Evidence map›Paper›PMID 37809568›Full record

ReviewHeliyon2023

A systematic review of emerging environmental markets: Potential pathways to creating shared value for communities.

Vivekananda M Byrareddy, Md Aminul Islam, Thong Nguyen-Huy, Geoff Slaughter

Open access · goldAbstract readReview
In one paragraph

Review in Heliyon, 2023. 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
3.4field-weighted citation impact, top 8% of its field
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, 15 citations in OpenAlex.

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

4 authors at 1 institution in 1 country.

Vivekananda M ByrareddySouthern Queensland and Northern New South Wales Drought Resilience Adoption and Innovation Hub, Future Drought Fund (Research), Institute for Life Sciences and the Environment, Institute for Resilient Regions, University of Southern Queensland, Toowoomba, Queensland, 4350, Australia.
Md Aminul IslamSouthern Queensland and Northern New South Wales Drought Resilience Adoption and Innovation Hub, Future Drought Fund (Research), Institute for Life Sciences and the Environment, Institute for Resilient Regions, University of Southern Queensland, Toowoomba, Queensland, 4350, Australia.
Thong Nguyen-HuyCentre for Applied Climate Sciences, University of Southern Queensland, Toowoomba, Queensland, 4350, Australia.
Geoff SlaughterSouthern Queensland and Northern New South Wales Drought Resilience Adoption and Innovation Hub, Future Drought Fund (Research), Institute for Life Sciences and the Environment, Institute for Resilient Regions, University of Southern Queensland, Toowoomba, Queensland, 4350, Australia.
University of Southern Queensland · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The emerging environmental markets have been adopted by various sectors and industries worldwide, with regulations being implemented to make it compulsory to protect against environmental degradation through emission reduction. Thus, understanding the framework of environmental markets and their implications in mitigating climate change and addressing challenges is crucial. Following the updated PRISMA guidelines, a systematic review was conducted to provide important insights into environmental labels and their values in reducing greenhouse gas emissions. Their potential for investments in emerging business opportunities was also explored. The literature search was limited to the past 20 years and focused on peer-reviewed journal articles in the agricultural sector, using databases such as CAB Abstract, Business Sources Ultimate, Scopus, and ProQuest between March and May 2022. It is worth noting that this study did not use other popular databases (e.g. Web of Science), which might result in the omission of some relevant studies in the environmental market domain, potentially introducing some imprecisions to the findings. Based on the inclusion and exclusion criteria, 51 articles were finally selected for the study. Thematic content analysis was conducted using Nvivo software, and the results were synthesized and presented in different themes. The findings indicate that carbon, environmental, and eco-labels are among the seven identified labels, wherein environmental and carbon markets, among the four identified markets, were found in new emerging and popular markets in most countries. There has been substantial growth in the value of environmental goods and services due to increasing demand from different stakeholders seeking environmental protection, as mandated by regulations. Overall, consumers have a positive response to the willingness to pay (WTP) premium prices, particularly for environmentally friendly labels and products (eco-label and environmental labels) than conventional ones (carbon and organic labels). Further, there is huge potential for investments in the newly emerging environmental markets, e.g., the carbon market through carbon/greenhouse gas emission reduction and carbon offset/credit market by soil carbon sequestration and carbon neutral products. This study contributes to the understanding of the market structure, the main drivers influencing new environmental markets, its advantages, and co-benefits for the various stakeholders in the value chain. Overall, the adoption of environmental strategies and practices can contribute to the socio-economic and environmental benefits, as well as lead to environment-friendly sustainable production.

Indexed as

Carbon tradingCreditEnvironmental marketsOffsetStandard certificateSustainable labels

Identifiers

PMID37809568
PMCPMC10559073
OpenAlexW4386365506

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.