RESUMO
Local communities surrounding wildlife corridors and natural reserves often face challenges related to human-wildlife coexistence. To mitigate the challenges and ensure the long-term conservation of wildlife, it is important to engage local communities in the design of conservation strategies. By conducting 480 face-to-face interviews in 30 villages along and adjacent to the Selous-Niassa Wildlife Corridor (Tanzania), we quantified farmers' preferences for farm-based measures to mitigate African elephant damage using choice experiments. Results show that farmers considered no action the least preferred option, revealing that they are open to trying different measures. The most preferred management strategy matched with the preferences of wildlife rangers in the area, suggesting low concern about the potential conflicts between stakeholders. However, a latent class model suggests that there are significant differences among responses triggered by farmers' previous experience with elephants, the intensity of the elephant damage, and the socioeconomic situation of the farmer. Results show a marked spatial distribution among respondents, highlighting the benefits of zone management as conflicts were found to be highly context dependent. Understanding the human dimension of conservation is essential for the successful planification and implementation of conservation strategies. Therefore, the development and broad utilization of methodologies to gather specific context information should be encouraged.
RESUMO
El propósito de esta investigación es analizar las relaciones entre las condiciones de contratación y el absentismo laboral en una muestra de 5524 trabajadores, con el fin de identificar qué segmentos (por tipo de contrato y jornada, tiempo contratado, antigüedad en la empresa y bajas por enfermedad común ocurridas en los tres últimos años) están más relacionados con la posibilidad de sufrir un proceso de incapacidad temporal en el año 2017. Se realizaron análisis descriptivos, la prueba chi-cuadrado Para tablas de contingencia con dos muestras independientes y los árboles de decisión, basados en el algoritmo CHAID (Chi-squared Automatic Interaction Detection), para detectar las variables más importantes en la identificación de perfiles con una mayor probabilidad de sufrir una incapacidad temporal derivada de contingencias comunes. Los resultados ponen de manifiesto la existencia de diferencias entre las variables estudiadas. Se considera la modalidad de contratación un factor de riesgo importante del absentismo laboral
The purpose of this research is to analyze the relationship between hiring conditions and work absenteeism in a sample of 5.524 workers in order to identify which segments (by type of contract and workday, time hired, seniority in the company and sick leaves occurred in the last three years) are more related to the possibility of suffering a disease process in 2017. Descriptive analyzes, the chi-square test for contingency tables with two independent samples, and the decision trees based on the CHAID algorithm (Chi-squared Automatic Interaction Detection) were carried out to detect the most important variables in the identification of profiles with a greater probability of suffering a temporary disability. The results show the existence of differences between the variables studied. The hiring modality is considered an important risk factor for work absenteeism
