No abstract

This paper presents the results of research regarding the environmental performances of Italian farms with agritourism compared with farms without agritourism. In Italy, agritourism is considered an agricultural activity and can only be performed by a farmer. Moreover, Italian national legislation forces the farmer to dedicate himself mainly to traditional farming, rather than to tourism activities. For this reason, environmental performances have been highlighted by analyzing only features and production systems of the farms. By utilizing the most frequent indicators used in studies regarding sustainability, the authors show how Italian agritourisms tend to develop more environmentally friendly agricultural methods, which have a positive impact on biodiversity, landscape and natural resources. The empirical analysis is based on the Italian FADN (Farm Accountancy Data Network) dataset. The European FADN was created to represent farms’ technical and economic operation in the European Union and on which it drafts the agricultural and rural policies. The dichotomous structure of the dependent variable (presence or absence of agritourism at the farm) has a propensity for an assessment method based on Binary Response Model Regression.Electronic supplementary materialThe online version of this article (doi:10.1186/s40064-015-1353-4) contains supplementary material, which is available to authorized users.

Purpose The purpose of this paper is to analyze the income sources of Italian farm tourism businesses, considering some economic, social and environmental variables that represent internal business factors and highlighting their contribution to the development of this income. Design/methodology/approach The empirical analysis is based on the Italian section of the Farm Accountancy Data Network (FADN) that includes 365 Italian farm tourism businesses. FADN is an instrument to assess the income of European agricultural holdings and the impacts of the Common Agricultural Policy. The analysis has been carried out through a Multivariate Regression Model. Findings The results of this paper have showed that some economic variables (food service, direct selling and public subsidies) determine an increase in farm income, whereas an increased number of family employees may have a negative impact on this income. Research limitations/implications External factors, such as proximity to urban or cultural centres, may impact on agri-tourism income, but these are not considered in the statistical analyses. Another limit of this paper is the exclusion of tourists’ motivational variables and others mostly referring to the market (pricing policies, promotional strategies, etc.). Furthermore, this paper focuses on a specific country and this could reduce the generalization of its results. Practical implications Thanks to the selected regression drivers, farmers who offer tourism services could recognize a priori their entrepreneurial opportunities and understand the variables on which to focus to increase their income, which could be in turn strengthened by policies seeking to develop the endogenous potential. Social implications Agri-tourism can fulfill various functions in the regional economy, with positive implications for the quality of life of rural societies. Originality/value On the European level, there is currently a lack of research studying the variables affecting agri-tourism revenue and entrepreneurial choice that mostly define profitability. This may be the first time that FADN data set has been utilized for researching farm tourism businesses in Europe.

This paper investigates how and to what extent European and national policies have financed Italian agritourism. It analyses financial support derived from the Common Agricultural Policy (CAP) (First and Second Pillar) and national and local subsidies. For this purpose, the authors have proposed a comparative analysis between Italian agritourism and farms without tourism activities, by stressing the distribution of public financial supports concerning the 2007–2013 programming period of the European Union (EU) for Rural Development. The empirical analysis is based on the Italian Farm Accountancy Data Network (FADN) dataset. The data were stratified by altimetry zone and farm size. Descriptive statistics and the Analysis of Variance (ANOVA) for each group were used. The main results show how the Second Pillar has mainly supported small and medium-sized farms with tourism activities and located in disadvantaged areas. This study could be useful to policymakers regarding the evaluation of the mission for diversification in agriculture, represented here by the carrying out of tourist activities on farms and the contribution for the retention of small-scale farms in marginal areas.

The aim of the paper is to evaluate the sustainability of Alternative Food Networks in Italy through the construction of a composite indicator, the Global Sustainability Index. The index is able to provide decision-makers with indications on synergies and tradeoffs between the different dimensions of sustainability. The methodological approach is of the quantitative type, and the information used in the study comes from a direct survey that involved 226 producers. The results show that the environmental indicators that take the greatest value are those concerning problems of great impact on the actual debate such as the loss of genetic diversity and the use of packaging for agro-food products. Regarding economic sustainability, the indicator with the highest value is related to the ability of the Alternative Food Networks to diversify sales channels. This evidence confirms the producers' increasing difficulty to adopt mono-directional strategies, favoring a differentiation of markets and, consequently, a reduction of economic risks. In terms of social sustainability, two interesting evidences emerge: the considerable importance attributed to the information of the features of the products and the increase in work involvement following participation in the Alternative Food Networks.