Custom‐hired tractor services and returns to scale in smallholder agriculture: a production function approach

Historically, agricultural transformation has often accompanied the increase in the returns to scale. Little direct evidence exists, however, on what actually causes such increase, despite the knowledge of many factors that are associated with this increase. We fill this knowledge gap by testing whether hiring in tractor services has raised returns to scale in agriculture at the household level in Nepal Terai that has undergone rapid growth in the tractor use through custom‐hiring services. Using Switching Regression and Inverse‐Probability‐Weighted Generalized Method of Moments, we address two sources of endogeneity involved with the estimation of returns to scale; (1) farmers’ self‐selection on whether to hire in tractor services and (2) use of inputs in the production function. For both Cobb‐Douglas and Translog production function specifications, we find that hiring in tractor services significantly increased the returns to scale in agricultural production by about 0.2 ～ 0.3 among farm households not owning tractors, for which suitable control groups are found. Findings are robust under various alternative specifications.     

Assessing the Forecasting Performance of a Generic Bio‐Economic Farm Model Calibrated With Two Different PMP Variants

Using linear programming in bio‐economic farm modelling often results in overspecialised model solutions. The positive mathematical programming (PMP) approach guarantees exact calibration to base year data but the forecasting capacity of the model is affected by necessary but arbitrary assumptions imposed during calibration. In this article, a new PMP variant is presented which is based on less arbitrary assumptions that, from a theoretical point of view, are closer to the actual decision making of the farmer. The PMP variant is evaluated according to the predictions of the bio‐economic farm model, developed within the framework for integrated assessment of agricultural systems in Europe (SEAMLESS). The forecasting capacity of the model calibrated with the standard PMP approach and the alternative PMP variant, respectively, is tested in ex‐post experiments for the arable farm types of Flevoland (the Netherlands) and Midi‐Pyrenees (France). The results of the ex‐post experiments, in which we try to simulate farm responses in 2003 using a model calibrated to 1999 data, show that the alternative PMP variant improves the forecasting capacity of the model in all tested cases.     

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.     

Use of Compliance Rewards in Agri‐environmental Schemes

Ensuring that farmers comply with the terms of agri‐environmental schemes is an important issue. This paper explores the use of a ‘compliance–reward’ approach under heterogeneous net compliance costs with respect to cost‐share working lands programmes such as the Environmental Quality Incentives Program (EQIP) in the United States. Specifically, we examine the use of a reward under asymmetric information and output price uncertainty. We examine two possible sources of financing under the assumption of budget neutrality: (i) funds obtained by reducing monitoring effort; and (ii) money saved by reducing the number of farmers enrolled. We discuss the advantages and disadvantages of each source of funding and analyse these numerically for both risk‐neutral and risk‐averse farmers. We also examine the trade‐off between increased expenditure on monitoring effort and compliance rewards when additional budgetary resources are available. We show that under certain conditions a compliance reward can increase compliance rates. For risk‐averse farmers, however, conditions that ensure a positive outcome become more restrictive.     

Contractual Relations in Agricultural Credit Markets: A Hedonic Pricing Approach with Application to Poland

We present a micro‐econometric analysis of agricultural credit market outcomes in Poland that investigates the relationship between contractual arrangements and interest rates. An innovative theoretical framework based on a hedonic market model is developed. We interpret the factors that influence interest rates as ‘quality’ components of the credit contract. Using unique data allows us to consider both nominal interest rates and additional bank fees. The results show that banks have preferences for particularly liquid types of collateral, whereas they care little about the purpose for which the loan is used. Furthermore, the analysis allows quantification of the effects of socioeconomic attributes of farmers, different lending sources and government subsidies on interest rates. The latter effect is small compared with the officially declared reduction of the nominal interest rate. A simulation shows that enabling more borrowers to use liquid forms of collateral implies lower rates than those obtained by participating in the subsidy programme.     

Modelling Farmers’ Participation in an Agri‐environmental Scheme using Panel Data: An Application to the Rural Environment Protection Scheme in Ireland

Previous studies that have attempted to model the participation decision of farmers in agri‐environmental schemes have used a static framework where it was not possible to examine changes in the participation decision of farmers over time. This is rectified in this paper by utilising an 11‐year panel that contains information on 300 farmers for each year. The structure of this dataset allows us to employ discrete time duration random effects panel data logit models to model the determinants of entering the Irish Rural Environment Protection Scheme (REPS). We introduce a dynamic element into a number of the models by using the random effects logit model estimator, with lagged dependent variables as additional explanatory variables. The results point to the fact that systems of farming that are more extensive and less environmentally degrading remain those most likely to participate in the REPS. In addition, the results highlight the fact that where no attempt is made to control for unobserved heterogeneity or path dependency the effects of the farm‐ and farmer‐specific characteristics may be overestimated.     

