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Record W4416247917 · doi:10.1002/sd.70370

Environmental, Social, and Governance ( <scp>ESG</scp> ) Research: A Systematic Review of Recent Trends (2020–2024)

2025· article· en· W4416247917 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueSustainable Development · 2025
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Social Responsibility Reporting
Canadian institutionsnot available
Fundersnot available
KeywordsSustainabilityDirectiveCorporate governanceScale (ratio)Inclusion (mineral)Sustainability reportingQuality (philosophy)Systematic review

Abstract

fetched live from OpenAlex

ABSTRACT The 2020–2024 period marks a pivotal era in sustainable development, characterized by significant regulatory developments, including the EU Corporate Sustainability Reporting Directive (CSRD), the International Sustainability Standards Board standards, and the introduction of mandatory ESG reporting requirements worldwide. This review examines how recent policy changes have reshaped the linkages between ESG and sustainability. Following the PRISMA 2020 guidelines, we conducted a systematic review examining empirical studies of ESG–sustainability performance relationships published between 2020 and 2024. Studies examined the quantitative relationships between ESG sustainability performance and publicly traded corporations. Quality assessment employed the adapted Newcastle–Ottawa Scale with sustainability‐specific criteria. From 2847 screened records, 89 quantitative studies covering 126,000 firms in 67 countries met the inclusion criteria. Overall, 56% reported positive ESG–performance links, 38% mixed/neutral, and 6% negative. Asia‐Pacific showed the strongest positive share (67%), followed by multiregional (61%), Europe (56%), and North America (40%). Manufacturing (74%) and financial services (70%) outperformed technology (33%). This systematic review demonstrates strengthened positive associations and reveals Asia‐Pacific's emergence as a regional leader, providing timely evidence for environmental managers and policymakers navigating post‐2020 regulatory frameworks.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.843
Threshold uncertainty score0.935

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.036
GPT teacher head0.300
Teacher spread0.264 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it