structure the review.FindingsThis study synthesized conceptual definitions and measurements of consumer FWB from hedonic, eudemonistic and mixed research streams and a nomological network that distinguishes this construct from its antecedents and outcomes.Practical implicationsThis study provides recommendations for consumers, food designers, retailers and policymakers to improve FWB.Originality/valueThis study assessed the conceptualizations of FWB from hedonic, eudemonistic and mixed perspectives for conceptual clarity. It summarized ten measurement tools for FWB-allied concepts (Well-being Related to Food Questionnaires, Satisfaction with Food-Related Life Scale and World Health Organization-Five Well-Being Index), which revealed the need for novel measurement. This study developed a holistic nomological network of FWB by identifying the categories of antecedents (food-related, consumer-related and contextual factors) and outcomes (general well-being, life satisfaction and food consumption). This study provides a research agenda for FWB measurement and theoretical development.

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Insights into food security: affordability perspectives from Bayesian belief network models

Qazi

2024

BFJ

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PurposeThis study investigates the dependencies between the Global Food Security Index (GFSI) and its affordability-related indicators using Bayesian belief network (BBN) models. The research also aims to prioritise these indicators within a probabilistic network setting.Design/methodology/approachThe research utilises BBN models to analyse data from 113 countries in 2022. Nine indicators related to food affordability, including income inequality, safety net programmes and trade freedom, are examined to understand their impact on food security. The methodology involves statistical modelling and analysis to identify critical factors influencing food security and to provide a comprehensive understanding of the global food affordability landscape.FindingsThe study reveals that income inequality, the presence and efficacy of safety net programmes and the degree of trade freedom are significant determinants of food affordability and overall food security outcomes. The analysis reveals marked disparities in performance across different countries, highlighting the need for context-specific interventions. The findings suggest that improving safety net programmes, implementing trade policy reforms and addressing income inequality are crucial for enhancing food affordability and security.Originality/valueThis research contributes to the literature by using BBN models to comprehensively analyse the relationship between the GFSI and affordability-related indicators. The study provides novel insights into how different socioeconomic factors influence food security across a diverse range of countries. The study offers actionable recommendations for policymakers to address food security challenges effectively, thereby supporting the development of more equitable and resilient food systems globally.

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Sustainability and adaptation dynamics in Global Food Security: A Bayesian Belief Network approach

Cited by 6 publications

References 57 publications

Food systems modelling to evaluate interventions for food and nutrition security in an African urban context

Food systems modelling to evaluate interventions for food and nutrition security in an African urban context

Food well-being: a review of its conceptualization and measurement

Insights into food security: affordability perspectives from Bayesian belief network models

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