Challenging Small‐Scale Farming: A Non‐Parametric Analysis of the (Inverse) Relationship Between Farm Productivity and Farm Size in Burundi

We use a non‐parametric approach to investigate the (inverse) relationship between farm productivity and farm size. A kernel regression is used on data of mixed cropping systems to study the determinants of production including different factors that have been identified in literature as missing variables in the testing of the inverse relationship such as soil quality, location and household heterogeneity. Household data on farm activities and crop production were gathered from 640 households in 2007 in two Northern provinces of Burundi. Our results do not reject the findings of an inverse relationship between farm size and productivity. However, we find that size returns vary substantially with farm size, that is, between 0.2 for the smallest farms and 0.8 for the largest farms. Other factors that significantly affect production include soil quality. Finally, we find a significant positive association between food security and farm size.     

Gender and agricultural productivity: implications of the Farm Input Subsidy Program in Malawi

Alleviating gender differences in agricultural productivity is vital for poverty reduction. While numerous studies suggest that gender differences in agricultural productivity are a result of female farmers having limited access to resources, few studies investigate the role of agricultural interventions in alleviating the constraints to input use and subsequently the gender gap in productivity. This study investigates whether there are gendered gains in agricultural productivity from participating in an input subsidy program and if these gains help reduce the gender gap. Using nationally representative data that is disaggregated at the plot level, this study analyzes the large‐scale voucher‐based Farm Input Subsidy Program in Malawi. Focusing on the total value of output per hectare, relationships are identified using weighted estimators, where the weights are constructed from propensity scores, and spatial fixed effects, to address the unobservable factors that may confound the relationship between program participation and productivity. The findings suggest that participation in the program improves agricultural productivity for both male and female farmers but it does not provide disproportionate help to female famers to overcome gender disparities in agricultural productivity. This suggests that female farmers face additional constraints to productivity apart from nonlabor input use.     

Sales location among semi‐subsistence cassava farmers in Benin: a heteroskedastic double selection model

In much of rural Africa, high transaction costs limit farmers’ market participation and thus their potential for income growth. Transaction costs can affect not only whether a farmer sells product but also whether sales occur at the farm gate or at a market. If production behavior is related to a chosen sales location, then analysis of interventions can be improved by explicit consideration of the decision of where to sell. This article develops a double‐selection model that explains consumption and production decisions by semi‐subsistence farmers who first decide whether to be a seller and then whether to sell at the farm gate or at an off‐farm location before deciding on production and consumption. The study tests the validity of this dual‐criteria model against a single‐criterion model in which a grower first decides to be a seller and then decides production, consumption, and sales location simultaneously. The results suggest that the dual‐criteria model provides more information than the single‐criterion model using a sample of cassava producer in Benin.     

Farm Level Costs of Agri‐environment Measures: The Impact of Entry Level Stewardship on Cereal Farm Incomes

Applying a difference‐in‐difference approach with propensity score matching, we examine the impact of participation in the Entry Level Stewardship (ELS) scheme on cereal farm incomes in eastern England. We assess the extent to which impacts are related to a) the source of income affected – whether only from agricultural or total business income; b) the channel of the impact – through land use and/or labour input; and c) the level of impacts through time. In addition, we assess the appropriateness of the level of the ELS payment. We find that: a) entering the ELS scheme could negatively affect cereal farm incomes – in particular, the total business income; b) that negative impacts arise primarily in relation to the use of land resources; c) that impacts may diminish over a relatively short period of time; and d) that the ELS payment broadly compensates for losses without providing over compensation. Given the diminishing negative impact over time, the level of ELS payment might need to be reviewed in the longer term, although policy evaluation should consider the wider implications for efficiency of alternative payment levels. We also discuss some limitations of the approach and potential extensions.     

Evaluating the long‐term impacts of promoting “green” agriculture in the Amazon

Frontier development in the Brazilian Amazon has created vast areas of largely deforested landscapes. Conservation efforts in these post‐frontier zones seek to protect the remaining forest fragments and promote sustainable agricultural practices that absorb labor, meet market demand, and generate ecosystem services. Assessments of these efforts often find that rates of sustained uptake are disappointingly low and that impacts are difficult to discern, but this could be due to the short‐time frames of both the efforts themselves and their evaluation. We investigate the impacts of participation in an internationally sponsored farmer association that for 15 years promoted sustainable agricultural practices in the heavily deforested state of Rondônia, Brazil. Using data from a georeferenced four‐period panel survey of farmers in combination with remote sensing data on land use spanning the life of the association, we apply matching methods to estimate the impacts of participation. We find that membership resulted in more diversified production systems, including more land allocated to agroforestry. Members also deforested less of their farms, but this difference is not statistically significant after we control for selection bias in membership.     

Collateral‐free lending with risk‐contingent credit for agricultural development: indemnifying loans against pulse crop price risk in India

This article addresses the problem of collateral‐free lending in the context of agricultural development. We investigate a viable alternative to traditional credit products through the development of risk‐contingent credit for operating loans and farm mortgages and apply the concept to agricultural loans for pulse crops in India. Risk‐contingent credit mitigates business and financial risk by reducing debt obligations depending on the embedded commodity options whose payoffs are linked with commodity price fluctuations. We analyze daily commodity spot prices for pulse crops in India and show how risk‐contingent structured financial instruments can be priced in practice.     

