Reform of tenancy systems and agrarian development: A Latin American case study

The present study employs recent World Bank data to shed light, in a global context, on the transformation of changes in income and inequality into poverty reduction for a large number of countries in sub-Saharan Africa (SSA). The study begins by discussing SSA's progress on poverty. Next, it presents data on how various African countries have fared in terms of the incidence of poverty relative to other countries, with special emphasis on the period since the mid-1990s, when SSA generally experienced a growth resurgence. The paper then decomposes performance on poverty into changes in income and inequality for a sample of SSA countries that have the requisite data. The paper finds that recent progress on poverty has been considerable, in contrast to the earlier, 1980–early 1990s, period. Compared with the progress in a global sample of countries, however, progress has been mixed: nonetheless, although African countries lag behind the Brazil, India, China and Russia group of countries as a whole, many of them have outperformed India. Furthermore, while income growth is found to be the main engine for poverty reduction in SSA in general, the role of inequality is crucial in certain countries. Viewed in a global context, moreover, the low levels of income have inhibited the effectiveness of income and inequality improvements in reducing poverty in many African countries.     

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.     

Hired labor use decisions in cassava-producing households of sub-Saharan Africa

Sub‐Saharan Africa is the only developing region of the world where agricultural output has been trailing population growth for most of the last three decades. Farming systems in the region are inherently risky because they are fundamentally dependent on the vagaries of weather. In addition, it is a region of crises; poverty, civil strife, and HIV/AIDS. Attention must therefore be focused on improving the production of crops that could thrive under these circumstances. Because of its tolerance of extreme drought and low input use conditions, cassava is perhaps the best candidate in this regard. And cassava is a basic food staple and a major source of farm income for the people of the region. The use of hired labor is important for its production growth because cassava root yield responds positively to the application of hired labor. This article, based on farm‐level information collected from six major cassava‐producing countries of Africa, within the framework of the Collaborative Study of Cassava in Africa, identifies strategic variables affecting the hired labor use decisions of producing households. The characteristics of the household head (age and number of years of formal education), the size of the household farm, good market access, and population pressure are found to motivate households to apply hired labor in cassava production. These observations underscore the need for investing in people—education—and in infrastructure—market access—as possible tools for improving food production in the region. The positive effect of farm size also suggests that some kind of land reform, which would put more farmland at the disposal of farm households, could be favorable to improving cassava production.     

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.     

Food insecurity,income inequality,and the changing comparative advantage in world agriculture

I would like to argue in this article that in the process of economic development in land‐poor countries in Asia, agriculture faces three distinctly different problems: food insecurity, sectoral income inequality, and the declining food self‐sufficiency associated with the declining comparative advantage in agriculture at the high‐income stage. Massive imports of food grains to Asia, if they occur, will aggravate the world food shortage, which will have significant implications for the poverty incidence in the world. I argue that in order to avoid such a tragedy, Asia should expand farm size to reduce labor cost by adopting large‐scale mechanization, sub‐Saharan Africa should realize a green revolution in grain production, and Latin America should further expand its grain production capacity.     

Risk aversion in agricultural water management investments in Northern Ghana: experimental evidence

Sub‐Saharan Africa (SSA) is one of the regions in the world most affected by food price volatility and production variability. Poor small‐scale farmers in this region are particularly vulnerable to this variability. As a result, households may be reluctant to adopt new agricultural water management (AWM) technologies when they involve more risk than what they mitigate. Despite risk's role in AWM investments, there have been few attempts to estimate the magnitude and nature of risk aversion in relation to this type of farm decisions. To partially close this gap, this article uses an experimental approach applied to 137 households in Northern Ghana. We find that more than 70% of households are moderately or slightly risk averse. This contrasts with other studies in SSA, where most household decision‐makers exhibit severe to extreme risk aversion. We also find that households that stand to lose as well as gain something from participation in games are less risk averse than households playing gains‐only games. This result suggests that most farmers’ current wealth put them at risk of falling into a poverty trap. Thus, the losses from the riskiest investments on AWM technologies may fall more heavily on the poor, suggesting that additional efforts be given to the creation of viable insurance mechanisms.     

Incentives to managers or participation of farmers in China's irrigation systems: which matters most for water savings,farmer income,and poverty?

