Agritourism and off‐farm work: survival strategies for small farms

This study considers agritourism and off‐farm work as income diversification choices simultaneously and analyzes factors influencing such choices. Further, the study assesses the impact of agritourism, off‐farm work, and both on gross cash farm income and total farm household income. We utilized large set of nationwide farm survey data and selectivity‐based multinomial choice model. An important finding of our study is that small farms have higher household income if they choose both income diversification strategies rather than a single strategy. Results suggest that education, age of the operator, financial condition, and location of the farm are important factors driving income diversification alternatives. Finally, our study indicates that accounting for selectivity is essential to ensure unbiased and consistent estimates.     

Off‐farm work and technical efficiency on U.S. dairies

In this study, we investigate the impact of an increase in farm households’ off‐farm work on technical efficiency (TE) of U.S. dairies. We present a theoretical framework that implies that an increase in farm household off‐farm work decreases TE. We use two nationally‐representative samples of U.S. dairies (2010 and 2005 Agricultural Resource Management Surveys) and a parametric approach (stochastic frontier analysis) to empirically test the hypothesis. Results are generally consistent with the hypothesis and show that an increase in off‐farm work by the farm household is associated with a significant decrease in TE. In addition, results show that there is a statistically significant difference in TE between small, medium, and large farms. Small farms are associated with significantly higher off‐farm work and have lower TE than large farms, which implies that less off‐farm work by households with larger farms is at least partially responsible for the evidence of economies of scale in the U.S. dairy industry.     

Self‐protection from weather risk using improved maize varieties or off‐farm income and the propensity for insurance

We investigate how self‐protection from the adoption of Improved Maize Varieties (IMV) and off‐farm income affects risk premiums for smallholder maize producers in Uganda. To unbundle these effects, we specify the cost of risk to explicitly capture four risk components—mean, variance, skewness, and kurtosis. Using unique plot‐level panel data for Uganda, we estimate and test moments of a flexible production function based on an expanded form of the Johnson S_U family distribution and proceed to simulate the degree of responsiveness of risk premiums and welfare estimates to marginal changes in the share of land under IMV and off‐farm income. Scenarios of joint adoption of IMV accompanied with low and high application of inorganic fertilizer, and the effect of off‐farm income when there is high and low supply of farm labor are examined. Results show that the use of IMV and off‐farm income substantially reduces risk premiums and the individual effect is much higher under low fertilizer application and high supply of farm labor, respectively. Thus implying that self‐protection is likely to reduce the propensity for index insurance especially if its design fails to consider the reduction in downside risk.     

Drinking water and off‐farm labour supply: between‐gender and within‐gender bias

In this paper, we use the China Health and Nutrition Survey (CHNS) panel data to analyse the impact of drinking water on off‐farm labour supply. A two‐stage least squares (2SLS) multivariate Tobit regression model with random effects was applied. We find that impacts of drinking water conditions on off‐farm labour supply may be greater for women than men but depends on the specific family role or family structure. A strong within‐gender effect exists in households. For example, daughters are not sensitive to water access nor water quality, but householder's spouses are sensitive to water access, and daughters‐in‐law are sensitive to water quality. Our findings suggest that infrastructure development in improved access to safe water has contributed positively to reductions in traditional gender biases, evening the playing field between daughters, daughters‐in‐law, mothers and mothers‐in‐law. We also find that water the infrastructure program may actually encourage off‐farm labour mobility, reducing the supply of agricultural labour and the share of household labour on the farm. Thus, a broader approach to water policy should also include public investment in achieving greater labour efficiency and productivity.     

Agricultural Policy Reform and Off‐farm Labour Decisions

Off‐farm labour decisions of a sample of Kansas farmers are evaluated. The central question of our analysis pertains to whether 1996 US farm policy reforms may have altered the decisions to work off the farm. The effects of policy decoupling on off‐farm labour are complex: different aspects of policy changes can have opposing effects on off‐farm work decisions. Essentially, this makes this issue an empirical question. Results show that the introduction of fixed, decoupled payments in 1996 might have reduced the likelihood of off‐farm labour participation. However, the new policy environment may have increased farm households’ revealed aversion to risk, motivating a higher participation in non‐farm labour markets. The effects of 1996 policy reforms on farm income variability could have been attenuated by changes in US crop insurance programmes and by an increase in emergency assistance payments towards the end of the 1990s. The reduction in price supports may have increased the motivation for working off the farm. The net effect of the overall reforms on off‐farm work participation is not likely to have been large.     

