Human health and pesticide use in Sub‐Saharan Africa

While pesticides–such as insecticides, fungicides, and herbicides–are often promoted as inputs that increase agricultural productivity by limiting a range of pre‐harvest losses, their use may have negative human health and labor productivity implications. We explore the relationship between pesticide use and the value of crop output at the plot level and a range of human health outcomes at the household level using large‐scale, nationally representative panel survey data from four Sub‐Saharan African countries where more than 10% of main season cultivators use pesticides. We find that pesticide use is strongly correlated with increased value of harvest, but is also correlated with higher costs associated with human illness, including increased health expenditures and time lost from work due to sickness in the recent past. We take these results as suggestive that the findings of more targeted studies are indeed generalizable beyond their original, purposively chosen samples.     

The nexus between gender,collective action for public goods and agriculture: evidence from Malawi

Across the developing world, public goods exert significant impacts on the local rural economy in general and agricultural productivity and welfare outcomes in particular. Economic and social‐cultural heterogeneity have, however, long been documented as detrimental to collective capacity to provide public goods. In particular, women are often underrepresented in local leadership and decision‐making processes, as are young adults and minority ethnic groups. While democratic principles dictate that broad civic engagement by women and other groups could improve the efficiency and effectiveness of local governance and increase public goods provision, the empirical evidence on these hypotheses is scant. This article develops a theoretical model highlighting the complexity of constructing a “fair” schedule of individual contributions, given heterogeneity in costs and benefits that accrue to people depending, for instance, on their gender, age, ethnicity, and education. The model demonstrates that representative leadership and broad participation in community organizations can mitigate the negative impacts of heterogeneity on collective capacity to provide public goods. Nationally representative household survey data from Malawi, combined with geospatial and administrative information, are used to test this hypothesis and to estimate the relationship between collective capacity for public good provision and community median estimates of maize yields and household consumption expenditures per capita. The analysis shows that similarities between the leadership and the general population in terms of gender and age, and active participation by women and young adult in community groups, alleviate the negative effects of heterogeneity and increase collective capacity, which in turn improves agriculture productivity and welfare.     

Road connectivity,population, and crop production in Sub‐Saharan Africa

This study adopts a cross‐sectional spatial approach to examine the relationship between transport infrastructure, population location, and agricultural production in Sub‐Saharan Africa using new data obtained from geographic information systems (GIS). We find that both population and agricultural production are spatially concentrated near large cities, with 41.4% of population and 23.6% of agricultural production (in value terms) within 2.5 hours travel time to large cities. Taking into account agroecological and other factors, we find a statistically significant association between travel time and agricultural production. Using coefficients estimated for Mozambique, we simulate the effects of hypothetical increases in road investments on travel times and agricultural production, suggesting that improvements in road infrastructure could facilitate a substantial increase in agricultural production.     

Annual and cropping season environmental production conditions effects on smallholder technical efficiency in sub‐Saharan Africa: Evidence from Ethiopia

This article investigates the impact of environmental production conditions on smallholder farmers’ technical efficiency in Ethiopia for wheat, maize, and sorghum farming. We use a household panel data set with annual and cropping season environmental production conditions to estimate the technical efficiency scores. The results show that including environmental production conditions in the stochastic frontier has a significant impact on farmers’ technical efficiency scores. Technical efficiency scores improve when environmental production conditions are incorporated in the stochastic frontier. Thus, accounting for environmental production conditions reduces the inefficiencies that otherwise may be attributed to the characteristics of smallholder farmers.     

Estimating the impact of farmer field schools in sub‐Saharan Africa: the case of cocoa

This study measures the economic impact of the first phase of the Cocoa Livelihood Program (CLP‐I), a current World Cocoa Foundation (WCF) project, sponsored by the Bill and Melinda Gates Foundation and aimed at improving the livelihood of over 200,000 small cocoa producers in sub‐Saharan Africa via training, crop diversification, and farmer‐based organizations. Using data collected from 2,048 pre‐ and post‐CLP‐I interviews of cocoa producers in Ghana, Cote d'Ivoire, Nigeria, and Cameroon, the results show that yield enhancements attributable to CLP‐I are 32%, 34%, 50%, and 62% in Ghana, Côte d'Ivoire, Nigeria, and Cameroon, respectively. Using a total program cost of $151–$200 per beneficiary and estimated annual benefits of $109–$322 per beneficiary over 25 years, the benefit‐cost ratios are estimated to range from $18 to $62 for every dollar spent on human capital development. These results suggest the WCF should endeavor to increase the number of farmers who receive all, not some, of the components of the program. This would not only help ensure that each producer obtains as much human capital as possible from each of the training programs but increases the probability of reaching the CLP goal of doubling the income of cocoa‐growing households.     

