Nonfarm employment,agricultural intensification,and productivity change: empirical findings from Uganda

This article uses panel data from the Living Standards Measurement Study‐Integrated Surveys on Agriculture for Uganda to assess the farm‐level effects of nonfarm employment on agricultural intensification and productivity change. A sample selection model is used to account for both unobserved heterogeneity and potential simultaneity between agricultural production and nonfarm income. Results show that nonfarm employment can have differential impacts on farm technology intensity and productivity. Nonfarm income is found to have a positive impact on farm hired labor and improved seed intensity; a negative effect on on‐farm family labor use; and no significant impact on fertilizer, soil water management, and joint use of farm technologies. The econometric evidence also indicates that agricultural productivity declines as nonfarm income increases. Taken together, our findings reveal important trade‐offs between nonfarm employment and income and farm productivity growth under smallholder agriculture. The results indicated that targeted policies are required to reduce these potential trade‐offs between nonfarm employment and agricultural intensification and productivity change.     

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.     

Income distribution in rice–growing villages during the post-Green Revolution periods: the Philippine case, 1985 and 1998

This paper aims to examine changes in household income sources and its impact on household income distribution in the post‐Green Revolution periods in 1985 and 1998 in the rural Philippines. We found that there has been a structural shift of household income away from farm in favor of nonfarm labor income sources. This finding indicates that rural development is being led by nonfarm sectors. Such a shift has resulted in an increase in household income inequality as the distribution of nonfarm income has become less equal over time and was markedly more unequal than that of farm income in 1998.     

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.     

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.     

Effect of modern rice varieties and irrigation on household income distribution in Nepalese villages

Since high-yielding modern rice varieties (MVs) are adopted only in favorable production environments, significant regional productivity differentials have emerged in Nepal. This study explores the distributional consequences of such differential MV adoption based on an intensive survey of favorable and unfavorable villages. We found that MV adoption increased returns to land but decreased family labor earnings from rice production, as it facilitated the substitution of hired for family labor. As a result, the differential MV adoption did not significantly worsen the household income distribution according to the results of the counterfactual Gini decomposition analysis.     

Land rental markets and labor productivity: Evidence from rural China

This study investigates the impact of the land rental market on labor productivity in rural China. Particular attention is given to farm and nonfarm labor productivity. Using 2012 household‐level data and a multinomial endogenous switching treatment regression technique, we find that rural households renting in farmland increased labor productivity in the farm sector by about 55%, whereas labor productivity in the nonfarm sector decreased by about 6%. We also find that rural households renting out farmland had lower labor productivity in both the farm and nonfarm sectors by 13% and 9%, respectively. More family labor transferred from the farm to the nonfarm sector after renting out land.     

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.     

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.     

Poverty decline, agricultural wages, and nonfarm employment in rural India: 1983–2004

We analyze five rounds of National Sample Survey data covering 1983, 1987/1988, 1993/1994, 1999/2000, and 2004/2005 to explore the relationship between rural diversification and poverty. Poverty in rural India has declined at a modest rate during this time period. We provide region-level estimates that illustrate considerable geographic heterogeneity in this progress. Poverty estimates correlate well with region-level NSS data on changes in agricultural wage rates. Agricultural labor remains the preserve of the uneducated and also to a large extent of the scheduled castes and scheduled tribes. We show that while agricultural labor grew as a share of total economic activity over the first four rounds, it had fallen back to the levels observed at the beginning of our survey period by 2004. This all-India trajectory also masks widely varying trends across states. During this period, the rural nonfarm sector has grown modestly, mainly between the last two survey rounds. Regular nonfarm employment remains largely associated with education levels and social status that are rare among the poor. However, casual labor and self-employment in the nonfarm sector reveals greater involvement by disadvantaged groups in 2004 than in the preceding rounds. The implication of this for poverty is not immediately clear—the poor may be pushed into low-return casual nonfarm activities due to lack of opportunities in the agricultural sector rather than being pulled by high returns offered by the nonfarm sector. Econometric estimates reveal that expansion of the nonfarm sector is associated with falling poverty via two routes: a direct impact on poverty that is likely due to a pro-poor marginal incidence of nonfarm employment expansion; and an indirect impact attributable to the positive effect of nonfarm employment growth on agricultural wages. The analysis also confirms the important contribution to rural poverty reduction from agricultural productivity, availability of land, and consumption levels in proximate urban areas.     