Off‐farm Employment and Input Intensification among Smallholder Maize Farmers in Kenya

We derive input demand functions for fertiliser and hybrid seed, testing for the combined and separate effects of income from non‐farm sources and agricultural wage labour among smallholder maize farmers in Kenya. More income from off‐farm sources, and specifically non‐farm sources, competes with maize intensification, particularly in more productive areas where use rates are higher. In less productive areas, where households rely more on off‐farm income and input use in maize is extremely low, agricultural wage labour reduces the likelihood that fertiliser is applied, but when used, has a positive effect on quantities purchased of both seed and fertiliser.     

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.     

Smallholder participation in vegetable exports and age‐disaggregated labor allocation in Northern Tanzania

Modern agricultural supply chains have been playing an increasingly important role in developing countries and have had significant effects on rural labor markets. This article analyses the effects of smallholder farmer participation in export vegetable supply chains in Northern Tanzania on both household hired labor demand and off‐farm labor supply, using an age‐disaggregated approach. In our sample, neither separability nor exogeneity of smallholder farmer participation in export supply chains can be rejected. Hence, we apply lognormal double‐hurdle models and find that participation in export supply chains positively affects households’ decision to hire labor from all age groups. We also find that it increases the unconditional overall level of hired labor demand, while the age‐disaggregated analysis shows that these effects mostly benefit rural youth. However, our sample does not allow us to establish statistically significant evidence of an effect on household off‐farm labor supply although the point estimates point to nonnegligible positive effect sizes.     

An Investigation into Factors Affecting the Occupational Choices of Nominated Farm Heirs in Ireland

The resilience of family farming is an important feature of the structure of the farming industry in many countries, due largely to the ‘smooth’ succession of farms from one generation to the next. The stability of this structure is now threatened by the widening gap between the income expected from farming when compared with non‐farming occupations in an economy like Ireland, operating at almost full employment. Nominated farm heirs are increasingly unlikely to choose full‐time farming as their preferred occupation. To identify the factors that affect this occupational choice, a multinomial logit model is developed and applied to Irish data to examine the farm, economic and personal characteristics that influence a nominated heir's decision to enter farming as opposed to some non‐farming occupation. The results show a significant negative relationship between higher education and the choice of full‐time farming as an occupation. The interdependence between education and occupational choices is further explored using a bivariate probit model. The main findings are: the occupational choice and the decision to continue with higher education are made jointly; the nominated heirs on more profitable farms are less likely to pursue tertiary education and therefore more likely to enter full‐time farming. The model developed is sufficiently general for studying the phenomenon of succession on farms.     

Internet Access and Farm Household Income – Empirical Evidence using a Semi‐parametric Assessment in Taiwan

There is considerable literature examining individuals’ behaviour with respect to Internet use, but less attention is paid to farm household use of the Internet. Among the few studies on farm households, the emphasis is on the correlation between socioeconomic factors and the adoption of the Internet. Thus, relatively little is known about the association between Internet use and farm household well‐being. In an effort to fill this void, this paper investigates Internet access among farm households and examines the effects of Internet access on farm household income. Given the observed income gap between Internet users and non‐users, we then investigate the extent to which socioeconomic factors may be associated with this income gap. Using a nationwide survey of farm households in Taiwan, a novel econometric model is proposed and estimated employing a semi‐parametric technique. Our results support the conclusion that Internet use improves farm household income. Most of the income gap between adopters and non‐adopters can be explained by the differences in the return of the socioeconomic factors.     

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.     

How Do Health and Social Insurance Programmes Affect the Land and Labour Allocations of Farm Households? Evidence from Taiwan

To protect farmers from health care costs and risks to livelihood, most countries have developed special health and social insurance programmes specifically for farmers. While numerous studies have examined the determinants of participation in these programmes, little is known about how they influence famers' land and labour allocations. Without government‐sponsored health and social insurance, farmers may seek off‐farm employment in order to obtain similar benefits. Conditioning eligibility for social insurance on minimum land holdings and on‐farm work days can lead to delayed retirement and other forms of job lock. We investigate these issues using a unique dataset of 703,287 farms in Taiwan. After controlling for non‐random participation in Taiwan's social insurance programme, we find that the programme increases (decreases) on (off) farm labour supply, and decreases the amount of set‐aside land. This suggests that payments from social insurance substitute for those issued through land set‐aside programmes to some extent, and that failing to account for this substitution increases the cost of achieving both programmes' objectives.     

