Food aid and adult nutrition in rural Ethiopia

Insight into the role of safety nets that contribute to adult nutrition is an important component to understanding the dynamics of poverty in developing countries. This article uses panel data from rural Ethiopia on individual nutritional status to test for an effect of public transfers on adult body mass index (BMI). Results show that among adult household members, male members are the primary beneficiaries of food aid as male and female aid recipients tend to invest aid receipts in male household members. These results are consistent with a theory in which additional resources are allocated to members of the household whose market returns are higher or those who engage in activities that expend higher levels of energy. For high‐asset households, female household members benefit if the aid recipient is a female. Women in low‐asset households appear to be adversely affected by aid receipts, and evidence suggests that women with little bargaining power suffer the most. The results suggest that aid receipts are useful in mitigating fluctuations in adult BMI over a short time period.     

Testing Asset Dynamics for Poverty Traps in Rural China

This paper quantifies the link between agricultural income, caloric intake, and asset‐based poverty in rural China. The analysis employs data from the China Health and Nutrition Survey including 1,279 households in eight survey years. The balanced data models are then estimated to reveal the role that various shocks (e.g., prices and climate/weather) play in determining the asset dynamics between different income groups using four different asset indexes which cover comprehensive, fixed, productive, and consumable assets. To capture absolute asset dynamics, a fourth‐degree polynomial function was used in a three‐stage least squares system made up of an asset index, caloric intake, and farm income. The empirical results do not show evidence of a poverty trap based on multiple equilibriums.     

Poverty analysis using small area estimation: an application to conservation agriculture in Uganda

This article demonstrates the utility of small area estimation of poverty (SAEp) methods for researchers wishing to conduct a detailed welfare analysis as part of a larger survey of a small geographic area. This study applies SAEp methods as part of an impact assessment of a conservation agriculture production system in Eastern Uganda. Using SAEp, we estimate Foster–Greer–Thorbecke rural poverty indices, estimate the effects of per‐acre farm profit increases to poor households on the indices, and compare the findings to estimates of net returns from a field‐level evaluation of conservation agriculture for maize farmers. Results suggest that increasing the farm profits of the bottom 30% of households by $1.60 per‐acre per‐season would reduce rural poverty incidence by 1 percentage point. Available data on the net returns to conservation agriculture indicate that even these modest increases are achievable for few adopting households.     

Vulnerability,shocks and persistence of poverty: estimates for semi‐arid rural South India

This paper focuses on the vulnerability of rural households to poverty when a negative crop shock occurs. The analysis is based on the ICRISAT panel survey of households in a semi‐arid region in south India during 1975–84. Using a dynamic panel data model that takes into account effects of crop shocks, an assessment of vulnerability of different groups of households is carried out. What is somewhat surprising is that even sections of relatively affluent households are highly vulnerable to long spells of poverty when severe crop shocks occur. As such crop shocks are frequent in a harsh production environment, there must be a shift of emphasis in anti‐poverty measures from meeting income shortfalls among the poor to enabling the vulnerable to protect themselves better against these shocks.     

The impact of safety nets on technology adoption: a difference‐in‐differences analysis

This article contributes to a growing body of empirical literature relating credit constraints and incomplete insurance to investment decisions. We use panel data from rural Ethiopia to investigate whether participation in a safety net program enhances fertilizer adoption. Using a difference‐in‐differences estimator and inverse propensity score weighting, we find that participation in Ethiopia's food‐for‐work (FFW) program increased fertilizer adoption in the short run, but not in the long run. Results also indicate that the intensity of fertilizer usage increased with livestock holdings for FFW‐participant households, providing some evidence that the intervention helped asset‐rich farm households more than asset‐poor households. We find no significant effects of free distribution on fertilizer adoption or intensification. Our results are consistent with the hypothesis that safety nets can be viewed as mechanisms that allow households to take on more risk to pursue higher profits. The results highlight the importance of safety net programs, their effectiveness in ensuring farmers that they will be protected against uninsured shocks, and how that assurance can translate into productivity‐enhancing behavior.     

Market imperfections,liquidity, and farm household labor allocation: the case of rural South Africa

Asset endowments and market imperfections shape households’ labor allocation decisions and lead to different production regimes within rural farm households in South Africa. This article uses a farm household model to explain the presence of three main household groups determined on the basis of the labor regime adopted: small peasants (working both on and off farm), self‐cultivators (autarkic in labor) and hiring‐in households. A partial generalized ordered logit is used to test the main predictions of the model and a Brant test on threshold constancy is performed to identify the household‐specific factors affecting labor market participation. The results show that liquidity constraints and market imperfections matter in the choice of the labor strategy adopted. Liquidity‐constrained households are more likely to sell labor off farm while access to information facilitates the hiring in of workers.     