Gender and agricultural productivity: implications of the Farm Input Subsidy Program in Malawi

Alleviating gender differences in agricultural productivity is vital for poverty reduction. While numerous studies suggest that gender differences in agricultural productivity are a result of female farmers having limited access to resources, few studies investigate the role of agricultural interventions in alleviating the constraints to input use and subsequently the gender gap in productivity. This study investigates whether there are gendered gains in agricultural productivity from participating in an input subsidy program and if these gains help reduce the gender gap. Using nationally representative data that is disaggregated at the plot level, this study analyzes the large‐scale voucher‐based Farm Input Subsidy Program in Malawi. Focusing on the total value of output per hectare, relationships are identified using weighted estimators, where the weights are constructed from propensity scores, and spatial fixed effects, to address the unobservable factors that may confound the relationship between program participation and productivity. The findings suggest that participation in the program improves agricultural productivity for both male and female farmers but it does not provide disproportionate help to female famers to overcome gender disparities in agricultural productivity. This suggests that female farmers face additional constraints to productivity apart from nonlabor input use.     

Gender differences in agricultural productivity: the case of Tanzania

The article examines gender differences in agricultural productivity using panel data for Tanzania. At the national level, there is weak evidence of mean differences in productivity between male and female plots, but conditional on manager characteristics, plot characteristics, inputs, and crop choice, plots managed solely by a woman are consistently found less productive than all other plots. An Oaxaca‐Blinder‐type decomposition reveals that important factors explaining the gender differential are plot area and family labor. Women are able to obtain higher yields on smaller plots farmed with less male labor and more female labor and thus cover the gender gap in productivity at the aggregate level, but there are still significant unobservable factors which contribute to widening the gap.     

Gender inequalities in ownership and control of land in Africa: myth and reality

Lack of clarity behind measurement and interpretation of statistics on gender and land leads to an inability to clearly articulate a policy response to the potential inequalities faced by women and men. This article sets out to explore, conceptually and empirically, the levels and relative inequalities in land rights between women and men in African countries. The first section of the article engages in a conceptual discussion of how to measure gendered‐land outcomes, what ownership and control mean in different contexts, and why attention to these factors is important for the development of gender and land statistics. The second section of the article systematically reviews existing evidence from microlevel large sample studies to summarize recent trends in land access, ownership, and control by sex. The third section presents new statistics from a variety of nationally representative and large‐scale unpublished data on gender and land in Africa. Results provide not only a nuanced understanding of the importance of measuring land indicators for gendered development in Africa and globally but also new statistics on a variety of land outcomes to aid stakeholders in the discussion of gender‐land inequalities.     

Gender,control, and crop choice in northern Mozambique

Women play an important role in the agricultural production process in developing countries, yet their role in making decisions about what to grow and implications for household welfare remains poorly understood. In this article, I study women's empowerment in northern Mozambique as it relates to agriculture, considering in particular the factors associated with women managing the plots that they nominally control. Women control about 30% of the plots in the data, but only manage about 70% of those plots. Using a unique panel data set, I find that women are more likely to manage plots when households have had historic access to off‐farm labor, typically completed by men. When women manage plots, they tend to grow crops with less complicated production techniques and are less likely to grow the main area cash crop. However, conditional on historic access to off‐farm labor their farm incomes are the same as among men.     

Explaining gender differentials in agricultural production in Nigeria

This article uses data from the General Household Survey Panel 2010–2011 to analyze differences in agricultural productivity across male and female plot managers in Nigeria. The analysis utilizes the Oaxaca‐Blinder decomposition method, which allows for decomposing the unconditional gender gap into: (i) the portion caused by observable differences in the factors of production (endowment effect) and (ii) the unexplained portion caused by differences in returns to the same observed factors of production (structural effect). The analysis is conducted separately for the North and South regions, excluding the west of the country. The findings show that in the North, women produce 28% less than men after controlling for observed factors of production, while there are no significant gender differences in the South. In the decomposition results, the structural effect in the North is larger than the endowment at the mean. Although women in the North have access to less productive resources than men, the results indicate that even if given the same level of inputs, significant differences still emerge. However, for the South, the decomposition results show that the endowment effect is more important than the structural effect. Access to resources explains most of the gender gap in the South and if women are given the same level of inputs as men, the gap will be minimal. The difference in the results for the North and South suggests that policy should vary by region.     

Decomposition of gender differentials in agricultural productivity in Ethiopia

A number of studies document gender differentials in agricultural productivity. However, they are limited to region and crop‐specific estimates of the mean gender gap. This article improves on previous work in three ways. First, data representative at the national level and for a wide variety of crops is exploited. Second, decomposition methods—traditionally used in the analysis of wage gender gaps—are employed. Third, heterogeneous effects by women's marital status and along the productivity distribution are analyzed. Drawing on data from the 2011–2012 Ethiopian Rural Socioeconomic Survey, we find an overall 23.4 percentage point productivity differential in favor of men, of which 13.5 percentage points (57%) remain unexplained after accounting for gender differences in land manager characteristics, land attributes, and access to resources. The magnitude of the unexplained fraction is large relative to prior estimates in the literature. A more detailed analysis suggests that differences in the returns to extension services, land certification, land extension, and product diversification may contribute to the unexplained fraction. Moreover, the productivity gap is mostly driven by non‐married female managers—particularly divorced women—; married female managers do not display a disadvantage. Finally, overall and unexplained gender differentials are more pronounced at mid‐levels of productivity.     

