Seasonal variability of women's dietary diversity and food supply: a cohort study in rural Burkina Faso.

OBJECTIVE: To investigate the seasonal variations of women's dietary diversity (WDD) (items consumed and food supply) and its linkages with agriculture, market and wild resources. DESIGN: A cohort of 300 women was followed-up over a year to investigate WDD and food sources (production, purchase or foraging). Monthly qualitative 24 h recalls allowed computing WDD Scores from a standard 10-food groups (FG) classification (WDDS-10). Associations between farm/women's characteristics and WDDS-10 were investigated using multivariate mixed models including interaction terms factor*months. SETTING: Tuy province, Burkina Faso. PARTICIPANTS: 300 women of reproductive age. RESULTS: Both dietary diversity and food sources were seasonal. The mean WDDS-10 was relatively stable from August to January (ranging from 3·1 to 3·5 FG) when farm production predominated. The WDDS-10 gradually increased from February, concomitantly with an increase in food purchases (onions, tomatoes, mangoes) and reached its highest levels (>4 FG) from March to June, when food purchases were still relatively high and when more women consumed foraged fruits (shea plums and wild grapes). Women living on farms owning > 3 plough oxen and different animal species had significantly higher WDDS-10 than others (+0·28 and +0·35 FG, respectively). Women who practiced off-farm activities also had higher WDDS-10 than those who did not (+0·21 FG, P < 0·05). Other factors, for example, the number of foraged edible species, provided advantages in terms of dietary diversity only during certain seasons (October - January, P for interaction < 0·01). CONCLUSIONS: Diversifying women's diets throughout the year requires complementary interventions aimed at diversifying production, promoting foraging and increasing income-generating activities to enable food purchasing.

Agrarian change, livelihood dynamics and welfare outcomes: Evidence from plantation crop farmers in Indonesia.

In the tropical belt of Africa, Asia, and the Americas, smallholder farming is undergoing a significant transformation from subsistence-oriented to highly specialized and market-oriented plantation systems. While understanding the transition of livelihoods of plantation farm households over time is an important development goal, available empirical evidence is scant. This study provides the first quantitative evidence on the dynamics, transitions, and determinants of livelihood strategies linked to the crop choices of commercial farm households in the tropics. We use three-wave panel data of oil palm and rubber farmers from Indonesia for the empirics. Particular emphasis is placed on the trade-offs smallholders face in growing these two crops. Employing the dynamic livelihood strategy framework and Latent Markov Model estimations, we reveal that even highly specialized farm households pursue diversified livelihood strategies, and they actively switch between the identified strategies. Over time, significant changes are observed in the composition of strategies, which continue to be dominated by oil palm-oriented and off-farm-based activities. Inter alia, climate anomalies and a decline in oil palm and rubber prices influence the dynamics and trajectories of the livelihood strategies. We also find that a larger farm size possibly hinders households' labor allocation to more remunerative off-farm activities, implying that possessing a larger farm-land alone may not suffice for improving farmers' wellbeing. We conclude by discussing the generalizability of our findings and providing implications for future research and policymaking.

Husband and Wife Perspectives on Farm Household Decision-making Authority and Evidence on Intra-household Accord in Rural Tanzania.

We use OLS and logistic regression to investigate variation in husband and wife perspectives on the division of authority over agriculture-related decisions within households in rural Tanzania. Using original data from husbands and wives (interviewed separately) in 1,851 Tanzanian households, the analysis examines differences in the wife's authority over 13 household and farming decisions. The study finds that the level of decision-making authority allocated to wives by their husbands, and the authority allocated by wives to themselves, both vary significantly across households. In addition to commonly considered assets such as women's age and education, in rural agricultural households women's health and labor activities also appear to matter for perceptions of authority. We also find husbands and wives interviewed separately frequently disagree with each other over who holds authority over key farming, family, and livelihood decisions. Further, the results of OLS and logistic regression suggest that even after controlling for various individual, household, and regional characteristics, husband and wife claims to decision-making authority continue to vary systematically by decision-suggesting that decision characteristics themselves also matter. The absence of spousal agreement over the allocation of authority (i.e., a lack of "intra-household accord") over different farm and household decisions is problematic for interventions seeking to use survey data to develop and inform strategies for reducing gender inequalities or empowering women in rural agricultural households. Findings provide policy and program insights into when studies interviewing only a single spouse or considering only a single decision may inaccurately characterize intra-household decision-making dynamics.