Coping with flood: role of institutions in Bangladesh

The article examines the coping strategies that rural households adopted during the 1998 flood in Bangladesh and assesses its impact on household welfare, including coping and vulnerability. Both vulnerability and poverty have in general declined in Bangladesh. Yet, 60% of rural households adopted a coping of one type or another and about half of rural households were both vulnerable as well as found to adopt any coping mechanism during the 1998 flood. Household‐level panel data analysis confirms that the flood reduced both consumption and asset, and forced many households to adopt some coping mechanisms to mitigate the adverse effects of flood. Consequently, natural disaster such as flooding increases households' vulnerability to poverty. However, post‐flood bumper crop production and operation of targeted programs such as microfinance helped compensate the losses of flood.     

Getting stuck,falling behind or moving forward: Rural livelihood movements and persistence in Nepal

Research on household livelihood dynamics is central to rural poverty reduction. In this paper, we adopt a three-wave panel dataset to explore the persistence of and transitions in household livelihoods in three districts of Nepal using duration and dynamic probit models. The results demonstrate that the livelihood strategies of rural households are dynamic: approximately 16 per cent of the sample households transitioned up to high-remunerative livelihood strategies, 10 per cent of the households shifted down to either low- or medium-remunerative livelihood strategies, and 69 per cent remained trapped in low-remunerative livelihood strategies. The major upward transition occurred from medium-remunerative strategies to high-remunerative strategies (14 per cent). Overall, 70 per cent of the households persisted in one of the three livelihood strategies, and the remaining 30 per cent changed their strategy at least once. This dynamic is associated with the households’ duration in a particular livelihood strategy and the various characteristics of households and household heads. Understanding livelihood movement, livelihood persistence and the associated covariates and targeting the poor on this basis is crucial to combating rural poverty and dismantling poverty traps. To this end, the present study suggests (i) strengthening physical and financial asset endowments to address low-remunerative strategies, (ii) improving infrastructure connectivity, particularly in remote and inaccessible areas, (iii) insuring against shocks, iv) enhancing opportunities for generating remittances and enabling petty trade, and (v) supporting the establishment of business ventures.     

Asset versus consumption poverty and poverty dynamics in rural Ethiopia

Several studies have shown conceptually that assets form a more robust basis for identifying the poor than do flow variables like expenditures or income. Asset‐based poverty classification can be used to distinguish structural from stochastic poverty and can enable projection of poverty dynamics through time. Nonetheless, little work has empirically compared poverty measurement based on assets and expenditures to indicate the practical implications of the choice of poverty measure. This article uses panel data (between 1994 and 2004) from Ethiopia to generate asset‐ and expenditures‐based poverty classifications. Asset dynamics are then explored to test for the existence of multiple asset index equilibria that could constitute evidence of poverty traps. Results provide evidence of multiple equilibria and show that the asset‐based poverty classifications predict future asset and expenditures poverty status more accurately than expenditures‐based measures. The findings confirm that the asset‐based measure could be used to more carefully target poverty interventions.     

Threshold cointegration and spatial price transmission when expectations matter

We examine the performance of the threshold cointegration approach, specifically Band‐TVECM, to price transmission analysis in an explicit context where trade decisions are made based on expectation of final prices, because trade takes time. We find that, following a standard inference strategy, a large portion of three‐regime cases are not identified as such. Results show that transfer costs are systematically underestimated, particularly in three‐regime models. The speed of price transmission is also biased in three‐regime models. Furthermore, inferences about occurrence of trade are poor, with estimated models suggesting far lower market integration than is true in the data‐generating process.     

