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.     

Consumption inequality between farm and nonfarm households in Taiwan: a decomposition analysis of differences in distribution

Consumption has been recognized as a more reliable indicator of household well‐being than income. Although a considerable body of literature has examined income inequality between farm and nonfarm households, little is known about inequality in consumption. This research aims to fill this knowledge gap by investigating consumption disparity between farm and nonfarm households. Using a nationally representative household survey from Taiwan, we apply an unconditional quantile regression‐based decomposition method to decompose the differences in the distribution of household expenditure between these farm and nonfarm households. The results indicate that differences in the observed characteristics between these two types of households explain most of the consumption inequality. Moreover, the difference in the education level of the farm operator, household income, and the degree of urbanization are particularly important.     

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.     

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.     

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.     

STABILITY IN FARM INCOMES

The primary aim of this study has been to measure the extent of income variability in United Kingdom agriculture; to determine whether variability has been diminished; to compare the incidence of variability on various types of farm; to consider to what extent individual farm have consistent or divergent experience of income variation; and to determine whether net incomes generally move in the same direction as the prices of farm products. A secondary aim has been to determine whether income variation in agriculture is greater or less than in other sectors within the United Kingdom and within the United States. Income variation has been found to be roughly twice as large in the farm sector as in other sectors and in all sectors variation was less in the second half of the period studied.     

Income Diversification of Rural Households in China

This article examines how different patterns of farm‐level diversification affect the income levels of rural households in China. Using quantile regression analysis of data from a rural household survey, the empirical results exhibit significant differences in diversification effects across rural income strata and various structural characteristics. Diversification, especially involving nonfarm employment and migration, brings a monetary premium to low‐income rural families and an income discount to high‐income families. The policy implications suggest the encouragement of labor‐intensive enterprises in rural areas and improvement of labor quality through rural education and training programs.     

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.     

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.     

On Measuring Farmers' Economic Weil-Being

A measure broader than net farm income has been used to examine the economic well-being of farmers. The composite measure incorporating farm returns to labor and management, off-farm income, and net worth values, shows Canadian farmers' economic well-being has improved in real terms since 1967. However, disparity in the measure among provinces has increased. Off-farm income and annuities of net worth have increased in importance, relative to the total economic well-being measure, though at different rates in different provinces, and should not be ignored in agricultural policies and programs.
Two related issues require further attention. One is to examine the interaction of money income and asset ownership within the farm sector; the other is to provide comparison groups in the non-farm sector which take into account money income and net worth. The annuity approach to net worth may provide an appropriate instrument for comparison.     

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.     

RELATIVE RATES OF RESOURCE RETURNS FOR ONTARIO COMMERCIAL FARMS - A FARM TO NONFARM COMPARISON, 1971–1974

This study examines the rates of return to resources in commercial agriculture in Ontario relative to the rates of return that similar resources could expect to earn in the nonfarm sector. Farm returns, which are defined to include net farm income plus capital gains to farm real estate, are measured for a selected group of Ontario farms over a four year period from 1971 to 1974. Two farm to nonfarm returns comparisons are made, based on comparable nonfarm earnings for farm resources calculated in terms of 1) a self-employment standard, and 2) a wage-earner-stockholder standard. Each comparison examines four return components for both farm and nonfarm returns: the labour return, the management return, the investment yield, and capital gains. Returns ratios are calculated, both including and excluding capital gains, to compare farm to nonfarm returns for each comparison. The overall returns comparisons indicate that rates of return to resources in commercial agriculture are generally quite close to comparable nonfarm rates of return, with capital gains constituting an important component of farm returns. At the same time the returns comparisons reveal a high degree of variability of rates of return among farms and over time. La présente étude compare les taux de rémunération des ressources des l'agriculture commerciale en Ontario et qu'engendreraient ces mêmes ressources dans un secteur d'activité non agricole. Les revenus agricoles, que Ton définit comme la somme du revenue net d'un exploitant et des gains provenant de ses placements immobiliers, ont étéévalués en Ontario pour un groupe d'exploitations pendant une période de quatre ans, 1971 à 1974. Deux normes de revenus non agricoles, à savoir l'entreprise privée et le salariéactionnaire, ont été retenues et compareées avec le revenu de l'exploitant agricole. Chaque norme comporte quatre éléments de rémunération: le travail, la gestion, le rendement de l'investissement et les gains en capitaux. Les rapports ont été calculés pour chaque norme de deux façons, avec ou sans les gains en capitaux, afin de comparer les revenus agricoles aux revenus non agricoles escomptés. La comparaison générate montre que dans l'ensemble le taux de revenu des ressources de l'agriculture commerciale se rapproche de ceux escomptés pour les activités non agricoles, et que les gains en capitaux constituent une bonne part des revenus de l'exploitant agricole. En outre, l'analyse révèle un degréélevé de variabilité des taux de revenu en fonction des divers exploitants et du facteur temps.     

