DEEIOOEEA-Artículos, capítulos...
http://hdl.handle.net/10396/2111
2024-03-28T17:16:36ZDeterminantes de la adopción de instrumentos de gestión del riesgo en la agricultura de regadío
http://hdl.handle.net/10396/27542
Determinantes de la adopción de instrumentos de gestión del riesgo en la agricultura de regadío
Guerrero Baena, María Dolores; Gómez-Limón, José A.; Sánchez Cañizares, Sandra María
La agricultura es una actividad económica sometida a diferentes fuentes de riesgo relacionadas, principalmente, con condicionantes climatológicos y de mercado. Para gestionar los riesgos agrarios, los agricultores tienen a su disposición una amplia batería de instrumentos, tales como la diversificación de cultivos, el empleo de contratos de compraventa o el seguro agrario, entre otros. El principal objetivo de este trabajo es analizar, desde una perspectiva integral, los principales determinantes de la adopción de un conjunto de once instrumentos de gestión del riesgo en una muestra de agricultores de regadío de la cuenca mediterránea empleando modelos de regresión logística. Como objetivo complementario de este trabajo, se analizan las relaciones de complementariedad y sustitución entre instrumentos. Los resultados permiten corroborar que la mayoría de las variables consideradas (percepción del riesgo, grado de aversión al riesgo, experiencia pasada, factores sociodemográficos del agricultor y técnico‑económicos de la explotación) explican, en mayor o menor medida, la adopción de uno o varios instrumentos de gestión del riesgo. Los resultados de este trabajo contribuyen a soportar la toma de decisiones políticas en relación con la gestión del riesgo en la agricultura, en un contexto como el actual, de incidencia creciente de los impactos negativos del cambio climático.; Agriculture is an economic activity subject to different sources of risk, mainly related to climatic and market conditions. To manage agricultural risks, farmers can implement a wide range of instruments, such as crop diversification, the use of sales contracts, or agricultural insurance, among others. The main objective of this paper is to analyze, from a comprehensive perspective, the main factors explaining the adoption of a set of eleven risk management instruments considering a sample of irrigated farmers in a Mediterranean agricultural system using logistic regression models. As a complementary objective, this Austudy also analyzes the complementarity and substitution relationships between instruments. The results obtained confirm that most of the variables considered (risk perception, risk aversion, past experience, farmers’ sociodemographic characteristics, and technical-economic factors of farms) explain, to a greater or lesser extent, the adoption of one or several risk management instruments. These results contribute to support political decision-making regarding risk management in agriculture in the current context where the negative impacts of climate change are increasing.
2021-01-01T00:00:00ZThe predictive power of farmers’ risk attitude measures elicited by experimental methods
http://hdl.handle.net/10396/27541
The predictive power of farmers’ risk attitude measures elicited by experimental methods
Gómez-Limón, José A.; Guerrero Baena, M. Dolores; Sánchez Cañizares, Sandra María
Aim of study: Farmers’ behavior is shaped by their individual attitudes towards risk. Consequently, an understanding of the heteroge neous risk attitudes among farmers is key to predicting their decision-making. Therefore, there is a need for reliable methods to assess individuals’ risk attitudes. The main objective of this paper was to contribute to the existing literature about the external validity of risk attitude measures obtained with diverse experimental methods.Area of study: Irrigated agriculture in a Mediterranean climate region.Material and methods: Two different experimental methods widely applied in the agricultural sector were used to elicit farmers’ risk attitudes in a sample of irrigators in southern Spain: the Eckel and Grossman lottery-choice task and a self-assessment general risk ques-tion. We evaluated the explanatory power of both measures for the farming risk borne by farmers, using an approach based on dispersion measures of farming returns.Main results: Results revealed stability across these elicitation methods, but the study yielded no evidence of statistical correlation with the farming risk actually borne by farmers, suggesting that it may not be advisable to use these methods for directly predicting farmers’ decision-making in modeling exercises. Research highlights:The most relevant innovation of this paper was the validation approach followed, based on measures assessing the overall level of farming risk borne by individual producers, and the complementary analyses controlling for key variables that could affect farmer risk-taking.
2020-01-01T00:00:00ZAn analysis of the demand for tourist accommodation to travel with dogs in Spain
http://hdl.handle.net/10396/27442
An analysis of the demand for tourist accommodation to travel with dogs in Spain
Ramos Ruiz, José; Aguilar Rivero, Minerva; Aja Valle, Jaime; Castaño-Prieto, Lucía
Pets, generally, and dogs have become an essential part of families. This situation implies that people consider their dogs when planning family holidays, excluding moving to a second home. This study aims to investigate the perceptions of dog owners according to the demand for tourist establishments where they can stay with their pets. A total of 1391 dog owners’ surveys were collected and analyzed, and various covariance-based structural equation modelling (CB-SEM) was developed to determine the suitability of the measurement model, the second-order factors, and the relationships between the different constructs. The main results of this research show that the motivations for traveling with the dog, the limitations this encounters, and, above all, the attachment that the family has with its pet significantly influence the choice of accommodation. The findings of this research will help hotel managers with the design of policies that meet the needs of families travelling with their dogs. The analysis of dog owners’ motivations for choosing tourist accommodation due to their attachment and the limitations for travelling allows us to obtain more accurate information.
2024-01-01T00:00:00ZMultiobjective evolutionary algorithms to identify highly autocorrelated areas: the case of spatial distribution in financially compromised farms
http://hdl.handle.net/10396/27396
Multiobjective evolutionary algorithms to identify highly autocorrelated areas: the case of spatial distribution in financially compromised farms
García-Alonso, Carlos R.; Pérez Naranjo, Leonor; Fernández-Caballero, Juan Carlos
Local Indicators of Spatial Aggregation (LISA) can be used as objectives in a multicriteria framework when highly autocorrelated areas (hot-spots) must be identified and geographically located in complex areas. To do so, a Multi-Objective Evolutionary Algo rithm (MOEA) based on SPEA2 (Strength Pareto Evolutionary Algorithm v.2) has been designed to evaluate three different fitness functions (fine-grained strength, the weighted sum of objectives and fuzzy evaluation of weighted objectives) and three LISA methods. MOEA makes it possible to achieve a compromise between spatial econometric methods as it highlights areas where a specific phenomenon shows significantly high autocorrelation. The spatial distribution of financially compromised olive-tree farms in Andalusia (Spain) was selected for analysis and two fuzzy hot-spots were statistically identified and spatially located. Hot-spots can be considered to be spatial fuzzy sets where the spatial units have a membership degree that can also be calculated.
2011-01-01T00:00:00Z