Implications of higher global food prices for poverty in low‐income countries1

In many poor countries, the recent increases in prices of staple foods have raised the real incomes of those selling food, many of whom are relatively poor, while hurting net food consumers, many of whom are also relatively poor. The impacts on poverty will certainly be very diverse, but the average impact on poverty depends upon the balance between these two effects, and can only be determined by looking at real‐world data. Results using household data for 10 observations on nine low‐income countries show that the short‐run impacts of higher staple food prices on poverty differ considerably by commodity and by country, but that poverty increases are much more frequent, and larger, than poverty reductions. The recent large increases in food prices appear likely to raise overall poverty in low‐income countries substantially.     

The impact of coffee price changes on rural households in Uganda

Employing household survey data covering the periods 1992–1993, 1995–1996, and 1999–2000, this article shows for the case of Uganda that a coffee market liberalization followed by a price boom was associated with substantial reductions in poverty, which could even be sustained when prices went down again. Coffee is not planted by the richest farmers and the gains from higher coffee prices accrued to poorer and richer coffee farmers alike. Nor were poorer farmers hurt disproportionately when prices fell. In addition, we find strong spillovers from coffee production to other agriculture, which tends to favor the poor, and to nonagricultural activities. These multiplier effects are concentrated in coffee regions. In an economic environment characterized by a booming agricultural sector, coffee farmers were able to accommodate the negative price shock, in particular through agricultural diversification. General agricultural growth also cushioned possible negative multiplier effects in coffee regions. Overall, the case of coffee in Uganda thus lends support to the view that agricultural trade liberalization is beneficial for the poor.     

It is where you are that matters: the spatial determinants of rural poverty in India

The spatial patterns of poverty in India are of considerable importance in themselves and for development theory and practice. This article examines the determinants of rural poverty in India using spatial econometric methods. It finds that while agricultural growth is the key determinant of rural poverty declines, there is significant spatial dependence in the growth rates of agricultural output. Irrigation is the primary driver of agricultural growth, and spatial variations in irrigation development seem to be associated with agro‐ecological conditions which may be vastly different within Indian states, parts of which may be similar to those prevailing in geographically contiguous states. Poverty reduction strategies need to be designed in the light of spatial factors and using spatial methods.     

Pathways out of poverty in lagging regions: evidence from rural western China

How to reduce poverty in lagging regions remains much debated and underserved with solid empirical evidence. This study illustrates an empirical methodology to analyze the pathways households followed out of poverty and to explore their potential in the future using 2000–2004 rural household panel data from two lagging provinces of China, Inner Mongolia and Gansu. It finds that rising labor productivity in agriculture has been key in understanding poverty reduction in rural lagging areas of these provinces and that it still holds much promise. Circular migration has also been important in Gansu, though less so in Inner Mongolia. On average, rural diversification has not proven to contribute much to poverty reduction and income transfers and agricultural tax abolishment have only helped at the margin. The findings from these two case studies highlight that the scope for reducing poverty in rural lagging regions can still be substantial in agriculture, also when nonagriculture drives national growth.     

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.     

Ex post impacts of improved maize varieties on poverty in rural Ethiopia

Public agricultural research has been conducted in Africa for decades. While many studies have examined its aggregate impacts, few have investigated how it affects the poor. This paper helps fill this gap by applying a new procedure to explore the ex post impacts of improved maize varieties on poverty in rural Ethiopia. Plot‐level yield and cost changes due to adoption are first estimated using instrumental variable and marginal treatment effect techniques where possible heterogeneity is carefully accounted for. A backward derivation procedure is then developed to link treatment effect estimates with an economic surplus model to identify the counterfactual household income that would have existed without improved maize varieties. Poverty impacts are finally estimated by exploiting the differences between observed and counterfactual income distributions. Improved maize varieties have led to a 0.8–1.3 percentage drop of poverty headcount ratio and relative reductions of poverty depth and severity. However, poor producers benefit the least from adoption due to the smallness of their land holdings.     

