Understanding farmers' adaptation intention to climate change: A structural equation modelling study in the Mekong Delta, Vietnam

被引:197
作者
Hoa Le Dang [1 ,2 ]
Li, Elton [1 ]
Nuberg, Ian [1 ]
Bruwer, Johan [3 ,4 ]
机构
[1] Univ Adelaide, Sch Agr Food & Wine, Adelaide, SA 5064, Australia
[2] Nong Lam Univ, Fac Econ, Linh Trung Ward, Ho Chi Minh City, Vietnam
[3] Univ S Australia, Sch Mkt, Adelaide, SA 5001, Australia
[4] Charles Sturt Univ, Sch Psychol, Bathurst, NSW 2678, Australia
关键词
Adaptation intention; Climate change; Farmers; Protection motivation theory; Structural equation modelling; Vietnam; PROTECTION MOTIVATION THEORY; FEAR APPEALS; AGRICULTURAL ADAPTATION; ADAPTIVE CAPACITY; VARIABILITY; PERCEPTIONS; STRATEGIES; PREDICTION; EFFICACY; BEHAVIOR;
D O I
10.1016/j.envsci.2014.04.002
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Socio-economic factors and resource availability are commonly shown to influence the adaptation intention and behaviour of farmers in response to climate change. This study additionally incorporates psychological factors building on protection motivation theory to investigate the adaptation intention of farmers. Data was obtained from structured interviews with 598 rice farmers in the Mekong Delta, Vietnam. Structural equation modelling was used for investigating the relationships between constructs. The findings indicate that farmers are more likely to have an adaptation intention when they perceive higher risks of climate change and greater effectiveness of adaptive measures. In contrast, they are less likely to intend to adapt when they are subject to wishful thinking, denials of climate change risk, and fatalism. Adaptation intention increases when farmers perceive greater influences of the increases in electricity, water, and fuel prices; or when they are under pressure from other people to conduct adaptive measures. The study demonstrates that protection motivation theory is a useful framework to understand the adaptation intention and behaviour of farmers in response to climate change. However, further research is necessary to improve and generalise the measurement model. (C) 2014 Elsevier Ltd. All rights reserved.
引用
收藏
页码:11 / 22
页数:12
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