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Rural Areas and Big Game Hunting in Spain: Analysis of Preferences According to Hunter's Gender and Family Income Cover

Rural Areas and Big Game Hunting in Spain: Analysis of Preferences According to Hunter's Gender and Family Income

Open Access
|Jul 2024

Abstract

Hunting is one of the main uses associated with land which, in the current context, has a strong economic significance for rural areas. This work generates knowledge that can be useful for designing strategies that favour the economic dynamisation of rural areas, in a context of population loss and scarce economic diversification. In this sense and based on the results of a survey of hunters (N = 1662), the objectives of the work are first to analyse the territorial distribution and abundance of big game species in Spain and secondly, to examine the existence of correlations, between hunters' income, hunters’ gender and preferences for certain big game species. This analysis is based on primary and secondary sources and its characteristics are explained in the methodology section. Univariate and bivariate descriptive statistics were used, specifically the chi-square contingency test, which allows us to determine the relationship of dependence between two variables. We found that female hunters showed greater interest than their male counterparts in hunting big game species, and the same interest was found in hunters with higher income level regardless of their gender. Our results may help to design and develop socio-economic strategies related to supply and demand hunting activities.

Language: English
Page range: 305 - 323
Submitted on: Oct 31, 2023
Accepted on: May 10, 2024
Published on: Jul 3, 2024
Published by: Mendel University in Brno
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2024 Juan Ignacio Rengifo Gallego, Luz María Martín Delgado, Javier Pérez-González, José Manuel Sánchez Martín, Carlos Sánchez-García, Sebastián Hidalgo de Trucios, published by Mendel University in Brno
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.