Asset‐based poverty transition and persistence in rural China

This article tests empirically for transition and persistence of poverty in rural China based on the theory of asset‐based poverty traps. It proposes an analytical framework mitigating the problem of endogenous switching between accumulation regimes and disentangling the true state‐dependence of poverty. Specifically, a dynamic asset threshold separating households into downward and upward mobility regimes is identified after taking households’ unobserved characteristics and observed regime‐differentiated accumulation strategies into account. The static analysis identifies causality running from settling into a downward mobility regime to the probability of poverty measured by consumption. Furthermore, allowing for endogenous initial poverty status, the dynamic analysis finds strong true state‐dependence in poverty. Households with the same characteristics are nearly twice as likely to be poor as if they had not previously switched to the accumulation regime. Assets below the dynamic threshold serve as a conduit through which poverty propagates itself. Factors that help to break this vicious circle are identified.     

Measuring the impacts of agricultural research on poverty reduction

Policymakers are increasingly calling upon agricultural research managers to consider poverty reduction objectives when making resource allocations. The authors present a simple method to measure the impact of agricultural research on the poor. This method has the advantage that it presents the results in a manner consistent with commonly used measures of poverty. This consistency and focus should facilitate and enhance dialogue between policymakers and research managers when deciding on resource allocations and assessing impacts on poverty reduction. An illustrative application is presented using data from Malawi.     

Consistent poverty comparisons and inference

Building upon the cost of basic needs (CBN) approach, an integrated approach to making consumption-based poverty comparisons is presented. This approach contains two principal modifications to the standard CBN approach. The first permits the development of multiple poverty bundles that are utility consistent. The second recognizes that the poverty line itself is a random variable whose variation influences the degree of confidence in poverty measures. We illustrate the empirical importance of these two methodological changes for the case of Mozambique. With utility consistency imposed, estimated poverty rates tend to be systematically higher in rural areas and lower in urban areas. We also find that the true confidence intervals on the poverty estimates—those incorporating poverty line variance—tend to be considerably larger than those that ignore poverty line variance. Finally, we show that these two methodological changes interact. Specifically, we find that imposing utility consistency on poverty bundles tends to tighten confidence intervals, sometimes dramatically, on provincial poverty estimates. We conclude that this revised approach represents an important advance in poverty analysis. The revised approach is straightforward and directly applicable in empirical work.     

Cocoa pricing options and their implications for poverty and industrialization in Ghana

This study establishes the cocoa pricing subsidization options that will stabilize processors’ throughput while meeting the multiple, but possibly conflicting, public policy objectives of maximizing government revenue and reducing poverty among Ghanaian cocoa beans producers. To evaluate these options, we construct and numerically simulate a structural dynamic stochastic model of a representative cocoa processor who maximizes the present value of current and expected future profits, given prevailing market conditions and cocoa pricing policies. Our results indicate that, given current processing capacity, the Ghana Cocoa Board would have to offer a 92% discount to processors on main‐crop beans in order to achieve the industrial goal of locally processing 40% of annual production. This would cause light‐crop beans used in processing to be completely displaced by main‐crop beans carried over as inventory. It would also increase mean processor revenues by 167%, but cause the Ghana Cocoa Board to operate at a significant deficit, implying that the stated goal could only be achieved through massive government subsidies.     

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.     

Implications of high food prices for poverty in Pakistan

The study estimates the impacts of rising world food prices on poverty in rural and urban areas of Pakistan. Household income and expenditure data for 2004/2005 is used to estimate compensated and uncompensated price and expenditure elasticities using the linear approximation of the almost ideal demand system. Taking the unexpected component of higher domestic food prices in 2007/2008, own and cross price compensated elasticities are used to derive the changes in the quantity consumed, food expenditure and impacts on poverty assuming the food crisis happened in 2004/2005. The results indicate that poverty increased by 34.8%, severely affecting the urban areas where poverty increased by 44.6% as compared to 32.5% in rural areas. The estimates show that 2.3 million people are unable to reach even one‐half of poverty line expenditures while another 13.7 million are just below and 23.9 million are just above the poverty line. In the short run, it is important to ensure food availability to these people. In the long run, the policy environment of subsidizing urban food consumers by keeping wheat prices lower than the international price, needs to be reconsidered to provide the right incentives to increase food availability.     

