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Is agritourism eco-friendly? A comparison between agritourisms and other farms in Italy using farm accountancy data network dataset

Overview of attention for article published in SpringerPlus, October 2015
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Title
Is agritourism eco-friendly? A comparison between agritourisms and other farms in Italy using farm accountancy data network dataset
Published in
SpringerPlus, October 2015
DOI 10.1186/s40064-015-1353-4
Pubmed ID
Authors

Luigi Mastronardi, Vincenzo Giaccio, Agostino Giannelli, Alfonso Scardera

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.

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The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 133 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 133 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 15 11%
Researcher 12 9%
Student > Ph. D. Student 12 9%
Lecturer 8 6%
Student > Bachelor 8 6%
Other 20 15%
Unknown 58 44%
Readers by discipline Count As %
Agricultural and Biological Sciences 16 12%
Social Sciences 12 9%
Economics, Econometrics and Finance 10 8%
Environmental Science 9 7%
Business, Management and Accounting 8 6%
Other 17 13%
Unknown 61 46%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 13 October 2015.
All research outputs
#18,429,163
of 22,830,751 outputs
Outputs from SpringerPlus
#1,260
of 1,850 outputs
Outputs of similar age
#200,678
of 279,097 outputs
Outputs of similar age from SpringerPlus
#84
of 130 outputs
Altmetric has tracked 22,830,751 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,850 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one is in the 21st percentile – i.e., 21% of its peers scored the same or lower than it.
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We're also able to compare this research output to 130 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.