Factors Influencing Cassava Farmers’ Climate Change Risk Perception in Anambra State, Nigeria

• 作者: Onyekachukwu Umeadi Ejike
• 来源期刊: 美国气候变化期刊(英文)
• 学科: 经济
• 关键词: Climate Change Risk PERCEPTION Cassava Farmers
• 年，卷（期）: 2020,（3）
• 页码范围: 217-227
• 页数: 11页
• 分类号: F32

摘要

This study analyzed the determinants of climate change risk perception among cassava farmers in Anambra state, Nigeria. The specific objectives were to describe the socio-economic characteristics of cassava farmers in the area and to examine the farmers’ climate change risk perception through examining their perception of the various sources of climate change risk. Multi-stage sampling technique was used to select one hundred and sixty (160) respondents who were selected from 40 communities and 8 Local Government Areas from across the four Agricultural Zones of the state. Data were obtained through the administration of structured questionnaire to the respondents. Data collected were analyzed using descriptive statistics, weighted mean obtained from Likert scale, and Tobit regression model. The results of the socioeconomic characteristics of farmers showed that majority of the farmers had formal education and only 15.19% had no formal education, 56.74% of the farmers had 11 years of farming experience. The farmers’ risk perception showed that the most important risk factors perceived by cassava farmers in their farm were flooding/erosion, increased frequency and intensity of rainfall and incidence of pest and diseases. The factors that influenced the farmers’ level of risk perception included age, level of education, access to extension agents and access to climate change information. Based on the findings of cassava farmers’ level of risk perception, it was inferred that the farmers have reasonable perception of climate change risk. It was therefore recommended from the findings of this research that there is need for effective and functional extension services and provision of enabling environment and policies that will help boost the socio-economic welfare of farmers as this will significantly help in the management of climate change risk in the study area.