How does land fragmentation affect off‐farm labor supply: panel data evidence from China

This article provides a deeper theoretical understanding of the linkages between land fragmentation and off‐farm labor supply in China, and investigates this relationship empirically in a more direct way than does the existing literature. Drawing upon a rural household panel data set collected in Zhejiang, Hubei, and Yunnan Provinces from 1995 to 2002, we estimate the effects in two steps. First, we estimate the effect of land fragmentation on labor productivity. Second, we estimate the effect of land fragmentation on off‐farm labor supply. The production function results show that land fragmentation indeed leads to lower agricultural labor productivity, implying that land consolidation will make on‐farm work more attractive and thus decrease off‐farm labor supply. However, the effect of land consolidation on off‐farm labor supply is not significant. One likely explanation for this result may be the potentially imperfect labor markets.     

Determinants of off‐farm work and its effects on farm performance: the case of Norwegian grain farmers

Limited attention has been given in the literature to the impact of off‐farm work on farm performance. More knowledge about the determinants of part‐time farming and its effects on farm performance could help policymakers to introduce better targeted rural development policies. The aim in this article is to fill part of the above‐mentioned gaps by analyzing factors that influence the choices of off‐farm work by either the farmer alone or jointly by both the farmer and partner; and simultaneously examining how off‐farm work influences farm performance. These analyses were based on an unbalanced panel data set from Norwegian grain farms during 1991 to 2005. Among the determinants of off‐farm work hours, we found that, in addition to demographic, time trend, and some regional effects, there was a significant negative effect of farm output on farmers' off‐farm work hours. The production function results revealed that off‐farm work had a positive effect on farm output, at first increasing but then decreasing with increase in hours spent in off‐farm work. Furthermore, our analysis revealed no systematic effect of off‐farm work on farm technical efficiency.     

Farm Type Effects of an EU‐wide Direct Payment Harmonisation

In this study, we analyse how three scenarios involving different levels of harmonisation of common agricultural policy (CAP) decoupled payments in the EU affect the distribution of farm income across regions and farm types. We use the farm type extension of the common agricultural policy impact (CAPRI) model, which captures farm heterogeneity across the EU. The first scenario (NUTS1) assumes uniform per‐hectare payments at the NUTS1 level. The second scenario (MS‐CONV) equalises the per‐hectare rates inside each Member State (MS) and partially harmonises the single payment scheme (SPS) across MS in line with the 2011 Commission proposal. The third scenario simulates a uniform per‐hectare payment at the EU level. Depending on the implementation of the SPS, the NUTS1 flat rate induces a substantial redistribution of payments across farm types and NUTS2 regions, particularly in regions that apply the historical SPS. The MS‐CONV and EU flat‐rate schemes have more significant impacts at the EU‐wide level. In the EU‐15, almost all farms lose payments from MS‐CONV and EU‐wide flat rates, whereas in the EU‐10, almost all farm types gain from these scenarios. Our conservative estimates indicate that the flat‐rate payments could redistribute up to €8.5 billion. Lower land rental costs partially offset the losses of farm income in the EU‐15 from payment redistribution. Land rents drop for all flat‐rate scenarios across most sectors and farm sizes in the EU‐15. In the less productive new MS, the landowners’ rental income is largely unaffected by the introduction of the flat rate.     

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.     

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.     

Off‐farm work,technical efficiency,and rice production risk in Taiwan

This article investigates the differences in yield production, production efficiency, and yield risk for farmers both with and without off‐farm work. Using a nationwide survey of rice farmers in Taiwan, we estimate two stochastic production frontier models that accommodate technical inefficiency and production risk simultaneously for farmers both with and without off‐farm work. The stochastic dominance criterion is then applied to compare the differences in the distributions of the estimated technical efficiency and yield risk between groups. The empirical results indicate that these two groups of farmers use resources in different ways, and off‐farm work is not necessarily associated with lower technical efficiency. For farmers in the lower percentiles of the efficiency distribution, those with off‐farm work are more efficient than their counterparts without off‐farm work. In addition, farmers with off‐farm work face higher production risk and this result is robust for the entire distribution.     

Saying Sayonara to the Farm: Hierarchical Bayesian Modeling of Farm Exits in Japan

Off‐farm employment opportunities are thought to have an effect on farm exit rates, though evidence on the sign of this effect has been mixed. Examining this issue in the context of Japanese agriculture, we find that farm exits are related to off‐farm income as a share of household income, and more specifically to the nature of off‐farm work. Two econometric models are developed: a hierarchical Bayesian linear model and a hierarchical Bayesian Poisson model. Both models perform well in predicting exit rates across the towns and prefectures of Japan.