Please use this identifier to cite or link to this item: http://elar.urfu.ru/handle/10995/131602
Title: Free associations of citizens and scientists with economic and green growth: A computational-linguistics analysis
Authors: Savin, I.
Drews, S.
van, den, Bergh, J.
Issue Date: 2022
Publisher: Elsevier B.V.
Citation: 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
Abstract: 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.
Keywords: 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
URI: http://elar.urfu.ru/handle/10995/131602
Access: info:eu-repo/semantics/openAccess
RSCI ID: 45197186
SCOPUS ID: 85093951779
WOS ID: 000596869900010
PURE ID: 14122361
bfac9720-767e-4cb9-9476-46a1f4087841
ISSN: 0921-8009
DOI: 10.1016/j.ecolecon.2020.106878
metadata.dc.description.sponsorship: 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 ].
RSCF project card: 19-18-00262
Appears in Collections:Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC

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