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The purpose of this paper is to examine the income strategies adopted by rural households in Ghana and analyzes the determinants of households’ choice of income portfolio.

A multinomial logit approach is employed by the paper to investigate the determinants of various income strategies adopted by households in rural Ghana.

Results indicate that household characteristics, location and infrastructure all play a role in explaining the adoption of income strategies other than a purely on-farm strategy by households. Education is a key determinant of income strategies involving non-farm wage employment, while access to credit and electricity play important roles in non-farm self-employment income strategies.

The findings of the paper call for a promotion of off-farm income opportunities to complement farm incomes and to enhance access of rural households to these sources of income.

The paper models rural household income portfolios into mutually exclusive categories which enables the application of the multinomial logit approach. The paper deviates from mainstream rural income diversification literature that has focussed on assessing the determinants of income shares.

The purpose of this paper is to identify the factors associated with the adoption of agro-processing methods and to estimate their impact on farm income and farm diversification.

Using a large-scale sample of 12,122 special crop farm households drawn from the 2015 Agricultural Census Survey in Taiwan, the semiparametric multivalued treatment effect model was estimated.

The authors found that agro-processing farm households obtain higher farm incomes than non-agro-processing farm households. Among the agro-processing methods, self-processing generates higher farm income than outsourced-processing. Moreover, farm households that adopt either agro-processing method are more likely to diversify into agritourism and other agribusinesses than non-agro-processing farms.

The authors could only access data on farm income and not on agro-processing costs. Future studies may address the impact of agro-processing on farm profitability if relevant data are available.

Very few studies have examined the relationship between agro-processing, farm income and farm diversification. To the best of the authors’ knowledge, this is one of the first papers to examine the impact of different agro-processing practices on farm income and farm diversification.

This study aims to examine the effect of crop diversification (CD), as a climate change adaptation strategy, on farm household’s welfare in terms of farm income and demand for labor. It explores whether adoption of CD is a win-win strategy on household income and demand for on-farm labor. It also examines the determinants of rural household’s net farm income and family labor demand.

A household-plot level data were collected in 2015 from 929 rural farm households and 4,778 plots in the Nile Basin of Ethiopia. The data comprise farm and household characteristics accompanied by geo-referenced climate data such as long-term average temperature and amount and variability of growing season rainfall. The authors estimate an endogenous switching regression model to measure the effect of CD on the farm household’s welfare, using net farm income and household labor demand as a welfare indicator.

The results indicate heterogeneous effects of climate variables on farm income between adopters and non-adopters of CD. The study also confirms the win-win effect of adoption of CD with a positive and significant effect on farm income and a reduction in demand for on-farm labor. The results suggest that adoption of CD helps improve the well-being of farm households and build a resilient agricultural system.

As the study used a cross-sectional data, it is limited to show the time effect of practicing CD on the household’s welfare.

First, the authors investigate, to their knowledge for the first time, the existence of synergy or tradeoff in the effect of CD on two dimensions of rural households’ welfare (net farm income and labor demand). Second, they investigate the heterogeneous effect of climate change adaptation strategies on the farm household’s welfare between adopters and non-adopters. This is unlike previous studies that consider climate change adaptation strategies as having a homogeneous effect. However, this approach is inappropriate since the effect of adaptation strategies is different for adopters and non-adopters.

Farm income in the agricultural sector is susceptible to natural and market risks. A large body of literature has studied the effects of cooperative membership on household welfare, technical efficiency, productivity and production behavior, yet little has been known about the impact of cooperative membership on farm income volatility. This paper aims to fill this research gap by investigating the relationship between cooperative membership and farm income volatility of Chinese pig farmers and drawing policy implications.

This paper examines the effect of cooperative membership on farm income volatility, using data from a two-round survey of pig farmers in China. The authors employ an endogenous switching regression model to address the selection bias issues associated with unobserved factors simultaneously affecting farmers' participation in agricultural cooperatives and income earning activities.

