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

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

The impact of migration on rural poverty and inequality: a case study in China

Large numbers of agricultural labor moved from the countryside to cities after the economic reforms in China. Migration and remittances play an important role in transforming the structure of rural household income. This article examines the impact of rural‐to‐urban migration on rural poverty and inequality in a mountainous area of Hubei province using the data of a 2002 household survey. Since migration income is a potential substitute for farm income, we present counterfactual scenarios of what rural income, poverty, and inequality would have been in the absence of migration. Our results show that, by providing alternatives to households with lower marginal labor productivity in agriculture, migration leads to an increase in rural income. In contrast to many studies that suggest that the increasing share of nonfarm income in total income widens inequality, this article offers support for the hypothesis that migration tends to have egalitarian effects on rural income for three reasons: (1) migration is rational self‐selection—farmers with higher expected return in agricultural activities and/or in local nonfarm activities choose to remain in the countryside while those with higher expected return in urban nonfarm sectors migrate; (2) households facing binding constraints of land supply are more likely to migrate; (3) poorer households benefit disproportionately from migration.     

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.     

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

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

Rural nonfarm 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.     

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.     

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.     

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 effects of China's Sloping Land Conversion Program on agricultural households

In the late 1990s, China aimed to mitigate environmental degradation from agricultural production activities by introducing the world's largest “Payments for Environmental Services? program: the Sloping Land Conversion Program (SLCP). We develop a microeconomic Agricultural Household Model, which can model the production, consumption, and nonfarm labor supply decisions of agricultural households in rural China in a theoretically consistent fashion. Based on this theoretical model, we derive an empirical specification, which we econometrically estimate using the Hausman–Taylor method and a large longitudinal farm household data set. The empirical results significantly differ between regions, but are generally consistent with the results of our theoretical comparative static analysis, for example, that the SLCP significantly decreases agricultural production. While the SLCP only increases nonfarm labor supply and total consumption in some regions, these effects could not be observed in others. The recent reduction of the SLCP compensation payment rates generally had negligible effects on agricultural production and off‐farm work and only very small effects on household consumption.     

Impact of off‐farm income on food expenditures in rural Bangladesh: an unconditional quantile regression approach

This study examines the effects of off‐farm income on food expenditures of rural Bangladeshi households. Our analysis yields unbiased estimates of the unconditional impact of off‐farm income on food expenditures and reveals the heterogeneous effects that occur across the distribution of total food consumption expenditures. The findings suggest that the impacts of off‐farm income are uniformly positive across the unconditional quantile regression and significantly increase food consumption expenditures for all quantiles, except for the 25th quantile. In addition, we found that schooling, experience, and location of the household increase the food expenditures of rural households. Most importantly, this article argues that female‐headed rural households in which the female works off the farm tend to have significantly lower food expenditures.     

贫困地区农户对自然灾害风险规避和响应分析

[目的]研究影响贫困地区农户应对自然灾害风险,减少经济损失的因素,并分析农户采取应对损失的措施。[方法]利用2015年云南、贵州和陕西3省6县经历过自然灾害的819农户作为研究对象。采用Logit模型研究影响贫困地区农户有效规避自然灾害风险的因素,并进一步分析农户在遭受自然灾害后采取的响应策略。[结果]研究表明农户户主的受教育程度越高、与外界市场接触越紧密,则农户规避自然灾害风险能力越强;农户收入中农业收入比重高、家庭贫穷、家庭收入来源过于集中均不利于农户规避自然灾害风险。通过分析农户应对自然灾害损失的策略发现,农户在自然灾害冲击下,较多采用被动的应对策略,不善于拓展新的收入来源。采用降低生活质量、减少生活必要支出、寻找新的收入来源、金融手段和出售生产生活资料这5种应对策略的农户分别占整体受灾农户的16.36%、6.47%、14.65%、5.37%、4.03%和11.35%。[结论]为了增强贫困地区农户规避自然灾害风险的能力,首先需要加大对贫困地区的教育投资;其次,增加贫困地区与外界沟通交流的渠道,可以在偏远地区多修公路等;最后,应当积极引导农户拓展农业生产以外的收入来源,将收入来源多样化,降低农户农业收入在家庭收入中的比重,有效增强贫困地区农户应对自然灾害风险的能力。     

Government Expenditures,Health Outcomes and Marginal Productivity of Agricultural Inputs: The Case of Tanzania

This paper examines the impact of health expenditures on agricultural labour productivity in order to inform the necessary policy decisions about targeting scarce public resources towards their most effective uses. We link health sector expenditures in rural Tanzania to health outcomes and agricultural labour productivity using data from the 2008 Household Budget Survey (10,975 households) and the 2007/08 Agricultural Census (52,594 households) across 113 districts in Tanzania. The results indicate that the marginal productivity of labour as well as land and fertilisers respond significantly to health expenditures. However, the magnitude of the response varies across types of disease, categories of expenditures and agricultural inputs. These findings suggest both the need and scope for targeting public expenditures in the health sector to achieve better agricultural growth outcomes.     

