Showing 1 - 10 of 36
The paper investigates the impact of subsidies and of para-agriculture on the technical efficiency of organic farms in Switzerland, Austria and Southern Germany. The data-set consists of bookkeeping data with 1,704 observations in the years 2003 to 2005. Technical efficiency is modelled using a...
Persistent link: https://www.econbiz.de/10011346671
This paper explores the consequences for parametric and non-parametric efficiency levels and rankings when using grouped instead of individual Decision Making Units (DMU). The bias results due to the differences of the grouped DMUs frontier compared to the individual DMUs frontier. Monte Carlo...
Persistent link: https://www.econbiz.de/10001554071
In this paper we compare two flexible estimators of technical efficiency in a cross-sectional setting: the nonparametric kernel SFA estimator of Fan, Li and Weersink (1996) to the nonparametric bias corrected DEA estimator of Kneip, Simar and Wilson (2008). We assess the finite sample...
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This chapter conducts a review of the literature dealing with overall public sector performance and efficiency, it defines a methodology to assess public sector efficiency and it creates a novel and large cross-sectional panel dataset of government indicators and public sector efficiency scores....
Persistent link: https://www.econbiz.de/10012504343
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This paper examines the productivity of hired and family labour and determinants of technical inefficiency of fish farms in Ghana. A modified Cobb-Douglas stochastic frontier production function which accounts for zero usage of family and hired labour is employed on cross-sectional data of 150...
Persistent link: https://www.econbiz.de/10011292635
A detailed decomposition of the sources of the Total Factor Productivity (TFP) growth index within an output distance function framework was carried out, looking at the following components: technical change, change in technical efficiency, scale component, and violations of the profit...
Persistent link: https://www.econbiz.de/10001554028