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Session ID 4731, Paper# 19690

The farm typology approach uses to respond to the research questions where statistics on average farm characteristics are not representative for the majority of the farms in the study regions. Taking into account the heterogeneity of agriculture within a region is the primary objective of the constructing farm typologies. The selection of factors that define the farm typology varies from study to study, and is governed by the research purpose. The objective of the SURE-Farm farm typology is to classify EU farms in groups that are homogeneous, characteristic and representative regarding their challenges to cope with requirements of resilience of farms and farming systems., EU; en; contact: unaygailhard@iamo.de

In this article, we analyze the influence of sociodemographic factors and consumer attitudes toward direct marketing products and sources (outlets) on the frequency of buying food from farmers’ markets and farm shops. By conducting an intercept survey with pedestrians in 2011 and 2012, we interviewed a total of n = 550 consumers. The target regions of the study were the Eastern German federal states. The study uses two ordered logit regression models to investigate consumers’ shopping behaviour at farmers’ markets and farm shops separately. We find that different factors significantly influence consumers’ buying behaviour at the two direct marketing outlets. Specifically, both a more favorable view toward the freshness of directly marketed foods and the intention to support local producers are positively related to consumers’ purchase frequency from farmers’ markets. In contrast, consumers’ purchase frequency from farm shops is significantly influenced by their perception of the cost of the products, confidence in food producers of directly marketed products, perception of the safety of the food and perception of the accessibility of farm shops. The study results indicate that considering consumer behaviour separately for different direct marketing channels for food rather than considering the entire category of local food outlets may provide new and valuable insights.

This study aims to contribute to the better understanding of how voluntary-based policy intervention has affected the farm structure, especially the evolution of on-farm labour. The analysis on the relationship between farms that participated in agri-environmental measures (AEMs) and evolution of their on-farm labour is investigated during the period 2004–2014 with using Slovenian Farm Accountancy Data Network (FADN). More specially, the relationship between AEMs and hired labour use is explained by farm size and farm type divisions. The results of statistical analysis give evidence that hired labour use is positively correlated by AEMs in all farm size classes. Regardless of farm size, increase in the demand for hired labour use in AEM adopted farms could be explained by the requirements of environmental farming practices that are often more labour intensive than the traditional farming practices. Farm type division analysis reveals that the correlation between AEMs and hired labour use is significantly positive, depending on the farm type. For field crop farms, we observe a weak correlation between AEM payments and total labour use. This could explain with the application of AEM practices do not necessary perceived the hired labour use as a complementary to family labour by filed crop farm managers.

This study analyses the determinants of labour force transition to inactivity in the German labour market. Using German Labour Force Survey (LFS) data the influence on the transition flow to inactivity of factors such as age, education, marital status, sex and registration at a public employment office are examined. We present estimates of degree of urbanisation specific multinominal logit models (MLM) to analyse the determinants of individuals’ transition probabilities in rural and urban areas. By comparing the influence of the factors that affect transition to inactivity before (2002-07) and during (2008-09) the global economic crisis, this paper contributes to the general understanding of transitional labour market flow dynamics during the crisis period. The findings suggest that during the crisis period education level and marital status have had different impacts in rural and urban regions on the transition to inactivity. While these two factors influenced the transition to inactivity before the crisis, their effect has been stronger during it. Additionally the results suggest that the interaction of individuals with institutional settings (e.g. registration at a public employment office) have to be taken into account when designing active labour market policy measures, especially during crisis periods. Knowledge about the influence of these factors on the transition to inactivity, and their different effects in rural and urban areas, provides important information for designing policies aiming to reduce the transition to inactivity during crisis periods., http://dx.doi.org/10.7896/j.1320

Farm demographics concerns dynamics within the farmers’ population and the provision of labour to farming systems, capturing both labour directly employed by the farmers’ population and hired labour force. This work uses both quantitative and qualitative data to provide an overview of trends in demographic processes of European farming systems over the last decades. The ultimate goal of this report is to identify and evaluate measures which improve the resilience of farm demographics and facilitate entry into the sector, for both farms and labour., EU; en; contact: erwin.wauters@ilvo.vlaanderen.be

Farm demographics concerns dynamics within the farmers’ population and the provision of labour to farming systems, capturing both labour directly employed by the farmers’ population and hired labour force. This work uses both quantitative and qualitative data to provide an overview of trends in demographic processes of European farming systems over the last decades. The ultimate goal of this report is to identify and evaluate measures which improve the resilience of farm demographics and facilitate entry into the sector, for both farms and labour.