Migration and farm technical efficiency: evidence from Kosovo

This article investigates the effect of migration on farm technical efficiency drawing on a large and representative sample of agricultural households in Kosovo. A two‐stage estimation procedure is applied: a frontier technique to estimate the effect of migration on farm efficiency, followed by a propensity score based matching approach to robustly estimate the sample average effect on efficiency for different levels of migration intensity. Migration is found to have an efficiency decreasing effect, which is amplified for better educated workers. The observed negative effect of migration on efficiency is evident even at low levels of migration intensity.     

Determinants of Health Costs due to Farmers’ Exposure to Pesticides: An Empirical Analysis

Pesticide spraying by farmers has an adverse impact on their health. However, in studies to date examining farmers’ exposure to pesticides, the costs of ill health and their determinants have been based on information provided by farmers themselves. Some doubt has therefore been cast on the reliability of these estimates. In this study, we address this by conducting surveys among two groups of farmers who use pesticides on a regular basis. The first group is made up of farmers who perceive that their ill health is due to exposure to pesticides and have obtained at least some form of treatment (described in this article as the ‘general farmer group’). The second group is composed of farmers whose ill health has been diagnosed by doctors and who have been treated in hospital for exposure to pesticides (described here as the ‘hospitalised farmer group’). Cost comparisons are made between the two groups of farmers. Regression analysis of the determinants of health costs show that the most important determinants of medical costs for both samples are the defensive expenditure, the quantity of pesticides used per acre per month, frequency of pesticide use and number of pesticides used per hour per day. The results have important policy implications.     

The Economics of Sustainable Land Management Practices in the Ethiopian Highlands

This article uses data from household‐ and plot‐level surveys conducted in the highlands of the Tigray and Amhara regions of Ethiopia. We examine the contribution of sustainable land management (SLM) practices to net value of agricultural production in areas with low vs. high agricultural potential. A combination of parametric and non‐parametric estimation techniques is used to check result robustness. Both techniques consistently predict that minimum tillage (MT) is superior to commercial fertilisers (CFs), as are farmers’ traditional practices (FTPs) without CFs, in enhancing crop productivity in the low agricultural potential areas. In the high agricultural potential areas, in contrast, use of CFs is superior to both MT and FTPs without CFs. The results are found to be insensitive to hidden bias. Our findings imply a need for careful agro‐ecological targeting when developing, promoting and scaling up SLM practices.     

The impact of marketing systems on soil sustainability of agriculture in developing countries: a method and an application

This article is concerned with soil‐sustainability problems of agriculture in developing countries, in particular with soil erosion. The aim of our study is to develop a comprehensive model that explains the adoption of sustainable agricultural practices with respect to soil conservation. Our approach includes the following special features: (a) the model is comprehensive in that it includes a large number of institutional, personal–social, economic, and physical explanatory variables; (b) particular attention is paid to the influence of marketing systems on the adoption of sustainable agricultural practices, which to our knowledge has been neglected in past research; (c) the concept of adopting sustainable agricultural practices (ASAP) is differentiated into a limited number of basic components of soil conservation; and (d) the model is estimated by Principal Component Regression, which enhances efficient estimation of the impact of many explanatory variables on ASAP. Our model is applied to Cabuyal hillside farming in Colombia. The application demonstrates the usefulness of the proposed model. ASAP is differentiated into three basic components: soil‐disturbance control, soil‐protection practices, and run‐off control. It appears that soil‐disturbance control is particularly influenced by farmers' characteristics, such as education and managerial variables. The second component, soil‐protection practices, appears to be strongly influenced not only by farmers' managerial variables but also by their relationship with their environment, in particular marketing institutions. The third soil‐conservation component, run‐off control, is influenced by the physical characteristics of the plot and by the available farm labor. Our empirical results demonstrate the usefulness of the proposed model in designing agricultural policies, because it can determine which variables are more likely to influence the adoption of a specific type of soil conservation.     

A revised Tobit procedure for mitigating bias in the presence of non-zero censoring with an application to milk-market participation in the Ethiopian highlands

Fixed transactions costs that prohibit exchange engender bias in supply analysis due to censoring of the sample observations. The associated bias in conventional regression procedures applied to censored data and the construction of robust methods for mitigating bias have been preoccupations of applied economists since Tobin [Econometrica 26 (1958) 24]. This literature assumes that the true point of censoring in the data is zero and, when this is not the case, imparts a bias to parameter estimates of the censored regression model. We conjecture that this bias can be significant; affirm this from experiments; and suggest techniques for mitigating this bias using Bayesian procedures. The bias-mitigating procedures are based on modifications of the key step that facilitates Bayesian estimation of the censored regression model; are easy to implement; work well in both small and large samples; and lead to significantly improved inference in the censored regression model. These findings are important in light of the widespread use of the zero-censored Tobit regression and we investigate their consequences using data on milk-market participation in the Ethiopian highlands.     

