Evidence map›Paper›PMID 35002001›Full record

ArticleAnnals of operations research2022

Past, present, and future of sustainable finance: insights from big data analytics through machine learning of scholarly research.

Satish Kumar, Dipasha Sharma, Sandeep Rao, Weng Marc Lim, Sachin Kumar Mangla

Abstract read
In one paragraph

Article in Annals of operations research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
–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

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Intraocular lens power calculation formulas: a scientometric analysis.Medical hypothesis, discovery & innovation ophthalmology journal · 2023
    Article
  9. Digital Finance and Green Development: Characteristics, Mechanisms, and Empirical Evidences.International journal of environmental research and public health · 2022
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
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

5 authors.

Satish KumarDepartment of Management Studies, Malaviya National Institute of Technology Jaipur, Jaipur, Rajasthan 302017 India.
Dipasha SharmaSymbiosis Centre for Management and Human Resource Development, Symbiosis International (Deemed University), Pune, India.
Sandeep RaoDCU Business School, Dublin City University, Dublin 09, Ireland.
Weng Marc LimSchool of Business, Swinburne University of Technology, Jalan Simpang Tiga, 93350 Kuching, Sarawak Malaysia.
Sachin Kumar ManglaJindal Global Business School, O P Jindal Global University, Sonipat, Haryana India.ORCID 0000-0001-7166-5315

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sustainable finance is a rich field of research. Yet, existing reviews remain limited due to the piecemeal insights offered through a sub-set rather than the entire corpus of sustainable finance. To address this gap, this study aims to conduct a large-scale review that would provide a state-of-the-art overview of the performance and intellectual structure of sustainable finance. To do so, this study engages in a review of sustainable finance research using big data analytics through machine learning of scholarly research. In doing so, this study unpacks the most influential articles and top contributing journals, authors, institutions, and countries, as well as the methodological choices and research contexts for sustainable finance research. In addition, this study reveals insights into seven major themes of sustainable finance research, namely socially responsible investing, climate financing, green financing, impact investing, carbon financing, energy financing, and governance of sustainable financing and investing. To drive the field forward, this study proposes several suggestions for future sustainable finance research, which include developing and diffusing innovative sustainable financing instruments, magnifying and managing the profitability and returns of sustainable financing, making sustainable finance more sustainable, devising and unifying policies and frameworks for sustainable finance, tackling greenwashing of corporate sustainability reporting in sustainable finance, shining behavioral finance on sustainable finance, and leveraging the power of new-age technologies such as artificial intelligence, blockchain, internet of things, and machine learning for sustainable finance.

Indexed as

Bibliometric analysisBig data analyticsCarbon financingClimate financingEnergy financingGovernanceGreen financingImpact investingMachine learningSocially responsible investingSustainable development goalsSustainable financeSystematic literature review

Identifiers

PMID35002001
PMCPMC8723819

What OpenQuestion holds

Textmetadata
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.