Household surveys are one of the most commonly used tools for generating insight into rural communities. Despite their prevalence, few studies comprehensively evaluate the quality of data derived from farm household surveys. We critically evaluated a series of standard reported values and indicators that are captured in multiple farm household surveys, and then quantified their credibility, consistency and, thus, their reliability. Surprisingly, even variables which might be considered ‘easy to estimate’ had instances of non-credible observations. In addition, measurements of maize yields and land owned were found to be less reliable than other stationary variables. This lack of reliability has implications for monitoring food security status, poverty status and the land productivity of households. Despite this rather bleak picture, our analysis also shows that if the same farm households are followed over time, the sample sizes needed to detect substantial changes are in the order of hundreds of surveys, and not in the thousands. Our research highlights the value of targeted and systematised household surveys and the importance of ongoing efforts to improve data quality. Improvements must be based on the foundations of robust survey design, transparency of experimental design and effective training. The quality and usability of such data can be further enhanced by improving coordination between agencies, incorporating mixed modes of data collection and continuing systematic validation programmes.
Tag: household income
Household Welfare Effects of Stress-Tolerant Varieties in Northern Uganda
This study assessed the adoption of stress-tolerant varieties and their effect on household welfare, measured by net crop income per capita in Nwoya District, Uganda. The stress-tolerant varieties were considered to be climate-smart because they stabilise and increase crop income in the presence of climatic shocks. However, the uptake of the stress-tolerant varieties was still low in northern Uganda, due to bad past experience in terms of the performance of other improved varieties. Using data from a random sample of 585 households, a logistic model was estimated to assess the drivers for adoption of stress-tolerant varieties. In addition, a propensity score matching model was employed to assess causal effects. The second model was estimated because it controls for unobserved heterogeneity caused by self-selection bias. Results showed that adoption of stress-tolerant varieties was positively influenced by household size, access to information from non-governmental organizations (NGOs), the perception of future climate change, the number of years an individual had lived in the village, and the number and type of assets owned as an indicator of household well-being. Average treatment effect from results showed that stress-tolerant varieties can increase crop income within a range of United States Dollars (USD) 500–864 per hectare per year, representing an 18–32% increase in crop income. The findings offer justification for scaling up stress tolerant varieties among smallholder farmers in northern Uganda to improve their welfare.
Maximizing the production, marketing, and returns form local chicken
The livestock sector—which includes cattle, goats, sheep, pigs, and poultry—contributes to approximately 42% of Zambia’s national agricultural output. The sector has potential to grow, especially among smallholder farmers.
Improving household incomes and reducing deforestation using rotational woodlots in Tabora District, Tanzania
Increasing smallholder incomes and improving the environment are often viewed as conflicting objectives. Rotational woodlots in Tanzania appear to help farmers generate substantial income while at the same time conserving forest area. In the rotational woodlot system, farmers intercrop food crops with leguminous trees during the first 2–3 years, leave the trees to grow, harvest the trees in the 5th year, and replant food crops. Of three species planted in an on-farm trial involving 60 farmers, Acacia crassicarpa (A. Cunn. ex Benth.) performed best, attaining a height 96% higher and a root collar diameter 76% higher, than the second ranked species, Acacia jurifera (Benth.). In spite of higher costs and a longer payoff period, the crassicarpa woodlot achieved returns to land 6.3 times greater, and returns to labor 2.0 times greater, than the maize (Zea mays L.)-fallow system. Farmers use fuelwood to cure tobacco (Nicotiana tabacum) and they greatly appreciate substituting relatively abundant land and slack season labor for scarce cash required for purchasing fuelwood that is harvested in the forest. Adoption of rotational woodlots in Tabora District alone can conserve 8675 ha forest per year, or 0.8% of total wooded area in the district. Farmers’ interest is high and 87% of those involved in the trial have expanded their area under woodlots. Research and development projects can benefit individual farmers and society by helping them to make the transition from depleting forest resources to planting trees on their own farms.