Tenants’ land access in the rental market: evidence from northern Ethiopia

The purpose of this study is to investigate the allocation efficiency in the tenancy market, and thereby the potential of the market to facilitate operational farm size adjustment that can help land‐poor tenant households to transform into smallholder commercial farms. We analyzed three rounds of balanced panel data for the production seasons 2005–2006, 2009–2010, and 2014–2015 collected from 320 smallholder farms in Tigrai region in northern Ethiopia. Random effects dynamic probit and tobit models are used to assess how land‐poor tenants’ access and extent of access to land are affected by state dependency (earlier participation in the market), kinship ties, climate shocks, and legal restrictions. The results indicate that state dependency and kinship ties with the landholder had strong positive effects on participation and intensity of participation. Climate shocks significantly affected the intensity of participation of tenants already in the rental market. Tenants’ overall access to rented land had not improved from 2005–2006 to 2014–2015. The amount of land accessed by those already in the market was insufficient for them to become commercial farmers. The important policy implication is that orchestrated interventions at community level are needed to reduce transaction costs and thereby improve land access of entrepreneurial tenants.     

Determinants, differentiation, and development of short-term marginal costs in dairy production: an empirical analysis for selected regions of the EU

This work provides evidence on the determinants, cost differentiation, and development of short‐term marginal costs of dairy farms in important production regions of the European Union. The empirical study is based on the estimation of multi‐input multi‐output Symmetric Generalized McFadden cost functions using an unbalanced panel data set of the European Farm Accountancy Data Network. The results show considerable regional differences in the impact of the outputs, input prices, and fixed factors on marginal costs. Strong evidence can be found that marginal costs decrease over time and is further underlined by the development of derived regional aggregated short‐term supply curves. Marginal cost elasticities and correlation coefficients validate the hypotheses that a high degree of farm specialization, large milk output, and low milk prices are associated with lower marginal costs. Furthermore, the marginal cost spread in the data sample is analyzed. We show that milk output, milk yield, herd size, labor input, and fodder production can be attributed to significant marginal cost differentiation of farms, whereas for crop and animal output, grassland, stock of other animals, and depreciation only minor differentiation can be found.     

An Analysis of the Key Factors Influencing Farmer’s Choice of Crop,Kibamba Ward,Tanzania

The need for further research into indigenous knowledge, in the context of agrarian development strategies, led to this investigation of one aspect of local knowedge; that of crop choice. Through the use of point score analysis, research was conducted in the Kibamba Ward located in the peri‐urban zone of Dar es Salaam, Tanzania. The main aims were to investigate the key factors underlying farmers’ choice of crop as well as to assess the differences in the decision‐making process between commercial and subsistence farmers. Vegetable cultivation was observed as the main practice, influenced particularly by the physical environment, the availability of machinery as well as certain economic factors. A significant difference in decision making among subsistence and commercial farmers was found. Subsistence farmers placed greater emphasis on the taste of the crop, whereas commercial farmers were predictably more influenced by the market. In addition, this study highlights several practical areas of concern regarding water resources, basic machinery and the lack of formal extension provision in the area. Although the complexity of crop choice is portrayed, a need for future research in different geographical contexts is noted.     

War Legacies,Welfare and Livelihoods in Rural Areas: The Case of Kosovo

This article examines the effects of war on livelihood choices and welfare outcomes of rural households in Kosovo using the 2000 Kosovo Living Standards Measurement Survey. We analyse the extent of the legacy of war on livelihood activities and welfare. We first identify livelihood portfolio clusters of households pursuing similar combinations of activities. These clusters are comparable to those described in more qualitative studies in the immediate post‐conflict period. We then examine the determinants of livelihood portfolio choice and the consequences of these for welfare outcomes. Our results provide evidence of a relationship between a household’s experience of war and livelihood choice. We also identify significant selection effects on welfare for three out of four livelihood clusters, highlighting the fact that selecting into a specific livelihood portfolio changes welfare relative to expected levels. Our results show that war not only affects livelihood choices but also changes the returns to these activities.     

