Agriculture Nutrition Linkages In Tajikistan Evidence From Household Survey Data

In Tajikistan, the poorest country in the Central Asia region and one of the poorest in the world, food consumption patterns remain inadequate for a significant share of the population. Undernutrition and child stunting, among other outcomes, remain prevalent. At the same time, overnutrition and obesity are becoming increasingly serious. Using pooled cross-section datasets collected in 2007 and 2015 from farm households in Khatlon province (the major agricultural area in Tajikistan), we investigate how key agricultural production practices (APPs) (household-level production diversification, land productivity, and production scale) are associated with household-level and individual-level nutritional outcomes, including dietary diversity and children’s and women’s anthropometric outcomes. We find that, in rural Khatlon, these APPs are positively associated with various nutritional outcomes at the household level. Furthermore, applying the methodologies of Lee (1979), Maddala (1983), and Björklund and Moffitt (1987), we find that a different set of factors affects the unobserved returns and costs of these APPs, which are heterogeneous across households, and that, importantly, adoption of these APPs is partly driven by the expected returns. However, despite the positive gross returns, diversifying farm production or raising land productivity is costly among small and resource-poor farms. Improving their access to land and agricultural capital, as well as improving overall land productivity, with particular support to women, may be critical for enhancing their nutritional outcomes by exploiting agriculture’s linkages to such outcomes.

Household-level agriculture-nutrition linkage (ANL) tends to be strong in a rural subsistence setting with limited access to the food market. In such a context, markets for food processing services also may be imperfect, and consequently a household’s time-investments in cooking may become important. Using the primary data in Tajikistan, we show that longer periods of time dedicated to cooking by women in the household often significantly enhance household-level ANL. Furthermore, an increase in the diversity, scale, and efficiency of household production, as well as longer cooking time, can also reduce intrahousehold inequality in nutritional outcomes among women and children. These effects are stronger in areas with lower nighttime light intensity and for households with lower values of cooking assets. In a context where household-level ANL is strong, ANL may also depend on households’ self-production of complementary inputs, including cooking services. This dependence reveals both unique opportunities for and vulnerabilities of ANL for the rural poor.

Nutrition-sensitive agricultural diversification continues to receive interest among developing country stakeholders as a viable option for achieving dual goals of poverty reduction and food/nutrition security improvements. Assessing the effectiveness of this strategy is also essential in countries like Tajikistan. We attempt to enrich the evidence base in this regard. We assess the linkages between household-level agricultural diversification and dietary diversity (both household- and individual-levels) using unique panel samples of households and individual women of reproductive ages in the Khatlon province. Using difference-in-difference propensity-score methods and panel fixed-effects instrumental variable regressions, we show that higher agricultural diversification together with greater overall production per worker and land at the household level leads to higher dietary diversity, particularly in areas with poor food market access. Typology analyses and crop-specific analyses suggest that vegetables, fruits, legumes/nuts/seeds, dairy products and eggs are particularly important commodities for which a farmer’s own production contributes to dietary diversity improvement. Furthermore, decomposition exercises within the subsistence farming framework suggest that nutritional returns and costs of agricultural diversification vary across households, and expected nutritional returns may be partly driving the adoption of agricultural diversification. In other words, households’ decisions to diversify agriculture may be partly driven by potential nutritional benefits associated with enhanced direct on-farm access to diverse food items rather than farm income growth alone. Our findings underscore the importance of supporting household farm diversification in Tajikistan to support improved nutrition intake, especially among those living in remote areas. In a low-income setting with limited local employment opportunities that is vulnerable to a wide range of external shocks, this will likely continue to be one of the most straightforward and realistic paths to improving household’s nutrition resilience.

This report presents findings related to changes in household agricultural production between 2015 and 2023 in the twelve districts of Khatlon Province that constitute USAID’s Zone of Influence (ZOI). The analysis relies on household survey data from 2000 households interviewed in February-March 2023, and similar household survey data from 2000 households interviewed in February-March 2015.

Food systems are at a critical juncture—they are evolving quickly to meet growing and changing demand but are not serving everyone’s needs. Building more inclusive food systems can bring a wide range of economic and development benefits to all people, especially the poor and disadvantaged. IFPRI’s 2020 Global Food Policy Report examines the policies and investments and the growing range of tools and technologies that can promote inclusion. Chapters examine the imperative of inclusion, challenges faced by smallholders, youth, women, and conflict-affected people, and the opportunities offered by expanding agrifood value chains and national food system transformations. Critical questions addressed include: How can inclusive food systems help break the intergenerational cycle of poverty and malnutrition? \What can be done to strengthen the midstream of food value chains to improve rural access to jobs, markets, and services? Will Africa’s food systems generate sufficient jobs for the growing youth population? How can women be empowered within food system processes, from household decisions to policymaking? Can refugees and other conflict-affected people be integrated into food systems to help them rebuild their lives? How can national food system transformations contribute to greater dietary diversity, food safety, and food quality for all? Regional sections look at how inclusion can be improved around the world in 2020 and beyond. The report also presents interesting trends revealed by IFPRI’s food policy indicators and datasets.

Agriculture-nutrition linkages in developing countries remain complex and continue evolving as weather and market risks intensify due to climate change and other geopolitical and socioeconomic factors. Knowledge gaps remain regarding the exact interrelationship among these dimensions of agriculture-nutrition linkages. This study aimed to partly fill this knowledge gap by assessing how the associations between home production of various food groups and household/individual level nutritional outcomes are affected by weather anomalies and price risks of these food groups in the market, using panel data from India. Our results indicate that, generally, the associations between home production and nutritional outcomes are greater under more normal weather, with rainfall and temperature during the production season being closer to the historical median, potentially because of greater productivity realized and sufficient harvest that can be consumed throughout the year. The associations are also greater when households face greater market price fluctuations of food commodities conditional on the distance to the market, potentially because such price risks lead to reduced food purchases from the market. These effects generally hold not only during the average month but also during the lean month, indicating robustness against seasonality. These results also hold more consistently in remote areas than in areas closer to the market. Overall, our results suggest that efforts to promote nutrition-sensitive agriculture in developing countries should also consider evolving patterns of weather risks and agrifood market price risks to improve their effectiveness.