Typology Of Farm Households And Irrigation Systems

Irrigation is considered an important factor for agriculture and food security. Knowledge gaps, however, still exist with regard to how farmers in Africa south of Sahara, including Nigeria, are using irrigation. Given the diverse agroecological and socioeconomic environment in countries like Nigeria, understanding the diverse patterns of irrigation use and their associations with household characteristics is important in designing how irrigation can contribute to the agricultural transformation. This report summarizes the typology of farm households and irrigators in Nigeria. We apply a cluster analysis method to the Living Standard Measurement Survey (LSMS)—Integrated Survey on Agriculture data and various secondary data. We also compare the costs and inputs used across different irrigation crops, as reported in Nigeria. Findings indicate that the three major irrigation systems in Nigeria are (1) labor-intensive diverted stream irrigation of rice, (2) supplementary irrigation of coarse grains and legumes using groundwater, and (3) dry season irrigation of vegetables. Each crop is irrigated during a specific season and using a specific water source and irrigation system. Farmers’ choice of irrigation system tends to depend on many factors. For example, in the South, tractorization is often a necessary precondition for rice irrigation. In the North, intensive irrigation of rice and vegetables may make sense only if labor is cheap, whereas irrigation of sorghum and legumes is supplementary and may not affect farm households’ behaviors. Although more rigorous studies are needed in the future, observed patterns of irrigation use in Nigeria indicate that the policies aiming to raise agricultural productivity and to develop the value chains of key crops may need to be based on an understanding of why irrigation is used in specific ways in different systems and of what the key constraints in scaling up such systems in other locations are.

Group lending has been widely adopted in the past thirty years by many microfinance institutions as a means to mitigate information asymmetries when delivering credit to the poor. This paper proposes an empirical method to address the potential omitted-variable problem resulting from unobserved group types when modeling the repayment behavior of group members. We estimate the model using a rich dataset from a group-lending program in India. The estimation results support our model specification and show the advantages of relying on a type-varying method when analyzing the probability of default of group members. In particular, our model helps to better understand the factors driving repayment behavior, which may differ across group types, and shows a higher predictive power than standard single-agent choice models.

Using governorate-level national data and household survey data, we build a typology of farm households in Egypt that allows us to describe how different farm households behave in response to policy and environmental changes affecting their resources, welfare, and opportunities in output and input markets. One of the major contributions of this study is the building of a unique dataset that combines various data sources at different levels of aggregation, providing the information needed to model the farm typology. We used this dataset as the input of a multi-step procedure that includes the use of principal components and cluster analyses to identify 14 household types. To illustrate possible uses of the typology, we look at the vulnerability of the different types of households to projected changes in temperature, water availability, and water demand from crops due to climate change, and discuss which farmers, production systems, and regions will be most affected by climate shocks. We assumed that increased temperatures by 2050 would result in increased water demand and reduced yields for most crops due to heat stress and harsher growing conditions. We define three climate change scenarios that differ in the expected water flows of the Nile into the Aswan High Dam. Results of simulations using a household model suggest that Egypt is likely to experience a significant reduction in output, agricultural labor demand, and cultivated area because of climate change, although the severity of this outcome will depend on the magnitude of changes in the Nile’s flow. Most affected by these changes will be small and average households producing field crops. Our results suggest that to mitigate the risks and possible future impacts of climate change, the country will need to: Move away from policies supporting production of cereals and water-inefficient crops towards diversification of production into water-efficient high-value crops; facilitate the access of skilled resource-poor producers to capital and markets; and create opportunities for off-farm employment and income for smallholders that are using resources inefficiently.

A joint FAO and World Bank study which shows how the farming systems approach can be used to identify priorities for the reduction of hunger and poverty in the main farming systems of the six major developing regions of the world.

