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

Dang, Hoa Le; Li, Elton; Nuberg, Ian; Bruwer, Johan

doi:10.1016/j.envsci.2014.04.002

Cited by 217 publications

(160 citation statements)

References 47 publications

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“…(Dang et al, 2014;Masud et al, 2016;dan Redfern et al, 2012). This theory describe three variables such as attitude toward adaptation, subjective norm and perceived behavioral control can influed intention farmers to do something (Ajzen, 1991).…”

Section: Pendahuluanmentioning

confidence: 99%

Farmer’s Intention on Climate Change Adaptation

Renita

Anindita

2017

AGRISE

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Abstract:The purposes of this research is to describe local knowledge of farmer's perception toward climate change and to analyze farmer's intention toward climate change adaptation based on the theory of planned behavior. The sampling method used is simple random sampling with the population is the farmers in the research location. Data was analyzed using descriptive statistics analysis and also structural equation modelingpartial least square (SEM-PLS) for generating information regarding farners behavior toward climate change. The results showed that 57.5 percent of respondents said that the intensity of rainy season and the temperature were changing significantly and 40 percent respodents also agree that the temperature was getting higher. There was 65% of respondents said that the climate change was driven by deforestration or logging. However, there was 17.5% of respondents said that factories have caused the climate change. Impact of climate change cause increasing pests and diseases attacking paddy crops and decreasing significantly of land productivity. For the structural equation modeling, subjective norm and perceived behavior control infuence positively the intention of farmers' adaptation toward climate change.

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Section: Pendahuluanmentioning

confidence: 99%

Farmer’s Intention on Climate Change Adaptation

Renita

Anindita

2017

AGRISE

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“…In addition to the PMT variables, a number of other factors may influence uptake. These include flood experience (Grothmann and Patt 2005, Kreibich et al 2005, Siegrist and Gutscher 2006 as well as social networks such as neighbours or friends having implemented measures (Bubeck et al 2013), or public provision of flood risk adaptation measures inducing moral hazard (Le Dang et al 2014).…”

Section: Protection Motivation Theory and Literature Reviewmentioning

confidence: 99%

“…Several studies have found PMT a suitable framework for exploring flood adaptation behaviour (Grothmann and Reusswig 2006, Zaalberg et al 2009, Bubeck et al 2012b, Bubeck et al 2013, Le Dang et al 2014.…”

Section: Introductionmentioning

confidence: 99%

The impact of flood action groups on the uptake of flood management measures

et al. 2016

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Household flood management measures can significantly reduce the risk from flooding. Understanding the factors that influence the uptake of measures has important implications for the design of measures to induce people to take charge of risk mitigation. We investigate the impact of flood action groups in communities in Scotland on the uptake of four measures: insurance, flood warnings, sandbags and floodgates applying regression analysis using a cross-sectional survey (n = 124). The groups were formed in response to the threat from flooding in those communities, and offer information and training on household flood management measures. We use the theoretical framework of Protection Motivation Theory, and compare uptake of the measures before and after the foundation of the flood action groups, as well as in the near future. The models show positive adoption effects for flood warnings, floodgates and to an extent for insurance, and a positive correlation with increased confidence of implementing and belief in the effectiveness of the measures. The effect is significant if specific information on the measures was provided, indicating the importance of Climatic Change (2016)

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“…In 2016, the percentage of poor households (9.7%) and marginally poor households (5.27%) who receive an average income of less than 1 USD/person/day is declining, but still high when compared globally (MOLISA, 2016). These socio-economic conditions further weaken the adaptive capacities of farmers to recover from, or to proactively shift to, alternative forms of livelihood (IFAD, 2014;Le Dang et al, 2014d).…”

Section: Developing Adaptive Capacity For Smallholder Farmers To Adapmentioning

confidence: 99%

“…Climate change impacts are likely to be severe for coastal smallholder farmers whose livelihoods depend largely on natural conditions (Beckman, 2010). The agricultural sector is considered to be particularly vulnerable to current and future climate risks because of low adaptive capacity of farming communities such as; lack of education and technical skills, poverty, and lack of assets and capital to recover or to shift to alternative livelihoods (Government of Vietnam, 2011;IFAD, 2014;Le Dang et al, 2014d;Oyekale & Ibadan, 2009). …”

Section: Introductionmentioning

confidence: 99%

Developing adaptive capacity in times of climate change in central rural Vietnam: exploring smallholders’ learning and governance

Le¹

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

Cited by 217 publications

References 47 publications

Farmer’s Intention on Climate Change Adaptation

Farmer’s Intention on Climate Change Adaptation

The impact of flood action groups on the uptake of flood management measures

Developing adaptive capacity in times of climate change in central rural Vietnam: exploring smallholders’ learning and governance

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