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Grant support

The grant of Salvatore Raniolo has been carried out within the PNRR research activities of the consortium iNEST (Interconnected North-East Innovation Ecosystem) funded by the European Union Next-GenerationEU (Piano Nazionale di Ripresa e Resilienza (PNRR) Missione 4 Componente 2, Investimento 1.5 D.D. 1058 23/06/2022, ECS_00000043). The paper was funded by the University of Padova, project DOR2204411/22 "Indicatori di agroecologia per i sistemi zootecnici".

Analysis of institutional authors

Munoz-Ulecia, EAuthorTenza-Peral, AAuthorMartin-Collado, DAuthor

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July 18, 2024
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Article

Participatory approaches and Social Network Analysis to analyse the emergence of collective action for rural development: a case study in the Spanish Pyrenees

Publicated to:Italian Journal Of Animal Science. 23 (1): 504-522 - 2024-12-31 23(1), DOI: 10.1080/1828051X.2024.2330658

Authors: Teston, M; Sturaro, E; Munoz-Ulecia, E; Tenza-Peral, A; Raniolo, S; Pisani, E; Pachoud, C; Ramanzin, M; Martin-Collado, D

Affiliations

Ciencia Animal. Centro de Investigación y Tecnología Agroalimentaria de Aragón - Author
Ctr Invest & Tecnol Agroalimentaria Aragon CITA, Zaragoza, Spain - Author
Univ Grenoble Alpes, CNRS, UMR Pacte, Grenoble, France - Author
Univ Padua, Dipartimento Agron Animali Alimenti Risorse Nat &, Legnaro, Italy - Author
Univ Padua, Dipartimento Terr & Sistemi Agroforestali TESAF, Legnaro, Italy - Author
Univ Zaragoza, CITA, El Inst Agroalimentario Aragon IA2, Zaragoza, Spain - Author
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Abstract

This paper explores the social capital of an emergent beef quality brand in two valleys (Anso and Hecho) in the Spanish Pyrenees through a combination of participatory approaches (focus groups) and Social Network Analysis. We organised three focus groups with stakeholders from the administration, tourism and commerce, and farming sectors to evaluate the interest for the initiative. In the Social Network Analysis, we surveyed 32 local stakeholders to construct an advisory network, including the surveyed actors and non-surveyed actors that they mentioned, and a trust network, including only the surveyed actors and their trust level in each other. The trust network was analysed using the Louvain's algorithm to identify potential internal communities and the exponential random graph model (ERGM) to infer the shaping effects of actors' attributes on the network's structure. Our results revealed a general interest of the stakeholders in the beef quality brand and a sparse network characterised by a propensity to mutual and open interactions with four clusters based on employment sectors/educational levels and connected by two prominent actors. Therefore, the social capital of the initiative showed both risks because a loss of these few prominent actors could inhibit the network, and opportunities, because their presence, along with the mutual and open interactions, would ensure efficient information exchange. The investigation revealed also two possible limiting factors: the absence of a coordinator and the actors' unwillingness to assume this role. The results confirmed the efficacy of the methodology used to investigate the social capital of emergent initiatives, but further research should be carried out including stakeholders' concerns on its economic implications.HIGHLIGHTSFocus groups and Social Network Analysis allowed to explore the social capital of a beef production quality brand initiative.A sparse network with mutual interactions but few central actors emerged.The absence of a coordinator and unwillingness to cover the role are possible limiting factors.

Keywords

AbandonmentAnálisis de redes socialesBeef productionCarne de terneraConservationDesarrollo ruralEcosystem servicesEnfoques participativosFarmersInnovatioLivestock farming systemsMissing dataMountain areaParticipatory approachRural developmenSocial network analysisSustainabilityTrustWillingness-to-payZona de montaña

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal Italian Journal Of Animal Science due to its progression and the good impact it has achieved in recent years, according to the agency WoS (JCR), it has become a reference in its field. In the year of publication of the work, 2024 there are still no calculated indicators, but in 2023, it was in position 30/170, thus managing to position itself as a Q1 (Primer Cuartil), in the category Veterinary Sciences.

Independientemente del impacto esperado determinado por el canal de difusión, es importante destacar el impacto real observado de la propia aportación.

Según las diferentes agencias de indexación, el número de citas acumuladas por esta publicación hasta la fecha 2025-08-06:

  • WoS: 2
  • Scopus: 2

Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2025-08-06:

  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 47 (PlumX).

With a more dissemination-oriented intent and targeting more general audiences, we can observe other more global scores such as:

    It is essential to present evidence supporting full alignment with institutional principles and guidelines on Open Science and the Conservation and Dissemination of Intellectual Heritage. A clear example of this is:

    • The work has been submitted to a journal whose editorial policy allows open Open Access publication.
    • Assignment of a Handle/URN as an identifier within the deposit in the Institutional Repository: http://hdl.handle.net/10532/6943

    Leadership analysis of institutional authors

    This work has been carried out with international collaboration, specifically with researchers from: France; Italy.

    There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: Last Author (MARTIN COLLADO, DANIEL).