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.     

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 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.     

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.     

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 employment and reasons for entering farming as determinants of production enterprise selection in US agriculture

In today’s agriculture, farmers consider off‐farm employment and lifestyle goals in complex ways to select production enterprises. Data from USDA’s Agricultural Resource Management Survey were used to examine how off‐farm employment and ‘reasons for entering farming’ influence production enterprise selection in US agriculture. A two‐stage analysis with a multivariate tobit model was used to examine the impact of off‐farm employment as influenced by government farm programme payments, reasons for entering farming, demographics and location on production enterprise selection. Results underscore the impacts of reasons for entering farming and off‐farm employment on production enterprise choice and provide implications for policy development. The study highlights the importance of government farm programme payments in production enterprise selection by US farmers.     

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.     

基于GIS的典型白浆土区八五三农场耕地地力的定量评价

以黑龙江省典型白浆土区的853农场为例,采集农田耕层(0～20cm)样品1695个,以土地利用现状图的耕地图斑为评价单元,选取10个指标,利用特尔菲法和层次分析法,结合GIS技术,对853农场耕地地力进行了定量化的分析和评价.评价结果表明八五三农场耕地地力整体水平为:三级地占总耕地面积的35.47％,其次为二级和四级,分别占27.53％和20.86％,比例最小的是一级和五级地,分别占6.83％和9.30％.分级结果较好的体现了地区特点,同时明确了不同等级耕地的面积、空间分布格局,为探讨制定科学的培肥政策、提高作物产量和土壤基础地力,保护生态环境提供了定量化的分析依据.     

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.     

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.     

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.     

水土保持在城市绿地规划设计中的应用

城市绿地的建设虽然可以在短时间改善城市植被覆盖率,提升人均绿地面积,但是其是否可以起到有效地防治水土流失的作用则是一个关键的问题。通过分析城市绿地可能发生水土流失的原因,探讨了在城市绿地中水土保持措施的布置原则,并且提出了水土保持措施的设计方法,以期为城市绿地规划设计进一步提供科学指导。     

Consumption risk,farm characteristics,and soil conservation adoption among low-income farmers in the Philippines

This paper investigates patterns of soil conservation adoption among low-income farmers in the Philippines. A model is presented that focuses attention on the role ot assets and consumption risk in conservation adoption decisions. Results Iron, a reduced-form probit model of adoption are reported. These econometric findings indicate that patterns of soil conservation adoption reflect relative risk considerations in addititon farm and household characteristics. Farm size, tenure security, labor availability, and land quality all exhibit a positive association with soil conservation adoption. In contrast, controlling on these and other household characteristics, the probability of adoption falls as consumption risk rises. These results underscore a need for greater sensitivity among policymakers to the role of consumption risk in influencing soil conservation decisions in low-income settings.     

Estimating the joint effect of multiple soil conservation practices: A case study of smallholder farmers in the Lake Naivasha basin,Kenya

The current study seeks to assess the private benefits associated with multiple soil conservation practices (MSCPs) by estimating the marginal value of crop production that can be attributed to such practices. In areas where land degradation associated with soil erosion causes serious agri-environmental challenges such as loss of soil fertility, siltation and eutrophication, a multiple approach to soil conservation is neccessary. However, notwithstanding efforts to encourage adoption of such practices, their uptake remains generally low. Analysing the effect of MSCPs on crop productivity is one of the ways through which the incentives for soil conservation can be explored. To achieve the stated objective, the current study applied propensity score matching and exogenous switching regression techniques to cross-sectional data collected from a random sample of farm households located in Lake Naivasha basin, Kenya. Results indicate that there is a significant positive effect of implementing multiple soil conservation practices on crop productivity. However, we note that whether the additional benefits will cover the opportunity costs associated with the implementation of these practices will depend on farm specific attributes such as slope and the soil conservation effort. In cases where marginal benefits are not substantial to cover opportunity costs for implementation of soil conservation practices, intrinsic or external incentives could be necessary. Policy interventions could focus on offering technical assistance to farmers in selecting soil conservation practices that are best suited to their local condition.     

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.     

