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 (χ2) 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 χ2 = 92.69, p < 0.000, showing that the independent variables significantly explained the dependent variable. Among the independent variables, farming practice, information communication and technology (ICT) owned, community-based organisation participation, gender, type of household, credit programme participation and education level are significantly important determinants of smallholders’ perception on climate change.

中文翻译：

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越南小农对气候变化原因、指标和决定因素的看法：对适应战略的影响

为了促进小农采用气候变化适应和缓解措施，了解他们对气候变化的看法至关重要。然而，很少有实证研究考虑小农如何看待越南中部的气候变化。本研究调查了越南小农对气候变化的原因和指标以及影响他们在越南中部对其看法的因素的看法。从总共 297 名小农中抽取了 170 名样本，并开发了结构化问卷来收集数据。使用描述性、卡方 (χ2) 和逻辑回归分析。研究结果显示，大多数小农认为城市化 (93.5%)，其次是森林砍伐 (85.3%)、空气污染 (84.4%) 和农业废弃物的未分配处理 (82. 4%）是气候变化的原因。多数小农认为光照过度（91.2%），其次是雨季长度变化（90.6%）、干旱频繁（90%）、温度变化（88.2%）、降雨分布不均（85.9%）、降雨量(84.1%) 和频繁的洪水 (82.9%) 是最受关注的气候变化指标。回归模型总体预测的成功由模型 χ2 = 92.69, p < 0.000 报告，表明自变量显着解释了因变量。在自变量中，农业实践、拥有的信息通信和技术 (ICT)、社区组织参与、性别、家庭类型、信贷计划参与和教育水平是小农对气候变化看法的重要决定因素。