Evidence on Milk Consumption and Production Linkages from Rural Bihar, India.

Background: Milk is an important source of protein for many Indian households. However, milk intake is very low. Hence, it is necessary to examine production-consumption linkages of milk within the paradigm of accessibility, availability, and affordability. Objectives: This study examined linkages between milk consumption and production, accounting for sales and factors associated with production investments in rural Bihar, a major milk-producing state of India with very poor nutritional status. Methods: A panel of households from the Gaya and Nalanda districts of Bihar were surveyed: the first round in July and August 2019 (n = 2026 households) and the second round from December 2019 to January 2020 (n = 2001 households). Data were collected on household consumption, production, and sale of milk, as well as other foods. The study examines the consumption-production linkage of milk and the association of dietary diversity with consumption from own production, with households as the unit of analysis. Ordinary least square regression analysis of average monthly household milk consumption was used to identify factors associated with milk consumption, particularly milk production. Results: The median (Quartile 1, Quartile 3) per capita milk consumption per day was 83.3 (41.6, 166.6) mL in the milk-consuming households. Average monthly household milk consumption in liters was higher in milk-producing households [ß: 7.1; 95% confidence interval (CI): 6.1, 8.1] than households relying on market purchases. Household milk consumption was higher in the third tertile of milk production than the first tertile of production (ß: 14.3 L/wk; 95% CI: 12.1, 17.2) and lower in the highest tertile of household sale quantity (ß: -8.8 L/wk in tertile 3, 95% CI: -12.7, -5) than the first tertile of household sale quantity of milk. Conclusions: The study provides evidence that consumption of milk in rural households is associated with own production such that households with higher production consume more. However, sale preferences restrict the quantity of milk consumed in milk-producing households.

Epidemiological and economic consequences of lumpy skin disease outbreaks on farm households in Khyber Pakhtunkhwa, Pakistan.

The livestock sector plays a crucial role in sustaining the livelihoods of millions of families across the world, especially in developing countries. However, farming households that rely on agriculture and livestock are particularly susceptible to the impacts of various infectious diseases and natural disasters. This study focuses on estimating the economic burden imposed on households by lumpy skin disease (LSD) in Pakistan and explores the effect of various socioeconomic factors on mortality ratio. Data were collected through a questionnaire survey from 406 farmers and were analyzed through descriptive statistics to calculate the monetary losses. In addition, the study employed fractional probit regression to identify factors affecting mortality ratio. The results demonstrate significant economic impacts of LSD on farm households in Pakistan, leading to direct and indirect losses and reduced milk productivity. Exotic cows were found to be more susceptible to mortality compared to indigenous cows. The study also found that farmers' education, experience, household income per month, vaccination, domestic-commercial, commercial animals, and access to information were negatively associated with mortality. The findings of this study emphasize the need for preventative measures such as affordable vaccines, treatment, and improved livestock health and welfare to mitigate the negative effects of LSD on farmers' income and the local economy.

Dietary diversity, nutritional status, and agricultural commercialization: evidence from adult men of rural farm households.

Access to healthy and affordable diet hinged on the realization of Sustainable Development Goal 2, higher productivity and, economic prosperity while it is difficult for a poorly nourished people to achieve optimum production of goods and services. This study assessed whether dietary diversity (DD) and nutritional status of adult men are associated with crop commercialization index (CCI) levels of agricultural households in two states of Southwestern Nigeria. This research utilized 352 farm households, comprising 277 adult male members. The individual version of dietary diversity score (DDS) of 9 food groups was used to calculate adult men's DDS over a 24-h recall. Anthropometric data was obtained using body mass index (BMI) while CCI levels was estimated for each agricultural household. Logistic regression and ordered logit models were used to examine the determinants of adult men's dietary diversity and nutritional status respectively. Hundred percent of adult men consumed starchy staples, with 11.2% consuming egg, 5.8% milk and milk products and 0.4% consuming organ meat over 24-h recall. Adult men of CCI 2 and CCI 4 agricultural households recorded overweight prevalence of >20% in Ogun state while the association between DDS and CCI was statistically insignificant suggesting that being a member of any of the CCI households may not guarantee the consumption of healthy diets among adult men. From Logit regression analysis, it is more likely for adult men with higher farm size to attain the minimum DDS of 4 food groups than those with smaller size of farmland (OR = 4.78; 95% CI: 1.94, 11.76; p = 0.001). The age, farm experience, and cassava marketing experience were positively related to the likelihood of obtaining the minimum DDS. For adult men to achieve a healthy diet, their diet pattern must incorporate a more diversified intake of food from different food groups capable of improving their nutritional status. This study emphasized the need for relevant stakeholders to provide adequate nutrition knowledge intervention programmes capable of improving the diets and nutrition of adult men and other members of farm households.

