Summary: | The “Modernisation of agricultural statistics” project had three main goals: (1) modernisation of the statistical register of agricultural and horticultural enterprises (Mapu), (2) identification of new data sources that use agricultural statistics, and (3) the better utilisation of farm related geospatial data to define the location of farms. In addition, an international seminar was held in Poland during the project in cooperation with other countries carrying out a similar project and with representatives of Eurostat. The project was divided into work packages in accordance with the main goals. The first work package included the modernisation of Mapu. This work package was further divided into two main tasks based on data sources: administrative data and direct data collection. Before the concrete modernisation of systems and databases, we identified how well the definition of a farm used in Mapu corresponds with the definition of a farm used in EU statistics (Article 2 of regulation (EU) 2018/1019 on integrated farm statistics). In practice, the definition of a farm entity used in Mapu in accordance with the Integrated Administration and Control System (IACS) corresponds well with the definition used in EU statistics. The most significant difference is that Mapu mainly does not include fur farming, reindeer husbandry and beekeeping. Apart from fur farming, the significance of these sectors is low, and this project does not recommend that enterprises engaged in these sectors be added to Mapu. Fur farms are included in the Business Register of Statistics Finland, which can be used to produce statistics of fur farms. If statistical obligations related to fur farming expand later, for example, as a result of the SAIO regulation, adding fur farms to Mapu should be reassessed. Mapu’s databases and related data flows were modernised during the project. The removal of direct database rights to datasets of agricultural administration for reasons related to information security was a significant change regarding ...
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