Cassava farmers’ perception on climate change: A case study in Van Yen district, Yen Bai province

Situated in the Northern Mountain Region, one of the most climatevulnerable regions of Vietnam, Yen Bai province is exposed to many

climate risks. This study investigated how well Yen Bai farmers were

aware of the impacts of the changing climate on production and their

livelihoods and how they referred support programs from the central

and local governments to make decisions on adaptation and resilience

strategies. Data were collected through direct interviews of 488 cassava

households in six communes of Van Yen district. Descriptive statistics,

One-way ANOVA, and Chi-square test were used to statistically analyze

the data. In addition, we employed the Partial Least Square Structural

Equation Modelling (PLS-SEM) to study the relationships of three

identified independent variables: (i) understanding of support

programs/policies; (ii) access to weather information; and (iii)

experience of climate risks and impacts, and farmers’ perceptions of

climate impacts. Results from the PLS-SEM model showed that

farmers with higher positive scores in the three independent variables

above had better perceptions of climate change and its possible

impacts, from which better adaptation decisions and strategies could

be derived. These research findings emphasized the need for

improving the understanding of climate change that could impact

farmers’ livelihoods, farmers’ access to accurate near-time and

medium-term weather forecasts, and thoroughly using local

knowledge on climate risks and effective native adaptation measures

for better adaptation and mitigation strategies and actions in rural

climate-vulnerable communities in Vietnam.

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Cassava farmers’ perception on climate change: A case study in Van Yen district, Yen Bai province
ther 
information providers and multiple 
communication channels, this situation might 
create a complex and dynamic information 
environment. 
Farmers’ experiences encountering extreme 
weather events 
Van Yen has a high level of vulnerability to 
climate risks, mainly hot spells, acid rain, 
drought, and cold spells. They have been greatly 
affecting socio-economic activities and human 
safety there (Bui et al., 2020). 
Figure 4 lists some impacts of climate 
phenomena in the study area. A larger number of 
farmers (84.43%) pointed out that hot spells had 
Cassava farmers’ perception on climate changes: A case study in Van Yen district, Yen Bai province 
708 Vietnam Journal of Agricultural Sciences 
Figure 5. Significant pathways in the structural equation model 
serious impacts on theire livelihood. Two 
farmers stated that “In summer 2019, many trees 
died due to temperatures reaching 40°C’ (male, 
45); ‘heat has an effect on livestock, as buffalos 
do not want to graze and spend time in the 
shade’. Approximately 60% of the surveyed 
households responded that droughts were having 
negative effects on agricultural systems, lives, 
and livelihoods alike. The following quotes 
illustrate some of the famers’ responses “In the 
first quarter of 2019, a period when plants 
needed a lot of water to grow, I could not irrigate 
due to lack of rain” (male, 55); “rice seedlings 
had withered due to drought” (female, 43); ‘it 
was hard for me to irrigate proactively as there 
was no rain at all in early 2019’ (female, 35). 
More than 80% of the interviewees reported that 
acid rain had a weaker influence on their 
livelihoods. Some said acid rains had negative 
impacts on production, such as changed leaf 
color of grapefruit and oranges, finally 
destroying the harvests. 
Structure equation model 
SEM results (Figure 5) show that the model 
is compatible with data research and conceptual 
framework. Overall, weather-related information 
had the largest influence on farmers' perception 
of climate change (β = 0.277, P< 0.05). That is, 
the more weather forecast information they 
received, the more they perceived about climate 
change. This result is in line with a previous 
finding (Bloodhart et al., 2015). Moreover, 
whether farmers perceived climate phenomena 
impacts and whether they were aware of 
government implementations about climate 
change adaptation positively influenced farmers’ 
perception of climate change (β = 0.268, P< 0.05; 
and β = 0.119, P< 0.05, respectively). These 
findings correlate fairly well with those of Van 
der Linden (2014) and Myers et al. (2013). 
Household wealth rank had a larger direct effect 
on farmers’ understanding of policies related to 
climate change mitigation and adaptation (β = 
0.223, P< 0.05) than farmers’ perception of 
Nguyen Hai Nui et al. (2020) 
https://vjas.vnua.edu.vn/ 709 
climate change (β = 0.119, P< 0.05). This finding 
indicates that well-off farmers had a better 
understanding of climate change and government 
supports to tackle climate change. 
Conclusions 
The results of this study showed that cassava 
farmers, in general, perceived climate change’s 
existence and its impacts. Among the three 
independent variables, accessibility to weather 
information had the greatest influence on 
farmers’ perceptions (marginal value = 0.277), 
followed by farmers’ experience of extreme 
weather events (0.268) and their knowledge of 
supporting programs/policies/projects (0.119). 
Understanding these relationships is important 
for future relevant research. 
Farmers received climate information quite 
often. However, only a few of them were aware 
of adaptation plans at the district level. They also 
needed accurate weather information for farming 
activities while many were not satisfied with the 
quality of weather information they received on 
the daily basis. Based on this, we recommend 
that weather forecasts should be downscaled to 
be more location-specific. 
The research findings also suggested the 
investigation of farmers’ perceptions of climate 
change and climate impacts prior to conducting 
priority setting for adaptation and mitigation 
measures to enhance adaptive capacity and 
resilience of farmers in climate-vulnerable regions 
in New Rural Development’s 2021-2030 Strategy. 
Acknowledgements 
This study was jointly funded by: 
The Climate Change, Agriculture and Food 
Security (CCAFS) for Southeast Asia through 
the C-2019-148 research project “Impact 
assessment of a local seventeen-year initiative on 
conservation agriculture on sloping cassava 
plantations, as a climate-smart agricultural 
(CSA) practice, in Van Yen district of Yen Bai 
province”. 
Vietnam’s Ministry of Agriculture and Rural 
Development through the research project 
“Scaling climate-smart villages in Yen Bai 
province to promote implementation of climate-
smart agriculture and One Commune One 
Product (OCOP) initiative of the National Target 
Program on New Rural Development”. 
The Irish Aid under the Embassy of Ireland 
in Hanoi through the VIBE 2018.05 project “NUI 
Galway – Vietnam National University of 
Agriculture (VNUA) Vietnam Ireland Bilateral 
Education Exchange (VIBE) Programme on 
Climate Resilient Agriculture and 
Environmentally Sustainable Landscapes”. 
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