<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>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.</p>
</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.

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

Department of Landscape Protection and Environmental Geography

Department of Data Science and Visualization

Eastern European Countryside

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

In this study, the word association method was applied in relation to municipalities in Eastern Hungary (Hajdú-Bihar county), where the Sustainable Energy and...

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

Online veröffentlicht: 30. Dez. 2021

Seitenbereich: 147 - 178

DOI: https://doi.org/10.12775/eec.2021.006

Schlüsselwörter
climate change, questionnaire survey, conceptual network, word associations, SECAP, Hajdú-Bihar County, demography, educational level

© 2021 Emőke Kiss et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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

Online veröffentlicht: 30. Dez. 2021

Seitenbereich: 147 - 178

DOI: https://doi.org/10.12775/eec.2021.006

Schlüsselwörterclimate change, questionnaire survey, conceptual network, word associations, SECAP, Hajdú-Bihar County, demography, educational level

© 2021 Emőke Kiss et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Schlüsselwörter
climate change, questionnaire survey, conceptual network, word associations, SECAP, Hajdú-Bihar County, demography, educational level