Did the commodity price spike increase rural poverty? Evidence from a long‐run panel in Bangladesh

We assess the effects of the dramatic rise in agricultural commodity prices during 2007–2008 on income dynamics and poverty among rural households in Bangladesh. A unique panel data set allows us to put the effects of recent events in the context of long‐run trends in income and poverty. We use data from a nationally representative longitudinal survey of rural households in Bangladesh collected in four waves in 1988, 2000, 2004, and 2008. Nargis and Hossain (Nargis, N., Hossain, M., 2006. Income dynamics and pathways out of rural poverty in Bangladesh, 1988–2004. Agric. Econ. 35, 425–435) analysed income dynamics and poverty incidence for the first three waves, finding a declining trend in both the incidence and severity of poverty, aided in particular by human capital development and off‐farm employment opportunities. We update and extend the analysis to include data collected in 2008, at the height of a spike in agricultural prices. We find that the price of a balanced food basket increased by more than 50% during 2000–2008, while household income rose only 15%. As a result the incidence and severity of rural poverty in Bangladesh sunk to pre‐2000 levels during 2004–2008. Thus, the price spikes in 2007–2008 helped push an additional 13 million people into poverty in rural Bangladesh. Moreover, we find that the determinants of poverty have not been time‐invariant. In particular, agricultural production, which had previously been associated with a higher incidence of poverty, served as a hedge against higher food prices during 2004–2008.     

The effects of a large discrete maize price increase on the distribution of household welfare and poverty in rural Kenya1

This study estimates the effects of a large discrete maize price increase on the welfare of a sample of rural Kenyan households. The usual first‐order welfare approximation formula is extended to a second‐order formula that allows for supply and demand responses to the price change. Results show that many rural households are not affected greatly by the price change, and there are about as many gainers as losers. However, these full sample results mask important differences across regions. Welfare gains generally take place in major production areas while losses are in areas where most households are net buyers of maize. Semiparametric methods are used to investigate the relationship between income and the size of the welfare effect, and poverty dominance techniques are applied to study the impacts of the maize price increase on rural poverty.     

Diffusion and spillover of new technology: a heterogeneous-agent model for cassava in West Africa

Understanding what determines the geographic spread of innovations can help guide the funding and implementation of research and extension programs. Our approach uses household survey data as model parameters, to simulate behavior across the entire surveyed population and avoid the aggregation bias associated with representative‐farm models. Such a “heterogeneous agent” approach allows us to infer the distribution of a technology's impacts across one set of households, and predict the potential for spreading to another set that shares similar characteristics with respect to natural resource endowments and farming systems. We apply the technique to new cassava varieties in West Africa, finding a strongly poverty‐alleviating impact, with substantial spillover potential from Nigeria to neighboring countries.     

Nontraditional crops,traditional constraints: The long‐term welfare impacts of export crop adoption among Guatemalan smallholders

This article documents the long‐term welfare effects of household nontraditional agricultural export (NTX) adoption. We use a panel dataset that spans the period 1985–2005, and employ difference‐in‐differences estimation to investigate the long‐term impact of nontraditional agricultural export adoption on changes in household consumption status and asset position in the Central Highlands of Guatemala. Given the heterogeneity in adoption patterns, the analysis differentiates the impact estimates based on a classification of households that takes into account the timing and duration of nontraditional agricultural export adoption. The results show that while, on average, welfare levels have improved for all households irrespective of adoption status and duration, the extent of improvement has varied across groups. Long‐term adopters exhibit the smallest increase in the lapse of two decades, in spite of some early gains. Conversely, early adopters who withdrew from nontraditional agricultural export production after reaping the benefits of the boom period of the 1980s are found to have fared better and shown greater improvements in durable asset position and housing conditions than any other category.     

风险冲击对农村居民家庭相对贫困的影响——基于CFPS数据的实证分析

目的 试图从微观农户层面研究风险冲击对相对贫困的影响及作用路径,以期为增强农村居民家庭风险抵御能力、缓解相对贫困提供实证支撑。方法 文章基于中国家庭动态追踪调查（CFPS）数据,运用面板probit模型和固定效应模型实证分析风险冲击对农村居民家庭相对贫困的影响,用异质性分析和面板门槛回归模型探讨不同收入水平的农村居民家庭风险应对方式差异。结果 （1）风险冲击会增加农村居民家庭相对贫困的可能。其中,灾害冲击是导致农村居民家庭相对贫困的首要原因,其次是教育冲击和婚丧嫁娶、孩子出生等重大事件冲击,失业冲击和健康冲击的影响相对较小。（2）不同收入水平农村居民家庭的风险应对机制差异是导致相对贫困家庭无法摆脱相对贫困的重要原因。与高收入的农村居民家庭相比,低收入的农村居民家庭遭受风险冲击时会减少更多的农业生产投资,增加更少的人力资本投资,导致家庭现有的资源配置无法提升家庭未来的收入能力,使其囿于相对贫困无法脱离。结论 政府应构建更具韧性的国家治理体系、更具弹性的社会帮扶体系,在此基础上提高农村居民家庭的可持续生计能力,从而减少农村居民家庭陷入相对贫困的可能。     

