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Estimation of national stress index using socioeconomic antecedents - a case of MIMIC model

Arshed N, Ahmad W, Munir M, Farooqi A

Psychol Health Med, 2021 Mar 21.
PMID: 33749455 DOI: 10.1080/13548506.2021.1903051

Developed economies are at the forefront of facing the brunt of non-communicable diseases (NCD). The majority of the health expenditures are routed in managing obesity and mental disorder-related patients, and there is a fall in the productivity of the distressed and NCD prone labour. Several indicators of stress are used in literature to assess its implications. However, empirically no database has maintained the longitudinal data of national stress level. This study focused on constructing the socioeconomic antecedent of non-communicable stress which is leading to several NCDs. For this Multiple Indicator and Multiple Causes (MIMIC) model is utilized for 151 countries between 2008 and 2018. The results show that macroeconomic conditions, trade, and environmental quality follow fundamentals in explaining stress. While, national stress index is a significant source of smoking and mental disorder prevalence.
Fabrication and Characterization of SnO-Cu₂O Mixed Metal Oxide Thin Films for Photoelectrochemical Applications

Ahmed S, Shahid MM, Bakar SA, Arshed N, Basirun WJ, Fouad H

J Nanosci Nanotechnol, 2020 12 01;20(12):7705-7709.
PMID: 32711646 DOI: 10.1166/jnn.2020.18570

Herein, we report the synthesis of SnO, Cu₂O and SnO-Cu₂O mixed oxide thin films on fluorinedoped tin oxide (FTO) substrate by Aerosol-Assisted Chemical Vapour Deposition (AACVD) process using [Cu (dmae)₂(H₂O)] and [Sn (dmae) (OAc)]₂ as molecular precursors for SnO and Cu₂O, respectively at 400 °C. The X-ray diffraction (XRD) pattern can be ascribed to the tetragonal phase of SnO crystals with space group P4 and cubic phase of Cu₂O crystals with space group Pn- 3m/nmm, respectively. The surface morphology characteristics of SnO, Cu₂O and SnO-Cu₂Omixed oxide have been investigated using Field Emission Scanning Electron Microscope (FESEM) which revealed that the SnO was grown homogeneously in cubical shape while Cu₂O possess nano balls shaped morphologies. The UV band gap values of SnO-Cu₂O mixed oxide thin film was found to be 2.6 eV appropriate for photoelectrochemical (PEC) applications. The synthesized material was proposed for PEC applications and has shown enhanced catalytic performance in the presence of light.
Global human obesity and political globalization; asymmetric relationship through world human development levels

Munir M, Zakaria ZA, Alhajj R, Mohamad MB, Baig AA, Arshed N

Nutr Health, 2022 Sep 13.
PMID: 36113142 DOI: 10.1177/02601060221125146

Purpose - Political globalization is a crucial and distinct component of strengthening global organizations. Obesity is a global epidemic in a few nations, and it is on the verge of becoming a pandemic that would bring plenty of diseases. This research aims to see how the political globalization index affects worldwide human obesity concerning global human development levels. Methods- To assess any cross-sectional dependence among observed 109 nations, the yearly period from 1990 to 2017 is analyzed using second generation panel data methods. KAO panel cointegration test and Fully Modified Least Square model were used to meet our objectives. Finding- Low level of political globalization tends to increase global human obesity because countries cannot sway international decisions and resources towards them. While the high level of political globalization tends to reduce obesity because it can control and amends international decisions. For the regression model, a fully modified Least Square model was utilized. The study observed that the R squared values for all models are healthy, with a minimum of 87 percent variables explaining differences in global obesity at the country level. Originality: There is very important to tackle the globalization issue to reduce global human obesity. With the simplicity of dietary options and the amount of physical labour they undergo in their agricultural duties, an increase in rural population percentage tends to lower the average national obesity value.
Global impact on human obesity - A robust non-linear panel data analysis