Contract farming: opportunity cost and trade‐offs

An important literature has established that participation in contract farming leads to higher incomes and has a number of other beneficial effects on the welfare of participating households. Yet no one has looked at the opportunity cost of and the various trade‐offs involved in participating in contract farming. I look at the relationship between participation in contract farming and income from (i) livestock, (ii) labor markets, (iii) nonfarm businesses, and (iv) agricultural sources other than livestock and contract farming and (v) unearned income. Using data from Madagascar, I find that participation in contract farming is associated with a 79% decrease in how much income per capita the average household derives from labor markets and a 47% decrease in how much income per capita it derives from nonfarm businesses, but also with a 51% increase in how much income per capita the average household derives from agricultural sources other than livestock and contract farming, possibly due to technological spillovers. Thus, even though contract farming has been shown to improve welfare in multiple ways in this context, it looks as though those gains come at the cost of an “agricultural involution” on the part of participating households, who seem to turn away from non‐agricultural activities. This has important implications for structural transformation narratives.     

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.     

Examining rural income and employment in Bangladesh: A case of structural changes in the rural nonfarm sector in a developing country

This study uncovers some important stylised facts about the structural changes in the rural nonfarm (RNF) economy in Bangladesh for the period 2000–2016 and identifies some broad determinants. Our work uses household-level, secondary sources such as Household Income and Expenditure Survey, Labour Force Survey and Bangladesh Integrated Household Survey. We find that the positive relationship between landownership and rural income has become weaker in recent years, indicating the increasing role of nonland inputs in generating rural income. The share of RNF income in total rural income has increased substantially over the years. The increase in nonfarm income is largely driven by the nonfarm wage income of the richer households, indicating adverse distributional consequences. There are also indications for specialisation in nonfarm activities—the share of income from the ‘mixed’ sources of farm and nonfarm has decreased, and the ‘only nonfarm’ source has increased. Households tend to move away from agriculture and specialise in RNF occupations as the education level increases. Our results offer important insights into rural development strategies and contribute to the broader questions of the development discourse on the structural changes in developing countries.     

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.     

New evidence regarding the effects of contract farming on agricultural labor use

Contractual agreements between smallholder farmers and agribusiness companies have gained in importance in many developing countries. While productivity and income effects of contracting in the small farm sector were analyzed in many previous studies, labor market and employment effects are not yet well understood. This is an important research gap, especially against the background of continued population growth and structural transformation. Here, we investigate the effects of two types of contractual agreements between large international processing companies and smallholder farmers on agricultural labor use, household labor allocation, and hired labor demand in Ghana's palm oil sector. We use cross‐sectional survey data and a willingness‐to‐pay approach to control for unobserved heterogeneity between farmers with and without contracts. We find that agricultural labor intensity is substantially reduced through the contracts, because contracting in Ghana is associated with the adoption of labor‐saving procedures and technologies. Simple marketing contracts lead to reallocation of the saved household labor to off‐farm employment, whereas resource‐providing contracts lead to a stronger reallocation of labor within the farming enterprise. Household labor is more affected by labor savings than hired labor.     

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.     

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.     

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.     

A System Comparison Approach to Distinguish Two Nonseparable and Nonnested Agricultural Household Models

This study distinguishes two nonseparable agricultural household models for a self-employed farm household. One assumes heterogeneity of farm and nonfarm labor and a competitive market for nonfarm labor. The other assumes homogeneity of the two types of labor and a restricted market for nonfarm labor. We compare demand systems that are derived from them, which have different dependent variables and different numbers of equations. We apply a Cox-type test to compare these complicated nonnested systems. Results show clearly that the former is better for Japanese rice-farming households. Comparison of price elasticities for those models verifies the importance of that test.     

Self‐protection from weather risk using improved maize varieties or off‐farm income and the propensity for insurance

We investigate how self‐protection from the adoption of Improved Maize Varieties (IMV) and off‐farm income affects risk premiums for smallholder maize producers in Uganda. To unbundle these effects, we specify the cost of risk to explicitly capture four risk components—mean, variance, skewness, and kurtosis. Using unique plot‐level panel data for Uganda, we estimate and test moments of a flexible production function based on an expanded form of the Johnson S_U family distribution and proceed to simulate the degree of responsiveness of risk premiums and welfare estimates to marginal changes in the share of land under IMV and off‐farm income. Scenarios of joint adoption of IMV accompanied with low and high application of inorganic fertilizer, and the effect of off‐farm income when there is high and low supply of farm labor are examined. Results show that the use of IMV and off‐farm income substantially reduces risk premiums and the individual effect is much higher under low fertilizer application and high supply of farm labor, respectively. Thus implying that self‐protection is likely to reduce the propensity for index insurance especially if its design fails to consider the reduction in downside risk.