Dietary Diversity of Women across Agricultural Seasons in the Kapchorwa District, Uganda: Results from a Cohort Study.

Small-holder farm households in developing countries mainly depend on rain-fed agriculture activities, thus seasonality affects eating habits and contributes to micronutrient deficiencies. This study assessed women's dietary diversity score (WDDS) across three agricultural seasons in the Kapchorwa District, Uganda. In each season, 445 women with under five-year-old children from small-holder farm households were interviewed on socio-demographic characteristics as well as dietary practices between May 2016 and January 2017. Linear regression models estimated differences in WDDS across seasons. The mean WDDS at the lean, harvest and post-harvest seasons was 4.33 ± 1.21, 4.63 ± 1.30 and 4.36 ± 1.21, respectively. Mean WDDS was higher in urban regions across all seasons. Women in urban regions generated more income through off-farm activities, had better access to markets and consumed significantly more 'meat, poultry and fish' (p < 0.001), dairy products (p < 0.05), 'vitamin A-rich fruits and vegetables' (p < 0.001) and 'other vegetables' (p < 0.001) during the lean season, whilst rural women ate more dark green leafy vegetables (p < 0.001) during the same period. Poorer households in the rural setting were more likely to be affected by seasonally limited food availability and accessibility. Hence, strengthening the linkages between market participation, agricultural activities, improved food storage and preservation techniques and dietary intake is recommended.

Does a Traceability System Help to Regulate Pig Farm Households' Veterinary Drug Use Behavior? Evidence from Pig Farms in China.

In China, there is a renewed interest in traceability systems as an efficient tool to guarantee pork safety. One of the pathways through which a traceability system can benefit consumers is by easing information asymmetry. However, past literature on the traceability system in China pays more attention to theoretical analysis and less to empirical analysis. Using a large-scale survey of pig farms in China, we investigate the effects influencing farmers' participation in the traceability system. Findings show that a traceability system can influence the safety of pork indirectly through its impacts on farmers' production behaviors. Another important finding is that unsafe pork is a result of non-standard use of veterinary drugs, and the traceability system works well for farmers by pushing them to take stricter safety measurements.

Linking farm production diversity to household dietary diversity controlling market access and agricultural technology usage: evidence from Noakhali district, Bangladesh.

BACKGROUND AND OBJECTIVE: Diversified agricultural production is considered a means to enhance food diversity at the household level, particularly in developing countries where subsistence farming is common. Given the importance of a diversified diet for human health and the persistent malnutrition problem in Bangladesh, a pressing issue is how different crops and livestock production affect household food diversification, and this study sought to answer that question. METHODS: Using a multistage sampling procedure, data were collected from 190 small farm holder households from Hatiya (a coastal rural sub-district of Noakhali, Bangladesh). Farm production diversity (FPD) is measured using the household biodiversity index (HBI), a simple count of all crops and livestock produced on the farm. The household dietary diversity score (HDDS) is calculated, according to Food and Agriculture Organization (FAO) guidelines, by counting 12 food groups consumed by the households in the last 24 h preceding the survey. RESULTS: On average, households consumed 6.49 food groups during the reference day, according to the household biodiversity index (HBI). The generalized Poisson log-linear regression results indicated that farm production diversity had a positive association with HDDS; one group of farm production increased the household dietary diversity (HDD) by 0.084 unit [ß: 0.084, 95% CI: 0.064, 0.106; Exp (B): 1.087], an 8.7% increase in dietary diversity. Total land size, less time to reach the district market, and improved irrigation process affect dietary diversity in bivariate analysis. Farmer's reliance on production diversity reduces when the market is more accessible and improved irrigation is used for production. CONCLUSION: Smallholder farm households in Bangladesh could benefit from context-specific, food-based nutrition-sensitive agriculture policies that focus on triangulation of diversified production, greater market access, and updated agricultural technology utilization.

