Sharafat Ali
EducationGeography, Planning and DevelopmentMultidisciplineSafetySocial and Political ScienceSafetySocial and Political Science Environmental Conflict Management Graph Model for Conflict Resolution Attitude-based Conflict Analysis Power Asymmetric Preferences in Evolutional GMCR Information Asymmetry in Evolutional GMCR Evolutional Attitude in Evolutional GMCR Evolutional GMCR Power Asymmetric Preferences Energy-Environmntal Policy Conflicts Behavioral Decision-Making Environmental Policy Making Urban Planning Tourism and Development Sustainable Development Strategic Decision Making Education Geography, Planning and Development Social and Political Science Sustainable Development and Environmental Management Sustainable Development and Environmental Policy Economic and Business Development Strategies Business and Economic Development Climate Change and Sustainable Development Corporate Social Responsibility and Sustainability Economic Development and Digital Transformation Economic and Industrial Development Global Economic and Social Development Environmental and Social Impact Assessments Politics, Economics, and Education Policy Energy, Economy, and Technology Trends Economic and Technological Innovation Economic Growth and Fiscal Policies Sustainable Industrial Ecology Global trade and economics Economics and Econometrics General Economics, Econometrics and Finance Global and Planetary Change Industrial and Manufacturing Engineering Information Systems Management, Monitoring, Policy and Law Marketing Organizational Behavior and Human Resource Management Renewable Energy, Sustainability and the Environment

Bio

Sharafat Ali is an Associate Professor in the Department of Economics at Government Graduate College Kot Sultan, Layyah, Pakistan. He holds a PhD in Management Science and Engineering from Nanjing University of Aeronautics and Astronautics, China, and completed a Postdoctoral Fellowship at Infrastructure University Kuala Lumpur, Malaysia. His research spans development economics, poverty analysis, environmental management, and sustainable industrial production. With over 130 publications and nearly 3,000 citations, his work has significantly influenced policy discussions on income inequality, multidimensional poverty, and foreign aid effectiveness in Pakistan. Dr. Ali is an active member of the Pakistan Society of Development Economists and has served as a reviewer for several international journals. His current affiliations include research fellowships at Jiangsu University of Science and Technology and Ghazi University, reflecting his ongoing commitment to interdisciplinary and cross-border research collaborations.

Educational Journey

Infrastructure University Kuala Lumpur

Postdoctoral Fellow

2023

Nanjing University of Aeronautics and Astronautics

Management Science and Engineering in College of Economics and Management • College of Economics and Management

2019

Allama Iqbal Open University

Master of Philosophy (MPhil) - in Economics • Economics

2015
Show all 4 education

Experience

Research Fellow

2024 - Present

Research Fellow/Adjunct Faculty

2023 - Present • School of Economics and Management

Government Graduate College Kot Sultan

Associate Professor

2019 - Present • Economics
Show all 8 experience

Editors Role

Reviewer

GJHSS

2013 -

Affiliations

Pakistan Society of Development Economists (PSDE)

Member

Member since 0

Grants and Awards

GRANT

The Belt and Road" Innovative Talents Exchange Foreign Experts Project of China (DL2023014010L)

The Belt and Road" Innovative Talents Exchange Foreign Experts Project of China (DL2023014010L)

Research

Manufacturing Sector Employment and Multidimensional Poverty in Pakistan: A Case Study of Punjab Province

Article April 17, 2014

Economic growth coupled with equitable distribution of income and low poverty levels are the prime objective of economists and policy makers. Industrial sector has been the ‘engine of growth’ in the process of growth and development of the developed economies of today. Pakistan economy is the sixth largest economy of the world. About 48 percent of population, in Pakistan, is living under multidimensional poverty. The industrial sector of the Pakistan economy contributes about one-fifth of shares in the GDP. It employs a large share of labor force. So these facts provided the aspirations to explore the impact of manufacturing sector employment on multidimensional poverty in Pakistan. Crosssectional data of 34 districts of Punjab province is used for the analysis. Multidimensional poverty head count index is regressed on manufacturing sector employment, healthcare, and education service. The standard OLS method is used to estimate the poverty equation. The study confirms the poverty alleviating impact of manufacturing sector employment and human capital (healthcare and education). The estimated model qualifies the diagnostic, specification error and stability tests. The study also suggests some policy recommendations for the improvement of the human capital and manufacturing sector.

A Time Series Analysis of Forieng Aid and Income Inequality in Pakistan

Article July 31, 2013

Pakistan economy is one those economies that has received a huge amount of foreign aid. Foreign aid has been considered to help capital-deficient economies to fulfill the desired levels of finances to generate growth, increase employment and income, and furthermore, it helps to alleviate poverty levels in the recipient economies. Present study focuses on the analysis of impact of foreign aid on income inequality in Pakistan. Since time series data is used for the analysis so the ADF and Phillip-Perron unit root test are applied to find out each of the time series to be stationary at its first difference. Johansen contegration test and vector error correction models are employed to examine the long run and short run impacts of growth, foreign aid, foreign direct investment, and labor force participation rate on income inequality, respectively. The cointegration test results confirm negative impact of economic growth on income inequality whereas foreign aid, foreign direct investment and labor force participation rate are concluded to have inequality increasing impacts. The results are statistically significant. Vector error correction model results showed long run causality as the coefficient of error correction term has the negative and significant coefficient. The Engle-Granger causality test showed bidirectional causality between aid and growth. The study also draws some conclusions and policy recommendations.