Evidence map›Paper›PMID 37817977›Full record

ArticleMethodsX2023

Unravelling the dynamics of human development and economic growth on crude oil production based on ARDL and NARDL models.

Jean Marie Stevy Sama, Flavian Emmanuel Sapnken, Inoussah Moungnutou Mfetoum, Jean Gaston Tamba

Open access · goldAbstract read
In one paragraph

Article in MethodsX, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
2.9field-weighted citation impact, top 7% 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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. 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

4 authors at 1 institution in 1 country.

Jean Marie Stevy SamaLaboratory of Technologies and Applied Science, IUT Douala, PO Box 8698, Douala, Cameroon.
Flavian Emmanuel SapnkenLaboratory of Technologies and Applied Science, IUT Douala, PO Box 8698, Douala, Cameroon.
Inoussah Moungnutou MfetoumLaboratory of Technologies and Applied Science, IUT Douala, PO Box 8698, Douala, Cameroon.
Jean Gaston TambaLaboratory of Technologies and Applied Science, IUT Douala, PO Box 8698, Douala, Cameroon.
University of Douala · CM

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper estimates and establishes the causality between the Human Development Index (HDI), Gross Domestic Product (GDP), inflation and CO2 emissions on crude oil production (COP) in Cameroon from 1977 to 2019. To do so, the Augmented Dicky-Fuller and Zivot-Andrews stationarity tests, ARDL and NARDL modelling, as well as Toda-Yamamoto causality test are performed. Unlike previous studies on COP, this study incorporates the asymmetric impact (NARDL). The results indicate that CO2 emissions and GDP have a negative impact on COP in the long-run, while HDI and inflation have a positive impact in the short-run. GDP and HDI have a non-linear impact in the short run, while in the long-run inflation and CO2 emissions have a non-linear impact on COP. From these results, it is interesting to note that, in order to allow future generations to benefit from the oil windfall. The diversification of the Cameroonian economy, the control of inflation and the use of less polluting crude oil extraction technologies must be imperative.•A step-by-step procedure of the ARDL, NARDL and causality test is provided.•The multiplier effects of GDP, HDI, inflation and CO2 emissions on COP are simulated.•The impact of GDP and HDI on COP is non-linear.

Indexed as

ARDLCameroonCausalityCrude oilDynamics of ARDL, NARDL and the multiplier effectNARDL

Identifiers

PMID37817977
PMCPMC10560833
OpenAlexW4387095141

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.