Evidence map›Paper›PMID 36497563›Full record

ArticleInternational journal of environmental research and public health2022

The Sustainability Narrative: A Multi Study Using Event Studies to Analyse the American Energy Companies Shareholder's Reaction to Sustainability News.

Alberto Barroso Del Toro, Laura Vivas Crisol, Xavier Tort-Martorell

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Alberto Barroso Del ToroDepartment of Statistic and Operation Research, Universitat Politecnica de Catalunya, Jordi de Girona 31, 08034 Barcelona, Spain.ORCID 0000-0003-3875-226X
Laura Vivas CrisolIndependent Researcher, 221 85 Lund, Sweden.
Xavier Tort-MartorellDepartment of Statistic and Operation Research, Universitat Politecnica de Catalunya, Jordi de Girona 31, 08034 Barcelona, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study investigates how shareholders of leading US energy companies value sustainability narratives. Leveraging the Global Database of Events (GDELT) from 2017 to 2019, 207,386 news items were extracted, 4101 event studies were performed, 3393 cumulative average abnormal returns (CAAR) were analysed, and 708 Abnormal volatilities (AV) were analysed. The magnitude of the analysis and further segmentation of the viral news by tone, type of energy, and environmental consequence help us to understand shareholders' investment decisions and narrative. We proved that the sustainability narrative has a significant impact on shareholder value. There is a clear negative bias on sustainability news, impacting negatively on the market. More importantly, we've identified positive news about fossil fuels impacting the market more than positive renewable energy news. These results provide empirical evidence for the case of greenwashing in businesses. There must be a common shareholder's narrative to penalise and reduce incentives for highly polluting investments to push forward an effective ecological transition. These results provide an objective for regulators to develop further regulations and incentives to fight against false sustainability news.

Indexed as

CommerceInvestmentsUnited Statesevent studyfinancial marketsGDELTgreenwashingsustainability newsUnited States

Identifiers

PMID36497563
PMCPMC9737676

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.