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.     

Soil and water conservation technologies: a buffer against production risk in the face of climate change? Insights from the Nile basin in Ethiopia

This study investigates the impact of different soil and water conservation (SWC) technologies on the variance of crop production in Ethiopia to determine the risk implications of the different technologies in different regions and rainfall zones. Given the production risks posed by climate change, such information can be used by decision makers to identify appropriate agricultural practices that act as a buffer against climate change. Results show that SWC investments perform differently in different rainfall areas and regions of Ethiopia and that the effectiveness of technologies such as irrigation, fertilizer, and improved seeds often depends on whether these investments are coupled with SWC measures. These results underscore the importance of the selection of appropriate combinations of technologies and careful geographical targeting when promoting and scaling up SWC technologies for adaptation to climate change.     

Estimating Bird Damage to Rice in Africa: Evidence from the Senegal River Valley

Granivorous birds, mainly the Red‐billed Quelea, have subsisted on cereal crops in Africa for centuries and have caused substantial damage. There is, however, limited recent evidence on their impact. We propose an indirect method to estimate bird‐inflicted crop losses by fitting a production function with a damage abatement component and pest intensity slope dummies on a panel database of rice farmers in the Senegal River Valley. This allows us to estimate both bird damage and marginal productivity of bird control at different levels of bird pressure. Annual bird damage is found to average around 13.2% of the potential rice production during the wet seasons of 2003–2007, which translates into an average annual economic loss of 4.7 billion FCFA (€7.1 million). Our results are consistent with farmers’ perceived bird‐inflicted crop losses, averaging 15.2%. More alarmingly, we observe declining marginal productivities of bird control under increasing bird pressure. Farmers indicate that at high bird pressure, the efficacy of traditional bird scaring methods is inadequate, which suggests that predictive (monitoring), preventive (population control) and protective (insurance) measures against massive invasions are more urgent than improving the average efficacy of curative measures (pest control). These findings are especially relevant to farmers and policy‐makers who are currently struggling to implement an ambitious food self‐sufficiency programme in Senegal.     

Sharecropping efficiency in Ethiopia: threats of eviction and kinship

We tested a theoretical model with the Marshallian inefficiency (H1) and threat of eviction (H2) hypotheses having opposite effects on land productivity on sharecropped plots. The model also assumes that kinship contracts may eliminate or reduce the Marshallian inefficiency (H3) and threat of eviction (H4) effects on land productivity. Our empirical findings were consistent with H2 and H4 being true. We found higher land productivity on sharecropped plots than on share tenants' own plots and higher land productivity on sharecropped plots of nonkin than of kin tenants. The nature of the data allowed controlling for unobservable household characteristics through household fixed effects and for observable plot characteristics. Analyses with and without plot characteristics revealed that these findings were stronger with plot characteristics than without them. Based on the plausible assumption that observable plot characteristics are positively correlated with unobservable plot characteristics this strengthens our conclusion. The results are also supported by first-order stochastic dominance analysis. Sharecropped plots' output value distribution unambiguously dominated the output value distribution from share tenants' own plots. Nonkin sharecropped plots' output value distribution also first-order stochastically dominated the output value distribution from kin sharecrop plots.     

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.     

Modeling climate change and agriculture: an introduction to the special issue

This issue of Agricultural Economics is a special issue containing articles on model performance in assessing the effects of climate change, bioenergy policy, and socioeconomics on agriculture. The contributions present results from a global economic model intercomparison activity undertaken as part of the AgMIP Project ( www.agmip.org ). The origins of the comparison activities can be traced to a project that was organized by the OECD in late 2010 to compare results from three models. The current phase of the research includes 10 models and was designed in part to support of the IPCC fifth assessment report (AR5). The special issue includes seven peer‐reviewed articles that present thematic results from a range of modeling strategies, with partial and general equilibrium modeling as a high level distinction but a myriad of differences within these two model types. A central common element is harmonization on biophysical effects using crop models and socioeconomic effects using drivers from the Shared Socioeconomic Pathways developed as part of the AR5 process. The special issue provides broad insights into how the modeling communities approached the interactions of climate, socioeconomics, bioenergy policy on agricultural outcomes, including land use, prices, consumption, and production.     

Assessing Total Factor Productivity Growth in Sub‐Saharan African Agriculture

The importance of the agricultural sector in the economic development process is well known. Improvements in agricultural productivity are often found to spill into other areas of a developing economy, potentially improving the standards of living of urban and rural workers alike. Given the importance of this sector, accurate measures of total factor productivity (TFP) across countries can be helpful in identifying conditions, institutions or policies that promote agricultural development. In this article, we estimate TFP growth in agriculture for a panel of 39 sub‐Saharan African countries from 1961 to 2007. We also develop a set of development outcome measures theoretically consistent with strong agricultural performance to serve as external validation of our results. We find that three estimation methods (stochastic frontier, generalised maximum entropy, and Bayesian efficiency) generate relative rankings that are consistent with the development outcome measures, providing external validation of the methods. However, the data envelopment analysis approach performs poorly in this regard.