Land constraints and agricultural intensification in Ethiopia: A village-level analysis of high-potential areas

Highland Ethiopia is one of the most densely populated regions of Africa and has long been associated with both Malthusian disasters and Boserupian agricultural intensification. This paper explores the race between these two countervailing forces, with the goal of inform two important policy questions. First, how do rural Ethiopians adapt to land constraints? And second, do land constraints significantly influence welfare outcomes in rural Ethiopia? To answer these questions we use a recent household survey of high-potential areas. We first show that farm sizes are generally very small in the Ethiopian highlands and declining over time, with young rural households facing particularly severe land constraints. We then ask whether smaller and declining farm sizes are inducing agricultural intensification, and if so, how. We find strong evidence in favor of the Boserupian hypothesis that land-constrained villages typically use significantly more purchased input costs per hectare and more family labor, and achieve higher maize and teff yields and higher gross income per hectare. However, although these higher inputs raise gross revenue, we find no substantial impact of greater land constraints on net farm income per hectare once family labor costs are accounted for. Moreover, farm sizes are strongly positively correlated with net farm income, suggesting that land constraints are an important cause of rural poverty. We conclude with some broad policy implications of our results.     

High rural population density Africa – What are the growth requirements and who participates?

A large and increasing proportion of agricultural growth in Africa must come from continuous gains in land productivity in areas of high population density and hence with already relatively high yields. What that requires is analogous to the green revolution in Asia. Several features differentiate the African situation. Those include greater diversity in cropping pattern including a historically larger and more widespread tropical commodity export sector. The physical infrastructure in rural Africa is far inferior to that of most Asian countries. While the greater diversity of agriculture calls for a larger and more diverse institutional structure the reality is that the research systems, the ancillary education systems to spread innovation and the rural financial systems are generally greatly inferior to those of Asia at the beginning of the green revolution. Ethiopia’s record of a steady six to seven percent growth for agriculture and nearly halving of rural poverty demonstrates that with the right policies and investments a very poor country starting with poor physical and institutional infrastructure can bring a major contribution from agriculture growth to increased GDP and reduced poverty. As in Asia, the bulk of accelerated agricultural growth will come from small commercial farmers. They have sufficient farm income to reach or exceed the poverty level. Those are farms with, depending on the country, as little as 0.75 hectares to a few tens of hectares of land. They comprise up to half the rural population and produce on the order of 70–80 percent of agricultural output. They are in general not poor. The poor have inadequate land to reach the poverty level, initially with much underemployment, and with substantial non-farm employment. The primary driver of poverty reduction is the small commercial farmer spending on the order of half of increased income on nontradable, employment intensive goods and services from the rural non-farm sector.     

Impact of off-farm income on food security and nutrition in Nigeria

While the poverty implications of off-farm income have been analyzed in different developing countries, much less is known about the impact of off-farm income on household food security and nutrition. Here, this research gap is addressed by using farm survey data from Nigeria. Econometric analyses are employed to examine the mechanisms through which off-farm income affects household calorie and micronutrient supply, dietary quality, and child anthropometry. We find that off-farm income has a positive net effect on food security and nutrition. The prevalence of child stunting, underweight, and wasting is lower in households with off-farm income than in households without. Using a structural model, we also show that off-farm income contributes to higher food production and farm income by easing capital constraints, thus improving household welfare in multiple ways.     

How does population density influence agricultural intensification and productivity? Evidence from Malawi

This article uses nationally representative household-level panel data from Malawi to estimate how rural population density impacts agricultural intensification and household well-being. We find that areas of higher population density are associated with smaller farm sizes, lower real agricultural wage rates, and higher real maize prices. Any input intensification that occurs seems to be going to increasing maize yields, as we find no evidence that increases in population density enable farmers to increase gross value of crop output per hectare. We also find evidence that households in more densely populated areas increasingly rely on off-farm income to earn a living, but there appears to be a rural population density threshold beyond which households can no longer increase off-farm income per capita.     

Is the internet penetration pro-poor? Evidence from a panel data analysis

The impacts of internet use on income and poverty status are contentious despite extensive research efforts. This paper re-examines these influences using five-wave panel data extracted from the Vietnam Access to Resources Household Survey (VARHS). A two-step system called Generalized Methods of Moments (GMM) and Propensity Score Matching (PSM) is the primary metric for estimating internet-income and internet-poverty correlations. The analysis revealed that internet use assisted rural households, including the poor ones, in fostering their livelihoods in the 2008–2016 period: (1) internet access increased the average annual household income per capita by 4.5 million Vietnamese dongs, accounting for at least 17% of the overall income; (2) it decreased the probability of being poor by around 4%. This study suggests that the universalisation of the internet, along with improvements in digital literacy and digital applications provided for rural dwellers, particularly the needy, should be essential for poverty reduction programmes in the context of developing countries.     

