Evidence map›Paper›PMID 33603519›Full record

ArticleRisk management and healthcare policy2021

Exploring Asymmetric Nexus Between CO

Muhammad Zeeshan, Jiabin Han, Alam Rehman, Irfan Ullah, Fakhr E Alam Afridi

Abstract read
In one paragraph

Article in Risk management and healthcare policy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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.

Muhammad ZeeshanCollege of Business Administration, Liaoning Technical University, Xingcheng, Liaoning Province, 125105, People's Republic of China.
Jiabin HanCollege of Business Administration, Liaoning Technical University, Xingcheng, Liaoning Province, 125105, People's Republic of China.
Alam RehmanFaculty of Management Sciences, National University of Modern Languages, Islamabad, Pakistan.
Irfan UllahReading Academy, Nanjing University of Information Science and Technology, Nanjing, People's Republic of China.
Fakhr E Alam AfridiIslamia College Peshawar, Peshawar, Pakistan.ORCID 0000-0001-9776-5074

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study investigates the nexus between household health expenditure, CO

methodsThis study adopted nonlinear autoregressive distributed lag (NARDL) and Granger causality following the diagnostic test. Furthermore, we applied Dickey-Fuller (ADF), PP unit root tests, Zivot and Andrews test for structural breaks in our analysis. The NARDL is the most suitable econometric technique for estimations, especially if the asymmetric relationship exists among the variables. NARDL technique is capable to explore the dynamic relationship between CO

resultsThe empirical results verify the asymmetric nexus between CO

conclusionOur results support many previous studies, documenting that CO

Indexed as

ChinaCO2 emissionsenvironmental pollutionhousehold health expenditure

Identifiers

PMID33603519
PMCPMC7886294

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.