Abstract Cardiovascular disease (CVD) is a leading cause of death and disability worldwide, its incidence prevalence are increasing in many countries. Modeling CVD plays crucial role understanding the trend cases, evaluating effectiveness interventions, predicting future trends. This study aims to investigate modeling forecasting mortality, specifically Sindh province Pakistan. The civil hospital Nawabshah area province, Pakistan, provided data set used this study. It time series dataset...

<p>This study discusses a novel family of unbiased ratio estimators using the Hartley-Ross (HR) method. The are designed to estimate population distribution function (PDF) in context simple random sampling with non-response. To assess their performance, expressions for variance obtained up initial (first) approximation order. efficiency proposed is evaluated analytically and numerically compared existing estimators. In addition, accuracy assessed four real-world datasets simulation...

This paper examines the time-varying spillover effects and connectedness of Bitcoin price with clean renewable energy stocks using quantile VAR framework. We use daily indices spanning from 1 January 2014, to 18 October 2022. Before probing between markets examined, we first examine mean-based averaged connectedness. These results indicate that receives more shocks in system than it transmits. Additionally, emerges as a net receiver return index evolution among driven mainly by own shocks....

The motivation of the study is to investigate nature relationship between institutional quality, tourism, and FDI in BIMSTEC nations for period 1996Q1–2018Q4. Exploring their association, performed several panel econometric models, namely Panel ARDL, Nonlinear Toda-Yamamoto causality test, with symmetric asymmetric effects quality tourism. results Wald test confirmed long-run FDI, both short-run. Furthermore, directional casualty established a feedback hypothesis explaining FDI.

M-wallets are comparatively more advantageous and convenient than conventional payment systems as m-wallets allow users to avoid cash. The present research uses the diffusion of innovation theory base propose a model by incorporating constructs like convenience, perceived security, personal innovativeness, trust investigate determinants consumers' intention-to-use m-wallets. A twofold approach comprising Structural Equation Modelling-Artificial Neural Network (SEM-ANN) was used: First,...

Although “green” and “clean” are key terms in sustainable environmental development, the literature on relationship between green finance, clean technology, a environment is lacking. Furthermore, exploitation of natural resources may provide distinctive perspective this interconnection, contributing to more promising policy ramifications for future planet. Thus, study examines impact technologies, resource rents, economic growth sustainability, proxied by novel “Environmental Sustainability...

The incredible increase in carbon emissions is a major global concern. Thus, academicians and policymakers at COP26 are continuously urging to devise strategies reduce other greenhouse gas emissions. transportation sector contributor developing countries. Therefore, this study projected an fossil fuel demand for corresponding dioxide emission Pakistan from 2018 2030 by employing the Grey model using annual data 2010 2018. Furthermore, determinant of modeled environmental sustainability such...

The world's tangible shift to clean energy transitions strengthens renewable electricity generations. Therefore, developing countries are marching toward the digitalized pathway production safeguard global climate change from fossil fuel-based non-renewable consumption. We investigate role of information digitalization proxied by globalization de facto and jure in generations within purview financial openness, labor productivity, transport infrastructures, technological innovation,...

Purpose This study investigates the dynamic interdependence between Islamic and conventional stock markets in Gulf Cooperation Council (GCC) economies influence of global financial uncertainties on this interconnection. Design/methodology/approach The employs time-varying parameter vector autoregressions (TVP-VAR) technique analyzes daily data from December 1, 2008 to July 14, 2021. Findings research reveals robust interconnectedness within individual countries markets, particularly during...

Purpose The purpose of this paper is to empirically investigate the determinants and impact financial development on shadow economy in OIC countries then compared with non-OIC countries. Design/methodology/approach study applies advanced panel GMM technique. Findings finds that macro-variables (unemployment, economic growth, money supply foreign trade) institutional variables reduce both also explores mitigates economy; however, its significantly less case economies Research...

Purpose The purpose of this paper is to analyze the relationship between macroeconomic fundamentals, intuitional quality and shadow economy. Design/methodology/approach By utilizing data setspanning from 2004 2015 141 countries, study has employed advanced panel technique, i.e. Generalized Method Moments (GMM) method. In order check consistency results, also used fixed effect random for robustness. Findings finds that full sample, institutional negative on economy while fundaments...

This study aimed to utilize different plant-derived mucilage as a fat substitute in yogurt production.

Abstract Amid a global shift towards eco-friendly practices, this study investigates the impact of green human resource management (GHRM) practices on innovative work behavior (GIWB) in hospitality sector, focusing emerging and developing countries, specifically China Pakistan. The research also explores mediating roles perceived organizational support (GPOS) citizenship environment (OCBE), as well moderating role transformational leadership (GTL). This is grounded AMO (ability, motivation,...

The present research focuses on the endogenous development theory and investigates relationship between economic growth (dependent variable) renewable energy consumption, technological innovation, export diversification (independent variables) in seven emerging economies known as E-7. Previous studies have examined these factors individually but not explored their combined impact E-7 economies. Therefore, this study contributes to existing literature effects of advancement, development....

To address the climate change impact, governments around world have made financial commitments to dedicate a significant portion of their budgets “research and development (R&D)” related cutting-edge technology development. However, there is limited research in literature that has examined effects commitment renewable energy projects public R&D on environment economic growth. Thus, this study an endeavor investigate impact enterprises, expenditure, innovation CO2 emissions (CO2e)...

Bitcoin (BTC-USD) is a virtual currency that has grown in popularity after its inception 2008. BTC-USD an internet communication network makes using digital money, including payments, easy. It offers decentralized clearing of transactions and money supply. This study attempts to accurately anticipate the prices (Close) data from September 2023 2024, comprising 390 observations. Four machine learning models—Multi-layer Perceptron, Extreme Learning Machine, Neural Network AutoRegression,...