Using household panel from a two-round survey of 193 pig farmers in China, this analysis highlights two key findings: (1) agricultural cooperative membership has significant and positive effect on farm income stability and (2) the impact of cooperative membership on farm income stability varies with production scale.

This research makes two contributions to the literature. First, this study contributes to the scant literature exploring the relationship between agricultural cooperatives and farm income stability. Second, to the best of the authors' knowledge, this is the first study that explores such relationship in a livestock sector. The pig sector in China and around the developing world has been increasingly challenged by multifaceted risks (e.g. price fluctuations, epidemic diseases, environmental regulations), and understanding the role of agricultural cooperatives in farm income stability of pig farmers is of great practical and policy significance.

Outside farming, pluriactivity is generally considered as undesirable, whereas agricultural economists tend to recommend part-time farming. This contradiction is to be solved. The paper aims to discuss this issue.

Linking tax-payer and statistical farm-level data from Norway, the authors tested how profitable part-time farming is for Norwegian farm households.

The analysis showed that concentrating on either working on-farm or off-farm generates a higher household income than combining the two.

Part-time farming may be a lifestyle decision, but apparently is not economically optimal for most farms.

The contribution solves an apparent contradiction between the discourses inside and outside agriculture.

Credit is central in labour allocation decisions in smallholder agriculture in developing countries. The purpose of this paper is to analyse the effect of credit constraints on farm households’ labour allocation decisions in rural Burkina Faso.

The study used a direct elicitation approach of credit constraints and applied a farm household model to categorize households into four labour market participation regimes. A joint estimation of both the multinomial logit model and probit model was applied on survey data from Burkina Faso to assess the effect of credit constraint on the probability of choosing one of the four alternatives.

The results of the probit model showed that households’ endowment of livestock, access to news, and membership to an farmer-based organization were factors lowering the probability of being credit constrained in rural Burkina Faso. The multinomial logit model results showed that credit constraints negatively influenced the likelihood of a farm household to use hired labour in agricultural production and perhaps more importantly it induces farm households to hire out labour off farm. The results also showed that the other components of household characteristics and farm attributes are important factors determining the relative probability of selecting a particular labour market participation regime.

Facilitating access to credit in rural Burkina Faso can encourage farm households to use hired labour in agricultural production and thereby positively impacting farm productivity and relieving unemployment pressures.

In order to identify the effect of credit constraints on farm households’ labour decisions, this study examined farm households’ decisions of hiring on-farm labour, supplying labour off-farm or simultaneously hiring on-farm labour and supplying family labour off-farm under credit constraints using the direct elicitation approach of credit constraints. To the best of the authors’ knowledge, this study is the first to examine this problem in Burkina Faso.

The aim of this paper is to address a local separability character partly identified by non‐farm participation behaviors in the context of multiple market imperfections.

The paper develops a model to analyze agricultural household's non‐farm participation based on heterogeneous asset endowments. The model is applied to recent data from Zhouzhi, a mountainous county in rural western China.

The paper shows that human capital, social capital and other capital assets have significant but different effects on the agricultural household's participation in non‐farm activities, and they help to break down non‐farm labor constraints. Nonseparability holds only for those households unable to participate in non‐farm activities due to poor asset endowments.

The agricultural household model developed in this paper and its application in China provide insights into theory and empirical analysis of agricultural households' behavior and rural development.

The purpose of this paper is to present theoretical synopsis of risk balancing hypothesis (RBH) and estimate empirical models examining debt, savings and debt-to-equity use decisions of small US farms.

The authors use primary survey data from Tennessee and generalized linear models (GLMs).

The study’s findings suggest that the perceived higher business risk (BR) significantly increases the extent of debt use, savings use and debt-to-equity of small farmers. Moreover, results indicate that factors such as age and education of the operator, family involvement, incomes, land acreage, adoption of alternative on-farm enterprises and farmers' continuation plan significantly influence the financing decisions of small farm operations.

