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.     

Rural nonfarm activities and agricultural crop production in Nigeria

Although most rural households are involved in the farm sector, the nonfarm sector has grown significantly in recent decades, and its role in rural development has become increasingly important. This article examines the effect of participation in nonfarm activities on crop expenses of farm households in Nigeria. The relationship is modeled using a nonseparable agricultural household model that suggests that participating in nonfarm activities can relax the credit constraints facing farm households and reduce risk thereby helping households improve farm production and smooth consumption over time. The results show that participation in nonfarm activities by Nigerian farmers has a positive and significant effect on crop expenses and in particular on payments for hired labor and inorganic fertilizers. Separate analysis of the six geopolitical zones in Nigeria indicates that it is in the South-South and South-East zones where nonfarm participation appears to induce more hiring of labor. The results support the hypothesis that nonfarm participation helps relax liquidity constraints but suggests how that liquidity is used is zone-specific. In general, the results also indicate that liquidity is used more to pay for inputs into staple production as opposed to cash crops.     

The increasing importance of nonfarm income and the changing use of labor and capital in rice farming: the case of Central Luzon, 1979–2003

There have been sharp increases in nonfarm income among farm households in Central Luzon for the last few decades. This study attempts to identify the effects of the increasing nonfarm income on the use of tractors and threshers and on the employment of hired labor as a substitute for family labor. We found that while the increased nonfarm income positively affects the ownership of tractors, it has no significant impact on the use of agricultural machines due presumably to the development of efficient machine rental markets. We also found that the increased nonfarm income leads to the increased use of hired labor, thereby releasing family labor to nonfarm jobs.     

The role of nonfarm income in coping with the effects of drought in southern Mozambique

To reduce their dependence on subsistence agriculture, farm households in rural Africa may diversify their income sources by participating in the nonfarm sector. In years of drought, nonfarm income can also be part of the coping strategies. A multivariate sample selection model was used to analyze three years of data from a nationally representative household survey in Mozambique. The analysis was guided by the following three questions. During a drought year: (1) Do households increase their participation in nonfarm activities? (2) Are poorer households as likely as others to participate in and benefit from nonfarm activities? and (3) Which factors are associated with higher nonfarm incomes? The results suggest that households are more likely to engage in at least one nonfarm income‐generating activity during a drought year. Although poorer households are more likely to engage in nonfarm activities, they are less likely to participate in nonfarm activities of high return. The results suggest that policies reducing entry barriers (e.g., improved road infrastructure, micro‐credit schemes, and livestock promotion programs) and increasing education levels can facilitate income diversification, thus allowing rural households to better cope with the effects of drought. When designing polices, care must be taken to avoid exacerbating income inequality by targeting measures toward poorer and female‐headed households.     

How has microcredit supported agriculture? Evidence using panel data from Bangladesh

Improving agricultural productivity has received a greater attention in recent years amid concerns about rising food insecurity, population pressures, and climate change. Many believe that better access to institutional credit, spanning microcredit as well as commercial and agricultural banks, can help rural households smooth risks, and access inputs and other technology to modernize agriculture and improve farm/nonfarm linkages. We use recently augmented household panel data spanning over 20 years in Bangladesh to examine the effects of rural credit expansion (both microcredit and formal bank channels) on outcomes for agricultural households. We find that microcredit has benefited households with lower landownings, raising agricultural income from activities such as livestock rearing that require less land, as well as nonfarm income diversification for all households, but with the strongest effect for landless or near‐landless households. We do not find effects of microcredit on crop income, but do, however, find that reported supply‐side credit constraints significantly lower crop income. Borrowing by both men and women has contributed to nonfarm income growth for marginal farmers, but only men's borrowing has contributed to nonfarm income growth among higher landowning groups.     

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.     

Modeling household behavior in developing countries: discussion

A large and growing body of literature has examined how agricultural households cope with risk. Much of the work has focused on which types of households are better able to smooth consumption, testing whether households with more resources and greater access to income-smoothing institutions, such as credit markets or well-functioning labor markets exhibit greater consumption smoothing. However, income shocks may have different effects upon different individuals within households, and differences in individual ability to smooth income or consumption may have welfare consequences which go beyond foregone income. The development of collective household models challenges the assumption that individuals within households maximize a single utility function. The assumption of income pooling has also been rejected in a growing body of empirical research on intrahousehold resource allocation. However, research on risk-pooling within households and differences in individual abilities to smooth consumption is relatively new. Selected papers are discussed.     

Enhancing food security through diet quality: The role of nonfarm work in rural India

India has achieved food security at the macro level. However, at the micro level, the country still struggles with extensive problems of food nutrition insecurity. In this paper, we assess the impact of nonfarm income and nonfarm work status (casual and full-time nonfarm work) of operator, spouses, and couples on the diet quality of smallholder households in India. We find that nonfarm income decreases the likelihood of farming household being in the poor-diet quality group by 31% and the medium-diet quality group by 3%. Full-time nonfarm work by operators and spouses decreases the likelihood of farming households being in the poor-diet quality group by 3% and 9%, respectively. Finally, national programs like public food distribution programs increase the probability of rural farming households in the poor-diet quality group. Findings from this study underscore the importance of nonfarm income and full-time nonfarm work in improving diet quality of rural Indian households.     

