Investigation of conceptual networks related to climate change among inhabitants: A case study in Eastern Hungarian settlements with word association method

IF 0.3 4区 社会学 Q4 SOCIOLOGY Eastern European Countryside Pub Date : 2021-12-01 DOI:10.12775/eec.2021.006
Emőke Kiss, I. Fazekas, Dániel Balla
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Abstract

Abstract In this study, the word association method was applied in relation to municipalities in Eastern Hungary (Hajdú-Bihar county), where the Sustainable Energy and Climate Action Plan (SECAP) already exists, and where the SECAP has not yet been introduced. In addition to the six municipalities examined, Debrecen, a county seat with the SECAP, was also included in the survey. The aim was to explore the conceptual networks related to climate change and the strength of the relationship between the stimulus word and the associated concepts. The associations representing a common meaning were categorised. The results show that the distribution of conceptual networks and that of categories related to climate change exhibit a similar picture in the group of municipalities with (3 villages) and without the SECAP (3 villages), although significant differences were found when the settlements were examined separately (7 municipalities). Studying the distribution of categories by demographic groups, it was found that educational attainment determines, to the greatest extent, the answers.
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居民中与气候变化相关的概念网络调查:用词联想法在东匈牙利定居点的案例研究
在本研究中,单词关联方法应用于匈牙利东部(Hajdú-Bihar县)的市政当局,其中可持续能源和气候行动计划(SECAP)已经存在,并且SECAP尚未引入。除了调查的六个城市外,SECAP的一个县城德布勒森也在调查之列。目的是探索与气候变化相关的概念网络,以及刺激词与相关概念之间关系的强度。代表一个共同含义的关联被分类。结果表明,在有(3个村庄)和没有SECAP(3个村庄)的城市群体中,概念网络的分布和与气候变化相关的类别的分布表现出相似的图景,尽管在单独考察住区(7个城市)时发现了显著差异。研究按人口群体分类的分布,发现受教育程度在很大程度上决定了答案。
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