Are African households (not) leaving agriculture? Patterns of households’ income sources in rural Sub-Saharan Africa

This paper uses comparable income aggregates from 41 national household surveys from 22 countries to explore the patterns of income generation among rural households in Sub-Saharan Africa, and to compare household income strategies in Sub-Saharan Africa with those in other regions. The paper seeks to understand how geography drives these strategies, focusing on the role of agricultural potential and distance to urban areas. Specialization in on-farm activities continues to be the norm in rural Africa, practiced by 52 percent of households (as opposed to 21 percent of households in other regions). Regardless of distance and integration in the urban context, when agro-climatic conditions are favorable, farming remains the occupation of choice for most households in the African countries for which the study has geographically explicit information. However, the paper finds no evidence that African households are on a different trajectory than households in other regions in terms of transitioning to non-agricultural based income strategies.     

The impact of household food consumption data collection methods on poverty and inequality measures in Niger

Many countries are faced with the problem of monitoring poverty indicators when different food data collection methodologies have been used in national household surveys over the years. This paper provides a comprehensive analysis of this problem in the case of Niger. The paper assesses the impact of three methods of food data collection on the welfare distribution, and poverty and inequality measures in Niger. The study leverages a food consumption experiment to evaluate the three methods of food data collection implemented in the country’s most recent national household surveys. The first method was 7-day recall, the second was usual month, and the third was 7-day diary. The study finds that there was a large difference in measures of consumption and poverty between the first two methods (which yielded similar results) and the 7-day diary method. Annual per capita consumption from the 7-day recall method was, on average, 28 percent higher than that from the 7-day diary method. This gap exists not only at the mean of the distribution, but at every level. The observed differences in measured annual per capita consumption leads to differences in poverty and inequality measures even when alternate poverty lines are used.     

Change and diversity in smallholder rice–fish systems: Recent evidence and policy lessons from Bangladesh

Efforts to unlock the genetic potential of both rice and fish, when combined with improvements in the management of rice–fish systems, can potentially increase agricultural productivity and food security in some of the poorest and most populous countries in Asia. In Bangladesh, estimates suggest that the country’s potential rice–fish production system encompasses 2–3 million hectares of land. But despite three decades of research on biophysical and technical aspects of rice–fish systems, this potential has not been fully realized due to insufficient attention given to the social, economic, and policy dimensions of rice–fish system improvement. This paper provides a characterization of the diverse and changing nature of rice–fish systems in Bangladesh to shed new light on the economic viability of different rice–fish systems and recommend policy and investment options to accelerate the development of appropriate rice–fish technologies. Data are drawn from a novel subdistrict-level survey of fishery officers, a household/enterprise survey, focus group discussions, and a meta-review of the literature on aquaculture in the country, all of which were conducted in 2010–2011. Findings indicate that concurrent rice–fish systems, alternating rice–fish systems, and collectively managed systems offer considerable potential for increasing productivity and farm incomes in Bangladesh. Findings also suggest that while innovation in these rice–fish systems is being driven by households and communities, there is need for more supportive government policies and investments to enable further innovation. Policymakers need to develop effective regulations to promote feed and fish quality and quantity, for example. More rigorous analysis of the intended and unintended impacts of these policies and investments is also necessary.     

Does farm structure affect rural household incomes? Evidence from Tanzania

Many African countries have recently experienced rapid growth in the numbers of medium- and large-scale farms. These developments have generated considerable speculation about the impacts of farmland concentration and inequality on smallholder households and communities. This study exploits inter-district variation in farm landholding patterns in Tanzania to determine how differences in localized farmland structure affect rural household incomes using nationally representative household panel survey data. Because farm structure is a multifaceted concept, five alternative indicators of farmland structure are defined for 142 districts in Tanzania: (i) the Gini coefficient; (ii) skewness; (iii) coefficient of variation; (iv) share of controlled farmland under medium-scale farms; and (v) share of controlled farmland under large farms. These alternative farm structure variables are included in models of rural household income to test their effects after controlling for available household and community covariates. The study highlights four main findings. First, most indicators of farmland concentration are positively associated with rural household incomes. Second, household incomes from farm and non-farm sources are positively and significantly associated with the share of land in the district controlled by farms in the 5–10 and 5–20 ha category. Third, these positive spillover benefits are smaller and less statistically significant in districts with a relatively high share of farmland controlled by farms over 20 ha in size. Fourth, poor rural households are least able to capture the positive spillovers generated by medium-scale farms and by concentrated farmland patterns.     

