Good or bad? Digitalisation and green preferences
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43110%2F23%3A43923328" target="_blank" >RIV/62156489:43110/23:43923328 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1016/j.eneco.2023.106640" target="_blank" >https://doi.org/10.1016/j.eneco.2023.106640</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.eneco.2023.106640" target="_blank" >10.1016/j.eneco.2023.106640</a>
Alternative languages
Result language
angličtina
Original language name
Good or bad? Digitalisation and green preferences
Original language description
This paper explores the influence of digitalisation on green preferences based on a theoretical approach by extending Busato et al.'s (2022) model. Environmental shocks, environmental status, quality of green digitalised information, and uncertainty avoidance conditions are also taken into account. The main results show that digitalisation can stimulate green preferences in clean environments in the presence of distortive green information. Otherwise, the green preferences are expanded in polluted environments by the digitalising of non-distortive green information. During growth expansion, digitalisation is a good incentive for green preferences in the last stages of the pre-industrial era, propagating distortive information or, in the mature post-industrial era but with non-distortive information. Green preferences can be maximised under environmental shocks but with a specific digitalisation, environmental status, green informational quality, and uncertainty- avoidance context. The policymakers should stimulate green preferences by supporting the digitalisation process with distortive information, especially in clean economies. Otherwise, policy adjustments should be orientated to propagating digitalised green non-distortive information in polluted economies. The model shapes green preferences in the presence of environmental shocks by taking into account the digitalisation process and the quality of green information as a novelty. It also discriminates between clean and polluted environments in different industrial stages.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
50206 - Finance
Result continuities
Project
<a href="/en/project/GA23-07983S" target="_blank" >GA23-07983S: Corporate social behavior and responses to CSR policies, institutions, and economic distress</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Energy Economics
ISSN
0140-9883
e-ISSN
1873-6181
Volume of the periodical
121
Issue of the periodical within the volume
May
Country of publishing house
NL - THE KINGDOM OF THE NETHERLANDS
Number of pages
7
Pages from-to
106640
UT code for WoS article
000971608400001
EID of the result in the Scopus database
2-s2.0-85151462162