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Martínez-Peña F - Autor o Coautor
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A Gravity Model to Explain Flows of Wild Edible Mushroom Picking. A Panel Data Analysis

Publicado en:Ecological Economics. 156 164-173 - 2019-02-01 156(), doi: 10.1016/j.ecolecon.2018.09.017

Martínez-Peña F;

Afiliaciones

Agrifood Res & Technol Ctr Aragon CITA, Montanana 930, Zaragoza 50059, Spain - Autor o Coautor
Centro de Investigación y Tecnología Agroalimentaria de Aragón - Entidad de origen
European Mycol Inst EGTC EMI, Soria 42004, Spain - Autor o Coautor
Micocyl Junta Castilla & Leon Fdn Cesefor, Las Cases 4, Soria 42004, Spain - Autor o Coautor
Univ Valladolid, Fac Ciencias Econ & Empresariales, E-47011 Valladolid, Spain - Autor o Coautor
Univ Valladolid, Fac Ciencias Empresariales & Trabajo, Soria 42002, Spain - Autor o Coautor
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Resúmen

Resúmen: © 2018 Elsevier B.V. Picking wild edible mushrooms is becomingly an increasingly widespread activity. Recent research is reporting a change in the way pickers access this resource, particularly in the more developed countries. The latest studies focus on exploring the demand functions of harvesting, with the emphasis shifting away from analyses that address the issue from a commercial standpoint. Yet these studies fail to deal with the topic from a global perspective and provide only partial information that is felt to be insufficient when attempting to manage the resource efficiently. The present work seeks to provide an approach to the problem by applying, for the first time, a gravity model to study the system governing the sale of harvesting permits (www.micocyl.es, Castilla y León-Spain). The main advantage of this application is that, for the first time, three-dimensional panel data are used to link economic variables to climate variables and their interaction to the supply and demand of picking permits. Results show that the method provides key management information. Managing the picking of wild edible mushrooms should aim to focus more on handling the tourist flows it generates.

Palabras clave: Gravity model; Management; Wild edible mushroom

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Best Categ.Environmental SciencesEnvironmental Science (Miscellaneous)
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