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Analysing the efficiency of diversified farms: Evidences from Italian FADN data
Abstract Based on data drawn from the national section of the EU Farm Accountancy Data Network (FADN) database, the study investigates the efficiency of a panel sample of Italian farms practising other gainful activities. An output-oriented Data Envelopment Analysis is performed for each year from 2012 to 2017. A second step of analysis is carried out by using the Malmquist Index in order to analyse inter-temporal productivity changes and to decompose its variation into three components, that is, the variations in pure technical efficiency, the variation in scale efficiency and the technological progress for every two years. Results show there is much room for improving the performances of diversified farms, even when considering the variability observed among farms in terms of efficiency scores and across the investigated period. Some variables at contextual and farm levels – farm's location and size– relate to the efficiency performances of diversified Italian farms. Over the investigated period of time, the technological change supports farms' performances and contrasts some situations of low managerial efficiency.
Highlights A sample from Italian FADN, consisting of 505 diversified farms observed from 2012 to 2017, has been investigated. DEA analysis and Malmquist Index are employed to assess farms' efficiency. Italian diversified farms show low efficiency levels. Technological change supports farms' performances and contrasts some situations of low managerial efficiency. Policy choices should foster the efficiency of diversified farms, due to their relevance in rural development.
Analysing the efficiency of diversified farms: Evidences from Italian FADN data
Abstract Based on data drawn from the national section of the EU Farm Accountancy Data Network (FADN) database, the study investigates the efficiency of a panel sample of Italian farms practising other gainful activities. An output-oriented Data Envelopment Analysis is performed for each year from 2012 to 2017. A second step of analysis is carried out by using the Malmquist Index in order to analyse inter-temporal productivity changes and to decompose its variation into three components, that is, the variations in pure technical efficiency, the variation in scale efficiency and the technological progress for every two years. Results show there is much room for improving the performances of diversified farms, even when considering the variability observed among farms in terms of efficiency scores and across the investigated period. Some variables at contextual and farm levels – farm's location and size– relate to the efficiency performances of diversified Italian farms. Over the investigated period of time, the technological change supports farms' performances and contrasts some situations of low managerial efficiency.
Highlights A sample from Italian FADN, consisting of 505 diversified farms observed from 2012 to 2017, has been investigated. DEA analysis and Malmquist Index are employed to assess farms' efficiency. Italian diversified farms show low efficiency levels. Technological change supports farms' performances and contrasts some situations of low managerial efficiency. Policy choices should foster the efficiency of diversified farms, due to their relevance in rural development.
Analysing the efficiency of diversified farms: Evidences from Italian FADN data
Forleo, Maria Bonaventura (Autor:in) / Giaccio, Vincenzo (Autor:in) / Mastronardi, Luigi (Autor:in) / Romagnoli, Luca (Autor:in)
Journal of Rural Studies ; 82 ; 262-270
04.01.2021
9 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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