Commonly, resilience against external shocks is treated as a household or community capacity. Resiliency against food insecurity is of particular importance for rural household under the impression of recent price surges and supply chain disruptions. The aim of this paper is to analyze the effect of household resilience capacity on food security outcomes in Kyrgyzstan, using individual, household and community datasets of the “Life in Kyrgyzstan” panel survey for several waves from 2011 to 2016. Firstly, a resilience capacity index to food insecurity was estimated through key determinants or pillars under the Resilience Index Measurement and Analysis (RIMA) II methodology, while latent analysis was used to classify shocks. The effect of resilience capacity on food security outcomes was estimated along an instrumental variable approach. Our results suggest that resilience capacity serves to improve food security status and decrease the proneness of households to suffering from food insecurity in the presence of shocks. Furthermore, the interaction between resilience capacity and shocks was included to explain whether the negative effect of the shocks is weakened by resilience. The findings confirm that resilience capacity is able to mitigate the adverse effects of shocks on food security outcomes; moreover, it is sufficient to resist a decline in food security. Following the large contributions of social safety nets and adaptive capacity to the resilience capacity index, policy efforts should be focused on increasing income generating capacity, networking, migration, and education level of households to strengthen resilience to food insecurity.

The Russian import ban on Western food products has stimulated a discussion about whether and how countries in Central Asia and Caucasus might benefit from this political decision by expanding their agrifood exports to Russia. Given this background, our study compares farmers’ willingness to participate in export markets in Armenia and Uzbekistan. Discussions are based on the analysis of surveys of 400 farmers from each country conducted in the spring of 2015. The results show that farmers already participating in local markets have a higher motivation to engage in the production of exportable commodities when a sudden export opportunity emerges. Beyond this general finding, the relative importance of farm and infrastructure characteristics were identified under different commercialization levels. Although both types of factors have been identified as important determinants in the existing literature, our analysis provides further evidence. We demonstrate that variables related to farm characteristics play a rather crucial role in more subsistence-oriented small-scale farming systems as found in the case of Armenia. In contrast, infrastructure may become more important than farm endowments in more commercially oriented farming systems such as observed in Uzbekistan.

Post-Soviet countries have still been experiencing a transition in governance and institutional performance. However, such transitions are not always explained by citizens' high institutional trust, reflecting on their subjective well-being. One of the objectives of the study is to identify a typology of institutional trust using a post-Soviet context. We use the Life in Transition dataset by the European Bank for Reconstruction and Development for twelve transitional countries. We apply a three-step approach for Latent Profile Analysis (LPA) in the estimation strategy. Using LPA with 11-item scale questions for subjective well-being, we obtain “Low Satisfaction”, “Medium Satisfaction”, and “High Satisfaction” homogenous profiles. Using Principal Component Analysis (PCA) with 14 personal statements, we also measure institutional trust towards the performance of institutions. The relationship between institutional trust and life satisfaction profiles indicates that the "Medium Satisfaction" and "High Satisfaction" classes, compared to the "Low Satisfaction" profiles, are positively associated with higher institutional trust. We also analyse the effect of institutional trust on life satisfaction through corruption. The findings confirm a positive effect of institutional trust on life satisfaction.

Deficit irrigation could be considered as one potential option to improve water productivity and obtain some level of assured income under water scarcity and drought conditions in Central Asia. This article investigates water productivity and economic returns to two varieties of potato crop under four different soil-moisture regimes in Uzbekistan. Results suggest that deficit irrigation may not be considered as an option to improve water productivity of potato crop, particularly when the deficit is high. However, deficit irrigation options could be still considered as a viable option to maintain food security and some assured farm income even under extreme drought conditions.

Unprecedented climate change, socio-economic shocks, and political conflict exacerbate food insecurity. Worsened conditions and increased vulnerability now give prominence to improving farm resilience to withstand shocks. This article aims to analyse the effect of farm resilience on food security outcomes in Tajikistan. Using panel data collected in 12 districts in the Khatlon Province of Tajikistan from 2015 to 2023, the study has the following. (a) measure farm resilience determinants (pillars) through adaptive capacity, transformation capacity, and robustness; (b) estimate the relationship between resilience pillars and food security outcomes; (c) cluster farm households based on the level of resilience pillars; and (d) estimate the effect of farm resilience on food security outcomes. The study first measures farm resilience pillars using Principal Component Analysis (PCA). Next, Latent Profile Analysis (LPA) is used to classify farm households into three resilience categories: “Low Resilience”, “Medium Resilience”, and “High Resilience”. The estimation strategy involves making causal claims using LPA and Propensity Score Matching (PSM) techniques. Our results suggest a positive relationship between farm resilience and food security outcomes. Our findings also confirm that “High Resilience” and “Medium Resilience” profiles experience better dietary diversity, higher fruit and vegetable consumption, or decreased household hunger, compared to the “Low Resilience” profile. Such a positive relationship underlines the importance of strengthening farm resilience. Further development agendas for Tajikistan should consider resilience thinking, especially in shock-prone zones. Objectives: (a) measure farm resilience determinants (pillars) through adaptive capacity, transformation capacity, and robustness; (b) estimate the relationship between resilience pillars and food security outcomes; (c) cluster farm households based on the level of resilience pillars; and (d) estimate the effect of farm resilience on food security outcomes. The study first measures farm resilience pillars using Principal Component Analysis (PCA). Next, Latent Profile Analysis (LPA) is used to classify farm households into three resilience categories: “Low Resilience”, “Medium Resilience”, and “High Resilience”. The estimation strategy involves making causal claims using LPA and Propensity Score Matching (PSM) techniques. Our results suggest a positive relationship between farm resilience and food security outcomes. Our findings also confirm that “High Resilience” and “Medium Resilience” profiles experience better dietary diversity, higher fruit and vegetable consumption, or decreased household hunger, compared to the “Low Resilience” profile. Such a positive relationship underlines the importance of strengthening farm resilience. Further development agendas for Tajikistan should consider resilience thinking, especially in shock-prone zones.