Rural nonfarm income and its impact on agriculture: evidence from Albania

Using data from the 2005 Albania Living Standards Measurement Study (ALSMS05) survey, this article analyzes the overall impact of household nonfarm income-generating activities (RIGA) on agricultural expenditures as well as technical efficiency of rural farm households. We also differentiate the impact for subsistence and commercial farmers, who are in the top 25% of the distribution of value of annual agricultural sales. Our results show that on the whole, Albanian rural households utilize their nonfarm earnings not to invest in time-saving, efficiency-increasing technologies, but to move out of crop production. We derive similar findings when we try to estimate the same relation separately for commercial and subsistence farmers. However, for commercial farmers, we find a positive impact of household nonfarm earnings on livestock expenditures.     

Is off-farm income reforming the farm? Evidence from Mexico

Does access to off-farm income complement or compete with agricultural production? This article explores the effect of off-farm income on agricultural production activities, using data from the 2003 Mexico National Rural Household Survey. We first discuss the theoretical conditions under which access to off-farm income may influence production in an agricultural household model. Instrumental-variable (IV) estimation methods are then used to test whether agricultural production activities, technologies, and input use differ between households with and without access to off-farm income. We find that off-farm income has a negative effect on agricultural output and the use of family labor on the farm, but a positive impact on the demand for purchased inputs. There is also a slight efficiency gain in households with access to off-farm income. Findings offer insights into how household production evolves as rural households increasingly engage in off-farm income activities.     

Participation and returns in rural nonfarm activities: evidence from the Kyrgyz Republic

This article uses two representative household budget surveys from the Kyrgyz Republic to analyze factors influencing participation and returns from different types of nonfarm activities in 2005 and 2006. We use the double hurdle and Heckman models, which allow us to demonstrate that a number of variables has different effects on participation and income from nonfarm activities. For example, residing in remote areas and lack of capital are found to stimulate participation in nonfarm activities, but decrease nonfarm income. Results are robust, but using the Heckman model seems to produce more accurate results for returns to education and gender under the presence of selection bias. Overall, nonfarm activities are found to be most important for the poor, who are pushed out of agriculture due to limited and poor land resources. This indicates that equipping poor households to enable them to move towards better remunerative nonfarm activities should be a priority for Kyrgyz rural policy makers.     

Wage and employment effects of Malawi's fertilizer subsidy program

This article uses three waves of nationally representative household‐level panel data from Malawi to estimate how a large‐scale fertilizer subsidy program impacts the agricultural labor market, known as ganyu in that country. I find that when looking across the entire population of smallholders, receiving an additional 100 kg of subsidized fertilizer causes the average household to supply about three fewer days of ganyu. The fertilizer subsidy program also has a small positive effect on the probability that a household demands agricultural labor, with the results approaching statistical significance. In addition, a 10 kg increase in the average amount of subsidized fertilizer acquired per household in a community boosts the median agricultural wage rate by 1.4% in that community. The increase in wage rates translates to a US $1.40 per year increase in average household income in the years after Malawi's subsidy program was scaled up, and a US $1.86 per year increase in average household income for those who sold their labor before the subsidy program was scaled up. This finding suggests that households who sell their labor off farm may experience some small spillover benefit from the program in the form of higher agricultural wage rates.     

Mobile money,agricultural marketing,and off‐farm income in Uganda

Mobile money (MM) services can contribute to welfare gains in smallholder farm households. Previous research showed that one important pathway for these MM‐related welfare gains is through higher remittances received from relatives and friends. Here, the role of other impact pathways is examined, especially focusing on agricultural marketing and off‐farm economic activities. The analysis builds on panel data from smallholder coffee farmers in Uganda. Regression models show that the adoption of MM technology has contributed to higher household incomes and consumption levels. Off‐farm income gains are identified to be an important pathway, also beyond remittances. Typical off‐farm income sources are small businesses in trade, transport, and handicrafts, which benefit from novel savings and money transfer opportunities through MM. In terms of agricultural marketing, MM users sell a larger proportion of their coffee as shelled beans to buyers in high‐value markets, instead of selling to local traders immediately after harvest. MM services help to reduce cash constraints and facilitate transactions with buyers from outside local regions. In conclusion, MM can contribute to rural development through various important pathways. Analysis of adoption patterns suggests that MM services are socially inclusive.     