The Economic Impact of Marena’s Investments on Sustainable Agricultural Systems in Honduras

This study examines the economic impact of sustainable agricultural production systems in Central America. In particular, we investigate the impact of investments promoted by the MARENA Programme in Honduras on the total value of agricultural production (TVAP) of its beneficiaries. Propensity Score Matching techniques along with the Difference‐in‐Differences framework are used to mitigate biases stemming from differences in observed as well as unobserved (time‐invariant) characteristics between beneficiaries and a control group. The econometric estimates suggest that MARENA has had a positive and significant effect on the TVAP of beneficiaries. In addition, the analysis shows that, under alternative scenarios, MARENA yielded higher than expected internal rates of return. The results of this study shed light on the response of small‐scale hillside farmers to economic incentives and lend support to the role of natural resource management projects in Central America as a tool to increase household income while also promoting the conservation of natural resources.     

The heterogeneous farm‐level impact of the 2005 CAP‐first pillar reform: A multivalued treatment effect estimation

This article aims to evaluate the impact of the 2005 reform of the Common Agricultural Policy (CAP) on farm production choices as a treatment effect (TE). This impact is measured through alternative metrics of the short‐term changes of the output vector. The heterogeneity of the response to the reform is assessed by estimating both average and quantile TE. As this heterogeneous response may depend on the different farm‐level CAP support, a multivalued treatment approach is adopted and applied to treated units (i.e., supported farms). This approach is applied to a balanced panel of Italian FADN farms observed over years 2003–2007. Results show that the 2005 reform of the first pillar of the CAP actually had an impact in (re)orienting short‐term farm production choices but this response is largely heterogeneous and concentrated in the lower levels of support.     

The evolution of global farming land: facts and interpretations

Although land plays a crucially important role in economic development and structural transformation, the causes and consequences of the evolution of farming land have received scant attention in recent decades. In this article, I document global and regional changes in aggregate agricultural land use, per capita land use, and average farm sizes. The spatial distribution of global farming land has changed dramatically, with developed countries substantially reducing their share of global agricultural land, and land‐abundant developing countries substantially increasing their share. In per capita terms, we see a rather different pattern, with average farm sizes increasing in rich and more commercialized agricultural systems, and generally declining or staying constant in poorer and less commercialized systems. These outcomes are the result of complex processes that are not always well understood. I conclude the article by suggesting new, or neglected, areas of research that would facilitate a better understanding of these critically important developments.     

The disposition effect in farmers’ selling behavior: an experimental investigation

The identification of the optimal selling time of stored goods is among the most essential economic decisions on a farm. Beyond monetary aspects, behavioral factors influence farmers’ selling decisions. In financial economics, the disposition effect is a commonly observed phenomenon. It describes the fact that investors hold losing stocks too long, while they sell stocks that gained in value too early. In the context of agriculture, this behavioral bias has not been analyzed thoroughly yet. To close this research gap, we conducted an incentivized online experiment with 112 farmers from Germany. The experimental design was based on a well‐proven experiment from financial economics and adapted to an agricultural decision context where stored goods must be sold. Farmers were provided information on the uncertain price developments. In addition, lotteries were conducted to elicit farmers’ risk attitude, probability weighting, and loss aversion. Results indicate that there is a robust disposition effect in farmers’ selling behavior. Furthermore, more loss‐averse farmers exhibited a higher realization of gains.     

Modeling farmers’ decisions on tea varieties in Vietnam: a multinomial logit analysis

This article analyzes households’ choice on tea varieties in Vietnam by using a multinomial logit model. The modeling takes into account the issue of unobserved individual heterogeneity and the endogeneity of some explanatory variables (use of chemical and organic fertilizers). The results show that important factors influencing the decision to adopt one type of tea varieties include income, age, household size, farming contract, and use of organic fertilizers, but also membership of professional associations such as the Tea Association and the Farmers Union.     

Incentives and moral hazard: plot level productivity of factory‐operated and outgrower‐operated sugarcane production in Ethiopia

We investigate the unique contractual arrangement between a large Ethiopian sugar factory and its adjacent outgrower associations. The only significant difference between the sugarcane production on the factory‐operated sugarcane plantation and on the outgrower‐operated plots is the remuneration system and thus, the incentives to the workers. We compare the productivity of these two production schemes using a cross‐sectional plot‐level data set. As sugarcane production depends on various exogenous factors that are measured as categorical variables (e.g., soil type, cane variety, etc.), we estimate the production function by a nonparametric kernel regression method that takes into account both continuous and categorical explanatory variables without assuming a functional form and without imposing restrictions on interactions between the explanatory variables. Our results show that outgrower‐operated plots have—ceteris paribus—a statistically and economically significantly higher productivity than factory‐operated plots, which can be explained by outgrowers having stronger incentives to put more effort into their work than the employees of the sugar factory.     

