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.     

Effect of changes in population density and crop productivity on farm households in Malawi

This study examines the ex‐ante farm‐household effects of changes in family size, yield potential, and yield gaps using a farm‐household simulation model that reflects the economic and biophysical conditions of central Malawi. Disparities between growth in human population and crop yields present challenges for farm‐household crop production and income in sub‐Saharan Africa. We focus on the effect of growth in yield potential and a more efficient use of livestock manure as approaches to improving crop production and incomes in the face of looming population pressures. Our results suggest that, even without considering climate change, expected changes in population density and crop prices in 2050 mean that per person crop production and income may fall by 21% compared to 2013 values if yield potential and yield gaps remain constant. However, per person crop production and income could increase in 2050 by 8% compared to 2013 values if (1) growth rates of yield potential rise for maize by 1.13% each year and for legumes rise by at least 0.4% each year, and (2) farmers use livestock manure more efficiently. Our foresight approach to considering crop production at the farm‐household scale supplements macro‐scale analyses of the production dimension of food security.     

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.     

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.     

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.     

Effects of Non‐Farm Employment on Rural Income Inequality in Developing Countries: An Investment Perspective

This paper makes several points based on a review of household survey evidence from Africa, Asia and Latin America. (i) In contrast to conventional wisdom, the evidence is very mixed as to the effect of non‐farm employment on rural income inequality. The non‐farm employment and microenterprise programmes now in vogue will not necessarily resolve rural income inequality problems and attendant social tensions nor automatically benefit the poor. (ii) Policymakers should be worried by substantial evidence of poor people's inability to overcome important entry barriers to many non‐farm activities. (iii) The main determinants of unequal access to non‐farm activities are the distribution of capacity to make investments in non‐farm assets and the relative scarcity of low capital entry barrier activities. Therefore, it is crucial for public investments and policy to favour an increase in the access of the poor to assets that allow them to overcome non‐farm employment entry barriers, (iv) It would be an error to assume that one can address asset‐poverty and inequality in the non‐farm sector without addressing farm‐side problems and vice versa.     

Rural household incomes and land grabbing in Cambodia

This paper empirically quantifies environmentally augmented rural household incomes in Cambodia and analyzes how economic land concessions (ELCs) affect such incomes. Data is derived from a structured survey of 600 randomly selected households in 15 villages in three study sites in Cambodia, where local livelihoods are highly reliant on access to land and natural resources, supported by qualitative data from focus group discussions. Gini coefficient decomposition, multiple regression models, and propensity score matching (PSM) models were employed to analyze the composition of income portfolios, determinants of major income sources, and the impacts of land grabbing on incomes. Results documented high reliance on environmental income (32–35% of total household income) and farm income (51–53%) across income quartiles; demonstrated the variation in product composition across quartiles and the contribution of each major product to income inequality; and identified the main household characteristics influencing absolute and relative incomes. ELCs were found to consistently have negative impacts on household total income, environmental income, size of available cultivable land and livestock holdings, and increasing the distance to forests. The total household annual income subjects to ELCs were estimated to decrease by 15–19%. While providing some employment opportunities, we find no evidence of positive income effects of ELCs on households in the areas where ELCs are located.     

Public Policy in the 21st Century: Is Prairie Agriculture Becoming Like Any Other Industry? Does it Matter?

The question addressed in this paper is whether Prairie agriculture has become "like any other industry". The implication is that a positive response would lead to the conclusion that it should therefore be treated "like any other industry" rather than being accorded the special status that it has enjoyed for more than a century
We show that, as net farm incomes have declined over the past 35 years, Prairie farmers have responded by seeking other (non-farm) sources of income. At the time of the 1996 census, net farm income accounted for only 31 percent of farm family income (down from 75 percent in 1967). By 1999, the contribution of net farm income was even lower than in 1996
In spite of the dwindling contribution of net farm income to farm family income, average farm family income in Saskatchewan has exceeded average provincial household income for all but two years between 1971 and 1998, Under these circumstances, it is necessary to ask why it is in the public interest to subsidize an activity which, in recent good times, produced 31 percent of the income of a subset of the population whose household incomes were 10–15 percent above the provincial average
Based on income levels, it is probably no longer necessary to accord farm families special status in the public policy arena. However, other policy considerations (immobility of resources, the role of agriculture in the rural economy, environmental considerations, food safety and security, for example) remain, differentiating agriculture from other industries     

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.     

Farmers’ Income and Production Responses to Rural Taxation Reform in Three Regions in China

The relationship between agricultural taxation and production efficiency has been thoroughly explored for many countries. Recently, China has taken various measures including the rural taxation reform (RTR) to promote grain production and to increase farmer incomes. In this study, we investigate whether the Chinese policy of abolishing rural taxation has improved farm households’ incomes and affected their production decisions. Using household survey data obtained from three regions in China, we estimate the effect of the RTR on farmers’ income. Results show that the RTR has significantly improved farmers’ post‐tax net income by 9.2% in Shandong, 16.9% in Shanxi and 16.8% in Zhejiang. These increments, mostly from farm income rather than from off‐farm income, are much higher than the direct income increase from the tax savings. In addition, we examine the dynamic impact of farmers’ net income, and find that the RTR has a sustained positive income effect in Shandong and Shanxi, whereas its positive effect in Zhejiang appears temporary. We also examine farmers’ production responses to the RTR. Results show that farmers in the three regions respond in different ways: farmers in Shandong significantly increase their labour input, farmers in Zhejiang increase intermediate inputs, whereas Shanxi farmers augment their intermediate inputs and enlarge their crop acreage. It appears that the farmers’ responses to the taxation reform vary due to the agronomic and economic factors in these three regions, suggesting that diverse post‐RTR supplemental policies should be implemented in different regions.     