The overall goal of our article is to better understand which matters for water savings, farmer income and poverty in China's irrigation systems: incentives to managers or participation of farmers. To pursue this goal, the article has three objectives. First, we track the evolution of water management reform, examining the practice of providing incentives to managers, and increasing the participation of farmers. Second, we identify the impact of water management reform on crop water use. Specifically, we want to measure whether or not incentives to managers and farmer participation in water management institutions affect the performance of the irrigation system. Because we also are interested in the potential results of water management reform, the article explores how changes in incentives and farmer participation affect farmer income and poverty. Based on a random sample of 51 villages and 189 farmers in four large irrigation districts in Ningxia and Henan provinces, both in China's Yellow River Basin, our results show that the two major forms of water management reform, water users' associations (WUAs) and contracting, have begun to systematically replace traditional forms of collective management. Our analysis demonstrates, however, that it is not the nominal implementation of the reform that matters, but rather it is the creation of new management institutions that offer water managers monetary incentives that lead to water savings. In contrast to the original design of China's reform policies, participation of farmers has not played a role in saving water. Importantly, given China's concerns about national food production and poverty alleviation, the reductions in water, at least in our sample sites, do not lead to reductions in income and do not increase the incidence of poverty.     

Technology adoption,impact, and extension in developing countries’ agriculture: A review of the recent literature

Given the stagnant agricultural productivity and persistent food insecurity in low-income countries—notably in sub-Saharan Africa (SSA)—there has been continued interest in the adoption of new technology and its impact on productivity in these regions. To increase crop yields and sustain yield gains, recent case studies of technology adoption unanimously recommend the adoption of integrated farm management systems, particularly in SSA. On the other hand, there have been increasing numbers of studies on social network or farmer-to-farmer technology extension. These studies explore more efficient extension systems than traditional public-sector extension approaches. This article reviews both recent case studies of technology adoption and its productivity impacts as well as studies on agricultural extension to identify common findings, shortcomings, and major remaining issues.     

Taking a new look at empirical models of adoption: average treatment effect estimation of adoption rates and their determinants

This article shows that the observed sample adoption rate does not consistently estimate the population adoption rate even if the sample is random. It is proved that instead the sample adoption rate is a consistent estimate of the population joint exposure and adoption rate, which does not inform about adoption per se. Likewise, it is shown that a model of adoption with observed adoption outcome as a dependent variable and where exposure to the technology is not observed and controlled for cannot yield consistent estimates of the determinants of adoption. The article uses the counterfactual outcomes framework to show that the true population adoption rate corresponds to what is defined in the modern policy evaluation literature as the average treatment effect (ATE), which measures the effect or impact of a "treatment" on a person randomly selected in the population. In the adoption context, a "treatment" corresponds to exposure to the technology. The article uses the ATE estimation framework to derive consistent nonparametric and parametric estimators of population adoption rates and their determinants and applies the results to consistently estimate the population adoption rates and determinants of the NERICA (New Rice for Africa) rice varieties in Côte d'Ivoire. The ATE methodological approach developed in the article has significant policy implications with respect to judging the intrinsic merit of a new technology in terms of its potential demand by the target population independently of issues related to its accessibility and in terms of the decision to invest or not in its wide-scale dissemination.     

Impact of training on the intensification of rice farming: evidence from rainfed areas in Tanzania

Agricultural development is indispensable for poverty reduction and food security in sub‐Saharan Africa (SSA). This study investigates the impact of rice production training in a modified version of the System of Rice Intensification (SRI) on the performance of small‐scale rice farmers in a rainfed area of Tanzania. Utilizing the plot level variation, we employ propensity score matching (PSM) to assess the impact of training on technology adoption, productivity, and profitability. We also estimate a difference‐in‐differences model with plot fixed effects using recall panel data covering the periods before and after training. We found that trainees achieved an average paddy yield of 4.7 tons per hectare and rice profit of 191.5 USD per hectare on the plots where new technologies were adopted, which is higher by about 1.3–1.8 tons and 119–137 USD per hectare than on the other plots. Our study suggests the high potential of transforming favorable rainfed rice growing areas in SSA so as to achieve a rice Green Revolution through training in modern input use and improved agronomic practices.     

Why did farmers stop cultivating NERICA upland rice varieties in central Benin?

