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Aamir Syed
Shri Ramswaroop Memorial University

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Research article
Published: 20 May 2021 in Environmental Science and Pollution Research
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Environmental pollution caused by carbon emissions is an emerging issue to study among researchers. The nexus between environmental pollution and carbon emissions has motivated researchers to evaluate the impact of cleaner energy on carbon emissions. This study further contributes to the research by examining the above relationship by studying the asymmetric influence of nuclear energy (NE), industrial productivity (IP), and economic growth rate (GDP) on carbon emissions (CO2) in India from 1975 to 2018 using the asymmetric autoregressive distribution lag approach. The results of the bound test and the Wald test show that in the long run, there is an asymmetric relationship between CO2, NE, GDP, and IP, and in the short run, there is a symmetric relationship between CO2, GDP, and IP. The result implies that increased usage of nuclear energy over fossil fuels and improvement in industrial productivity, in the long run, reduces CO2 emission in India. Furthermore, the study concludes that the government should consider the asymmetric relationship between the variables and devise appropriate policies to increased nuclear energy and industrial productivity in India for environmental sustainability.

ACS Style

Aamir Aijaz Syed; Muhammad Abdul Kamal; Ravindra Tripathi. An empirical investigation of nuclear energy and environmental pollution nexus in India: fresh evidence using NARDL approach. Environmental Science and Pollution Research 2021, 1 -12.

AMA Style

Aamir Aijaz Syed, Muhammad Abdul Kamal, Ravindra Tripathi. An empirical investigation of nuclear energy and environmental pollution nexus in India: fresh evidence using NARDL approach. Environmental Science and Pollution Research. 2021; ():1-12.

Chicago/Turabian Style

Aamir Aijaz Syed; Muhammad Abdul Kamal; Ravindra Tripathi. 2021. "An empirical investigation of nuclear energy and environmental pollution nexus in India: fresh evidence using NARDL approach." Environmental Science and Pollution Research , no. : 1-12.

Journal article
Published: 18 May 2021 in Sustainability
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COVID-19 is certainly the first sustainability crisis of the 21st century. The paper examines the impact of COVID-19 on the Indian stock and commodity markets during the different phases of lockdown. In addition, the effect of COVID-19 on the Indian stock and commodity markets during the first and second waves of the COVID-19 spread was compared. A comparative analysis of the stock market performances and sustainability of selected South Asian countries is also included in the study, which covers the lockdown period as well as the time frame of the first and second waves of COVID-19 spread. To examine the above relationship, the conventional Welch test, heteroskedastic independent t-test, and the GMM multivariate analysis is employed, on the stock return, gold prices, and oil prices. The findings conclude that during the different phases of lockdown in India, COVID-19 has a negative and significant impact on oil prices and stock market performance. However, in terms of gold prices, the effect is positive and significant. The results of the first wave of COVID-19 infection also corroborate with the above findings. However, the results are contradictory during the second wave of coronavirus infection. Furthermore, the study also substantiates that COVID-19 has significantly affected the stock market performances of selected South Asian countries. However, the impact on the stock market performances was only for a short period and it diminished in the second wave of COVID-19 spread in all the selected South Asian countries. The findings contribute to the research on the stock and commodity market impact of a pandemic by providing empirical evidence that COVID-19 has spill-over effects on stock markets and commodity market performances. This result also helps investors in assessing the trends of the stock and commodity markets during the pandemic outbreak.

ACS Style

Farhan Ahmed; Aamir Syed; Muhammad Kamal; Maria De Las Nieves López-García; Jose Ramos-Requena; Swati Gupta. Assessing the Impact of COVID-19 Pandemic on the Stock and Commodity Markets Performance and Sustainability: A Comparative Analysis of South Asian Countries. Sustainability 2021, 13, 5669 .

AMA Style

Farhan Ahmed, Aamir Syed, Muhammad Kamal, Maria De Las Nieves López-García, Jose Ramos-Requena, Swati Gupta. Assessing the Impact of COVID-19 Pandemic on the Stock and Commodity Markets Performance and Sustainability: A Comparative Analysis of South Asian Countries. Sustainability. 2021; 13 (10):5669.

Chicago/Turabian Style

Farhan Ahmed; Aamir Syed; Muhammad Kamal; Maria De Las Nieves López-García; Jose Ramos-Requena; Swati Gupta. 2021. "Assessing the Impact of COVID-19 Pandemic on the Stock and Commodity Markets Performance and Sustainability: A Comparative Analysis of South Asian Countries." Sustainability 13, no. 10: 5669.

Journal article
Published: 01 January 2021 in Revista Finanzas y Política Económica
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This research work aims to verify how military expenditure promotes economic growth and industrial productivity, as suggested by the Military Keynesianism postulate. The NARDL method is employed to achieve the above objective on the panel data of India, China, and Pakistan, covering the period between 1990 and 2018. The study finds that the positive and negative impact of military expenditure has a significant positive and negative effect on economic growth in the long run for China and India; however, in the short-run, only positive impact favors economic growth. Thus, there is a symmetric effect in the short-run and an asymmetric impact in the long-run. This asymmetric result supports the work of Military Keynesianism, helping policymakers in devising appropriate macro-economic policies.

ACS Style

Aamir Syed. The Asymmetric Relationship Between Military Expenditure, Economic Growth and Industrial Productivity: An Empirical Analysis of India, China and Pakistan Via the NARDL Approach. Revista Finanzas y Política Económica 2021, 13, 1 .