Household Fuel Consumption Based on Multiple Fuel Use Strategies: A Case Study in Kibera Slums
Recently, it has been argued that, contrary to earlier energy ladder thinking, households in developing countries do not switch to modern energy sources but instead tend to consume a combination of fuels. This article aimed to gather a better understanding of the relative importance of fuel substitution and fuel complementation, especially among charcoal, fuel briquettes and kerosene, and the factors associated with these choices. In this paper we present results of a household survey conducted during October 2010 in Kibera slums in Nairobi, Kenya. The results revealed that widely various household characteristics influence demand for charcoal and briquettes for cooking. In addition to these factors, the household income level affects the use of kerosene for cooking. At the same time, we found the fact households tend to switch to multiple fuels strategy as their increasing in income instead of completely switching from the consumption of traditional fuels to modern energy sources
Influence of seasonal on-farm diversity on dietary diversity
This study explored the associations between dietary patterns and farm diversity as well as socioeconomic variables during two seasons in rural Western Kenya. As a mean of two surveys, the average dietary diversity scores (DDS) of households and women were low, implying low household economic access to food and low women’s dietary quality. The Food Consumption Score (FCS) showed that acceptable levels of food consumption were realized over seven consecutive days in the 2014 survey by the majority of households (83%) and women (90%). While there was no strong association between the food scores and seven farm diversity indicators, both food scores were significantly associated with the household’s wealth status, ethnicity of both the household head and the spouse, and the education level of the spouse. For holistic household food and nutrition security approaches, we suggest a shift from a focus on farm production factors to incorporating easily overlooked socioeconomic factors such as household decisionmaking power and ethnicity.
Factors Affecting Household Participation In Non-Timber Forest Products Market In Eastern Uganda
It is recognized that non-timber forest products can contribute to poverty alleviation in areas with high poverty rate like Eastern Uganda. These products are particularly vital for the rural poor who collect them for diverse needs and functions. Therefore the Ugandan Government has recently focused on developing markets for non-timber forest products (NTFPs). This is also due to the surging demand for NTFPs, driven by increased consumer’s awareness of their medicinal, nutritional and economic value. In Uganda the markets of NTFPs are not yet as developed as that of staple food. Furthermore, there is little information about factors that influence household decision to collect or produce NTFPs as well as their decision to sell them in Uganda. The identification of these factors will help the Uganda Government in designing effective programs to boost households’ income in the short term and enable the sustainable use of forest resources in a way that they will be available for use by the future generation. Using data from a sample of 633 households selected through multistage sampling procedure, this study assesses factors affecting households’ decision to collect or produce NTFPs using a Probit model and identifies factors affecting households’ choice of a source of NTFPs using a Probit model. The study also analyses the determinants of households’ decision to sell NTFPs by use of a Probit model. The study found that the household characteristics (age, household size and wealth status) and other characteristics (agro-ecological zones and access to agricultural and market information) significantly affect household decision to participate in NTFPs or not as collector or producer. Household and farm characteristics (farm size, age, presence of trees on farm and occupation of the head of household) and other characteristics (agro-ecological zones and access to agricultural and market information) had a significant effect on household decision to collect NTFPs from the forest instead of producing them on farm. In addition, household and farm characteristics (education of the head of household, gender, presence of trees on farm and wealth status) and agro-ecological zones significantly affect household decision to sell NTFPs. Therefore the study recommends as follows: stakeholders should promote sound extension services on appropriate v agroforestry practices in the lowland communities. This is considering the land poor households who rarely plant trees on their farm. Poor households should be encouraged to invest more in NTFPs extraction and selling in order to take advantage of the growing market for products with high premium price. There is also a need for concerted effort among policy makers, non-governmental organizations and other stakeholders towards improving women participation in harvesting and marketing of NTFPs in the study area.
Trees and agroforestry for coping with extreme weather events: experiences from northern and central Viet Nam
Although tree-based farming systems are often assumed to be “resilient” or “climate-smart” options, adoption is limited. It could be that the sensitivity of individual tree species to extreme weather events is poorly documented or new systems include unfamiliar species and technologies. This paper reports on initial results of an evaluation of farmers’ experiences with trees and crops for responding to major climatic exposures in 21 villages in northern and north-central Viet Nam. Our study assessed the suitability and roles of trees by analyzing data gathered through focus group discussions, workshops and a survey of 661 households. The results showed that a majority of households were exposed annually to what they perceived as natural hazards. Experiences with using trees for coping and adaptation depended on household income status, awareness and policies. In particular, farms with trees had shorter recovery time after most types of natural disasters, except for cold spells, demonstrating economic and environmental buffers. Many leaders were unfamiliar with agroforestry and mainly looking for economies of scale, hence oriented to land use rather than landscape planning. This indicates disconnects between farmers’ needs and policymakers’ priorities with respect to climate change adaptation strategies. Existing agroforestry systems reflected a transition from indigenous or current farming systems via changing to either new species or technologies rather than changing both at the same time. Gaps in current adaptation strategies and key areas for policy and research interventions are finally discussed.
