Enhanced Environmental, Social, Governance (ESG) Claims and Escalated Poverty Transport Section: A Case of Selected Corporate Sectors of Pakistan

Transportation is considered the backbone of any corporate sector, from the delivery of raw materials to final products in the market. In this way, the transport sector is the main contributor to carbon emissions in the environment. Environment, social, and governance (ESG) mechanisms are adopted by companies to reduce environmental burdens. Intriguingly, the people associated with the transport section are under the poverty line. This study is designed to evaluate the multidimensional poverty index (MPI) of people associated with the transport section of different corporate sectors of Pakistan, along with calculations of ESG scores and carbon emissions of those sectors. MPI values indicated an increasing trend along with escalated ESG score claims and carbon emissions. Regression analysis indicates an insignificant relationship between ESG and emissions, while Pearson correlation analysis has shown a strong relationship between MPI and emissions and a negative relationship between ESG and emissions. Principal component analysis (PCA) for the overall dataset indicated the highest variation by MPI in PC1, followed by emissions.

Authors

Publication Details

Journal
Forman Journal of Economic Studies
Published
2024-12-30
DOI
https://doi.org/10.32368/fjes.20242006
Primary Topic
International Development and Aid
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Enhanced Environmental, Social, Governance (ESG) Claims and Escalated Poverty Transport Section: A Case of Selected Corporate Sectors of Pakistan

Usman Ali, Baber Amin, Abdul Hafeez Qazi, Chan Khan et al.
Forman Journal of Economic Studies
International Development and Aid
article

Enhanced Environmental, Social, Governance (ESG) Claims and Escalated Poverty Transport Section: A Case of Selected Corporate Sectors of Pakistan

Usman Ali, Baber Amin, Abdul Hafeez Qazi, Chan Khan, Ansa Rabail
article en

Abstract

Transportation is considered the backbone of any corporate sector, from the delivery of raw materials to final products in the market. In this way, the transport sector is the main contributor to carbon emissions in the environment. Environment, social, and governance (ESG) mechanisms are adopted by companies to reduce environmental burdens. Intriguingly, the people associated with the transport section are under the poverty line. This study is designed to evaluate the multidimensional poverty index (MPI) of people associated with the transport section of different corporate sectors of Pakistan, along with calculations of ESG scores and carbon emissions of those sectors. MPI values indicated an increasing trend along with escalated ESG score claims and carbon emissions. Regression analysis indicates an insignificant relationship between ESG and emissions, while Pearson correlation analysis has shown a strong relationship between MPI and emissions and a negative relationship between ESG and emissions. Principal component analysis (PCA) for the overall dataset indicated the highest variation by MPI in PC1, followed by emissions.

Forman Journal of Economic StudiesVol. 20(2)
Openalex Percentile: Top 43%
International Development and Aid
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Enhanced Environmental, Social, Governance (ESG) Claims and Escalated Poverty Transport Section: A Case of Selected Corporate Sectors of Pakistan — Usman Ali, Baber Amin, et al. · Forman Journal of Economic Studies (2024) | TGRS Research Map | TGRS