Rural–Urban Impacts of CAP Measures in Greece: An Inter‐regional SAM Approach

This paper evaluates the inter‐regional impacts of CAP measures implemented in the rural town of Archanes (Crete, Greece), an area which received considerable EU Agricultural Guarantee and rural development funds during the 1990s. A hybrid, three‐area Social Accounting Matrix (SAM) with three groups of households defined by income level is constructed to describe inter‐linkages between three rural–urban localities, namely the rural area of Archanes, the less‐developed, agriculturally dependent, neighbouring rural area of N. Kazantzakis, and the adjacent urban centre of Heraklion. Results are reported on the diffusion patterns of economic impacts generated by three types of CAP measure: farm income support; aids to increased agricultural productivity; aids to economic diversification. These show that the diffusion of policy‐induced economic impacts from Archanes is lower than might be expected for a small open local economy, and that benefits leak primarily to Heraklion and marginally to rural N. Kazantzakis. Finally, generated income benefits seem to accrue mostly in favour of high‐income households, especially in the case of Guarantee subsidies.     

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.     

Estimating the impact of farmer field schools in sub‐Saharan Africa: the case of cocoa

This study measures the economic impact of the first phase of the Cocoa Livelihood Program (CLP‐I), a current World Cocoa Foundation (WCF) project, sponsored by the Bill and Melinda Gates Foundation and aimed at improving the livelihood of over 200,000 small cocoa producers in sub‐Saharan Africa via training, crop diversification, and farmer‐based organizations. Using data collected from 2,048 pre‐ and post‐CLP‐I interviews of cocoa producers in Ghana, Cote d'Ivoire, Nigeria, and Cameroon, the results show that yield enhancements attributable to CLP‐I are 32%, 34%, 50%, and 62% in Ghana, Côte d'Ivoire, Nigeria, and Cameroon, respectively. Using a total program cost of $151–$200 per beneficiary and estimated annual benefits of $109–$322 per beneficiary over 25 years, the benefit‐cost ratios are estimated to range from $18 to $62 for every dollar spent on human capital development. These results suggest the WCF should endeavor to increase the number of farmers who receive all, not some, of the components of the program. This would not only help ensure that each producer obtains as much human capital as possible from each of the training programs but increases the probability of reaching the CLP goal of doubling the income of cocoa‐growing households.     

Farm Size Growth and Participation in Agri‐environmental Schemes: A Configural Frequency Analysis of the Swiss Case

This paper examines the relationship between farm growth and participation in agri‐environmental schemes, using the example of meadow extensification schemes in Switzerland. As a result of small farm sizes in Swiss agriculture, theory would suggest that economies of scale are considerable for market production activities, so that for growing farms it would be rational to intensify. Configural frequency analysis is used to identify and describe combinations of farm size development and proportion of meadows placed under agri‐environmental schemes. In the Swiss case, growing farms are likely to reduce their participation, whereas shrinking farms have a growing share of their meadows under extensification schemes.     

Feasibility of risk‐based inspections in organic farming: results from a probabilistic model

A risk‐based inspection system might improve the efficiency of the organic farming certification system and ultimately provide a basis for increased competitiveness of this sector. This requires the definition of an effective inspection procedure that allows statistical evaluation of critical risk factors for noncompliance. In this article, we present a study based on data from selected control bodies in five European countries that is aimed at determining the feasibility of risk‐based inspections in the organic sector according to the data that are currently routinely recorded. Bayesian networks are used for identification of the factors that can affect the risk of noncompliance. The results show that previous/concurrent noncompliant behavior explains most of the risk, and that the risk increases with farm size and the complexity of their operations. The data currently recorded by control bodies appear to be insufficient to establish an effective risk‐based approach to these inspections.     

Consumer valuation of safety‐labeled free‐range chicken: results of a field experiment in Hanoi

This article presents results of a field experiment designed to assess willingness to pay for safely produced free‐range chicken in Hanoi, the capital of Vietnam. Improved safety of chicken production and trading is suggested as an important component of avian influenza control strategy, which aims to address the direct costs of avian influenza as well as the global public health externality. However, consumer demand for safely produced free‐range chicken is unknown. Products that have credible food labeling are not common in traditional markets where the majority of free‐range chicken is purchased. Valuing characteristics of products sold in informal markets is a major challenge that our experiment overcomes. As part of the experiment, we provided several vendors from these markets with safety‐labeled free‐range chicken. Consumer valuation of safety labeling was elicited through having experiment participants, who were representative of potential consumers, select between discount coupons for either safety‐labeled chicken or regular chicken. Results indicate that consumers will pay at least $0.50, or a 10–15% premium, per chicken purchase for safety labeling, which emphasizes safe production, processing, and transport conditions. This premium is smaller than the premium currently paid for traditional chicken varieties that are considered to be tastier. Consumers with more education have higher valuation of safety labeling. Hence, safety labeling for high‐quality free‐range chicken can play a role in controlling livestock disease and improving public health.     

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.