Determinants of local adaptation strategies to climate change at farm households level in the central region of Vietnam: a case study in flooding delta regions of Thua Thien Hue province

Abstract

Global climate change poses risks to human and natural systems on a global scale, while Vietnam is considered one of the regions experiencing heavy impacts of climate change. Thus, this study aims to determine the different perceptions, barriers, and driving parameters of local households to adapt to climate change. A total of 350 respondents in local regions were considered for the survey. The Multi-Logis Regression (MLS) model was applied to determine the driving parameters affecting the choice methods. A majority of farm households realized the huge impacts of climate change and actively planned to adapt. The findings also indicated that farm households applied widening solutions (11 methods) to adapt to climate change; importantly, production diversification was reported as the most important solution. While there was still a minor percentage that did not apply, at least a choice (6%). The results from the MLS model indicated that the adaptation process is driven positively and significantly by several factors, including age of the household head, gender of the household head, typology of household, and perception of climate change. Based on the research findings, a number of short- and long-term recommendations were developed to improve the efficiency of climate change adaptation and reduce the negative impacts of climate change at farm level.