Sustainable agriculture has been a focus of research for over three decades, gaining particular urgency with the escalation of global conflicts, especially the Russian–Ukrainian war. Selecting appropriate parameters for objectively assessing sustainable agricultural development remains challenging, with limited studies addressing the aggregation of all relevant indicators into a single analytical framework. Given that these indicators and their quantitative values change annually, continuous updating and analysis are essential. This study was guided by selected SALSA/PRISMA principles to structure the indicator-selection process for examining Ukraine’s agricultural sector, which is vital to both national and global food security and accounts for approximately 10% of GDP, more than 50% of exports, and nearly 17% of employment. Alongside climate change pressures, the sector faces severe disruption from military aggression, undermining its economic contribution and stability. This research identifies and selects the most relevant economic, ecological, and social indicators to assess sustainable agricultural development in Ukraine, comparing values before and during the war. Based on these, this study proposes the Sustainable Agriculture Index (ISA), an aggregated measure that integrates multiple dimensions of sustainability. The ISA was calculated using a normalized weighted aggregation approach across economic, environmental, and social indicators. This approach enables a comprehensive evaluation of Ukraine’s agricultural resilience and its capacity to contribute to sustainable development under crisis conditions.
Building similarity graph...
Analyzing shared references across papers
Loading...
О. Demyanyuk
National Academy of Agrarian Sciences of Ukraine
Andrii Shatkovskyi
National Academy of Agrarian Sciences of Ukraine
Oleksandr Demіanіuk
National Academy of Agrarian Sciences of Ukraine
Sustainability
University of Coimbra
National Academy of Agrarian Sciences of Ukraine
Building similarity graph...
Analyzing shared references across papers
Loading...
Demyanyuk et al. (Thu,) studied this question.
synapsesocial.com/papers/6a23bc5171a5da9775e77b23 — DOI: https://doi.org/10.3390/su18115722