2010SSRN Electronic JournalOpen access

Identifying Different Technologies Using a Latent Class Model: Extensive Versus Intensive Dairy Farms

Antonio Álvarez, Julio del Corral

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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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What this paper is about

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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Available 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.

Key concepts: Latent class model, Frontier, Stochastic frontier analysis, Agricultural science, Panel data, Econometrics, Geography, Economics

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