In this article we estimate the technical and environmental efficiency of a panel of Dutch dairy farms. Nitrogen surplus, arising from the application of excessive amounts of manure and chemical fertilizer, is treated as an environmentally detrimental input. A stochastic translog production frontier is specified to estimate the output-oriented technical efficiency. Environmental efficiency is estimated as the input-oriented technical efficiency of a single input, the nitrogen surplus of each farm. The mean output-oriented technical efficiency is rather high, 0.894, but the mean input-oriented environmental efficiency is only 0.441. Intensive dairy farms are both technically and environmentally more efficient than extensive farms. Copyright 1999, Oxford University Press.

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In many countries around the world impacts of climate change are assessed and adaptation options identified. We describe an approach for a qualitative and quantitative assessment of adaptation options to respond to climate change in the Netherlands. The study introduces an inventory and ranking of adaptation options based on stakeholder analysis and expert judgement, and presents some estimates of incremental costs and benefits. The qualitative assessment focuses on ranking and prioritisation of adaptation options. Options are selected and identified and discussed by stakeholders on the basis of a sectoral approach, and assessed with respect to their importance, urgency and other characteristics by experts. The preliminary quantitative assessment identifies incremental costs and benefits of adaptation options. Priority ranking based on a weighted sum of criteria reveals that in the Netherlands integrated nature and water management and risk based policies rank high, followed by policies aiming at 'climate proof' housing and infrastructure.

In this article, we develop and implement a methodology for analyzing the sources of variation in environmental efficiency across producers. We formulate a two-stage model. In the first stage, we use stochastic frontier analysis to estimate both technical and environmental efficiency. In the second stage, we again use stochastic frontier analysis to regress estimated environmental efficiency scores against a variety of technology, physical environment, and management variables. In this stage we estimate the impact of each explanatory variable on environmental efficiency, and we derive conditional estimates of environmental efficiency from the one-sided error component. We illustrate our methodology with an empirical application to a panel of Dutch dairy farms. We find evidence of relatively low levels of environmental efficiency, and we find that environmental efficiency can be improved through a number of policy options, including the provision of farmers with more insight into the nutrient balance of their farms. Copyright 2002, Oxford University Press.