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- Heshmati, Almas, et al.
(author)
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Efficiency of the Swedish pork industry : A farm level study using rotating panel data 1976-1988
- 1995
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In: European Journal of Operational Research. - 0377-2217 .- 1872-6860. ; 80:3, s. 519-533
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Journal article (peer-reviewed)abstract
- This paper investigates the issues of technical efficiency, technical changes and bias in technical change in the Swedish pork industry using rotating panel data. We use a generalized Cobb-Douglas model, where the coefficients are linear functions of time. This allows input elasticities to vary over time. Technical changes and bias in technical change are farm- and time-specific. The model distinguishes farm heterogeneity from technical inefficiency. We use a corrected least squares procedure to estimate the model. The data consists of a rotating panel of 450 pork producing farms with a total number of 1506 observations during the period of 1976-1988. We compare the productive performance of farms by size of farm land and animal stock, and over time. The empirical results show among other things that technical change is found to be positive but rapidly declining during the period 1976-1980 turning into technical regress during the remaining period, 1981 to 1988. The mean technical efficiency is found to be around 91%.
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| 3. |
- Hjalmarsson, L., et al.
(author)
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DEA, DFA and SFA : A comparison
- 1996
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In: Journal of Productivity Analysis. - 0895-562X .- 1573-0441. ; 7:2-3, s. 303-327
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Journal article (peer-reviewed)abstract
- The nonparametric data envelopment analysis (DEA) model has become increasingly popular in the analysis of productive efficiency, and the number of empirical applications is now very large. Recent theoretical and mathematical research has also contributed to a deeper understanding of the seemingly simple but inherently complex DEA model. Less effort has, however, been directed toward comparisons between DEA and other competing efficiency analysis models. This paper undertakes a comparison of the DEA, the deterministic parametric (DFA), and the stochastic frontier (SFA) models. Efficiency comparisons across models in the above categories are done based on 15 Colombian cement plants observed during 1968-1988. ©1996 Kluwer Academic Publishers.
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- Kumbhakar, S. C., et al.
(author)
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Parametric approaches to productivity measurement : A comparison among alternative models
- 1999
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In: Scandinavian Journal of Economics. - 0347-0520 .- 1467-9442. ; 101:3, s. 405-424
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Journal article (peer-reviewed)abstract
- This paper deals with modeling total factor productivity (TFP) growth in a flexible manner using panel data. Several competing parametric models are used to explore whether there are any similarities in the estimates of TFP growth and technical change among these models. Using a primal approach, we decompose TFP growth into different components. The models are then used to measure productivity and technical change in the Swedish cement industry. In general, the results are found to be model dependent and often conflicting, although much less so for returns to scale and overall productivity growth.
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| 5. |
- Kumbhakar, S. C., et al.
(author)
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Temporal patterns of technical efficiency : Results from competing models
- 1997
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In: International Journal of Industrial Organization. - 0167-7187 .- 1873-7986. ; 15:5, s. 597-616
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Journal article (peer-reviewed)abstract
- In recent years several models have been proposed to estimate time-varying technical efficiency. These models differ to a great extent in specification and estimation. This paper undertakes a comparison between different specifications proposed in earlier research. The models are used to estimate the technical efficiency of 15 Colombian cement plants observed in the period 1968-1988. The efficiency scores and the time path of efficiency are found to vary substantially across models. ©1997 Elsevier Science B.V.
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