Evidence map›Paper›PMID 37228064›Full record

ArticlePloS one2023

An autoregressive distributed lag approach for estimating the nexus between CO2 emissions and economic determinants in Pakistan.

Muhammad Daniyal, Kassim Tawiah, Moiz Qureshi, Mohammad Haseeb, Killian Asampana Asosega, Mustafa Kamal, Masood Ur Rehman

Open access · goldAbstract read
In one paragraph

Article in PloS one, 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
6.3field-weighted citation impact, top 4% 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, 11 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

7 authors at 5 institutions in 4 countries.

Muhammad DaniyalDepartment of Statistics, The Islamia University of Bahawlapur, Bahawlapur, Pakistan.ORCID 0000-0002-1415-4970
Kassim TawiahDepartment of Mathematics and Statistics, University of Energy and Natural Resources, Sunyani, Ghana.ORCID 0000-0003-0195-225X
Moiz QureshiDepartment of Statistics, Shaheed Benazir Bhutto University, Shaheed Benazirabad Nawabsha, Pakistan.ORCID 0000-0003-4993-9433
Mohammad HaseebChina Institute of Development Strategy and Planning, and Centre for Industrial Economics, Wuhan University, Wuhan, China.
Killian Asampana AsosegaDepartment of Mathematics and Statistics, University of Energy and Natural Resources, Sunyani, Ghana.
Mustafa KamalDepartment of Basic Sciences, Saudi Electronic University, Dammam, Saudi Arabia.
Masood Ur RehmanDepartment of Information Technology, Saudi Electronic University, Dammam, Saudi Arabia.
Kwame Nkrumah University of Science and Technology · GHSaudi Electronic University · SAIslamia University of Bahawalpur · PKShaheed Benazir Bhutto University · PKWuhan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Carbon dioxide (CO2) emissions have become a critical aspect of the economic and sustainable development indicators of every country. In Pakistan, where there is a substantial increase in the population, industrialization, and demand for electricity production from different resources, the fear of an increase in CO2 emissions cannot be ignored. This study explores the link that betwixt CO2 emissions with different significant economic indicators in Pakistan from 1960 to 2018 using the autoregressive distributed lag (ARDL) modelling technique. We implemented the covariance proportion, coefficient of determination, the Durbin Watson D statistics, analysis of variance (ANOVA), variance inflating factor (VIF), the Breusch-Pagan test, the Theil's inequality, the root mean quare error (RMSE), the mean absolute percentage error (MAPE), and the mean absolute error (MAE) for the diagnostics, efficiency, and validity of our model. Our results showed a significant association between increased CO2 emissions and increased electricity production from oil, gas, and other sources. An increase in electricity production from coal resources was seen to have resulted in a decrease in CO2 emissions. We observed that an increase in the gross domestic product (GDP) and population growth significantly contributed to the increased CO2 emissions. The increment in CO2 emissions resulting from industrial growth was not significant. The increment in CO2 emissions in the contemporary year is significantly associated with the preceding year's increase. The rate of increase was very alarming, a sign that no serious efforts have been channelled in this regard to reduce this phenomenon. We call for policy dialogue to devise energy-saving and CO2 emission reduction strategies to minimize the impact of climate change on industrialization, population growth, and GDP growth without deterring economic and human growth. Electricity production from different sources with no or minimal CO2 emissions should be adopted. We also recommend rigorous tree planting nationwide to help reduce the concentration of CO2 in the atmosphere as well as environmental pollution.

Indexed as

Carbon DioxideEconomic DevelopmentEnvironmental PollutionHumansIndustrial DevelopmentPakistanCarbon Dioxide

Identifiers

PMID37228064
PMCPMC10212093
OpenAlexW4378195375

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.