Estimating Farm Productivity Differentials using Panel Data: The Hausman‐Taylor Approach

This paper investigates the relation between unobserved farm productivity and other production factors in a system of netput equations for specialised pig breeding farms in the Netherlands. In order to estimate the system, a Hausman‐Taylor panel data estimator is developed for a system of equations with unbalanced panel data. Tests on the correlation between model variables and farm‐effects are performed, yielding an insight into the sources of differences in total factor productivity and its components (e.g. managerial ability and scale economies). Results indicate that specialised pig breeding farms that are characterised by high total factor productivity have more buildings and machinery than farms with low total factor productivity.     

Environmental Policy Uncertainty and Marketable Permit Systems: The Dutch Phosphate Quota Program

Tradable permits are generally considered as an efficient instrument to regulate pollution by individual producers. However, uncertainty about changes in or possible discontinuation of the program could make individual farmers reluctant to invest in tradable permits. This article uses the option approach to derive a theoretical model that shows the impact of policy uncertainty on investment in tradable quota. The empirical assessment provides weak evidence for the existence of option values due to policy uncertainty for phosphate quota in swine production in the Netherlands.     

Farm‐specific Adjustment Costs in Dutch Pig Farming

This paper develops a dynamic model of investment under rational expectations, assuming farm‐specific production technologies and adjustment cost structures. The model distinguishes regimes of negative, zero and positive investments and maintains that it is optimal for a farmer not to invest for a range of shadow prices, depending on thresholds for positive and negative investments. The model is applied to a rotating sample of Dutch pig farms over the period 1980–1996. Farm‐specific parameters of the adjustment cost function and production technology are obtained using Generalised Maximum Entropy estimation. Cluster analysis using the farm‐specific adjustment cost parameters indicates that five groups of farms with distinct adjustment cost structures can be identified. A tobit regression analysis is used to explain the impact of different socio‐economic factors on the size of the threshold between positive and negative investments.     

Comparing risk attitudes of organic and non-organic farmers with a Bayesian random coefficient model

Organic farming is usually considered to be more risky thanconventional farming, but the risk aversion of organic farmerscompared with that of conventional farmers has not been studied.Using a non-structural approach to risk estimation, a Bayesianrandom coefficient model is used to obtain individual Arrow–Prattcoefficients of absolute risk aversion for a sample of Dutchorganic and non-organic arable farmers. The model is estimatedusing Gibbs sampling. The results indicate that organic farmersare significantly less risk averse than their non-organic colleagues.     

Risk-matching behavior in microcredit group formation: evidence from northern Ethiopia

Theoretical models on group lending assume the formation of groups of homogenous risk types. Recent theoretical and empirical findings challenge this view arguing that when markets for insurance are missing, risk homogeneity may not hold any more and risk heterogeneity can be the optimal outcome. Using data from an MFI in Tigray (Ethiopia), this article examines the homogeneity hypothesis and reflects on implications for repayment. No evidence is found that supports risk homogeneity, even accounting for matching frictions. However, we also do not find an explicit link between the presence of risk heterogeneity and side-payments due to missing insurance as suggested in the literature. Instead, other trust-based social networks seem to underlie heterogeneity. Such social networks are often synchronized with credit groups and influence the probability of repayment under heterogeneity. The implication is that successful repayment rates in group lending need not arise only under risk homogeneity but can also arise under risk heterogeneity. Heterogeneity may also serve to bridge missing insurance markets in poor rural environments. MFIs therefore need to consider such local conditions when designing their lending schemes.     

Stimulating organic farming via publicly provided services and an auction-based subsidy

Governments generally use a mix of temporary hectare paymentsand provision of public services to stimulate the organic cropsector. In this paper, a conceptual model is developed for determininga socially optimal hectare payment for any given level of publicservices. Farm heterogeneity, due to the variability of soilquality and management skills, is explicitly taken into account.Using an nth price auction mechanism, farmers indicate whattheir reservation subsidy is for a given level of public inputprovision. The results of this auction are used to determinethe government's optimal policy choices.     

The effect of information sources on technology adoption and modification decisions

This article focuses on adoption and modification decisions on improved maize storage technologies in southern Benin. Modification implies changing a technology to adapt to farmers' circumstances. A sample selection framework is used to account for selectivity bias as some farmers were not aware of the new technologies. Using this framework, the study investigates the effect of alternative information sources on adoption and modification decisions. Farmers are either informed by extension agents or by other farmers. The empirical results show that there are differences in adoption and modification decisions between these two groups.     

The Impact of Biofuel Policies on Crop Acreages in Germany and France

A major concern about biofuels is that increasing biofuel feedstock demand reduces availability of crops for food and feed leading to higher food prices. This paper investigates relations between biofuel policies and prices of rapeseed, the major feedstock used for biodiesel production in Europe, and the impact of rapeseed prices on crop acreages in Germany and France. Biodiesel is an important biofuel in Europe, and Germany and France are the largest biodiesel producers in Europe. First, the various biofuel policies in Germany and France are discussed, followed by an analysis of their effects on rapeseed prices. Although theory indicates that such effects exist, we could not find empirical evidence for them. Second, using regional land use panel data from Germany and France we investigate empirically whether crop shares have been affected by rapeseed prices in the period 2000–2015 and whether these price effects changed because of biofuel policy changes. Results show that wheat shares in Germany and France did respond to rapeseed prices, but barley shares did not. Moreover, mandatory blending introduced in Germany in 2007 and production quotas introduced in France in 2005 led to a stronger effect of rapeseed prices on wheat shares, but again did not affect barley shares.