The authors investigated an essential empirical question examining the risk balancing behavior of small US farm operations. While risk balancing has been a theme of several studies, none of the previous studies have specifically looked at the behavior in the context of small US farms. The theoretical synopsis and empirical findings contribute to the literature of risk balancing, debt use and savings use decisions and the policy discussions on farm financial and support strategies.

The agricultural sector in the USA has experienced significant structural changes. For accommodating farm business, households have diversified their operations adopting various strategies—agricultural, structural, environmental, and income strategies. The purpose of this study is to analyze the factors influencing farmer’s diversification strategies while taking into account the simultaneous decision-making process.

This study uses a nation-wide farm household data from the US. The diversification decisions are analyzed using multivariate probit regressions.

The study suggests that agricultural, structural, environmental, and income diversification strategies are interlinked. Specifically, results indicate that, on one hand, environmental and income diversification strategies are positively interlinked. On the other hand, agricultural and structural diversification strategies are positively interlinked. Additionally, the factors representing location, farm, and farmer characteristics, farm type, and financial condition of the farm are major determinants in the choice of farm diversification strategies.

In this paper, diversification activities are broadly classified under four strategies: agricultural, structural, environmental, and income. Depending on the context and country, the definition and strategy set may need revision.

Strong complementary between diversification strategies suggests that studies analyzing farm household decisions and strategies need to account for the simultaneous decision-making process. As decisions are interlinked, separately analyzing one specific strategy may lead to biased estimates. Farm business households need to develop multiple skills and flexible capacities to tackle farming-related issues, including structural changes, risk management, and income enhancing activities. Improving employment opportunities for the rural farming population can stimulate structural diversification.

This paper contributes to limited literature about diversification by analyzing factors influencing different diversification decisions and finds interlinkage between decisions.

The purpose of this paper is to investigate the impact of internet usage on financial performance of small farm business households in the USA. In particular, the authors want to assess the impact of internet usage on small farm businesses, where the owner’s main occupation is farming. Using a nationwide farm-level data in the USA and a non-parametric matching estimator, the study finds a significant positive impact of internet usage on gross cash income, total household income, off-farm income. The study further suggests that small farm businesses receive benefits from internet usage as it facilitates reduction in income risk through off-farm income sources, as well as a reduction in marketing and storage costs; households’ non-farm transportation and vehicle leasing expenses.

In this study, the authors use the “nearest neighbors” matching method in treatment evaluation, developed by Abadie and Imbens (2002). In this method, a weighting index is applied to all observations and “nearest neighbors” are identified (Abadie et al., 2004). Although matching estimation through the nearest neighbor method does not require probit or logit model estimation per se, the authors have estimated a probit model because it allows the authors to check the balancing property and to analyze the association of included variables with the likelihood of internet use.

The study suggests that small farm business households using the internet are better off in terms of total household income and off-farm income. As compared to the control group (which is counterfactual, representation of small farm businesses not using the internet), small farm businesses using the internet earn about $24,000-$26,000 more in total household income and about $27,000-$28,000 more in off-farm income. Also, small farm businesses using the internet earn about $4,100-$4,900 more in gross cash farm income compared to their counterpart. The estimate of ATT for NFI is not different from zero. However, gross cash farm revenue increased significantly.

To this end internet can provide an important role in information gathering. Internet is one of the convenient means to access and exchange information. Information and communication facilitation through internet have opened up new areas of commerce, social networking, information gathering, and recreational activities beyond a geographical bound. Producers and consumers can take advantages of internet in both collaborative and competitive aspects in economic activities as it can reduce the information asymmetries among economic agents.

Farmers will seek assistance in interpreting data and applying information to their farming operations, via the internet. Therefore, it is essential that land grant universities continue to improve the delivery of electronic extension and provide information in a clear and concise manner.

Studies in farm households have mainly investigated factors influencing internet adoption, purchasing patterns through internet, internet use, and applications. In most cases, impact analyses of communication and information technologies such as internet in agricultural businesses are discussed with references to large scale farm businesses. Thus, the authors know very little about access to the internet when it comes to small farm businesses and small farm households and about how it impacts well-being of small farm households.