The economic costs and benefits of a participatory project to conserve maize landraces on farms in Oaxaca,Mexico⋆

Conventional methods were used to assess the benefits and costs of an unconventional project whose purpose was to test whether participatory crop improvement can encourage Mexican farmers to continue growing maize landraces by enhancing their current use value. Findings suggest that farmers as a group earned a high benefit‐cost ratio from participating, though from the perspective of the private investor the returns were low. The project also generated social benefits, but these would be difficult (and costly) to measure. There was a gender bias in both participation and benefits distributions, though there is some evidence of a welfare transfer to maize deficit households. Application of other valuation approaches will be necessary in order to assess both the private and social benefits of similar projects.     

EU Food Safety Standards,Pesticide Use and Farm‐level Productivity: The Case of High‐value Crops in Kenya

This article provides an empirical analysis of the impact of European Union (EU) private food safety standards on pesticide use and farm‐level productivity among small‐scale vegetable producers in Kenya. We apply an extended three‐stage damage control production framework, accounting for multiple endogeneity problems, to farm‐level data collected from a random cross‐sectional sample of 539 small‐scale producers. Estimation results show that farmers producing vegetables for the domestic market use significantly lower quantities of pesticides than do export farmers. However, contrary to findings elsewhere, the econometric evidence here shows that both domestic and export‐oriented vegetable farmers in Kenya use pesticides at levels below the economic optimum. The results also show that the adoption of standards by export farmers does not have any significant impact on total pesticide use. However, adopter categories are distinguishable in terms of types of pesticide used, i.e. adopters use safer pesticides based on World Health Organization (WHO) classification. The third‐stage structural revenue model results demonstrate that adoption of standards has a positive and significant impact on revenue raised in vegetable production. Nevertheless, farmers producing for the export market are indistinguishable from those producing for the domestic farmers in terms of the total revenue earned from producing vegetables during the rainy season, on a ‘per acre’ basis. Although standards can potentially prevent resource‐poor smallholders from maintaining their position in the lucrative export markets, they can also result in positive changes in the production systems of those small‐scale farmers who adopt it, as shown by these results.     

Possibilities and Constraints of Market‐Led Land Reforms in Southern Africa: An Analysis of Transfers of Commercial Farmland in Postcolonial Zimbabwe, 1980–2000

This paper provides a systematic basis, hitherto missing in the current scholarship, to quantify land transfers in Zimbabwe after 1980. It uses title deed information to determine year of sale via a number of sources. The main finding of this research is that a great deal of land changed ownership during this period, which, if the government had been committed to land reform, it could have acted upon. Evidence suggests as much as 67 per cent of white‐owned land changed ownership after 1980. The second is that, while a large amount of land did change hands, it was not the 80 per cent that many white farmers and their supporters have claimed. The figure of 69 per cent is still very high, but it is apparent that much of this did not represent ‘true’ transfer of land. By further investigating the land that did change hands, this paper also raises questions about (a) the possibilities of market‐led land reform in Zimbabwe and Southern Africa, and (b) the relationship between white capital and the new political elite in the postcolonial state.     

Determinants and impact of sustainable land management (SLM) investments: A systems evaluation in the Blue Nile Basin,Ethiopia

Ongoing debate over water management along the Blue Nile and land degradation in Ethiopia emphasizes the need for efficiency gains in agricultural production through sustainable land management (SLM). However, previous SLM studies overlook the tradeoffs involved in maintaining SLM investments over time. We address this limitation by combining a household survey that evaluates the economic impacts of SLM investments and maintenance, with a hydrological model that explores location‐specific infrastructure effects. We then use a multi‐market model to evaluate the impacts of alternative SLM investments on agricultural production, prices, and incomes over time. Analysis suggests SLM investments must be maintained for at least seven years to show significant increases in value of production, and that terraces on moderate and steep slopes are most effective in increasing agricultural yields. However, the benefits of terracing do not outweigh the cost of foregone off‐farm labor opportunities, nor compensate for lower agricultural prices from increased supply. Thus, SLM investments must be paired with other input and infrastructure investments, as well as subsidies for initial labor costs, in order to incentivize adoption and long‐term SLM maintenance.