Standard

GEM: A short “growth-vs-environment” module for survey research. / Savin, Ivan; Drews, Stefan; van den Bergh, Jeroen.
в: Ecological Economics, Том 187, 107092, 09.2021.

Результаты исследований: Вклад в журнал › Статья › Рецензирование

Harvard

Savin, I, Drews, S & van den Bergh, J 2021, 'GEM: A short “growth-vs-environment” module for survey research', Ecological Economics, Том. 187, 107092. https://doi.org/10.1016/j.ecolecon.2021.107092

APA

Savin, I., Drews, S., & van den Bergh, J. (2021). GEM: A short “growth-vs-environment” module for survey research. Ecological Economics, 187, [107092]. https://doi.org/10.1016/j.ecolecon.2021.107092

Vancouver

Savin I, Drews S, van den Bergh J. GEM: A short “growth-vs-environment” module for survey research. Ecological Economics. 2021 сент.;187:107092. doi: 10.1016/j.ecolecon.2021.107092

Author

Savin, Ivan ; Drews, Stefan ; van den Bergh, Jeroen. / GEM: A short “growth-vs-environment” module for survey research. в: Ecological Economics. 2021 ; Том 187.

BibTeX

@article{e0662fe8bade4f63a03523a86575c5a3,
title = "GEM: A short “growth-vs-environment” module for survey research",
keywords = "Agrowth, Degrowth, Green growth, Machine learning, Public opinion, DEGROWTH, CLIMATE-CHANGE, AUDIENCE SEGMENTATION, ECONOMIC-GROWTH, OPINION",
author = "Ivan Savin and Stefan Drews and {van den Bergh}, Jeroen",
note = "Funding Information: This work was funded by 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 ]. I.S. acknowledges financial support from the Russian Science Foundation [RSF grant number 19-18-00262 ]. Publisher Copyright: {\textcopyright} 2021 The Authors Copyright: Copyright 2021 Elsevier B.V., All rights reserved.",
year = "2021",
month = sep,
doi = "10.1016/j.ecolecon.2021.107092",
language = "English",
volume = "187",
journal = "Ecological Economics",
issn = "0921-8009",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - GEM: A short “growth-vs-environment” module for survey research

AU - Savin, Ivan

AU - Drews, Stefan

AU - van den Bergh, Jeroen

N1 - Funding Information: This work was funded by 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 ]. I.S. acknowledges financial support from the Russian Science Foundation [RSF grant number 19-18-00262 ]. Publisher Copyright: © 2021 The Authors Copyright: Copyright 2021 Elsevier B.V., All rights reserved.

PY - 2021/9

Y1 - 2021/9

KW - Agrowth

KW - Degrowth

KW - Green growth

KW - Machine learning

KW - Public opinion

KW - DEGROWTH

KW - CLIMATE-CHANGE

KW - AUDIENCE SEGMENTATION

KW - ECONOMIC-GROWTH

KW - OPINION

UR - http://www.scopus.com/inward/record.url?scp=85106283258&partnerID=8YFLogxK

UR - https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=tsmetrics&SrcApp=tsm_test&DestApp=WOS_CPL&DestLinkType=FullRecord&KeyUT=000662664900017

UR - https://elibrary.ru/item.asp?id=46094375

U2 - 10.1016/j.ecolecon.2021.107092

DO - 10.1016/j.ecolecon.2021.107092

M3 - Article

AN - SCOPUS:85106283258

VL - 187

JO - Ecological Economics

JF - Ecological Economics

SN - 0921-8009

M1 - 107092

ER -

ID: 22099627