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During the last decades an increase of unpaid overtime has been observed combined with the inversion of the working time decreasing trend. This article analyses the data from the Labour Force Survey to estimate the determinants of unpaid overtime in Greece and uses the results to test various theoretical explanations.

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The purpose of this study is to indicate and analyse the factors that affect the decision of the Prespa bean producers to implement Good Agricultural Practices (GAP) in their farmlands. Additionally, the social characteristics of the producers are analyzed in order to obtain a broader picture. To achieve the above objectives, a logit model was applied as well as descriptive statistics for the analysis of the personal and social characteristics of farmers. The research was conducted in the Florina Prefecture of Western Macedonia through questionnaires that were filled in during personal interviews with the producers. The results of the research showed that growing PGI (Protected Geographical Indication) products, attending training seminars, the educational level of the producers, the earned income, the communication and information by an agricultural engineer affect significantly the decision of the producers to apply Good Agricultural Practices.

This paper investigates the factors that affect the decisions of the Prespes Beans' (Fassolia 'Presponʼ) producers to certify their product as a product of protected geographical indication (PGI). The study was based on primary data collected by means of a questionnaire completed by both PGI certified and noncertified producers. The logit model was used for the indication of factors that affect the producers' decision to certify or not to certify their product as PGI. Descriptive statistics were also used for the study of leaders' social features. The research results showed that the producers' decision of adopting the protected geographical indication (PGI) certification was significantly linked to membership producer organizations (cooperatives or other groups), the years of agricultural experience, the size of the cultivated land as well as the motives for joining quality assurance schemes.