Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 536607
Title Mikrodaten : Eine wichtige Quelle für die Bewertung politischer Maßnahmen
Author(s) Poppe, Krijn; Vrolijk, Hans
Source EuroChoices 17 (2018)1. - ISSN 1478-0917 - p. 28 - 35.
DOI https://doi.org/10.1111/1746-692X.12169
Department(s) LEI Programmamanagement
Publication type Refereed Article in a scientific journal
Publication year 2018
Abstract The FLINT project (Farm Level Indicators for New Topics in policy evaluation) was aimed at testing the feasibility of collecting data on the sustainability performance of farms through the European Farm Accountancy Data Network (FADN). The project defined a list of sustainability themes based on an assessment of policy needs, the existing literature and a review of national initiatives to measure sustainability. Data were collected in nine Member States (Finland, France, Germany, Greece, Hungary, Ireland, the Netherlands, Poland and Spain) from 1,100 farms of different types. Although some problems were encountered, mainly due to the initial pilot project character of FLINT, we conclude that data collection is feasible, whatever the way a Member State has organised its data collection for FADN. The FLINT project has investigated options for upscaling the results from 9 to 28 Member States to create a representative panel with farm-level sustainability data. This leads to the conclusion that the most attractive option is to reduce the current FADN sample in order to provide the sustainability data that are urgently needed for improved policy evaluation. This could be done without sacrificing information on other important indicators, such as income from farming.
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