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.     

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.     

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.     

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.     

The impact of the 2005–2010 rice price increase on consumption in rural Bangladesh

This article studies the impact of the rice price increase between 2005 and 2010 on consumption in rural Bangladesh. Using the Household Income and Expenditure Survey (HIES) data, we compare net rice buyers and sellers to self‐sufficient households. To identify the effect of rice price changes on household consumption of rice, nonrice food and nonfood items, we employ a difference‐in‐differences (DiD) technique. Our findings indicate that the surge in domestic rice prices between 2005 and 2010 reduced the nonrice food consumption of net rice buyer households by 7%, compared to the households who are self‐sufficient in rice production. However, it did neither affect their rice nor their nonfood consumption. In contrast, while we find no significant effect of rice price increases on the rice consumption of net rice sellers, we observe a 9% increase in their nonrice food consumption. In such situation, a subsidy on low‐quality rice may be effective in fulfilling the nutritional requirement of low‐income households.     

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.     

Nonfarm diversification,poverty, economic mobility,and income inequality: a case study in village India

This article assembles data at the all‐India level and for the village of Palanpur, Uttar Pradesh, to document the growing importance, and influence, of the nonfarm sector in the rural economy between the early 1980s and late 2000s. The suggestion from the combined National Sample Survey and Palanpur data is of a slow process of nonfarm diversification, whose distributional incidence, on the margin, is increasingly pro‐poor. The village‐level analysis documents that the nonfarm sector is not only increasing incomes and reducing poverty, but appears as well to be breaking down long‐standing barriers to mobility among the poorest segments of rural society. Efforts by the government of India to accelerate the process of diversification could thus yield significant returns in terms of declining poverty and increased income mobility. The evidence from Palanpur also shows, however, that at the village‐level a significant increase in income inequality has accompanied diversification away from the farm. A growing literature argues that such a rise in inequality could affect the fabric of village society, the way in which village institutions function and evolve, and the scope for collective action at the village level. Failure to keep such inequalities in check could thus undermine the pro‐poor impacts from the process of structural transformation currently underway in rural India.     

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.     

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.     

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.     

我国农村居民收入分配差距新变化

本文利用最新中国家庭收入调查数据,分析2013—2018年我国农村居民收入分配的新状况,使用无条件分位数回归方法,讨论农村收入差距变化的主要原因。研究发现,2013—2018年我国农村居民收入显著增长,农村内部收入差距呈现一定的扩大趋势。市场化收入贡献率下降是农村内部差距上升的主要原因,低收入群体市场化收入增速下降、高收入群体要素回报率上升,导致这一时期农村收入差距有所扩大。本文建议加大政策扶持力度,稳定农产品市场价格,促进低收入群体收入稳定增长。要充分发挥农村高收入群体的作用,带动低收入农民致富增收,并有效缩小农村收入差距。     

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.     

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.     

Patterns of Rural Development: A Cross‐Country Comparison using Microeconomic Data

This article proposes a general pattern of rural development in which increases in per capita income are associated with a decline in the importance of agricultural production and a rise in the importance of non‐agricultural income sources. Following the approach to examining Engel’s Law, we use data from 15 developing countries and a merged dataset to test whether such a pattern emerges. The analysis shows a strong, positive relationship between per capita income and the share of income earned from rural non‐agricultural wage employment and a negative relationship between per capita income and agricultural production.     

Cash crop choice and income dynamics in rural areas: evidence for post‐crisis Indonesia

In this article we investigate the factors affecting levels and growth of incomes in rural Indonesia following the crisis of 1997–1998. In particular, we investigate the relative roles of nonfarm incomes and productivity improvements achieved via changes in crops versus improvements on the same crops on income dynamics. Framing the article in the context of an optimal labor allocation model, relying on unique household panel data from Central Sulawesi, and using advanced panel econometric methods, we find that local innovations related to the adoption and intensification of new cash crop varieties, more specifically the shift from coffee to cocoa production, can explain a substantial part of the observed post‐crisis developments. Causal estimates of the effect of growing cocoa suggest that households were on average able to achieve about 14% higher income levels during the post‐crisis period compared to the planting of other crops, most notably coffee. Also, our results demonstrate the importance of engagement in nonfarm activities for household income growth. Comparative analyses using a nationally representative survey suggest that similar processes are at play in other parts of Indonesia.     

Quantifying rural livelihood strategies in developing countries using an activity choice approach

This article uses a quantitative activity choice approach, based on identification of activity variables and application of latent class cluster analysis, to identify five major rural livelihood strategies pursued by households (n= 576) in Bolivia, Nepal, and Mozambique. Income sources and welfare outcomes are compared across strategies and household differences in asset holdings are analyzed using multinomial logit regression. Findings reveal that income diversification is the norm, that a higher degree of specialization does not characterize more remunerative livelihood strategies, that nonfarm income significantly contributes to higher income earnings, that environmental reliance does not vary across strategies, and that small‐scale farmers are the largest and poorest livelihood group. Some livelihood strategies are superior to all other strategies in terms of income earned; access to more remunerative livelihood strategies is determined by land ownership, education, and ethnic affiliation. Finally, the article also highlights that additional work is required to determine the most suitable methods for livelihood strategy identification.     

集体林区农户收入不平等状况分析——基于辽宁省林改农户调查数据

根据辽宁省5个县3年农户数据的洛伦兹曲线、基尼系数的结果,判断出调查区农户收入差距在加大。文章运用Shapley值计算调查区农户收入结构对收入不平等状况的影响,结果显示,造成农户收入差距的主要因素是非农工作以及农民的教育水平,林改对农户收入的影响主要是通过对农户造林或是转出行为起作用的结果,林改为农户创造了较为公平的多样的收入渠道。     

Effect of off‐farm income on smallholder commercialization: panel evidence from rural households in Ethiopia

This article investigates how off‐farm income affects crop output market participation decisions and marketed surplus of smallholder farmers in Ethiopia. A double‐hurdle model is estimated using three waves of panel data from the Ethiopian Rural Household Survey. Unobserved heterogeneity is controlled for using a correlated random effect procedure and potential endogeneity of explanatory variables using a control function approach. The results show that off‐farm income has no significant influence on household crop output market participation. However, conditional on market participation, additional off‐farm earnings negatively affect the marketed surplus. This indicates that farmers use off‐farm earnings for consumption rather than for investment in agricultural production. Policy measures that promote rural investment may help increase returns to labor for land‐poor households participating in off‐farm work in the process of agricultural commercialization.     

A Comparison of the Economic Well-Being of Farm and Nonfarm Households

This study compares the economic well-being of farm and nonfarm households using data from the Agricultural Resource Management Survey and the Survey of Consumer Finances. Comparisons are made in terms of income and wealth using parametric and nonparametric tests, regression analyses, and inequality measures. The results show that the economic well-being of households differs based on their degree of involvement in business activities and their life-cycle stages. The main conclusion is that the income of rural residence and intermediate farms is comparable to that of wage-earning nonfarm households, while commercial farms are similar in well-being to nonfarm households with businesses.     

浅析农村居民收入与消费

农村居民收入增长缓慢和农村消费潜力未得到有效刺激日益成为制约农村经济发展的瓶颈。本文介绍了我国农村居民收入与消费的状况及相互关系,并据此提出提高农民收入促进消费的对策建议。