Awais Anwar
University of Lahore
12 Papers
2 Citations
Awais Anwar is an academic researcher from University of Lahore. The author has contributed to research in topics: Economic inequality & Per capita. The author has an hindex of 7, co-authored 9 publications. Previous affiliations of Awais Anwar include Shandong University.
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Papers
Industrialization, Freight Transport and Environmental Quality: Evidence from Belt and Road Initiative Economies
TL;DR: Estimated results of pool mean group (PMG) indicates that increase in industrial value added per capita and transport freight deteriorates the quality of environment in long-run, however, short-run results of granger causality reveals positive and unidirectional causality running from industrial valueadded per capita to emission of CO 2 while transport freight and CO 2 emission shows bidirectionals causality.
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Education Enrollment Level and Income Inequality: A Case of SAARC Economies
TL;DR: In this paper, the authors used the panel data from 1990 to 2015 to evaluate the effect of education on the income inequality in South Asian Association for Regional Cooperation (SAARC) countries.
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The importance of oil assets for portfolio optimization: The analysis of firm level stocks
TL;DR: In this article, the authors used the BEKK-GARCH model to analyze the volatility spillover between stocks and oil assets by using the variance and covariance series for portfolio optimization.
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•Journal Article
Socio-Economic Determinants of Crime: An Empirical Study of Pakistan
TL;DR: In this paper, the authors empirically examined the socioeconomic determinants of crime in Pakistan by using ARDL (Autoregressive Distributed Lag model) approach and estimated the long-run and short-run elasticities of supply of crime function.
How does economic complexity affect natural resource extraction in resource rich countries?
Shajara Ul-Durar,Noman Arshed,Awais Anwar,Arshian Sharif,Wei Liu +4 more
TL;DR: This study examines the relationship between economic complexity, natural resource rent, and extraction in 20 resource-rich economies, finding a curvilinear inverse U-shaped relationship between economic complexity and natural resource rent, with implications for transitioning to clean energy and achieving SDGs.
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