非农就业对农户农地价值预期的影响研究——来自CHFS的实证分析

目的 在我国农村人口非农就业转移进程不断加深背景下,非农就业活动改变了农户家庭与农地之间的依附关系,研究非农就业活动对农户农地价值预期的影响,既有助于理解农地价值形成机理,又对推进我国农业农村现代化具有重要意义。方法 文章基于2015年中国家庭金融调查（CHFS）农户层面的微观数据,以耕地作为农地的代表,采用OLS回归模型和中介效应模型实证分析非农就业对农户农地价值预期的影响。结果 非农就业并未降低农户对农地的依赖、减少耕地要素投入,相反非农就业增强了土地替代要素的投入、激发了农户农转非的资本积累需求,从而导致农户提高了农地的价值预期。结论 （1）我国农户的非农就业转移并未完成,亟需创新和完善农村土地流转机制;（2）农地依旧是农户生存的重要保证,需积极支撑或培育专业化农业生产性服务业和智能化农业机械制造业的发展,弥补农业劳动力非农转移带来的负面效应,加快推进我国农业农村现代化。     

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.     

Returns to spending on agricultural extension: the case of the National Agricultural Advisory Services (NAADS) program of Uganda†

The aim of this paper is to assess the direct and indirect impacts of the agricultural extension system of Uganda, the National Agricultural Advisory Services (NAADS) program, on household agricultural income. Data from two rounds of surveys of Ugandan rural farm‐households conducted in 2004 and 2007, as well as different program evaluation methods and model specifications, are used to estimate impacts and compute a rate of return. The direct and indirect impact of the program is estimated at 37–95% and 27–55% increase in per capita agricultural gross revenue between 2004 and 2007 for households participating directly and indirectly in the program, respectively, compared to nonparticipants. The rate of return on the program's expenditures is estimated at 8–49%. The program has been relatively more effective among male‐headed, larger, and asset‐poor households, as well as those taking up noncrop high‐value enterprises and living further away from financial services, all‐weather roads, and markets or located in the Eastern and Northern Regions. Policy implications of the results are drawn.     

Farmers’ risk preferences and pesticide use decisions: evidence from field experiments in China

China faces health and environmental problems associated with the use of agricultural chemicals, including pesticides. While previous studies have found that risk aversion affects pesticide use in China, they have focused primarily on commercial cotton farmers. In this study, we consider the case of smaller, semisubsistence and subsistence farmers in a poor and landlocked province of China (Yunnan). We use a field experiment to measure risk aversion and collect detailed data on farm production and input use to specifically ask whether risk aversion affects pesticide use, and whether this effect differs for subsistence farmers producing exclusively for home consumption versus semisubsistence farmers who produce both for home and the market. We find that risk aversion significantly increases pesticide use, particularly for subsistence farmers and for market plots by semisubsistence farmers. Further, this effect of risk aversion significantly decreases with farm size for subsistence farmers, but not for semisubsistence farmers, implying that pesticide use may be used to ensure sufficient food supply for home consumption. Finally, we find barriers to the use of pesticides for subsistence farmers, both in terms of financial constraints and economies of scale. This finding implies that risk‐mitigation strategies, such as crop insurance, may not target food security concerns of subsistence farmers. Given these different motivations for pesticide use, policymakers may wish to consider effective tools to support rural food security for farmers in the poorer regions of China in order to decrease pesticide use.     

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.     

Understanding rural household behavior: Beyond Boserup and Becker

New data and new methods have provided many new insights into rural households in the past 50 years. We analyze what we have learned from household models since Boserup and Becker, using this to frame more recent findings about household behavior from three types of studies: observational studies, experimental games, and impact evaluations. More sex-disaggregated data, as well as data that are collected at smaller units, such as agricultural plots, have allowed us to better understand agricultural productivity, risk sharing, and spousal cooperation. However, the focus on bargaining within households has often led us to ignore the cooperation that occurs within households. Many resources are owned and managed jointly by household members and many decisions are made jointly, although not all parties necessarily have equal voice in these decisions. Research demonstrating that households often do not reach efficient outcomes suggests that we still have much to learn about rural household behavior. Understanding both individual roles within households and the levels of cooperation, including joint decision making and ownership of resources, is essential to analysis of households, especially in rural areas where households engage in both production and consumption.     

Subsistence Agriculture in Transition Economies: Its Roles and Determinants

This paper discusses some beneficial effects of subsistence agriculture with emphasis on transition countries. Micro‐economic models of subsistence agriculture are reviewed and a two‐stage decision model, combining risk aversion and transaction costs explanations for subsistence is developed. The role of subsistence agriculture is addressed in a static comparison to a purely commercial agriculture. We argue that subsistence can play a stabilising role and have beneficial impacts on the agricultural sector when the resources it employs are unwanted by the commercial sector. The exact conditions under which the latter is true are analysed in a static general equilibrium framework. Employing the concept of the subsistence level of consumption, the paper demonstrates that these static effects can be valid in a dynamic perspective, provided additional conditions are met. Policy recommendations with regard to agricultural commercialisation are presented. These explicitly rely upon assumptions about the orientation of subsistence farmers. The lack of current research into this important behavioural feature of farmers in transition countries requires urgent action. There is urgent need for more research into the motivation, objectives and behaviour of subsistence farmers in rural economies of countries in transition.     

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.