Farmers' decisions to adapt to flash floods and landslides in the Northern Mountainous Regions of Vietnam.

Understanding household's decision making in agricultural production to natural hazards is significant for policymakers and extension organizations in supporting farmers to optimize adaptive strategies, there are, however, still limited empirical researches that emphasize the determinants affecting the choice of measures in the process of adaptation. This paper explores the decision-making process of rural households in adapting to flash floods and landslides (FF&LS) by conducting a household survey on 405 purposively selected households in Yen Bai province, one of the poorest mountainous regions in Vietnam. Based on the multi-portfolio framework, the study assumes that farmers have multiple choice of adaptation strategies simultaneously and these adaptation measures are correlative. Multivariate Probit models were used to figure out the household decision making process in adapting to FF&LS. Survey results showed that changing cropping patterns, crop variegation, diversifying types of crop varieties, as well as managing and implementing crop protection (soil and plant) are the primary adaptation measures applied by local farmers. Furthermore, lack of money, inadequate support from local government, shortage of machinery and technical equipment, as well as insufficient knowledge about FF&LS were listed as major constraints in the study area. The MVP analysis indicated that all farmers' perception, socio-economic, farming features, and institutional conditions strongly influence the farmers' adaptation decisions regarding FF&LS. Future policies may therefore need to consider these major contributing factors with appropriate interventions to facilitate suitable adaptations for local farmers.

Natural hazard's effect and farmers' perception: Perspectives from flash floods and landslides in remotely mountainous regions of Vietnam.

Understanding perceptions of indigenous people toward natural disasters is essential in social and environmental research to facilitate further studies in investigating the impacts of the events, as well as in examining the adaptive strategies and having implications for policymakers and relevant institutional bodies. We took this essential feature to study the perceptions of local people toward the two common natural disasters: flash floods and landslides. We selected the case study in three communes (An Binh, An Thinh, and Dai Son) in Van Yen district, Yen Bai province in Vietnam. This is because flash floods and landslides are two frequent natural disasters that highly adversely affect these areas where major poor ethnic minority communities reside. We conducted six Focus Group Discussions (FGDs) and household surveys (405 households) in 2016. The results showed that a decline in productivity, a decrease in income, more hard-working conditions, and an increase in daily expenses were the most observed impacts of these natural disasters in the communes. The analysis also revealed that almost 45% of farmers perceived an increasing trend in the frequency and impacts of flash floods and landslides over the past 15 years. A Multinomial Logit (MNL) model was used to analyze the determinants of farmers' awareness of flash floods and landslides, which indicated that farmers' perceptions of flash floods and landslides are associated with socio-economic characteristics, such as gender, agricultural experience, ethnic groups, climate information, and household income conditions. We suggested that local governments should pay more attention to strengthen farmers' awareness to help improve perceptions of local people toward common natural disasters so that they would gain better adaptive capacities and become more sustainable, which are in line with the Sustainable Development Goals.