Identifying Different Technologies Using a Latent Class Model: Extensive Versus Intensive Dairy Farms
Antonio Álvarez, Julio del Corral
Abstract
Antonio Álvarez, Julio del Corral
Abstract
In this article, we use a stochastic frontier latent class model to estimate the technology of dairy farms according to their degree of intensification. The results are compared with a model which assumes that the technology is common to all farms. The empirical analysis uses data on a balanced panel of 130 Spanish dairy farms over the period 1999-2006. We find that the intensive technology is more productive than the extensive one and that intensive farms are more technically efficient than extensive farms.
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In this article, we use a stochastic frontier latent class model to estimate the technology of dairy farms according to their degree of intensification. The results are compared with a model which assumes that the technology is common to all farms. The empirical analysis uses data on a balanced panel of 130 Spanish dairy farms over the period 1999-2006. We find that the intensive technology is more productive than the extensive one and that intensive farms are more technically efficient than extensive farms.
Key concepts: Latent class model, Frontier, Stochastic frontier analysis, Agricultural science, Panel data, Econometrics, Geography, Economics