The multidimensional character of sustainable agriculture mandates a systematic examination of this concept, necessitating methodological rigor for comprehensive analysis. In line with this imperative, the formulation of the composite index for sustainable agriculture was achieved through a compound, multi–stage procedural framework. This process involved the systematic grouping of 44 indicators into a specialized set, thereby delineating distinct facets within the dimensions of environmental (comprising 20 indicators), economic (comprising 16 indicators), and social (comprising 8 indicators) domains. This study aims to establish the correlation between the advancement of sustainable agriculture and quality of life, which encapsulates the circumstances of an individual’s existence. The significance of probing this correlation lies in the fact that sustainable agriculture, rooted in the efficient utilization of natural, social, and economic resources, inherently influences the quality of life—a paramount objective in the realm of social development. The quality of life in this study is represented by the Quality–of–Life Index (QoL) computed by CEO World. To achieve the aforementioned objective, a combination of complex methodologies was employed, encompassing quantitative analyses (statistical, bibliometric) and qualitative analyses (analysis and synthesis). The outcomes reveal that a systemic approach is most suitable for researching sustainable agriculture. The assessment of sustainable agriculture through the composite index underscores the relevance of all three dimensions in its formulation. Results from the correlation analysis suggest a robust connection between sustainable agriculture and quality of life. Simultaneously, a prominent level of interdependence between GDPs per capita and sustainable agriculture is observed.

Agri-food security is an essential constituent of the national security of the Republic of Moldova, one of the most critical components of the demographic policy and the life support system, and a necessary condition for maintaining health. The specificity of the Republic of Moldova’s agricultural sector is characterized by a relatively high level of agri-food sufficiency against the background of a high degree of absolute poverty. Thus, the problem of agri-food security cannot be reduced only to the ability to maintain its dimensions, and how it can preserve and improve in the face of probable vulnerabilities must be answered. Our proposed analysis of agri-food security, viewed through the resilience lens, is crucial because of the sector’s ability to adapt and change in response to vulnerabilities. This assessment not only clarifies the drivers that can alter the dimensions of agri-food security but also highlights the key provisions of food security that can either facilitate or hinder the sector’s ability to respond to destabilizing factors. The significance of agri-food security in societal development, coupled with the existing gaps in its assurance, underscores the pressing need to re-evaluate the priorities of agri-food policy in the Republic of Moldova from a resilience perspective.

The resilience of banking systems in the face of imminent external vulnerabilities and shocks is becoming vital in the modern world. The instability of national economies and the uneven economic development of individual states, fuelled by banking speculation, cause national banking crises. The latter become part of the global financial turmoil. In this sense, forming a resilient banking system, an essential constituent of a general economic model determining the country’s future, becomes relevant. For the Republic of Moldova, creating a resilient banking system becomes a priority in joining the EU. For this, at the initial stage, it is necessary to elucidate the exogenous drivers influencing the resilience of the Moldovan banking system. In order to structure the exogenous factors after the impact level, ANOVA is applied. ANOVA allows a more profound and more accurate examination of the relationships between variables, the identification of hidden factors, and the creation of more accurate models for predicting the future values of these variables. Through ANOVA, we identified the dependencies between exogenous factors and determined which are more significant and which do not affect the resilience of the Moldovan banking system. Applying ANOVA, we determined how each of the exogenous drivers affects the resilience of banking systems, and based on the results obtained, ways to strengthen the resilience of the banking system will be further developed. These findings have practical implications for the future of the Moldovan banking system, providing a roadmap for strengthening its resilience and stability.