Bangladesh is extremely vulnerable to the impact of climate change because it is a low-lying, flat country subject to both riverine flooding and sea level rise, and because a large portion of its population is dependent on agriculture for its livelihood. The goal of this research was to examine the likely impacts of climate change on agriculture in Bangladesh, and develop recommendations to policymakers to help farmers adapt to the changes. In this study, we use climate data from four general circulation models (GCMs) to evaluate the impact of climate change on agriculture in Bangladesh by 2050. We use the DSSAT (Decision Support System for Agrotechnology Transfer) crop modeling software to evaluate crop yields, first for the 1950 to 2000 period (actual climate) and then for the climates given by the four GCMs for 2050. We evaluate crop yields at 1,789 different points in Bangladesh, using a grid composed of roughly 10 kilometer (km) squares, for 8 different crops in 2000 and 2050. For each crop, we search for the best cultivar (variety) at each square, rather than limiting our analysis to a single variety for all locations. We also search for the best planting month in each square. In addition, we explore potential gains in changing fertilizer levels and in using irrigation to compensate for rainfall changes. This analysis indicates that when practiced together, using cultivars better suited for climate change and adjusting planting dates can lessen the impacts of climate change on yields, especially for rice, and in some cases actually result in higher yields. In addition, the analysis shows that losses in yield due to climate change can be compensated for, for many crops, by increasing the availability of nitrogen in the soil. Moreover, we used a household survey to collect information on the incidence of climatic shocks in the last five years and adaptation options. The survey was conducted from December 2010 to February 2011, covering data from the previous production year. The results confirm that Bangladesh farmers already perceive the impacts of climate change. In particular, the survey results indicate that of all climate change–related shocks, floods, waterlogging, and river erosion caused the largest loss to rice production. Farmers in our survey lost around 12 percent of their harvest, on average, to some kind of shock, with about half of that attributable to flooding-related issues. The second leading cause of rice crop loss was pests, responsible for around 3 percent of production. Taken together, the results indicate that adaptation efforts in Bangladesh should include adjusting planting dates, using improved cultivars better suited for climate change, improving fertilizer application, exploring increased maize production, and bolstering flood and pest protection for farmers.

Demand heterogeneity often makes it profitable for firms to price and promote goods and services differently in different market segments. When private consumption brings public benefits, this same heterogeneity can be used to target public subsidies. We explore the design of public–private targeting and segmentation strategies in the case of a resource-conserving agricultural technology in India. To understand farmers’ heterogeneous demand for laser land leveling (LLL), we conducted an experimental auction for LLL services with an integrated randomized controlled trial to estimate the private benefits of the technology. We use graphical and econometric approaches to characterize farmer demand for LLL. We then add detailed cost data from LLL providers to simulate and evaluate several potential targeted delivery strategies based on measures of (1) the cost-effectiveness of expanding LLL dissemination, (2) water savings, and (3) market surplus in a welfare framework. These simulations demonstrate inherent tradeoffs between increasing the amount of land that is leveled and expanding the number of farmers who adopt the technology, and between adoption and water savings. While segmenting and targeting are popular elements of many public–private partnerships to develop and disseminate agricultural technologies, formulating and implementing effective delivery strategies requires a rich understanding of costs, benefits, and demand. Our experimental approach generates such an understanding and may be relevant in other contexts.

The Nigerian Comprehensive Food Security and Vulnerability Analysis (CFSVA) provides an in-depth assessment of the food security situation within Nigeria. This is very important as it equips policymakers with timely and relevant information that will aid the targeting of interventions. Some of the most pertinent findings of the study are listed below: • Food insecurity and poverty are intricately linked. Some 29 percent of households in the poorest wealth quintiles have unacceptable diets (9 percent poor and 20 percent borderline) compared with 15 percent in the wealthiest (2 percent poor and 13 percent borderline). • The poorest livelihoods are found in agriculture. Seventy-seven percent of subsistence farmers are found in the two poorest wealth quintiles, as are 70 percent of mixed or cash crop farmers. • The general state of water and sanitation facilities available to households in all wealth categories is very poor, with consequent health implications. Forty-five percent of respondents do not have access to decent toilets, and 85 percent have no proper means of refuse disposal. • The vulnerable and food insecure are mostly found in rural areas and the North West and North East regions of Nigeria. • Most households in all regions and at all wealth levels purchase food, but rural households and poorer households (by wealth and livelihood) also rely heavily on own food production. Households in the poorest quintiles in both rural and urban areas rely on own production (32 percent rural and 24 percent urban). Wealthier urban households rely mostly on purchases, whereas own production is common at varying levels across all wealth levels for rural households. • Nigerians generally consume a starchy diet, but wealthier households can afford more nutrient-rich foods (including animal-based proteins) than poorer households. For instance, the wealthiest households consume meat, fish, and eggs an average of four days a week compared with only two days for the poorest households. • Most households protect vulnerable household members in terms of food allocations (women and children), but that may not hold in the poorest households where some difficult allocation decisions may have to be made. • Poorer households are more likely to engage in extreme coping strategies (like going a whole day without food) to deal with food shortages.

Weather shocks and natural disasters, it has been argued, represent a major threat to national and international security. Our paper contributes to the emerging micro-level strand of the literature on the link between local variations in weather shocks and conflict by focusing on a pixel-level analysis for North and South Sudan at different geographical and time scales between 1997 and 2009. Temperature anomalies are found to strongly affect the risk of conflict. In the future the risk is expected to magnify in a range of 21 to 30 percent under a median scenario, taking into account uncertainties in both the climate projection and the estimate of the response of violence to temperature variations. Extreme temperature shocks are found to strongly affect the likelihood of violence as well, but the predictive power is hindered by substantial uncertainty. Our paper also sheds light on the vulnerability of areas with particular biophysical characteristics or with vulnerable populations.