Munir M, Zakaria ZA, Baig AA, Mohamad MB, Arshed N, Alhajj R

Nutr Health, 2022 Oct 05.
PMID: 36198038 DOI: 10.1177/02601060221129142

Purpose: Recent studies in economics showed that humans are bounded rational. This being consumers, they are not perfect judges of what matters for the standard of living. While with a marked increase in economic and social wellbeing, there is a consistent rise in obesity levels, especially in the developed world. Thus, this study intends to explore the empirical and socio-economic antecedents of human obesity across countries using six global indexes. Methods: This study used the data of 40 countries between 1975 to 2018 and used the Panel FGLS Regression with the quadratic specification. Findings: The results showed that health and food indicators increase global human obesity, environment and education indicators decrease global human obesity, and economic and social indicators follow an inverted U-shaped pattern in affecting global human obesity. Originality: Previous studies have used infant mortality and life expectancy as the major health indicator in determining the standard of living while overlooking global human obesity as a major deterrent to welfare. This study has provided a holistic assessment of the causes of obesity in global contexts.
Exploring the impact of industrialization and electricity use on carbon emissions: The role of green FinTech in Asian countries using an asymmetric panel quantile ARDL approach

Kakar SK, Ali J, Wang J, Wu X, Arshed N, Le Hien TT, et al.

J Environ Manage, 2024 Nov;370:122970.
PMID: 39426172 DOI: 10.1016/j.jenvman.2024.122970

PURPOSE: The purpose of this study is to investigate how industrialization, financial development, electricity consumption, trade openness, and green FinTech affect on carbon emissions asymmetrically in Asian countries.
DESIGN: Method/Approach: The study examined 29 years of panel data from 39 Asian countries from 1995 to 2022, sourced from World Development Indicators (WDI) and the International Monetary Fund (IMF). The study constructs a green financial technology index using principal component analysis (PCA). The study utilizes an Asymmetric Panel Quantile Autoregressive Distributive Lag (A-QARDL) model with pooled mean group (PMG) specifications to explore effects that exhibit cross-sectional homogeneous in the long-run, but heterogeneous in the short-run effects.
FINDINGS: Industrialization and financial development have a strongly asymmetric impact on carbon emissions. Industrialization causes an increase in carbon emissions at various quantiles, while green FinTech plays a crucial role in mitigating these carbon emissions. Trade openness and domestic credit to the private sector also help reduce carbon emissions.
RESEARCH LIMITATIONS AND IMPLICATIONS: The study emphasizes the significance of employing green FinTech techniques and using renewable energy sources to meet sustainable industrialization and sustainability goals in Asian countries. The policy consequences include promoting environmentally friendly industrial practices, encouraging green financial investments, and boosting government financing for private sector research and development to mitigate carbon emissions.
ORIGINALITY/VALUE: The study employs robust modeling to analyze the role of green FinTech to enhance industrial sustainability. Both Industrialization and deindustrialization have an impact on economic emissions, and the potential of green FinTech's to promote sustainability contributes to the environment protection strategy.
Fulltext Investigating the biodiversity conservation capability of technological innovation and FinTech

Kakar SK, Wang J, Arshed N, Le Hien TT, Abdullahi NM

Heliyon, 2024 Dec 15;10(23):e40683.
PMID: 39687159 DOI: 10.1016/j.heliyon.2024.e40683

Human activities, primarily economic growth, and technological innovation, threaten global biodiversity. This study utilizes 22-year panel data from 87 developing countries and a novel cross-sectional heterogeneous factor analysis-based financial technology index to investigate how economic growth, renewable energy consumption, technological innovation, natural resources, and financial technology affect biodiversity. To account for cross-sectional dependency, this study employed a Panel Autoregressive Distributive Lagged with Pooled Mean Group specifications within the Driscoll and Kraay standard error estimator. The findings revealed that the log of Gross Domestic Product (GDP) had an inverted U-shaped effect. Moreover, economic growth, renewable energy, and FinTech can improve biodiversity conservation. Traditionally, technological innovation and unregulated resource exploitation have posed threats to biodiversity. This study focused on responsible economic development and practical solutions to biodiversity threats posed by technological innovation and unrestrained resource use. FinTech can promote sustainable behaviors and divert funds from ecosystem-harming projects to biodiversity-friendly ones. Innovative financial instruments enable stakeholders to balance nature. This study demonstrates that FinTech, renewable energy, and responsible economic growth can help reverse biodiversity loss. We provide the policy implications of our research.