AMA Style

Aamir Syed. The Asymmetric Relationship Between Military Expenditure, Economic Growth and Industrial Productivity: An Empirical Analysis of India, China and Pakistan Via the NARDL Approach. Revista Finanzas y Política Económica. 2021; 13 (1):1.

Chicago/Turabian Style

Aamir Syed. 2021. "The Asymmetric Relationship Between Military Expenditure, Economic Growth and Industrial Productivity: An Empirical Analysis of India, China and Pakistan Via the NARDL Approach." Revista Finanzas y Política Económica 13, no. 1: 1.

Academic paper
Published: 19 September 2020 in Journal of Public Affairs
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This research work intends to measure how bank‐specific and macroeconomic determinants affect nonperforming loans among developed and developing countries. To achieve the objective dynamic Generalized Method of Moments (GMM) technique is used covering the period from 1995 to 2019, apart from using fixed and random tests for robustness checks.Findings suggest that the common macroeconomic and bank‐specific factors which affect nonperforming loans among developed and developing countries are growth rate, inflation, interest rate, capital adequacy ratio, credit to deposit ratio, and bank credit to the private sector. Macroeconomic factors and bank‐specific factors affecting only developing countries are household consumption, unemployment, and exchange rate, return on bank assets, bank asset to GDP, and bank credit to the government sector.These findings will help policymakers in better understanding the impact of various determinants on nonperforming loans. So that appropriate policies can be framed for reducing nonperforming among the developed and developing countries.

ACS Style

Aamir A. Syed; Yeren Aidyngul. Macro economical and bank‐specific vulnerabilities of nonperforming loans: A comparative analysis of developed and developing countries. Journal of Public Affairs 2020, 1 .

AMA Style

Aamir A. Syed, Yeren Aidyngul. Macro economical and bank‐specific vulnerabilities of nonperforming loans: A comparative analysis of developed and developing countries. Journal of Public Affairs. 2020; ():1.

Chicago/Turabian Style

Aamir A. Syed; Yeren Aidyngul. 2020. "Macro economical and bank‐specific vulnerabilities of nonperforming loans: A comparative analysis of developed and developing countries." Journal of Public Affairs , no. : 1.

Original research article
Published: 14 September 2020 in Frontiers in Applied Mathematics and Statistics
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This study intends to find out how the bank or industry-specific variables like banking regulation, banking efficiency, and banking operations affect non-performing loans in South Asia. To achieve this objective this study has employed robust 1st and 2nd generation Unit root tests, CIPS test, PMG and Dynamic Correlated Model approach on the panel data set of selected South Asian countries from 1995 to 2019, to avoid the implications of Cross-sectional dependency on the result analysis. The finding of the study shows that loose banking operations, lower exchange rate, and volatile interest rate have a significant positive relationship with non-performing loan whereas lower banking efficiency have a significant negative relationship with non-performing loans. The study also confirms the importance of cross-sectional dependencies in getting more accurate and robust results. This study will be useful for policy implementation and to understand the importance of micro banking variables in controlling non-performing loans, apart from contributing toward the literature of cross-sectional dependency.

ACS Style

Aamir Aijaz Syed. Does Banking Efficiency, Regulation, and Operations Affect Banking Performance in South Asia: Dynamic Correlated Model Approach. Frontiers in Applied Mathematics and Statistics 2020, 6, 1 .

AMA Style

Aamir Aijaz Syed. Does Banking Efficiency, Regulation, and Operations Affect Banking Performance in South Asia: Dynamic Correlated Model Approach. Frontiers in Applied Mathematics and Statistics. 2020; 6 ():1.

Chicago/Turabian Style

Aamir Aijaz Syed. 2020. "Does Banking Efficiency, Regulation, and Operations Affect Banking Performance in South Asia: Dynamic Correlated Model Approach." Frontiers in Applied Mathematics and Statistics 6, no. : 1.

Journal article
Published: 06 February 2019 in Indian Journal of Finance
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The issue of non - performing loans is considered as a serious threat towards the banking soundness of a country. Non - performing loans are those loans which cease to generate principal and interest and create a negative impact on the performance of banks. There are a host of factors which affect non - performing loans, which include both banking and macroeconomic variables. This study attempted to study the impact of macroeconomic determinants on the non - performing loans of BRICS countries covering the period from 2000 - 2016. The BRICS bloc was considered for the study as various previous studies showed that trading blocs also get affected by inter country non - performing loans' issues. This study used dynamic panel data approach for analysis using the fully modified ordinary least square model (FMOLS) along with cointegration analysis, and for robustness checks, this model incorporated the fixed and random ordinary least square methods. The results showed that unemployment had a positive relation with non - performing loans; whereas, growth and financial soundness of a country had a negative relation with non - performing loans. Saving rate of households also had an inverse relation with non - performing loans and inflation rate also showed a negative relation with default loans.

ACS Style

Aamir Syed; Ravindra Tripathi. Non - Performing Loans in BRICS Nations : Determinants and Macroeconomic Impact. Indian Journal of Finance 2019, 13, 22 .

AMA Style

Aamir Syed, Ravindra Tripathi. Non - Performing Loans in BRICS Nations : Determinants and Macroeconomic Impact. Indian Journal of Finance. 2019; 13 (2):22.

Chicago/Turabian Style

Aamir Syed; Ravindra Tripathi. 2019. "Non - Performing Loans in BRICS Nations : Determinants and Macroeconomic Impact." Indian Journal of Finance 13, no. 2: 22.