New Rice for Africa (NERICA) was developed by the Africa Rice Center by crossing high-yielding Asian rice (Oryza sativa L.) with locally adapted African rice (Oryza glaberrima Steud.). Community-based seed production of NERICA varieties was introduced in a village in central Benin in 2006 through seed dissemination projects. It was reported that high-adoption rates of these varieties were mainly due to high demand by development projects for seed dissemination, and to incentives (i.e. selling the rice seed at a higher than local market price to a local extension service) for farmers to grow NERICA varieties. A follow-up survey was undertaken after the seed dissemination projects ended to examine the change in the cultivation of NERICA varieties. About half of the farmers had ceased cultivation of NERICA varieties in 2011. The reasons for abandonment were the combined effects of reduced seed demand and low yields, which were attributed to a lack of access to credit and training on NERICA cultivation practices. The majority of the farmers did not abandon rice cultivation, but grew other high-yielding varieties, including one aromatic variety for which there was market demand. We conclude that to avoid immediate reductions in the adoption of new varieties after projects are terminated and to enhance agricultural sustainability, the varieties should be introduced in conjunction with appropriate group training on their cultivation, and the project should target farmers who do not have off-farm businesses. Furthermore, access to credit should also be enhanced, and the marketability of the varieties should be assessed.     

Does a “Blue Revolution” help the poor? Evidence from Bangladesh

The rapid growth in aquaculture production, globally and in Bangladesh is well documented. Over 2000–2010, per capita production of aquaculture grew 76%, while the consumer price of fish declined 45%. Previous studies have suggested pro‐poor effects of aquaculture based on fish production and consumption patterns. This study attempts to quantify the contribution of aquaculture to income growth and poverty reduction in Bangladesh, using household survey data and a microsimulation approach based on an expanded version of Deaton's concept of net benefit ratio. We estimate that aquaculture's contribution to income growth between 2000 and 2010 was 2.1%, including both price and quantity effects. This income growth was translated into poverty reduction of 1.7 percentage points. Although these estimates seem small, they represent almost 10% of the overall poverty reduction in Bangladesh during the first decade of the 21st century. Put differently, of the 18 million Bengalis who escaped poverty during 2000–2010, about 1.8 million of them managed to do so because of the rapid growth in aquaculture, which contributed to rural income while making fish more accessible to consumers.     

Toward a green revolution in Africa: what would it achieve,and what would it require?

The current global food crisis has reemphasized the costliness of Africa's failure to achieve food security and poverty reduction. The instrument by which other more successful developing countries achieved these outcomes was a “Green Revolution” in agriculture. While previous research has provided largely discursive appraisals of the viability of an African Green Revolution, this article adopts a more rigorous methodology to address that question. First, an economy‐wide multimarket model, augmented with existing poverty–growth elasticities, is developed to assess the likely impacts of a rapid acceleration in food production (of the kind witnessed in previous Green Revolutions) on food prices, consumption and demand, farmer revenue, and poverty. Our results suggest that a rapid growth in staple production, together with more integrated regional markets, would reduce food prices by roughly 20–40% for consumers and 10–20% for producers among the major crops. This translates into a large rise in farm revenues, annual agricultural growth rates of 6.5% or higher, broader income growth and food security, and over 70 million Africans being lifted out of poverty. The article concludes by emphasizing the kinds of fundamental policy actions and resources that would be required for achieving these outcomes.     

Micro insights on the pathways to agricultural transformation: Comparative evidence from Southeast Asia and Sub-Saharan Africa

Most studies of agricultural transformation document the impact of agricultural income growth on macroeconomic indicators of development. Much less is known about the micro-scale changes within the farming sector that signal a transformation precipitated by agricultural income growth. This study provides a comparative analysis of the patterns of micro-level changes that occur among small-holder farmers in Uganda and Malawi in Sub-Saharan Africa (SSA), and Thailand and Vietnam in Southeast Asia (SEA). Our analysis provides several important insights on agricultural transformation in these two regions. First, agricultural income in all examined countries is vulnerable to changes in precipitation and temperature, an effect that is nonlinear and asymmetric. SSA countries are more vulnerable to these weather changes. Second, exogenous increases in agricultural income in previous years improve non-farm income and trigger a change in labor allocation within the rural sector in SEA. However, this is the opposite in SSA where the increase in agricultural income reduces non-farm income, indicating a substitution effect between farm and non-farm sectors. These findings reveal clear agricultural transformation driven by agricultural income in SEA but no similar evidence in SSA.     