集体林权改革制度下农户劳动力分配情况分析——基于辽宁省农户调查数据

利用辽宁省5个县农户2000、2006、2010年的面板数据,进行林改前后农户劳动力分配变化、产权安全对农户就业影响的回归分析,结果表明:林改后随着户均林地面积的增加,农户增加了对林业的投工,林业生产与非农就业存在一定程度的替代性,但随着农户年龄、教育水平的增长,非农就业,特别是工资性劳动的投工呈增长趋势;产权安全的增长对农户加强林业生产有正相关关系。     

China's booming livestock industry: household income, specialization, and exit

China's production of livestock products has generally kept pace with her rapidly increasing demand. Over-supply and market corrections for various livestock products took place over the latter part of the 1990s and large numbers of householders exited this type of production. Using household survey data, we estimate the relationship between a household's specialization in livestock production and household net income in 1995, and use a logit model to explore some predictors of household exit from livestock production over the following decade of market instability. We conclude that specialist livestock households with access to necessary skills, technologies, and markets increase their incomes from further livestock specialization in the base year, whereas those to whom livestock production is relatively unimportant can increase household incomes by diverting their resources away from animal husbandry. It was specialist rather than diversified livestock households that tended to bear the brunt of the adjustment to unfavorable price movements over the decade post-1995. Policy concerns include the exit of larger-scale specialized producers who tended to earn relatively high household incomes in 1995, barriers to the effective formation and operation of horizontal and vertical integration options to help mitigate market instability, the further development of insurance programs and markets for livestock producers, and development assistance to livestock households that for various reasons cannot increase scale and specialization.     

Does human capital raise farm or nonfarm earning more? New insight from a rural Pakistan household panel

This study explores how human capital affects farm household earnings using two tools to refine measurement of human capital effects. First, it employs a two‐sector model to allow the allocation of family labor between farm and nonfarm activities. Second, it accounts for village fixed effects to evaluate whether results from panel data differ meaningfully from a cross‐sectional data analysis with local binary variables. The results show that education has a negligible effect on farm earnings; instead, experience appears to be the principal channel by which human capital affects agricultural performance in a traditional rural setting. Our results also suggest that prior models that fail to separate nonfarm activities spuriously exaggerated the effect of education to the farm sector. In addition, typical cross‐sectional analyses that ignore fixed effects may cause the effects of education on rural household earnings to be significantly overstated. The fact that panel data regressions accounting for village‐level fixed effects found only one instance of education raising earnings—the effect of literacy on nonfarm income—suggests that considerable heterogeneity may have been ignored in cross‐sectional data analyses, especially ones that omitted village‐level effects.     

The dynamics of Chinese rural households' participation in labor markets

The work is devoted to the dynamics of labor market participation of Chinese rural households. Based on a theoretical farm household framework the choice between four distinct labor market participation states is empirically analyzed. Using household data over the period 1995–2002 from the province Zhejiang we apply a discrete time hazard approach to analyze households' labor market participation histories. In particular, we investigate the movements between autarky and participation in general and, more specifically, the shifts between part-time and full-time farming. Estimation results suggest significant duration dependence, more precisely, a decreasing risk of moving from one state to another with an increasing time a household occupies one of these states. Further, the likelihoods of starting any participation in labor markets and to start part-time farming are considerably higher than to end participation or to return to full-time farming. In addition, we find that labor market participation decisions are significantly related to several household and farm characteristics.     

Does nonagricultural labor relax farmers’ credit constraints? Evidence from longitudinal data for Vietnam

We examine the relationship between participation in nonagricultural labor activities and farming production decisions, focusing on the use of inputs. Using longitudinal data for Vietnam from 1993 to 1998, we find that households engaged in nonagricultural labor spend significantly more on seeds, services, hired labor, and livestock inputs. This is consistent with the hypothesis that nonagricultural labor income relaxes credit constraints to farming.     

Farm households and nonfarm activities in Ethiopia: does clustering influence entry and exit?

This article examines how clustering affects the entry and exit decisions of farm households into and from nonfarm enterprises in rural Ethiopia. We find that the existence of clusters of microenterprises in the same district increases the likelihood of a rural household to start a nonfarm enterprise. Similarly, clustering of big manufacturing firms in the same zone is found to increase the likelihood of farm households to start a nonfarm enterprise. Nonfarm enterprises operating in clusters are also found to have a lower probability of exit than those operating outside of clusters. The study further investigates the impact of entry and exit into and from nonfarm enterprises on farm household's well‐being using as indicators total household income, the food security status of a household, and the household's ability to raise enough money in case of emergency. Using propensity score matching to account for selection bias, we find that entry into nonfarm enterprises significantly increases household's income and food security status. Exit from nonfarm enterprises, on the other hand, is found to significantly reduce household's income.     

Linkages between the farm and nonfarm sectors at the household level in rural Ghana: a consistent stochastic distance function approach

This article explores the effects within households of an expanding rural nonfarm (RNF) sector in Ghana. We ask whether the growing RNF sector allows for economies of diversification within farms, how it affects household input demands, and whether it has measurable effects in overall household production efficiency. We explore the intrahousehold linkages between agricultural and RNF activities, first assuming perfectly competitive input and output markets and then with market failures, in particular missing labor and credit markets. We then measure these linkages using a household level input distance function, finding high levels of inefficiency in Ghanaian farms. Also, there are cost-complementarities between the RNF sector and the agricultural sector, particularly with food crops in which the poorest tend to specialize. The expansion of the RNF sector increases demand for most inputs including agricultural land. Finally, we show that smaller farms tend to be more efficient, and that RNF output is helping the farm household to become more efficient, but the latter result is not robust.