Muhammad Azam

ORCID: 0000-0001-7417-3981
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Research Areas
  • Energy, Environment, Economic Growth
  • Energy, Environment, and Transportation Policies
  • Fiscal Policy and Economic Growth
  • Monetary Policy and Economic Impact
  • Economic Growth and Development
  • International Business and FDI
  • Global trade and economics
  • Global Financial Crisis and Policies
  • Energy and Environment Impacts
  • Income, Poverty, and Inequality
  • Environmental Impact and Sustainability
  • Islamic Finance and Banking Studies
  • Diverse Aspects of Tourism Research
  • Climate Change Policy and Economics
  • Air Quality and Health Impacts
  • Migration and Labor Dynamics
  • Economic Theory and Policy
  • Unemployment and Economic Growth
  • Economic Growth and Productivity
  • Microfinance and Financial Inclusion
  • Global Health Care Issues
  • Environmental Sustainability in Business
  • Corruption and Economic Development
  • Taxation and Compliance Studies
  • Defense, Military, and Policy Studies

Abdul Wali Khan University Mardan
2016-2025

Shanghai Jiao Tong University
2024-2025

Mayo Hospital
2016-2025

University of Lahore
2024

Universiti Tenaga Nasional
2024

International University of Rabat
2024

Institute of Southern Punjab
2023-2024

Muhammad Nawaz Shareef University of Agriculture
2023-2024

Iraqi University
2024

Ayub Agriculture Research Institute
2024

Abstract The Quantity Theory of Money claims to provide one the few long-run guides economic policy by providing specific numbers characterise correlation between money growth and inflation. Acceptance has been greatly helped claim, propounded most effectively Robert Lucas, that evidence for central can be corroborated ‘a theoretical’ examination data. We reexamine this empirical claim in two ways. First, we show how, both theoretical statistical reasons, facts accepted Lucas lack force he...

10.2478/jcbtp-2025-0010 article EN Journal of Central Banking Theory and Practice 2025-01-01

The pivotal role of energy in the progression economic growth cannot be overlooked. Given its importance to policymakers, influence use on is undeniably crucial and thus should explored meticulously. This study empirically examines impact within production function framework a panel 10 developing Asian economies from 1990Q1 2014Q4. pooled mean group, fully modified ordinary least squares, dynamic squares methods are implemented. Empirical results reveal that has significant positive growth,...

10.1080/13547860.2019.1665328 article EN Journal of the Asia Pacific Economy 2019-09-18

The broad aim of this study is to evaluate empirically the impacts urbanization along with some other explanatory variables on environmental degradation measured by carbon dioxide emissions for four countries from South Asian Association Regional Cooperation (SAARC) region namely India, Bangladesh, Sri Lanka, and Pakistan. Annual time series data over period 1982–2013 are used. After, employing various relevant required statistical tests, method least squares has been employed as an...

10.1002/ep.12282 article EN Environmental Progress & Sustainable Energy 2015-12-21

This study using an empirical analysis to examine the impact of foreign remittances along with some other variables (foreign aid, debt, human capital, inflation and income) on poverty alleviation in 39 countries including lower middle, upper middle high income countries.The uses data covering period 1990-2014 method Panel fully modified OLS (FMOLS).The FMOLS estimates reveal that increase leads decrease poverty.Foreign are found have positive statistically significant only for impacts aid...

10.14254/2071-789x.2016/9-1/18 article EN cc-by-nc-nd Economics & Sociology 2016-03-01

The prime objective of the current research is to investigate factors affecting foreign direct investment (FDI) inflows into BRICS countries with a special focus on energy impact FDI from 1990 2018. empirical results pane fully modified ordinary least squares (F.M.O.L.S.), dynamics (D.O.L.S.), Cross-sectional autoregressive distributed lag estimators (CS-ARDL), Augmented Mean Group estimator (AMG), and Common Correlated Effects Estimator (CCEMG) exhibits that all variables have statistically...

10.1016/j.esr.2021.100638 article EN cc-by-nc-nd Energy Strategy Reviews 2021-03-11
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