Farmers’ Flood Risk Perception in Turkey: The Case of Mersin Province

Autor:	Seyit Hayran
Rok vydání:	2023
Předmět:	Animal Science and Zoology Agronomy and Crop Science Applied Microbiology and Biotechnology Food Science
Zdroj:	Emirates Journal of Food and Agriculture.
ISSN:	2079-0538 2079-052X
DOI:	10.9755/ejfa.2023.v35.i5.3101
Popis:	Understanding perception of the farmers’ flood risks has become increasingly important. This study aimed to evaluate the flood risk perception of farmers by constructing a farmer risk perception score based on eight statements. Data was gathered from 250 randomly selected farmers and analyzed using descriptive statistics, factor analysis, and binary logistic regression. Based on the flood risk perception score, the farmers were classified into two groups, and the results revealed that 46.00% of surveyed farmers had a high level of flood risk perception. The binary logistic regression analysis showed that seven factors, including gender, age, household size, children, farm size, insurance intention, and flood experience, had a significant impact on farmers’ flood risk perceptions. The findings of this study may aid government organizations and farmers in enhancing their flood risk management strategies. Keywords: Flood disaster; Risk perception score; Turkey
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::7c373d4b1b0baf25a455f7e628334f4e https://doi.org/10.9755/ejfa.2023.v35.i5.3101 Zobrazit plný text záznamu