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.
Purpose The purpose of this paper is to investigate the relationships in alternative food networks (AFNs) between the purchase of food, the motivations of consumers and their socio-demographic profiles. Design/methodology/approach The study includes a total sample of 1,200 individual questionnaires, administered to the customers of 34 AFNs in different urban areas. The methodology employed is multilevel regression analysis, which is useful for dealing with data with a nested structure. Findings The results allowed us to depict some findings: the most important motivations in purchasing decisions are the perceived quality as well as comfort with the location of the markets, shopping experience, variety of offered products and delivery methods. Other interesting results relate to the presence of children in the families and the role of women in the choice of quality food. Practical implications The observations could represent a basis for thinking about how to improve consumers’ behaviour and, at the same time, try to remove the obstacles to a greater recognition of the importance of AFNs by consumers. Originality/value The paper contributes to the debate on food policies. Indeed, the integration of the results into food policies could help to intercept the consumers’ trends and promote a transition of the food system towards a path of sustainability, in which the AFNs are the organisational expression of a change that concerns a wide geography and a large number of social and economic actors.
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.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.