Impact of tissue culture banana technology on farm household income and food security in Kenya

While tissue culture (TC) technology for vegetative plant propagation is gradually gaining in importance in Africa, rigorous assessment of broader welfare effects for adopting smallholder farm households is lacking. Using survey data and accounting for selection bias in technology adoption, we analyze the impact of TC banana technology on household income and food security in Kenya. To assess food security outcomes, we employ the Household Food Insecurity Access Scale (HFIAS) – a tool that has not been used for impact assessment before. Estimates of treatment-effects models show that TC banana adoption, combined with improved crop management, causes considerable increases in farm and household income. Technology adoption also reduces relative food insecurity in a significant way. These results indicate that TC technology can be welfare enhancing for adopting farm households. Adoption should be further promoted through upscaling appropriate technology delivery systems.     

Supermarket contracts and smallholder farmers: Implications for income and multidimensional poverty

Food systems in developing countries are changing rapidly with a growing role of modern supermarkets. Supermarkets influence supply chains and the way agricultural products are sourced from farmers. Especially for the procurement of fresh fruits and vegetables, supermarkets often contract farmers directly to ensure consistent and high-quality supply. One important question, which is addressed here, is whether smallholder farmers benefit from supermarket contracts. Previous studies address this question, but mostly focus on income effects without exploring implications for other dimensions of household welfare, such as nutrition, health, or housing conditions. Moreover, most existing studies rely on cross-section data. We add to the literature by analyzing effects of supermarket contracts on income and multidimensional poverty using three rounds of panel data collected from smallholder vegetable farmers in Kenya and econometric models with household fixed effects. On average, supermarket contracts increase household income by over 40%. We also find significant reductions in income poverty and multidimensional poverty. Quantile regressions show that farmers in all income groups benefit, but richer households benefit more than poorer ones in absolute terms. However, supermarket contracts cause the strongest reductions in multidimensional deprivations among the poorest households.     

Agricultural technology adoption and poverty reduction: A propensity-score matching analysis for rural Bangladesh

This study aims at shedding some light on the potential impact of agricultural technology adoption on poverty alleviation strategies. It does so through an empirical investigation of the relationship between technological change, of the Green Revolution type, and wellbeing of smallholder farm households in two rural Bangladeshi regions. As technology adoption is not randomly assigned but there is ‘self-selection into treatment’, the paper tackles a methodological issue in assessing the ‘causal’ effect of technology on farm-household wellbeing through the non-parametric ‘p-score matching analysis’. It pursues a targeted evaluation of whether adopting a modern seed technology causes resource-poor farmers to improve their income and decrease the propensity to fall below the poverty line. It finds a robust and positive effect of agricultural technology adoption on farm household wellbeing suggesting that there is a large scope for enhancing the role of agricultural technology in ‘directly’ contributing to poverty alleviation.     

Internet diffusion in sub-Saharan Africa: A cross-country analysis

In this paper, the notions of digital inequality and digital divide have been employed to describe two levels of Information and Communications Technologies (ICTs) access. On the one hand is the inequality of access to the cluster of technology measured by Internet use and on the other are the confluence of skills and other resources that differentiate countries in sub-Saharan Africa. Using cross-country data, hypotheses are tested within a simultaneous equation system. The paper confirms the vital importance of telecommunications infrastructure represented by the high correlation of telephone density with Internet irrespective of per capita income level of the country.     

Impact of off-farm labor supply on food expenditures of the farm household

Farm households diversify their income sources by working off the farm. This is a risk management strategy that is used by farm households in both developed and developing countries. Income diversification via off-farm work is associated with higher incomes and food consumption. However, little is known about the association between off-farm work and farm household food expenditures. In an effort to bridge this gap, this study attempts to assess the impact of off-farm work decisions by the operator and/or the spouse on the food expenditures of the farm household. Using a nationwide farm household survey in the United States and new econometric method, we find that the decisions of the operator and/or the spouse to work off the farm are significantly interrelated (29%). However, these two decisions affect food expenditures in different ways. The operator’s off-farm work decision is positively related to food expenditures, while the spouse’s decision is negatively associated with expenditures on food by the farm household.     

