Evidence map›Paper›PMID 37809467›Full record

ArticleHeliyon2023

The influence of agricultural policy on carbon emissions in selected OECD countries.

Fortune Ganda

Abstract read
In one paragraph

Article 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
–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

1 author.

Fortune GandaFaculty of Management Sciences, Department of Accounting, Walter Sisulu University, Butterworth Campus, Private Bag X3182, Butterworth, 4980, South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Global agriculture is actively impacted by policies which affect the composition and location of produce and the production methods. This paper examines how agricultural policy affects carbon emissons in 27 OECD countries over the period 2000 to 2020. This research deploys the Generalised Methods of Moments (GMM) and Pooled Mean Group (PMG) to analyse panel data. The study findings demonstrate that the indicators of agricultural policy (agricultural financial support and producer protection ratio) predominantly display a significantly positive relationship with emissions in the short term. Still, that link is mostly significantly negative in the long run. As such, agricultural policy is a driver of emissions in the short run, which is in line with the extended STIRPAT model, although in the long run, the variable seizes to be a driver. Economic growth, transport services and human capital support that their association is positively significant in the short run, chiefly negative and significant in the long run. There is overwhelming evidence that renewable energy is negatively and significantly associated with emissions in both periods. This research analysis is imperative to create vital cornerstones towards a complete understanding of the effects of agricultural policy on developing green economies.

Indexed as

Agricultural financial supportAgricultural policyCarbon emissionsProducer protection ratio

Identifiers

PMID37809467
PMCPMC10559284

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.