Dietary diversity, environment and health-related factors of under-five children: evidence from cassava commercialization households in rural South-West Nigeria.

Diverse and quality diets are crucial to sustainable growth and development of under-five children, especially those of rural farming households. This study investigated the dietary diversity, environment, and health-related factors of young children. The study employed the use of cross-sectional survey data from 140 under-five children of cassava farming households in Ogun and Oyo states, South-West Nigeria. The study estimated factors influencing dietary diversity of under-five children and assessed children dietary diversity, and the availability of some environment and health-related factors of the farming households. The findings indicated that 98.7% and 97.5% of children consumed grains, with roots and tubers while 36.7% and 36.3% consumed legumes in Ogun and Oyo states respectively. The results also found that 48.6% of children sampled met the minimum cut-off point of 4 food groups with dietary diversity mean score of 3.28. The logit regression analysis indicated that child's age, mothers' age, distance to farm, and food expenditure were among the significant determinants of children dietary diversity. Therefore, this study seeks the collaborative efforts of stakeholders in providing nutrition-sensitive intervention programs for household members, especially mothers and young children in order to promote consumption of diversified diets and enhance healthy living of rural farming households.

Nutrition Outcomes of Under-five Children of Smallholder Farm Households: Do Higher Commercialization Levels Lead to Better Nutritional Status?

The study investigated the nutritional status of under-five children of farm households. The study utilized primary data from 352 farm households with 140 under-five children. Household crop commercialization index (CCI) was used to estimate cassava farm household crop sale ratio and categorize the households into four commercialization levels while WHO Anthro software was employed to analyze under-five children anthropometric indices such as weight-for-age z-score (WAZ), height-for-age z-score (HAZ) and weight-for-height z-score (WHZ). Logit regression model (LRM) was used to examine the drivers of under-five children's nutritional status of farm households. The study found that 42.9%, 7.9% and 3.6% of the children are stunted, underweight and wasted respectively. The highest stunting level was recorded in zero level households (CCI 1). Although, some higher CCI households (medium-high and very-high level) recorded increased percent of stunted children. This revealed that being a member of low or high-level commercialization households may not guarantee better nutritional status of young children of farm households. The results of LRM indicated that the predictors of children nutritional status were child's age, farm size, access to electricity, healthcare and commercialization variables. Moreover, weak positive and negative relationships exist between CCI and children's nutrition outcomes as measured by the z-scores. The study recommended maternal nutrition-sensitive education intervention that can improve nutrition knowledge of mothers and provision of infrastructure that enhance increased farm production and promote healthy living among farm households.

Investigating food insecurity, health and environment-related factors, and agricultural commercialization in Southwestern Nigeria: evidence from smallholder farming households.

Hunger and food insecurity remained some of the serious challenges facing our world in present time with great concerns from Sub-Saharan Africa especially countries like Nigeria. This study investigates food insecurity (FI), health and environment-related factors, and agricultural commercialization among smallholder farm households. This study was conducted in Southwestern Nigeria utilizing cross-sectional survey data from 352 farm households and employed multi-stage sampling procedure. The household FI levels was determined using food insecurity access scale (HFIAS), crop commercialization index (CCI) was used to compute each household's CCI (four levels), while ordered logit model was used to analyse factors influencing FI. Health and environment-related factors' access were assessed across each FI category. The results indicated that about 13% of cassava farm households are non-participant in the marketing of their produce. The findings revealed that less than 20%, 30%. and 40% of households in all four FI categories had access to piped water, improved toilet facilities, and electricity respectively. The ordered logit regression analysis indicated that age, gender, education level, farm experience, nonfarm income, and ownership of motorcycle significantly influencing FI in the study areas. Therefore, this study stressed the implementation of policy actions capable of promoting rural infrastructure development that will lead to increased agricultural production, marketing, and improved quality of life of rural dwellers.

Livelihood diversification in managing catastrophic risks: evidence from flood-disaster regions of Khyber Pakhtunkhwa Province of Pakistan.

