This study provides a stage-level analysis of firm-scale pooled data of 16 Asian countries to classified income economy-based data for various firm-and country-specific predictors of leverage. Our analysis captures the selection impact of both micro-and macro-level determinants on capital structure with and without income economy-based models. The regression model evaluated the significance of predictor variables based on random effect model of panel data setting. The study further explores the issue of interest by looking at key individual regression models by income economy to avoid any potential loss of information. We argue that this approach provides a comprehensive and insightful set of determinants because of the newer dimension of income economy classification based on per-capita Gross National Product (GNP) defined by the World Bank. The estimating equations for financing determinants identify the additional variables of non-debt tax shield, liquidity, tax and GDP growth rate in case of Asian countries. Our study establishes that the core variables of tangibility, growth, size, and profitability retain their significance for leverage choice in both options during 2008-2014 in Asian economies. Furthermore, the findings show that the financing choices of firms in Asian Quratulain Zafar ABOUT THE AUTHORS Ms. Quratulain is Assistant professor at BUITEMS, Pakistan. She is currently pursuing her PhD in FinancialEconomics, from Asian Institute of Technology, Thailand with scholarship from HEC under Faculty Development program. Her research encompasses financial development system and relationship with financing choices in 16 Asian Countries during 2008-2014. Dr. Winai is an applied economist whose research interests span areas of government regulation, investment, entrepreneurship, and business strategy. From 2005-2007, worked as consultant at NERA Economic Consulting, New York, USA. He earned his PhD in managerial economics and strategy from Kellogg School of

In this study, our main objective is to find the impact of FDI and external debt on health outcomes in emerging Asian economies from 1991 to 2019. To that end, we have collected data for seven economies: Bangladesh, Malaysia, Philippines, Thailand, Sri Lanka, China, and India. We have relied on the panel ARDL (PARDL) method for empirical analysis. The study's findings confirmed that the debt has increased infant mortality and decreased life expectancy in emerging Asian economies in the long run. On the other side, the FDI causes infant mortality to fall and life expectancy to rise in the long run in emerging Asian economies. Similarly, the health expenditures also reduced the infant mortality rate, though the impact is insignificant, and improved the life expectancy in emerging Asian economies. The causal analysis confirmed the two-way causality between health expenditure, infant mortality, and health expenditure and debt.

Human health is an important concern that gradually exists in sustainable development goals. The key aim of this study is to examine the impacts of the rule of law on happiness and health using a time series data of China over the data period 1998–2020. The empirical analysis utilizes the autoregressive distributed lag (ARDL) method to find out the short and long-run effects. Findings reveal that the rule of law stimulates happiness and human health in the long-run. More internet and GDP enhance happiness and human health in the long-run. The results also showed that health expenditure and education could not boost happiness and health in the long run, but unemployment's negative effect on health. Policymakers may use our empirical results to determine applicable policies to increase human health across China provinces.

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