Self-reported food insecurity in Africa during the food price crisis

This article analyzes data on self-reported food insecurity of more than 50,000 individuals in 18 Sub-Saharan African countries over the period 2005–2008, when global food prices increased dramatically. The average level of self-reported food insecurity was high but remarkably stable over time, at about 54%. However, this average hides large heterogeneity, both within countries and across countries. In eight of the sample countries, self-reported food security improved, while it worsened in the ten other countries. Our results suggest that heterogeneous effects in self-reported food security are consistent with economic predictions, as they are correlated with economic growth and net food consumption (both at the household and country level). Specifically, in the face of rising food prices, self-reported food security improved on average in rural households, while it worsened in urban households – a finding that holds when using global prices or domestic food prices. Improvements in food security over time were also positively correlated with net food exports and GDP per capita growth. While the self-reported indicator used in this paper requires further study and one should carefully interpret the results, our findings suggest the need for a critical evaluation of the currently used data and numbers in the public debate on food prices and food insecurity.     

Assessing the impact of improved agricultural technologies on household income in rural Mozambique

In many areas of Africa, rural livelihoods depend heavily on subsistence farming. Using improved agricultural technologies can increase productivity in smallholder agriculture and thus raise household income and reduce poverty. Data from a nationally representative rural household survey from 2005 is used to assess the impact of four technologies – improved maize seeds, improved granaries, tractor mechanization, and animal traction – on household income in Mozambique. To ensure the robustness of the results, three econometric approaches were used: the doubly-robust estimator, sub-classification and regression, and matching and regression. The results show that, overall, using an improved technology did not have a statistically significant impact on household income. This may be associated with a widespread drought that occurred in 2005. Despite drought, distinguishing between households based on propensity score quintiles revealed that using improved technologies, especially improved maize seeds and tractors, significantly increased the income of those households who had better market access. Thus, to allow households to benefit from the use of improved technologies, policy makers need to reduce structural impediments to market participation by ensuring adequate road infrastructure and enabling access to markets.     

Supply chains and economic development: Insights from the Indian dairy sector

With almost three quarters of the labor force depending on agriculture in India, kick-starting agricultural growth is considered crucial for pro-poor development. More specifically, dairy production – which is labor-intensive but does not heavily rely on access to land – is generally expected to offer better prospects for income growth to the poorest among rural households. However, most policies aimed at increasing dairy production are based on ad hoc observations, with hardly any micro-level evidence. Using a unique primary dataset on 1000 rural households in Andhra Pradesh, this paper investigates the dairy production system, addressing three main research questions: First, we look at the typical profile of a dairy farmer and we find that both family traditions in dairy and owning (even a small piece of) land play a role in determining participation in dairy – while land size does not matter. Second, we show that dairy production is strongly and positively associated with improvement in rural livelihoods, in terms of income per capita, but that this positive relation only holds for larger dairy farms. In a third step, we look at the determinants of farm growth and we find that households having higher shares of graded dairy animals have grown more after 2005.     

Information communications technology and economic growth in Sub-Saharan Africa: A panel data approach

This research empirically analyzed the impact of mobile phone and the Internet on per capita income of Sub-Saharan Africa (SSA) for the period of 2006–2015 using a panel data of 40 countries. We have employed the robust two-step system GMM. Results showed that growth in mobile phone penetration has contributed significantly to the GDP per capita of the region after controlling for a number of other variables. A 10% increase in mobile phone penetration results in a 1.2% change in GDP per capita. Therefore, improving access to mobile phones will play a critical role in reducing the poverty level of the region through raising the per capita income of the population.However, the Internet has not contributed to the per capita GDP during the study period. The insignificant impact of the Internet could be due to low penetration of the technology, low ICT skill of Internet users, lack of or insufficient local content on the global network, and the relatively immature state of the technology in the region. Therefore, governments and other stakeholders should design policies that encourage expansion of the Internet. In addition to improving Internet access, policies which focus on ICT skill development and local content creation should also be designed and implemented.     

Non-farm work and food security among farm households in Northern Ghana

This paper examines the impact of non-farm work on household income and food security among farm households in the Northern Region of Ghana. We analyze the impact by employing propensity score matching method that accounts for self-selection bias. The matching results show that participation in non-farm work exerts a positive and statistically significant effect on household income and food security status, supporting the widely held view that income from non-farm work is crucial to food security and poverty alleviation in rural areas of developing countries.