Pakistan's agricultural productivity is considered to be low despite several agriculture promotion policies. Such policies concentrate primarily on on-farm development and overlook rich prospects for off-farm diversification. Livelihood diversification of small-scale farmers plays a major role in reducing hunger and mitigating the adverse impacts of climate change. Therefore, this paper seeks to analyze livelihood diversification in managing catastrophic risks among rural farm households of Khyber Pakhtunkhwa Province of Pakistan. We have interviewed a total of 600 farm households through a standardized questionnaire in two districts (Nowshera and Charsadda) of Khyber Pakhtunkhwa Province of Pakistan that were badly affected by the 2010 flood. For empirical analysis, a logistic regression model was chosen to analyze the important attributes that are correlated to livelihood diversification of the rural households in flood-susceptible areas of Pakistan. The survey findings indicate that 50% of the total sample respondents adopted off-farm livelihood diversification strategies, while 40.5% of farm households adopted on-farm livelihood diversification strategies in managing catastrophic risks. The logistic regression model results show that attributes including socioeconomic and demographic, institutional, and risk perception significantly influenced households' choices of livelihood diversification. Also, the findings indicated a wide range of livelihood diversification constrained including climatic risks and uncertainties (23%), inadequate natural resources (17%), limited level of skills and training (15%), lack of institutional support (12%), lack of credit facilities (11%), poor infrastructure including markets and roads (16%), and lack of labor availability (4%). The study urges the need for robust climate change adaptation policies, in particular, by aiming at training initiatives, improving access to services, and enhancing institutional assistance, and better infrastructure. The livelihood of small-scale farmers could only improve if the Government pays due consideration and adopts the right policy initiatives that promote the diversification of livelihoods as part of the creation of national jobs to save many lives and improve livelihoods.

Climate change-induced human conflicts and economic costs in Pakistani Punjab.

Understanding causes of interpersonal conflicts, related costs, and the effects on investment in agriculture are important concerns of social sciences. The present study was designed to explore these aspects in relation to climate change, since rising temperature and precipitation are considered crucial causal factors in fueling interpersonal conflicts. The study used cross-sectional data collected from rural farm households from a large district of Pakistani Punjab. Cost of conflicts was estimated using standard economic methods whereas factors affecting interpersonal conflicts were estimated through employing logit model. The study found that interpersonal conflicts cost US$135 per month for following the proceedings of the conflicts filed in the court. Households involved in conflicts spent significantly very few resources in purchasing farm inputs which in turn declined productivity of maize (28%) and sugarcane (19%). Warm temperature, precipitation, and windstorm were perceived by households as causal factors for interpersonal conflicts. Socioeconomic characteristics namely, farm size, livestock, family size, and high monthly income of household, were significantly associated with interpersonal conflicts. The study concludes important policy implications.

Farm household access to agricultural services in northern Ghana.

Access to agricultural services promotes agricultural production and livelihoods of smallholders in most developing countries. This study explores the factors affecting smallholders' access to agricultural services in northern Ghana. The study relied on survey data for the analysis. We estimated a multivariate probit model to assess the factors influencing access to agricultural services and a generalized Poisson regression model to evaluate the factors affecting the degree of access to these services. The results indicated that farmers had varying degree of access to different agricultural services. The most accessed service was agricultural extension (63% access) while the least was farm credit (40% access). Access to services and the degree of access (number of services accessed) were both influenced by household size, farming experience, household income, farmer group membership, and geographical location. In addition, the number of services accessed by farmers was influenced by participation in off-farm work. The paper proposed measures to enhance smallholders' access to agricultural services to promote agricultural production, food security and rural livelihoods.

Perception of climate change and its impact by smallholders in pastoral/agropastoral systems of Borana, South Ethiopia.

This study investigates the perception of historic changes in climate and associated impact on local agriculture among smallholders in pastoral/agropastoral systems of Borana in southern Ethiopia. We drew on empirical data obtained from farm household surveys conducted in 5 districts, 20 pastoral/agropastoral associations and 480 farm households. Using this data, this study analyses smallholders' perception of climate change and its associated impact on local agriculture, and the effect of various household and farm attributes on perception. Results suggest that most participants perceived climatic change and its negative impact on agricultural and considered climate change as a salient risk to their future livelihoods and economic development. Different levels of perception were expressed in terms of climate change and the impact on traditional rain-fed agriculture. Age, education level, livestock holding, access to climate information and extension services significantly affected perception levels. Household size, production system, farm and non-farm incomes did not significantly affect perception levels of smallholders. Smallholders attributed climate change to a range of biophysical, deistic and anthropogenic causes. Increased access to agricultural support services, which improves the availability and the quality of relevant climate information will further enhance awareness of climate change within of the rural community and result in better management of climate-induced risks in these vulnerable agricultural systems.