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During the last decade, Common Agricultural Policy (CAP) has prioritised measures focused on sustainability and quality over production. The purpose of the AGRICORE project is to develop a tool based on agent-based modelling to assist policymakers in the design of improved policies. The present study belongs to a use case of this project that measures the environmental and climate impact of Measure 11—Organic agriculture—from the 2014–2020 Rural Development Programme of the Andalusian olive sector. As part of this study, a survey campaign was conducted, which collected data from 189 organic olive farmers in Andalusia. The data were analysed in order to characterise organic olive farmers and their farms. This paper presents the resulting characterisation, covering some information gaps detected as part of the AGRICORE project, such as their acceptance of M11 and willingness to innovate and take risks. The results highlight that most of the respondents are unaware of important aspects, such as exploitation costs and their belonging to environmentally protected areas. Furthermore, it is interesting to note that most farmers are approximately 60 years old, and more than 35% are women. Furthermore, most of those studied do not intend to return to conventional production methods. These results help to provide a current perspective of the organic olive sector in Andalusia, which can be used by policymakers to design improved policies that entail an increase in organic olive production. [ABSTRACT FROM AUTHOR]

This study analyzes the effects that action 112 of the Rural Development Policy had on the socioeconomic status of Slovenian dairy farms. The data used in this paper were collected from Farm Accountancy Data Network (FADN), a database for applicants in action 112 (young farms transferees), from whose applications for participation in this action the data were obtained. Twenty-eight different econometric models were developed during the first stage of the research. The evaluation of the models was subsequently performed by applying valid statistical and econometric criteria. The results reveal the main positive effects that action 112 had on socioeconomic indicators of the dairy farms: number of full-time labor power, number of head of large livestock, total revenue (in euros) and net value added. Statistically significant differences in benefits from action 112 among dairy farms were determined by using two sets of dummy variables: region and level of education. The research in the field of the effect of the rural development policy action support of young farmers on socioeconomics performance of milk farms can make a significant contribution to developing the researchers' work and policy makers' decisions. Furthermore, this research is important from the agronomic point of view, since its results support two of the basic goals of Common agricultural policy after 2020: environmental care and conservation of landscape and biodiversity. [ABSTRACT FROM AUTHOR]