Semi‐parametric Modelling of Investments in Heating Installations: The Case of the Dutch Glasshouse Industry

This paper applies a semi‐parametric approach to estimating a generalised model of investments in heating installations. The results suggest that marginal costs of investments in heating installations increase quickly at small investment levels, whereas the increase slows down at higher investment levels. Therefore, standard parametric adjustment cost models are probably biased such that they underestimate the costs of small investments and overestimate the costs of large investments. Results also show that investments in heating installations are very responsive to changes in energy prices. Therefore, an energy tax may be an effective instrument to encourage investments in new energy‐saving heating installations.     

The impact of the use of new technologies on farmers’ wheat yield in Ethiopia: evidence from a randomized control trial

In 2013, Ethiopia's Agricultural Transformation Agency introduced the Wheat Initiative to increase smallholder productivity. In this article, we measure the impacts of the Wheat Initiative package of technologies, and its marketing assistance component alone, on yields among a promotional group of farmers. The package includes improved techniques, improved inputs, and a guaranteed market for the crop. Relying on crop‐cut measures and farmers’ own assessments, we find that full package led to an average 14% higher yields. Implementation of the Wheat Initiative was successful in making certified seed and fertilizer accessible to farmers and increasing their uptake, though only 61% of the intervention group adopted row planting and few farmers received marketing assistance. The measured yield difference may underestimate the true yield difference associated with the technology because of incomplete adoption of the recommended practices by intervention farmers and adoption of some practices by control farmers.     

Welfare implications of reduced government subsidies to farm families: accounting for fringe benefits

In the past three decades, farm families have relied on government payments and off‐farm income to reduce income risk and increase total household income. Studies have shown that, as the income effect dominates, government payments tend to reduce off‐farm labor of farm operators and spouses. But that may not be true if one accounts for fringe benefits associated with off‐farm employment. Additionally, with looming budget deficits and the possibility of a reduction in decoupled government payments, farm families may be facing an altered economic environment. Our study addresses this issue by examining the links between government farm program payments and the ever‐important role of fringe benefits in the off‐farm employment of farm couples. Results from farm‐level data actually show that the marginal effect of government payments on hours worked off‐farm will decrease in magnitude when accounting for fringe benefits, ceteris paribus. These results support the notion that farm households’ welfare loss stemming from reduced decoupled payments may be overstated when models exclude fringe benefits from the estimation of off‐farm labor supply.     

Gender and agriculture in sub‐Saharan Africa: introduction to the special issue

This special issue contributes to the literature on gender differences in sub‐Saharan African agriculture primarily by using new and innovative micro‐data. The first six articles have a strong focus on understanding the extent and drivers of gender differences in land productivity and use data from nationally representative household surveys that are implemented under the Living Standards Measurement Study‐Integrated Surveys on Agriculture (LSMS‐ISA) initiative. The LSMS‐ISA data are multi‐topic, with geo‐referenced household and plot locations, and information on production and identity of managers and owners at the plot level. The last two articles in the volume rely on in‐depth quantitative and qualitative case study data, which, in combination with the nationally representative data, allow for greater insights into the extent and correlates of gender differences in sub‐Saharan African agriculture. While there does seem to be persistent evidence of gender gaps, the studies find the sources of these gaps to vary within and across countries. This makes designing policies to address gender gaps more challenging, yet of crucial importance. What is clear is that the failure to directly and explicitly address the underlying causes of the disparities is likely to end up exacerbating the observed gender gaps.     

The Impact of Direct Income Transfers of CAP on Greek Olive Farms’ Performance: Using a Non‐Monotonic Inefficiency Effects Model

We analyse the impacts of direct income transfers on the technical efficiency of Greek olive farms. We use a production frontier function and a non‐monotonic inefficiency effects model, which incorporates the influences of exogenous variables (subsidies, farm characteristics, etc.) on technical efficiency. The model is applied to 1995–2004 FADN data. The results show that direct transfers of the CAP had a negative and monotonic effect on technical efficiency, whereas the degree of specialisation had a non‐monotonic effect on technical efficiency.