Iniguez-Gallardo Verónica, Lenti Boero Daniela, Tzanopoulos Joseph
Manejo y Gestión de Recursos Naturales, Departamento de Ciencias Biológicas, Universidad Técnica Particular de Loja, Loja, Ecuador.
Durrell Institute of Conservation and Ecology, Kent Interdisciplinary Centre for Spatial Studies, University of Kent, Canterbury, United Kingdom.
Front Psychol. 2021 Sep 27;12:644240. doi: 10.3389/fpsyg.2021.644240. eCollection 2021.
Climate change involves multiple emotional expressions associated with specific labels, notably: 'concern,' 'guilt,' or 'scepticism.' However, there are other types of emotions that have been less analysed, such as 'powerlessness,' 'anger' and 'confusion' that are of equal importance for predicting behavioural changes toward this climatic issue. Likewise, few studies in this research field rely on qualitative data to understand and identify the causative agents for the emotional arousal. This research explores a range of emotions, mixing those that have been widely studied and those that have been hardly analysed. It also looks at the demographic parameters associated with such emotions using a population sample from southern Ecuador. The study analyses quantitative and qualitative data gathered through structured-questionnaires whereby participants were given agency to select and define how they themselves sense emotionally climate change. The results indicate that two of the five participants' most selected emotions are shared with other nations ('concern,' 'guilt'), while the other three have been less reported and studied in the climate change field ('powerlessness,' 'anger,' and 'confusion'). These emotions were found to be aroused by different reasons associated with specific demographic variables. The findings reveal the role of the cultural and local environment in the emotional arousal and its relevance for designing more effective climate communication campaigns.
气候变化涉及多种与特定标签相关的情绪表达，尤其是：“担忧”“内疚”或“怀疑”。然而，还有其他一些较少被分析的情绪类型，比如“无力感”“愤怒”和“困惑”，这些情绪对于预测针对这一气候问题的行为变化同样重要。同样，该研究领域中很少有研究依靠定性数据来理解和确定引起情绪激发的因素。本研究探讨了一系列情绪，既有被广泛研究的，也有几乎未被分析的。它还利用来自厄瓜多尔南部的人口样本，研究了与这些情绪相关的人口统计学参数。该研究分析了通过结构化问卷收集的定量和定性数据，参与者有权选择并界定他们自身对气候变化的情绪感受。结果表明，五名参与者选择最多的情绪中有两种与其他国家相同（“担忧”“内疚”），而另外三种在气候变化领域的报道和研究较少（“无力感”“愤怒”和“困惑”）。研究发现这些情绪是由与特定人口统计学变量相关的不同原因引起的。研究结果揭示了文化和当地环境在情绪激发中的作用及其对设计更有效的气候传播活动的相关性。
