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EN
This paper deals with the estimation of a random coefficient model. The virtue of this approach is that it considers farm heterogeneity, which conventional SFA models do not. When the model is applied to Polish farms, the results indicate that the conventional random and fixed effect models overestimate the inefficiency score. In addition, the reasons for inefficiency are analyzed. It is shown that despite the fragmentation of the Polish agriculture, there is no evidence for scale inefficiency. Moreover, inefficiency could partly be attributed to factors, which affect the management input and requirements on farms.
EN
The aim of this study was to examine the technical efficiency of agriculture by identifying the coefficients of technical efficiency, development of agricultural efficiency ranking using DEA superefficiency method, an attempt to clarify the efficiency of agriculture by using an index of Malmquist total factor productivity (TFP) and to determine the efficiency of agriculture by the SFA for each year of the period audited . We analyzed the results of agriculture presented by the provincial structure. The value of the average DEA technical efficiency ratios in individual years ranged from 99.3% to 100.0% and the index value of the total Malmquist productivity in 1998-2009 was 9.4%, while its growth was the impact of technological change index (9.4%) per year. Calculations of coefficients of efficiency made by using BC1 and BC2 models of stochastic frontier functions (SFA) confirmed high efficiency of Polish agriculture in the analyzed period. In the case of BC1 model , it ranged from 86.7% (2002) to 100% (2006, 2007). Solutions BC2 model provided slightlylower results compared with the results of BC1 model . Efficiency coefficients in this model ranged from 86.3% (2001) to 99.8 (1998). Efficiency coefficients calculated at the time the SFA show steady growth. In the BC1 model in 1998 efficiency ratio was 45.0% and in 2009 reached 78.4%, while in the BC2 model efficiency coefficients were 52.2% in 1998 and 96.9% in 2009.
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