The Challenge of Improving Soil Fertility in Yam Cropping Systems of West Africa
Yam (Dioscorea spp.) is a tuber crop grown for food security, income generation, and traditional medicine. This crop has a high cultural value for some of the groups growing it. Most of the production comes from West Africa where the increased demand has been covered by enlarging cultivated surfaces while the mean yield remained around 10 t tuber ha1. In West Africa, yam is traditionally cultivated without input as the first crop after a long-term fallow as it is considered to require a high soil fertility. African soils, however, are being more and more degraded. The aims of this review were to show the importance of soil fertility for yam, discuss barriers that might limit the adoption of integrated soil fertility management (ISFM) in yam-based systems in West Africa, present the concept of innovation platforms (IPs) as a tool to foster collaboration between actors for designing innovations in yam-based systems and provide recommendations for future research. This review shows that the development of sustainable, feasible, and acceptable soil management innovations for yam requires research to be conducted in interdisciplinary teams including natural and social sciences and in a transdisciplinary manner involving relevant actors from the problem definition, to the co-design of soil management innovations, the evaluation of research results, their communication and their implementation. Finally, this research should be conducted in diverse biophysical and socio-economic settings to develop generic rules on soil/plant relationships in yam as affected by soil management and on how to adjust the innovation supply to specific contexts.
COVID-19 impacts, opportunities and challenges for wildlife farms in Binh Duong and Ba Ria Vung Tau, Vietnam
The wildlife trade is a major cause of species loss and can trigger disease transmission. While the COVID-19 pandemic sparked public interest in eliminating the wildlife trade, a better understanding is needed of the economic repercussions of COVID-19 on those who rely on wildlife farming for their livelihoods. Using the case studies of Ba Ria Vung Tau and Binh Duong provinces in Vietnam – a country seen as Asia’s wildlife trade hotspot – this paper explores COVID-19’s impacts on wildlife farms and their owners. Understanding these impacts is important, both in order to design appropriate interventions to support local people in mitigating COVID-19’s impacts as well as to inform effective policymaking around wildlife conservation in Vietnam. In this study, we adopted mixed research methods (including a literature and policy review, stakeholder consultation with government agencies and NGOs engaged in designing and monitoring wildlife conservation policies, a wildlife farming household survey, and research validation workshop) to understand the status of Vietnamese wildlife farms, as well as the impacts of COVID-19, and any opportunities and challenges for wildlife conservation and management in Vietnam. Our paper shows that, across the two studied provinces, numbers of wildlife farms and farmed wildlife animals have both declined since the pandemic, with declining market demand and wildlife farm owners experiencing difficulties accessing markets due to travel restrictions. Although this affected wildlife-related income, this represented less than 30 % of families’ overall income on average, and thus households were able to maintain their livelihoods through other sources. Most wildlife is raised as an additional food source for farming families and plays an important role in the diets of surveyed households. Findings also highlighted that most surveyed households’ post-pandemic recovery strategies involved expanding their wildlife farms in scope and scale; these households perceived a stable domestic market and high prices for wildlife products in future. Our study found several opportunities for sustainable wildlife farming practices, including greater political commitment, an increasing number of wildlife conservation policies, and stronger law enforcement mechanisms. Challenges remain, however; including an unclear and inconsistent policy framework, the presence of an illegal market, and wildlife farm owners’ limited knowledge and understanding of wildlife policies. Our paper also shows a lack of comprehensive data and understanding around actual wildlife transactions during the pandemic, leading to challenges in confirming whether COVID-19 had any real impact on wildlife trade. Further research is required to address this knowledge gap.