贫困地区农业结构调整对农民收入的影响——重庆五区县实证分析

本文利用重庆贫困地区5个区县619户农户实地调查资料,着重从农产品商品率和现金收入的变化,分析了农业结构调整对贫困地区农户人均纯收入的影响。同时探讨了农业结构调整对农户增收的影响因素。经过计算和分析认为:农民人均纯收入的变化中,贡献率最大的是外出打工等工资性收入,农业纯收入增量的贡献率不到1/3。且农业纯收入增量中,由于商品率提高带来的现金收入增量也不到一半。因此可以说,农业结构调整对农户收入的提高产生了一定影响,但作用有限。另外,农村基础设施建设,如道路、电力通讯等设施建设是影响农业结构调整对农民增收作用的重要因素。     

Off‐farm labor market decisions and agricultural shocks among rural households in Kenya

Using household level data from rural Kenya, this article explores whether and how farm households respond to unfavorable agricultural production environments, including any ex post adjustments in off‐farm labor supply in response to unexpected weather shocks. While controlling for a wide range of educational, demographic, and other locational factors, we examine how long‐term weather conditions and specific rainfall shocks influence a household's decision to engage in, and their earnings from, the off‐farm labor market. We find that rural households engage in off‐farm work as a long‐term strategy to deal with the effects of anticipated weather conditions on their farming operations. The analysis does not reveal major short‐term adjustments in off‐farm engagement as a result of specific, unexpected rainfall shocks; these households do however rely on remittance income and petty agricultural wage labor under these circumstances. Holding other factors constant, and conditional on participation, households in areas with a more productive local agriculture tend to earn more from off‐farm work especially in the informal/business sector than their counterparts in regions with a less productive agriculture. As expected, a vibrant local economy in the form of public investment increases the probability of off‐farm participation.     

Contract farming,contract design and smallholder livelihoods*

Contract farming has gained in importance in many developing countries. Previous studies analysed effects of contracts on smallholder farmers’ welfare, yet mostly without considering that different types of contractual relationships exist. Here, we examine associations between contract farming and farm household income in the oil palm sector of Ghana, explicitly differentiating between two types of contracts, namely simple marketing contracts and more comprehensive resource-providing contracts. Moreover, we look at different income sources to better understand how both contracts are linked to farmers’ livelihood strategies. We use cross-sectional survey data and regression models. Issues of endogeneity are addressed through measuring farmers' willingness-to-participate in contracts and using this indicator as an additional covariate. Farmers with both types of contracts have significantly higher household incomes than farmers without a contract, yet with notable differences in terms of the income sources. Farmers with a marketing contract allocate more household labour to off-farm activities and thus have higher off-farm income. In contrast, farmers with a resource-providing contract have larger oil palm plantations and thus higher farm incomes. The findings suggest that the two contract types are associated with different livelihood strategies and that disaggregated analysis of different income sources is important to better understand possible underlying mechanisms.     

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.     

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.     

Off-farm labor supply responses to permanent and transitory farm income

A sample of Iowa farm couples is used to evaluate whether off‐farm labor supply decisions respond to permanent and transitory components of farm income. Off‐farm labor supply of both spouses declines in response to increases in permanent farm income. Farm wives also reduce off‐farm labor supply in response to positive transitory farm income shocks. Consequently, one mechanism farm households use to smooth their goods consumption when facing fluctuating farm income is to modify their consumption of leisure. Ability to smooth goods consumption does not imply the absence of liquidity constraints among farm households unless leisure consumption is also smoothed.     

Stability of Farm Income and the Role of Nonfarm Income in U.S. Agriculture

This study measures the variability in real net farm income in the U.S. agricultural sector and per farm and determines if variability has diminished over 1933 to 1999. Second, the role of nonfarm income in reducing the variability in total farm household income is examined. Results indicate that the variability in real net farm income in the sector and at the farm level has not diminished and that nonfarm income has helped to reduce the variability in total farm household income.     

Policies for sustainable development in the hillside areas of Honduras: a quantitative livelihoods approach

In this article, we use data for 376 households, 1,066 parcels, and 2,143 plots located in 95 villages in the hillside areas in Honduras to generate information needed by decision makers to assess the needs and opportunities for public investments, and design policies that stimulate natural resource conservation. We develop a quantitative livelihood approach, using factor and cluster analysis to group households based on the use of their main assets. This resulted in seven household categories that pursue similar livelihood strategies. We use a multinomial logit model to show that livelihood strategies are determined by comparative advantages as reflected by a combination of biophysical and socioeconomic variables. While 92% of the rural hillsides population in Honduras lives on US$1.00/capita/day or less, households that follow a livelihood strategy based on basic grain farming are the poorest because they often live in isolated areas with relatively poor agro‐ecological and socioeconomic conditions. Opportunities for off‐farm work tend to be limited in these areas and household strategies that combine on‐farm work with off‐farm work earn higher incomes. Per capita incomes can be increased by improving road infrastructure, widening access to land, policies that reduce household size and dependency ratios, and adoption of sustainable land management technologies that restore soil fertility. We used probit models to show that the latter can be promoted by agricultural extension programs and land redistribution. Investments in physical assets should be directed toward households that pursue livelihood strategies based on off‐farm employment or coffee production, while agricultural training programs are best focused on livestock producers.     

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.