This research work uses stochastic frontier analysis (SFA) and data envelopment analysis (DEA) to examine the sources of agricultural productivity growth over time and of productivity differences among countries and regions in European Union over the period 1980-1998. A comparison of the mean productivity scores obtained by the two approaches show that DEA results are higher than in SFA results, because DEA fits a tighter (more flexible) frontier than the translog frontier. This study is a valuable warning for people to be carefully about the effects of the methodology choice upon their results and to use more than one approach if they suspect that it may have some influence
In this paper, we estimate agricultural productivity change at country level based on the same data ...
This study examines productivity growth of 3 ECOWAS crops, namely, rice, cotton and millet, using bo...
In this paper, we estimate agricultural productivity change at country level based on the same data ...
This research work uses stochastic frontier analysis (SFA) and data envelopment analysis (DEA) to ex...
This article intends to compute agriculture technical efficiency scores of 27 European countries dur...
This article presents multi-output, multi-input total factor productivity (TFP) growth rates in agri...
This article presents multi-output, multi-input total factor productivity (TFP) growth rates in agri...
This research work examines levels and trends in global agricultural productivity in fifteen Europe...
This research work examines levels and trends in global agricultural productivity in fifteen Europe...
This article presents multi-output, multi-input total factor productivity (TFP) growth rates in agri...
Production economics forms a very important part of an enormous range of economic theory. Agricultur...
This article presents multi-output, multi-input total factor productivity (TFP) growth rates in agri...
This study examines productivity growth of 3 ECOWAS crops, namely, rice, cotton and millet, using bo...
This paper employs Data Envelopment Analysis and Stochastic Frontier Analysis to examine the technic...
FACEPA. Farm Accountancy Cost Estimation and Policy Analysis of European Agriculture (European Commi...
In this paper, we estimate agricultural productivity change at country level based on the same data ...
This study examines productivity growth of 3 ECOWAS crops, namely, rice, cotton and millet, using bo...
In this paper, we estimate agricultural productivity change at country level based on the same data ...
This research work uses stochastic frontier analysis (SFA) and data envelopment analysis (DEA) to ex...
This article intends to compute agriculture technical efficiency scores of 27 European countries dur...
This article presents multi-output, multi-input total factor productivity (TFP) growth rates in agri...
This article presents multi-output, multi-input total factor productivity (TFP) growth rates in agri...
This research work examines levels and trends in global agricultural productivity in fifteen Europe...
This research work examines levels and trends in global agricultural productivity in fifteen Europe...
This article presents multi-output, multi-input total factor productivity (TFP) growth rates in agri...
Production economics forms a very important part of an enormous range of economic theory. Agricultur...
This article presents multi-output, multi-input total factor productivity (TFP) growth rates in agri...
This study examines productivity growth of 3 ECOWAS crops, namely, rice, cotton and millet, using bo...
This paper employs Data Envelopment Analysis and Stochastic Frontier Analysis to examine the technic...
FACEPA. Farm Accountancy Cost Estimation and Policy Analysis of European Agriculture (European Commi...
In this paper, we estimate agricultural productivity change at country level based on the same data ...
This study examines productivity growth of 3 ECOWAS crops, namely, rice, cotton and millet, using bo...
In this paper, we estimate agricultural productivity change at country level based on the same data ...