Dr. Arsalan Tanveer

Dr. Dr. Arsalan Tanveer

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Research Focus & Metrics

Academic Career Length

6Years (2021-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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27 July 2021 in Environmental Science and Pollution Research
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Journal Article
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DTDr. Arsalan Tanveer
Dr. Arsalan Tanveer
HSHua Ming Song
Hua Ming Song
MFMuhammad Faheem
Muhammad Faheem
LNLi Ning
Li Ning
SNSaira Naseer
Saira Naseer

27 November 2021 in Environmental Science and Pollution Research
Verified
Journal Article
Closed access
PDF file
DTDr. Arsalan Tanveer
Dr. Arsalan Tanveer
HSHua Ming Song
Hua Ming Song
MFMuhammad Faheem
Muhammad Faheem
ICImran Sharif Chaudhry
Imran Sharif Chaudhry

28 October 2023 in Environmental Science and Pollution Research
Verified
Journal Article
Closed access
PDF file
MSMuhammad Sajid
Muhammad Sajid
MAMuhammad Akbar Ali Ansari
Muhammad Akbar Ali Ansari
DTDr. Arsalan Tanveer
Dr. Arsalan Tanveer
MFMuhammad Faheem
Muhammad Faheem
AWAsim Waseem
Asim Waseem

24 January 2024 in Environment, Development and Sustainability
Verified
Journal Article
Closed access
PDF file
DTDr. Arsalan Tanveer
Dr. Arsalan Tanveer
HSHua Ming Song
Hua Ming Song
MFMuhammad Faheem
Muhammad Faheem
LNLi Ning
Li Ning

6 December 2021 in Soft Computing
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Journal Article
Closed access
PDF file
SNsaira naseer
saira naseer
HSHua Ming Song
Hua Ming Song
MAMuhammad Shamrooz Aslam
Muhammad Shamrooz Aslam
LNLi Ning
Li Ning
DTDr. Arsalan Tanveer
Dr. Arsalan Tanveer

20 March 2023 in Energy & Environment
Verified
Journal Article
Closed access
DTDr. Arsalan Tanveer
Dr. Arsalan Tanveer
HSHua Ming Song
Hua Ming Song
MFMuhammad Faheem
Muhammad Faheem
ADAbdul Daud
Abdul Daud
NSNoreen Safdar
Noreen Safdar
Due to the adoption of more financial inclusion (FI), energy utilization with sustainability became a challenge for world economies. Our research examines whether FI symmetrically and asymmetrically affects environmental sustainability in Pakistan. Six proxies are indexed for the FI data through principal component analysis (PCA). In the present research explanatory variables are, energy usage, industrialization, urbanization, and human capital during from 1975 to 2018. Our study engaged the Stochastic Impact by Regression on Population, Affluence, and Technology Approach (STIRPAT). Additionally, the econometric strategy is adopted for the empirical analysis to acquire the symmetric and asymmetric outcomes. The empirical result validates the asymmetric association of FI and carbon dioxide (CO2) emanations in short and long lags. Besides, fossil energy utilization, industrialization, and urbanization smoothen the path of environmental pollution. However, human capital significantly aids in reducing carbon pollution in the short and long terms. The policy makers can practically implement the research to utilize FI effectively to improve environmental sustainability and develop policies that discourage fossil energy utilization. Moreover, we pointed out the alarming situation of dealing with harmful emissions from urbanization and industrialization.