经济增长与收入再分配对湖北省农村贫困变动的影响

本文通过对湖北省否受益并相关结论贫困变动由人均收入水平和收入分配不平等程度两个因素共同决定。贫困变动的增长再分配分解，考察1997—2003年间如上两个因素村贫困变动的影响方向和程度，进而分析在经济增长过程中穷人是算和比较基尼系数，考察在此期间农村居民的收入分配状况，得出对农测。     

Efficiency–equity tradeoffs and the scope for resource reallocation in agricultural research: evidence from Nigeria

On the basis of projected economic and poverty impacts of alternative commodity research programs, this article assessed efficiency and equity tradeoffs and the scope for research resource reallocation in Nigeria. Given the importance of major food staples to both poor and nonpoor households in production and consumption, introducing a poverty dimension revealed no significant shift in priorities compared with those implied by efficiency. The results showed that neither the additional benefits to the poor nor the foregone benefits to society are significant from prioritizing research according to equity—relative to efficiency—criteria. As current priorities are supported by neither efficiency nor equity criteria, however, there is considerable scope for maximizing research benefits to the poor through informed reallocation of research resources. The article concludes with a discussion of the patterns of resource reallocations implied by efficiency and equity criteria.     

The impact of migration on rural poverty and inequality: a case study in China

Large numbers of agricultural labor moved from the countryside to cities after the economic reforms in China. Migration and remittances play an important role in transforming the structure of rural household income. This article examines the impact of rural‐to‐urban migration on rural poverty and inequality in a mountainous area of Hubei province using the data of a 2002 household survey. Since migration income is a potential substitute for farm income, we present counterfactual scenarios of what rural income, poverty, and inequality would have been in the absence of migration. Our results show that, by providing alternatives to households with lower marginal labor productivity in agriculture, migration leads to an increase in rural income. In contrast to many studies that suggest that the increasing share of nonfarm income in total income widens inequality, this article offers support for the hypothesis that migration tends to have egalitarian effects on rural income for three reasons: (1) migration is rational self‐selection—farmers with higher expected return in agricultural activities and/or in local nonfarm activities choose to remain in the countryside while those with higher expected return in urban nonfarm sectors migrate; (2) households facing binding constraints of land supply are more likely to migrate; (3) poorer households benefit disproportionately from migration.     

The economic and poverty impacts of maize research in West and Central Africa

This article assembles the results of three multicountry surveys on variety performance and adoption patterns to measure the impacts of maize research in West and Central Africa from 1981 to 2005, and uses cost data since 1971 to compute social rates of return on public investments in maize research in the region. Adoption of modern varieties increased from less than 5% of the maize area in the 1970s to about 60% in 2005, yielding an aggregate rate of return on research and development (R&D) investment of 43%. The estimated number of people moved out of poverty through adoption of new maize varieties rose gradually in the 1980s to more than one million people per year since the mid 1990s. Over half of these impacts can be attributed to international maize research at IITA and CIMMYT. The article concludes with a discussion of strategic options to enhance the impacts of maize research in the region.     

Markets and pro-poor agricultural growth: insights from livelihood and informal rural economy models in Malawi

This article presents the development of a set of programming models describing the major features of different rural livelihoods and of the informal rural economy they together make up in Malawi. The models allow for differentiated responses by different household types to change and for the partial equilibrium effects of consequent supply, demand, and price adjustments in labor and grain markets. The models provide insights into the relations between own‐farm and nonown‐farm activities in different households' livelihoods and in the informal rural economy as a whole, and are used to investigate possible impacts of increasing cash crop prices and of a more open rural economy. Impacts of these changes on the poor are found to be critically dependent upon supply and demand elasticities in labor and grain markets, but the poor could potentially suffer significant losses from increased openness of the local economy leading to increased expenditure by less poor households on imported goods and services.