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.     

Short‐run and long‐run dynamics of farm land allocation: panel data evidence from Denmark1

This study develops and estimates a dynamic multi‐output model of farmers’ land allocation decisions that allows for the gradual adjustment of allocations that can result from crop rotation practices and quasi‐fixed capital constraints. Estimation is based on micro‐panel data from Danish farmers that include acreage, output, and variable input utilization at the crop level. Results indicate that there are substantial differences between the short‐run and long‐run land allocation behaviour of Danish farmers and that there are substantial differences in the time lags associated with different crops. To our knowledge, this is the first dynamic micro‐model of land allocation estimated on data from the temperate climate zone. Since similar farming conditions are found in northern Europe and parts of the United States and Canada, this result may be of wider interest.     

Impact of land fragmentation and non-agricultural labor supply on circulation of agricultural land management rights

This study quantitatively examines the effects of land fragmentation and non-agricultural labor supply on the circulation of agricultural land management rights. The examination is conducted from the perspective of labor heterogeneity and family joint decision-making, using the rural fixed observation point data from the Ministry of Agriculture of the People's Republic of China. The results reveal that land fragmentation significantly affects circulation decisions of agricultural land circulation. Land fragmentation strengthens the effect of non-agricultural labor supply on agricultural land outflow, and this effect is more pronounced among females. Compared with males, the female non-agricultural labor supply has a greater effect on agricultural land circulation. When non-agricultural labor supply increases, the effect of the female non-agricultural labor supply on agricultural land circulation becomes significant, land outflows increase, and land inflows decrease. In the areas of eastern, central, and northeastern China, the female non-agricultural labor supply has a significant impact on agricultural land outflow. Furthermore, the number of land plots strengthens the effect of the non-agricultural labor supply on the outflows of agricultural land in eastern and northeastern China; this effect is more pronounced for females in northeastern China. The government and related departments should strengthen non-agricultural employment training, and design conditions and policies to promote the orderly transfer of household labor, thus achieving intense agricultural development in the process of human urbanization.     

Interrelated labor decisions of farm couples: a censored response analysis of off‐farm work

Farm couples' labor market responses are partly the discrete choice of entering the off‐farm labor market and partly the continuous choice of off‐farm working hours, given entry. Such a setting is interesting when examining the increasing occurrence of multiple job‐holdings among farmers in Western economies. Most existing analyses of off‐farm labor supply only model the decisions of the farmer, not the joint decisions of the farm couple. This article presents a framework for handling such interrelated discrete/continuous choices, involving also farm production and household consumption. The derived two‐equation sub‐model for husband/wife's censored labor responses is estimated from a 10‐year Norwegian panel data for 342 farms. The results agree to some extent with earlier studies, but are more informative because of the longer panels—which allows a more extensive examination of latent heterogeneity and behavioral persistence—because it provides cross‐effects in the spouses' labor supplies. The results show some interesting differences between how the independent variables influence the labor supply of operator and spouse. This is most evident for the cross‐effects of education, children, and wage rate. Overall, the results strongly support applying a panel‐censoring model that accounts for latent heterogeneity in this context.     

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.     

Farm and farmer characteristics and off‐farm work: evidence from Algeria

Off‐farm work is a widespread, two‐edged, phenomenon that can help both the survival and the demise of small‐ and medium‐sized agricultural exploitations. Given the prevalence of poverty in rural areas, nonfarm income has been credited with helping farmers to survive. But the observed shrinking of rural areas has also raised the question of whether off‐farm work is pulling farmers permanently away from farming. This paper explores the impact of farmer characteristics on the decision to work off‐farm in developing countries where this phenomenon has been largely neglected. A review of theory and prior empirical work suggests four main hypotheses which we test empirically. The results suggest that while some farmer characteristics appear to be universal, others appear to be country‐ or culture‐specific.     

Farm machinery use,off‐farm employment and farm performance in China

We analyse the joint impacts of farm machinery use and off‐farm employment on maize yields and agrochemical expenses from a household survey of 493 farmers in China. Our findings are obtained from an innovative two‐stage econometric procedure that combines a bivariate ordered probit model with an endogeneity‐corrected ordinary least square regression model. The results show that farmers are jointly making decisions to use farm machines and to work off the farm and that these two household activities affect maize yields and agrochemical expenses in different ways. We show that farm machinery use significantly increases both maize yields and agrochemical expenses, while off‐farm employment significantly decreases agrochemical expenses. Our findings highlight the importance of additional machinery use in increasing farm production; the need to account for possible endogeneity in estimation; and the statistical significance of key household characteristics (gender, education, and household size) on overall farm production.     

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.     

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.     

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.     

The impact of land reallocation on technical efficiency: evidence from China

China's rural reforms expose farm households to an increased risk of administrative land reallocation and adjustment. This study explores the impact of land reallocation on technical efficiency, based on a panel data set from rural households in Zhejiang, Hubei, and Yunnan provinces between 1995 and 2002. Our research indicates that the development of a land rental market could serve as a substitute for administrative land reallocation in optimizing the distribution of land resources. The results from the stochastic frontier production function show that land reallocation does have effects on technical efficiency. The different signs for different provinces indicate that the impact of land reallocation on technical efficiency is an empirical issue and depends on the specific institutional settings and the overall economic environment in each province.     

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.     

Rising wages,mechanization, and the substitution between capital and labor: evidence from small scale farm system in China

This article aims to investigate major factors that led to the observed pace of mechanization and the substitution between labor and machines in rural China. We used commodity‐wise province‐level panel data for more than a quarter of a century from 1984 to 2012. The analysis demonstrated a dramatic increase in real agricultural wages in recent years, especially after 2003, in contrast to a relatively stable real machine price. The relative price of machines against agricultural labor has declined in an accelerating way, which contributed to the observed rapid introduction of machines. The elasticity of substitution between labor and machines was large in some commodities, which contributed to a fast substitution of labor by machines.     

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.     

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.     

Horticulture exports, agro-industrialization, and farm–nonfarm linkages with the smallholder farm sector: evidence from Senegal

In this article we address the question of farm–nonfarm linkages at the household level in Senegal. We examine whether increasing off-farm employment opportunities for rural households—resulting from increased horticulture exports and associated agro-industrialization—has benefitted the smallholder farm sector through investment linkages. We use data from a household survey in the main horticulture export region in Senegal. We find that access to unskilled employment in the export agro-industry has contributed to the alleviation of farmers' liquidity constraints, resulting in increased smallholder agricultural production.     

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.     

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.     

Global land investments in the bio‐economy: evidence and policy implications

For countries dependent on agriculture, the recent wave of investor interest in farmland could, in principle, help set in motion a virtuous cycle of economic growth and poverty reduction. A large literature documenting failure of such investments documents the risks involved. To appreciate associated opportunities and challenges, we review past experience, quantify country‐level potential for area expansion versus intensification, and identify determinants of countries’ attractiveness for investors in the initial stages of the “land rush.” The fact that weak land governance seems to increase, rather than reduce, land demand justifies an emphasis on improving institutions, transparency, and accountability while at the same time providing concrete suggestions for policy and research.