Horticulture exports, agro-industrialization, and farm–nonfarm linkages with the smallholder farm sector: evidence from Senegal

In this article we address the question of farm–nonfarm linkages at the household level in Senegal. We examine whether increasing off-farm employment opportunities for rural households—resulting from increased horticulture exports and associated agro-industrialization—has benefitted the smallholder farm sector through investment linkages. We use data from a household survey in the main horticulture export region in Senegal. We find that access to unskilled employment in the export agro-industry has contributed to the alleviation of farmers' liquidity constraints, resulting in increased smallholder agricultural production.     

THE VARIABILITY OF NET FARM INCOME*

The movements in, and variability of, net farm income over time have considerable impact on the agricultural sector. But variability of income is quite dificult to measure in a satisfactory and objective way. In this note, a previous study (by R. B. Jones) of the variability of net farm income is sunimarised and discussed. Following this, a different approach, involving the use of various time series, is considered. Although the period covered differs from that used by R. B. Jones, his general conclusions remain unaltered. However, the analysis does suggest a definite rise in relative variability since 1963–4. It is felt that the alternative method used has some advantages over the other methods, especially in enabling tests of significance to be used to assess if observed changes are significant, and if the basic underlying assumptions are tenable.     

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.     

MEASURING THE RELATIVE INCOME OF FARM LABOUR, 1941–611

This is an analysis of farm labour income at an aggregate level for the period 1941 to 1961. The income of farm labour was estimated for paid workers, operators or self-employed workers, and total paid and unpaid workers, These incomes were compared with five sub-sectors of the nonfarm economy and for five geographical regions. In estimating income, adjustments were made for the age and sex composition of labour force, bours of work in various industries, movement of prices of inputs and output, and period of employment of farm workers. The results show significant differences in incomes of various categories of workers, and incomes of farm workers compared to various sub-sectors of the nonfarm economy. Similarly, various regions were found to. be highly heterogeneous with respect to relative labour income levels. When the farm and nonfarm sectors were adjusted for differences in characteristics, the labour income ratio of Canadian agriculture on a normalized man equivalent basis ranged between 41 and 63 percent.     

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.     

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.     

The effect of nonfarm income on investment in Bulgarian family farming

This article documents a relationship between nonfarm income (primarily earnings and pensions) and agricultural investment in Bulgaria, specifically, expenditures on working capital (variable inputs such as feed, seed, and herbicides) and investment in livestock. Among those with positive spending on farm inputs, the estimated elasticity of these expenditures with respect to nonfarm income is 0.14. Nonfarm income also has an effect on the number of households that purchase farm animals, with an estimated elasticity of 0.35. The use of nonfarm income for farm investment is consistent with the presence of credit constraints, as is the fact that less than one percent of farmers report outstanding debts for agricultural purposes. Yet many farm households take out large unsecured loans for other purposes, primarily to cover consumption expenditures, implying that credit is available, but that farmers prefer not to use borrowed funds to finance agricultural investment. This would suggest that increases in the availability of agricultural credit may have little effect on farm outcomes, whereas increases in nondebt-financed sources of liquidity, such as subsidies or transfers, may better stimulate investment.