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This paper compares two non-parametric programming techniques for the measurement of total factor productivity using panel data: Malmquist indices and an intertemporal-DEA model that allows the calculation of technology and efficiency levels bounds, assuming non-regressive technical change. Both methodologies are applied to the analysis of agricultural productivity in the European Union countries, and several important divergences between models are found. The results suggest lower productivity increases in agriculture than those found in recent literature, with different country ranking concerning productivity growth. ; En este trabajo se realiza un análisis comparado de dos métodos no paramétricos de medida de productividad total de los factores con datos de panel basados en programación: índices de Malmquist y un modelo DEA intertemporal que permite acotar las medidas de eficiencia y progreso técnico, suponiendo cambio técnico no regresivo. La aplicación se realiza sobre las agriculturas de los países de la Unión Europea, encontrándose algunas diferencias importantes entre ambos enfoques. Los resultados sugieren menor crecimiento de productividad agraria y, sobre todo, una ordenación distinta de países en relación con dichos crecimientos que los encontrados en otros trabajos.

[EN] This paper compares two non-parametric programming techniques for the measurement of total factor productivity using panel data: Malmquist indices and an intertemporal-DEA model that allows the calculation of technology and efficiency levels bounds, assuming non-regressive technical change. Both methodologies are applied to the analysis of agricultural productivity in the European Union countries, and several important divergences between models are found. The results suggest lower productivity increases in agriculture than those found in recent literature, with different country ranking concerning productivity growth. ; [ES] En este trabajo se realiza un análisis comparado de dos métodos no paramétricos de medida de productividad total de los factores con datos de panel basados en programación: índices de Malmquist y un modelo DEA intertemporal que permite acotar las medidas de eficiencia y progreso técnico, suponiendo cambio técnico no regresivo. La aplicación se realiza sobre las agriculturas de los países de la Unión Europea, encontrándose algunas diferencias importantes entre ambos enfoques. Los resultados sugieren menor crecimiento de productividad agraria y, sobre todo, una ordenación distinta de países en relación con dichos crecimientos que los encontrados en otros trabajos. ; Aldaz, N.; Millán, JA. (2003). Analysis of European Union agriculture using Malmquist and intertemporal DEA. Economía Agraria y Recursos Naturales - Agricultural and Resource Economics. 3(6):45-64. doi:10.7201/earn.2003.06.03 ; SWORD ; 45 ; 64 ; 3 ; 6

This paper is concerned with the estimation of productivity and technical progress based on DEA applied to complete panel data (intertemporal-DEA). Instead of assuming unchanged technology, this paper presents a formulation of technical change that allows the decomposition of productivity scores obtained using intertemporal-DEA. The assumption here is that the technology level in period t for each country is the maximum productivity index obtained until this period. The model assumes that improvements over earlier productivity levels are due to technical progress and that productivity scores below the earlier maximum productivity level are due to inefficiency. The methodology is applied to the analysis of agricultural productivity in the European Union regions in the 1985-97 period. The major source of data is Cronos in Eurostat. This database is used to obtain the disaggregated outputs, intermediate inputs, and depreciation, in current and constant 1990 prices, and labor in annual work units. Capital is measured by depreciation. Land is agricultural area in hectares. Outputs are aggregated in two categories: crops and animal products. Intermediate inputs are grouped into two major categories: feedstuffs and other materials. Aggregation uses national price indices and regional production structures, using the translog price formula. All output, intermediate input and depreciation data, originally reported in local currencies was converted into ECUs, using the 1990 exchange rates. The discriminatory power of the analysis is higher than those with only contemporary analysis of technical efficiency, giving less than 10% of observations in the reference set. Further discrimination is explored using super-efficiency analysis. Radial efficiency measures give only a particular form of inefficiency that can be explained by a proportional contraction in input usage. The paper studies particular output and input efficiencies. As examples, animal products inefficiency is usual only in southern regions. Inefficiency in intermediate consumption usage is pervasive, suggesting the possibility of reducing agricultural production costs. Labor and capital inefficiencies arise in different regions. Land slacks are common in the southern and the westernmost regions.