Estimating overall returns to international agricultural research in Africa through benefit-cost analysis: a "best-evidence" approach

This study offers a "best evidence" approach to summarizing recent benefit-cost analyses of international agricultural research in Africa. First, from an extensive literature review and the resulting global inventory of impact studies, 23 studies are identified that calculate aggregate rates of return for Consultative Group on International Agricultural Research (CGIAR) and partner investments in Sub-Saharan Africa (SSA). These studies are then appraised against a review framework consisting of principles, criteria, and indicators for study rigor. Subsequently, the economic benefits reported by studies grouped on the basis of its analytical rigor are aggregated and set against total investment by the CGIAR and national agricultural research systems to determine if the total investment to date can be justified by documented benefits under a range of assumptions. As a result, the study finds that aggregate investment is justified under a fairly wide range of suppositions. Under all scenarios, the vast majority of documented benefits stem from a relatively limited array of activities with a majority of benefits stemming from biological control (80%). Close to 20% of total benefits result from crop genetic improvement, and less than 1% result from all other activities. The implications of these results for research investment strategies in SSA and impact assessment are discussed.     

Cash crop liberalization and poverty alleviation in Africa: evidence from Malawi

This article uses the case of burley tobacco liberalization in Malawi to investigate the efficacy of cash crop liberalization as an instrument for poverty alleviation in sub‐Saharan Africa. The principal justification for cash crop liberalization is that markets allow farm households to increase their incomes by producing that which provides the highest return to their productive resources and use the cash to buy consumption goods. Using a latent welfare model, we find that households that selected to grow cash crops had higher incomes than those that did not grow cash crops. However, we also find that due to the lumpiness and seasonality of cash crop incomes, higher household incomes, while increasing food purchases did not significantly affect per capita food intake. Irrespective of participation in cash crops, for much of the cropping season rural households seem to rely more on nonfarm income for expenditure and consumption smoothing.     

The Adoption of Genetically Modified Cotton and Poverty Reduction in Pakistan

This article employs a propensity score‐matching approach to examine the direct effects of adoption of Bacillus thuringiensis (Bt) cotton on yields, pesticide demand, household income and poverty, using cross‐sectional data from a survey of farmers in the Punjab province of Pakistan. Generally, the findings reveal that adoption of the new technology exerts a positive and significant impact on cotton yields, household income and poverty reduction, and a negative effect on the use of pesticides. The positive and significant impact of the technology on yields and household income is consistent with the potential role of new agricultural technology in directly reducing rural poverty through increased farm household income.     

Cross country maize market linkages in Africa: integration and price transmission across local and global markets

In order to study short‐run price shock propagation, we model twenty seven Sub‐Saharan Africa (SSA) domestic maize markets within a Global Vector Autoregression framework. The main purpose is to fully embed multilateral trade flows as a way to better structure local price transmission dynamics and interdependencies, and get a more comprehensive picture of food price shocks propagation. We found significant between‐country market contagion and prompt regional price shock propagation when trade connection exists. Yet, the integration of SSA domestic maize markets within the continent and with global markets remains generally weak. Furthermore, under regular market conditions, most local price series appear to be more responsive to regional neighbors than to global shocks.     

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.     

Agricultural water management and poverty in Ethiopia

The main focus of this article is to explore whether access to selected agricultural water management (AWM) technologies has led to significant reduction in poverty and, if they did so, to identify which technologies had higher impacts. In measuring impact we estimated the average treatment effect for the treated on crop income and measured the differences in consumption expenditures per adult equivalent of those with access and without access using matched data. The estimated average treatment effect was significant and amounted to USD 82 per season. Moreover, there was 24 less poverty incidence among users of AWM technologies compared to nonusers. All technologies were found to have significant poverty reducing impacts with micro dams, deep wells, river diversions, and ponds leading to 37%, 26%, 11%, and 9% reduction in poverty incidence compared to rainfed system. Finally, our study identified the most important correlates of poverty on the basis this we made the policy recommendations to build assets (AWM technologies, livestock, etc); to enhance human resource development and improve the functioning of labor markets for enhanced impact of AWM technologies on poverty.