Testing for the Presence of Financial Constraints in US Agricultural Cooperatives: An Investment Behaviour Approach

This study examines the presence of financial constraints in US agricultural cooperatives. We test the cooperative capital constraint hypothesis with a panel data econometric analysis of agricultural cooperatives’ investment behaviour. Regression results suggest that agricultural cooperatives’ capital expenditures are significantly affected by the availability of internal funds. Results also indicate that the sensitivity of investment to cash flow is correlated with cooperative structural characteristics.     

What makes countries initiate WTO disputes on food-related issues?

This paper analyses relevant determinants for the probability to initiate a dispute on policy measures under the World Trade Organization (WTO) dispute settlement system. The empirical analysis differs from existing assessments by focusing on agro-food-related disputes and provides a more in-depth analysis of specific country and sectoral characteristics not considered in previous studies. Contrary to recent analyses of overall trade disputes, the results show that some determinants such as legal capacity and monetary means are not statistically significant. Own protectionist behaviour, endured protectionism, and the duration of WTO membership, however, could be identified as relevant determinants with the expected direction of impact.     

A new estimator for trade costs and its small sample properties

This paper discusses the estimation of parameters of a traditional transportation model, as it is typically present in so-called Takayama–Judge type spatial price equilibrium models. In contrast to previously used estimation methods, observations of regional prices as well as of trade costs are used in a direct estimation of the first order conditions. The proposed method uses bi-level programming techniques to minimize a weighted least squares criterion under the restriction that the estimated parameters satisfy the Kuhn–Tucker conditions for an optimal solution of the transport model. A penalty function and a smooth reformulation are used to iteratively approximate the complementary slackness conditions. Monte-Carlo simulations are used to trace out some properties of the estimator and compare it with a traditional calibration method. The analysis shows that the proposed technique estimates prices as well as trade costs more precisely than the traditional calibration method. It is suggested to apply the same method to a range of linear and quadratic models.     

Surrogate modelling of a detailed farm-level model using deep learning

Technological change co-determines agri-environmental performance and farm structural transformation. Meaningful impact assessment of related policies can be derived from farm-level models that are rich in technology details and environmental indicators, integrated with agent-based models capturing dynamic farm interaction. However, such integration faces considerable challenges affecting model development, debugging and computational demands in application. Surrogate modelling using deep learning techniques can facilitate such integration for simulations with broad regional coverage. We develop surrogates of the farm model FarmDyn using different architectures of neural networks. Our specifically designed evaluation metrics allow practitioners to assess trade-offs among model fit, inference time and data requirements. All tested neural networks achieve a high fit but differ substantially in inference time. The Multilayer Perceptron shows almost top performance in all criteria but saves strongly on inference time compared to a Bi-directional Long Short Term Memory.     

Estimating a Primal Model of Regional Crop Supply in the European Union

This article estimates behavioural parameters of the quadratic regional supply models in the modelling system CAPRI. Using the time‐series data in the CAPRI database, we directly estimate the optimality conditions using a Bayesian highest posterior density estimator. After discarding regions with insufficient data, parameters for up to 23 crop production activities with related inputs, outputs, prices and behavioural functions are estimated for 219 regions in EU‐27. The results are systematically compared with the outcomes of other studies. For crop aggregates (e.g. cereals, oilseeds, etc.) at the national level, the estimated own price elasticities of supply are found to be in a plausible range. On a regional level and for individual crops, the picture is much more diverse. As far as we know, there is no other study of similar regional and product coverage.     

Foreign Direct Investment and the Performance of European Agribusiness Firms

This article analyses the relationship between foreign direct investment and the performance of European agribusiness firms. Motivated by the role of heterogeneous firms in new trade theory and using a firm‐level dataset, statistical analyses identify key differences between firms investing in foreign economies and those that do not. A binary choice model quantifies the relationship between firm characteristics and the decision to engage in foreign investment. Size and – less strongly – productivity are greater for multinationals relative to domestic firms. Furthermore, European multinationals are characterised by a larger debt to equity ratio and show lower labour and input costs.     

TRQ‐complications: who gets the benefits when the EU liberalizes Mercosur's access to the beef markets?

The European Union (EU) and the Mercosur countries resumed negotiations on trade liberalization in May 2010 after several years of interruption. The article analyzes who stands to benefit and who is likely to lose if the EU liberalizes Mercosur's access to domestic beef markets. This economic assessment is performed using a partial equilibrium model for beef operating at a low level of product aggregation, paying specific attention to the role of Tariff Rate Quotas (TRQs). Consultations with experts from the meat sector allowed us to identify the allocation of the quota rents to different stakeholders. Under an agreement based on the EU's negotiation proposal, trade impacts are projected to be small due to the present quota overfill. As expected, impacts are more pronounced under the conditions set out in Mercosur's proposal. The results confirm that the distribution of quota rents can be decisive in determining welfare effects.     

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.