Free associations of citizens and scientists with economic and green growth: A computational-linguistics analysis
Электронный научный архив УРФУ
Информация об архиве | Просмотр оригинала| Поле | Значение | |
| Заглавие |
Free associations of citizens and scientists with economic and green growth: A computational-linguistics analysis
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| Автор |
Savin, I.
Drews, S. van, den, Bergh, J. |
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| Тематика |
GREEN GROWTH
GROWTH-VS-ENVIRONMENT DEBATE PUBLIC OPINION SCIENTIFIC OPINION STRUCTURAL TOPIC MODELLING ACADEMIC RESEARCH CITIZENSHIP COMPUTER AIDED DESIGN ECONOMIC GROWTH ENVIRONMENTAL ISSUE EQUITY GLOBAL PERSPECTIVE GREEN ECONOMY LANGUAGE SCIENCE AND TECHNOLOGY SUSTAINABILITY UNEMPLOYMENT |
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| Описание |
The debate about the relationship between economic growth and environmental sustainability triggers a range of associations. Here we analyze open-ended textual responses of citizens and scientists concerning their associations with the terms “economic growth” and “green growth”. We derive from the responses a number of topics and examine how associations differ across distinct opinion segments of people, namely supporters of Green growth, Agrowth and Degrowth. The results indicate that the general public is more critical of the notion of economic growth than academic researchers. Citizens stress problems of corruption, social inequality, unemployment and poverty, with less variation among the three opinion segments compared to scientists. The latter more strongly emphasize the environmental consequences of economic growth. Concerning associations of scientists with the term “green growth”, we find topics questioning its feasibility to be more likely expressed by Degrowth supporters, while topics stressing the possibility of sustainable economic growth by Green growth supporters. We find that topic polarization is stronger for scientists than citizens. Our results provide further validation for opinion clusters identified in previous studies and uncover additional insights about related views on growth and sustainability. © 2020 Elsevier B.V.
Horizon 2020 Framework Programme, H2020 European Research Council, ERC Russian Science Foundation, RSF, (19-18-00262) Horizon 2020, (741087) This study has received funding through an ERC Advanced Grant from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement n° 741087 ). Ivan Savin acknowledges financial support from the Russian Science Foundation [RSF grant number 19-18-00262 ]. |
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| Дата |
2024-04-08T11:08:15Z
2024-04-08T11:08:15Z 2022 |
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| Тип |
Article
Journal article (info:eu-repo/semantics/article) Published version (info:eu-repo/semantics/publishedVersion) |
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| Идентификатор |
Savin, I, Drews, S & van den Bergh, J 2021, 'Free associations of citizens and scientists with economic and green growth: A computational-linguistics analysis', Ecological Economics, Том. 180, 106878. https://doi.org/10.1016/j.ecolecon.2020.106878
Savin, I., Drews, S., & van den Bergh, J. (2021). Free associations of citizens and scientists with economic and green growth: A computational-linguistics analysis. Ecological Economics, 180, [106878]. https://doi.org/10.1016/j.ecolecon.2020.106878 0921-8009 Final All Open Access; Green Open Access https://research.vu.nl/files/233635908/Free_associations_of_citizens_and_scientists_with_economic_and_green_growth.pdf https://research.vu.nl/files/233635908/Free_associations_of_citizens_and_scientists_with_economic_and_green_growth.pdf http://elar.urfu.ru/handle/10995/131602 45197186 10.1016/j.ecolecon.2020.106878 85093951779 000596869900010 |
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| Язык |
en
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| Связанные ресурсы |
info:eu-repo/grantAgreement/RSF//19-18-00262
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| Права |
Open access (info:eu-repo/semantics/openAccess)
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| Формат |
application/pdf
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| Издатель |
Elsevier B.V.
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| Источник |
Ecological Economics
Ecological Economics |
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