Abstract
Many production processes yield both good outputs and undesirable ones (e.g., pollutants). In this article we develop a generalization of a stochastic frontier model that is appropriate for such technologies. We discuss efficiency analysis and, in particular, define technical and environmental efficiency in the context of our model. We develop methods for carrying out Bayesian inference and apply them to a panel data set of Dutch dairy farms, where excess nitrogen production constitutes an important environmental problem.
Original language | English |
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Pages (from-to) | 432-442 |
Number of pages | 10 |
Journal | Journal of the American Statistical Association |
Volume | 97 |
DOIs | |
Publication status | Published - 2002 |
Keywords
- environment
- stochastic frontier
- agriculture
- statistics
- dairy farms
- efficiency
- Monte Carlo Markov chains