Loading…

Vietnamese smallholders’ perspectives on causes, indicators and determinants of climate change: implication for adaptation strategies

In order to facilitate the adoption of climate change adaptation and mitigation practices by smallholders, it is essential to understand their perspectives on climate change. However, few empirical studies have considered how smallholders perceive climate change in Central Vietnam. This research inv...

Full description

Saved in:
Bibliographic Details
Published in:Climatic change 2020-10, Vol.162 (3), p.1127-1142
Main Author: Hoang, Hung Gia
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:In order to facilitate the adoption of climate change adaptation and mitigation practices by smallholders, it is essential to understand their perspectives on climate change. However, few empirical studies have considered how smallholders perceive climate change in Central Vietnam. This research investigates the Vietnamese smallholders’ views on the causes and indicators of climate change and factors that affect their perceptions of it in Central Vietnam. A sample size of 170 was drawn from a total of 297 smallholders and a structured questionnaire was developed to collect data. Descriptive, chi-square (χ 2 ) and logistic regression analyses were used. The research results revealed that most smallholders perceived urbanization (93.5%), followed by deforestation (85.3%), air pollution (84.4%) and unappropriated dealing with agricultural wastes (82.4%) are the causes of climate change. A majority of smallholders perceived that excessive lightening (91.2%), followed by change in rainfall season length (90.6%), frequent droughts (90%), change in temperature (88.2%), uneven rainfall distribution (85.9%), rainfall amount (84.1%) and frequent floods (82.9%) are the most noted indicators of climate change. The success of regression model overall prediction is reported by model χ 2  = 92.69, p  
ISSN:0165-0009
1573-1480
DOI:10.1007/s10584-020-02827-x