Poverty targeting, resource degradation and heterogeneous endowments—a micro-simulation analysis of a less-favored Ethiopian village

Persistent and widespread poverty in less-favored areas (LFAs) is attributed to fragile natural resources and poor markets. Limited assets may keep households outside the reach of poverty policies targeted at LFAs. We explored in a stylized manner the role of heterogeneous household assets for (1) policies aimed at poverty reduction; (2) within-village income inequality; and (3) soil erosion. With a farm-household micro-simulation model we analyzed for each household in a remote Ethiopian village three sets of policies: technology improvement, infrastructure investment, and off-farm employment through migration or cash for work (CFW) programs. Combating poverty with a single policy, migratory off-farm employment reduces the poverty headcount most. Because of self-selection, CFW programs performed best in terms of reaching the poorest of the poor. CFW also reduced within-village income inequality most, while a price band reduction increased income inequality. Only technology improvements resulted in a trade-off between poverty and soil erosion. Price band and off-farm employment policies reduced erosion while outperforming technology improvements in terms of poverty reduction. We found that combining two policies was most helpful in assisting poorer households to overcome the limitations of their asset endowments. A CFW program combined with reduced price bands yielded most in terms of poverty reduction and income inequality. This policy complementarity is, however, less important for better-endowed households. Reducing the reliance of households on agriculture offered a win-win situation of reducing poverty and maintaining natural resources. Combining policies helped to overcome asset limitations, to target policies to the poorest households and to reduce income inequalities.     

Preference Heterogeneity and Habit Persistence: The Case of Breakfast Cereal Consumption

The efficiency of information, price campaigns and economic incentive policies related to food depend on the degree of habit persistence in food consumption. This paper estimates the strength of state dependence associated with breakfast cereal consumption and its heterogeneity across households, where positive state dependence implies habit persistence and negative state dependence implies variety seeking in consumption. The analysis uses a detailed micro‐level dataset from the research institute GfK Sweden on household breakfast cereal consumption in 2003. The analysis relies on a mixed multinomial logit model and finds breakfast cereal consumption is generally highly habitual. The degree of habit persistence, however, exhibits heterogeneity across households. In addition, some households can be characterised as variety seeking. The strength of habit persistence is similar across income and educational groups. The strength of habit persistence seems to be weaker for households with several adults and children compared with one‐adult households.     

Living on the edge: vulnerability to poverty and public transfers in Mexico

Social policy in Mexico has focused on identifying and supporting households in extreme poverty. Yet, the country has a significant number of households just above the poverty line who are not eligible, by definition, for antipoverty programmes and are at risk of falling into poverty in the event of adverse shocks without appropriate social safety nets. This study uses cross-section and longitudinal data to understand better the profile of those ‘vulnerable’ households, their risk exposure, and the extent to which they are covered by public transfers and insurance mechanisms. The analysis shows that until 2010 most social programmes, including the few with productive components, barely covered the vulnerable. The study calls for public policies to pay attention to the vulnerable and find a policy mix on the continuum between targeted interventions and universal insurance schemes to serve this income group.     

Estimating Investment Rigidity within a Threshold Regression Framework: The Case of U.S. Hog Production Sector

This article addresses the issues of investment/disinvestment asymmetry and a possible existence of a sluggish regime in the demand for a quasi-fixed input in the U.S. hog production sector. Adopting a new threshold estimation procedure, quarterly data from 1970 through 2002 are used to estimate a regime-dependent investment demand equation for a quasi-fixed input, taking sows as a proxy. The results support the existence of three regimes over alternative specifications precluding the sluggish regime, confirming the existence of asset fixity in hog production. The results also highlight the importance of accounting for investment rigidity when estimating hog supply and variable input demands.     

Microfinance and Household Poverty Reduction: Empirical Evidence from Rural Pakistan

This study examines whether household access to microfinance reduces poverty in Pakistan and, if so, how and to what extent. It draws on primary empirical data gathered by interviewing 1132 households, including both borrower and non-borrower households, in 2008–2009. Sample selection biases have been partially controlled for by using propensity score matching. The study reveals that microfinance programmes had a positive impact on the participating households. Poverty-reducing effects were observed on a number of indicators, including expenditure on healthcare, clothing and household income, and on certain dwelling characteristics, such as water supply and the quality of roofing and walls.