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.     

Cost implications of improving food safety in the Dutch dairy chain

This paper examines control measures for improving food safetyin the dairy chain, using an integer linear programming model.The chain includes feed (compound feed production and delivery),farm (dairy farm) and dairy processing (transport and processingof raw milk, delivery of pasteurised milk) blocks. Results showthat 65 per cent of the maximum possible food safety improvementcan be achieved at relatively low extra cost per ton of milk(4.27), fairly evenly distributed across the blocks. Highersafety levels can be attained by increasing the farm block'scontribution, but at much higher extra cost (44.37 for the maximumattainable).     

A model of optimal import phytosanitary inspection under capacity constraint

Growth and liberalization of world trade have increased the risks of introduction of quarantine plant pests into importing countries. Import inspection of incoming commodities is a major tool for prevention of pest introductions related to world trade, but inspection capacities are limited. This article develops a theoretical and an empirical model for the optimal allocation of inspection effort for phytosanitary inspection of imported commodities when the inspecting agency has a limited capacity. It is shown that the optimal allocation of inspection effort equalizes marginal costs of pest introduction across risky commodity pathways. The numerical illustration finds the optimal allocation of inspection effort of chrysanthemum cuttings imported in the Netherlands. The numerical results suggest that ceteris paribus , greater inspection effort should be allocated to pathways whose inspection yields a greater reduction in the expected costs of pest introduction. The numerical results also suggest that import inspection has a high marginal benefit. In particular, we found that each additional euro of the inspection capacity decreases the expected costs of pest introduction from 18 to 49 euros, depending on the initial inspection capacity.     

Price and Volatility Transmission and Market Power in the German Fresh Pork Supply Chain

We investigate the relationship between the transmission of price volatility and market power in the German fresh pork supply chain. We use a theoretical model underpinning this relationship followed by an empirical application that uses monthly farm, slaughterhouse and retail pork price data for the period 2000–2011. We examine both the relationships of market power with price level transmission and price volatility transmission in the chain. We use a vector error correction model and least squares regressions to analyse price transmission and price volatility transmissions, respectively. Results show that retail market power limited both types of transmissions. Competition inducing policy measures coupled with measures that support price risk management initiatives of chain actors are suggested.     

Non‐Parametric Modelling of CO2 Emission Quota

Dutch glasshouse firms are facing the introduction of a system of tradable CO₂ emission quotas. This paper employs a non‐parametric method for modelling tradable CO₂ emissions of Dutch glasshouse firms. The method is capable of generating shifts in CO₂ emissions across the sample of firms. Moreover, changes in volumes of outputs produced and inputs used are computed. Results show that firms using a conventional heating technology will be net purchasers of CO₂ emissions, whereas firms using more advanced heating technologies will sell part of their emission quota.     

Assessing the Impact of Changing Economic Environment on Productivity Growth: The Case of the Spanish Dairy Processing Industry

This article analyzes the productivity growth of the Spanish dairy processing industry from 1996 till 2011, which concerns the period of increased EU regulation regarding food safety as well as economic crisis. Data envelopment analysis is used to compute the Malmquist index and its components. The results suggest that productivity on average declined during the period under investigation. The decomposition of the Malmquist index finds that technical regress contributed to productivity decline despite improvements in technical and scale efficiencies. Our results also suggest that food safety regulations did not have a negative impact on productivity growth. Technical change and scale efficiency change made significant negative contributions to productivity growth in the period under crisis, whereas firms significantly improved their technical efficiency in that period.     

Price Rigidity and Industrial Concentration: Evidence from the Indonesian Food and Beverages Industry

This paper investigates the relationship between industrial concentration and price rigidity in the Indonesian food and beverages industry. A Cournot model of firm behavior is used in which prices adjust according to a partial adjustment mechanism. The model is applied to panel data of the Indonesian food and beverages industry over the period 1995–2006. The results suggest that industrial concentration has a positive effect on percentage price changes. Furthermore, the speed of price adjustment is higher when the per unit cost of production rises.     

Public and private roles in plant health management

World-wide, government institutions play an important role in the management of plant health. This paper develops a conceptual framework in which suppliers and demanders jointly determine the optimal level of plant health in a hypothetical market. Next this paper argues that this market falls short of reaching an optimal plant health situation due to the public good nature of plant health and due to the presence of asymmetric information. A range of commonly applied and novel solutions to this market failure are then discussed.