Education and technological innovation in mitigating CO emissions and fostering green economic growth in China: Marginal effects and policy threshold analyses.

This study makes a significant contribution to China's ambitious goals of achieving carbon dioxide (CO) neutrality and transitioning to green economic growth (GEG), and integrating the theoretical framework of the impact, population, affluence, and technology (IPAT) theory, with real-world application to reduce CO and promote GEG for sustainable development. Furthermore, the study examines the ongoing theoretical debate on whether an inverted U-shaped environmental Kuznets curve (EKC) exists between technological innovations (TI) in environment-related fields and CO emissions in China, using data from 1990 to 2020 and employing the threshold instrumental variable two-stage least-squares (Th-IV2SLS) model. The findings indicate that all the variables representing education contribute to reducing CO emissions.

Transformative role of educational funding in shaping national development across SAARC countries in the 21st century: A panel NARDL approach.

Since the beginning of this century, there has been evidence of a rise in educational funding among the South Asian Association for Regional Cooperation (SAARC). However, there has been a decline in recent years despite South Asia being a highly populated and poverty-ridden region. Thus, the present study comes to assess how well the countries are doing in relation to the effect of educational funding on national development indicators, namely economic growth, human capital development, and the unemployment rate among the SAARC countries in the 21st century using Panel Nonlinear Autoregressive Distributed Lag (PNARDL) model formulated in Salisu and Isah (2017).

Exploring the interrelationship among health status, CO emissions, and energy use in the top 20 highest emitting economies: based on the CS-DL and CS-ARDL approaches.

Carbon dioxide emissions (COe) which is caused by energy use contributes to the global average surface temperature increase by 1.5 °C as compared to the mid-1800s which is causing a certain change in the climate and becoming an adverse effect on health and economy. The relationship between health status, COe, and energy use has yet to be thoroughly investigated in the top 20 highest emitting economies.

Ramification of healthcare expenditure on morbidity rates and life expectancy in the association of southeast asian nations countries: A dynamic panel threshold analysis.

Objective: This study has investigated the impact of healthcare expenditure on life expectancy and morbidity rates in the Association of Southeast Asian Nations to analyse whether health expenditure remains a critical component of improving health status and to determine the threshold value at which health strategy becomes cost-effective from 2000 to 2019.

Methods: The techniques employed include the Dynamic Panel Threshold model advanced by Seo et al. (2019) to implement Seo and Shin's (2016) proposed first-differenced generalised method of moments (GMM) estimation.

The nonlinearity and nonlinear convergence of CO emissions: Evidence from top 20 highest emitting countries.

Carbon dioxide (CO) is the most prevalent greenhouse gas that triggers climate change, which in turn leads to catastrophic effects on trade, business, human health, and other areas. Understanding the characteristics and tendency of CO emissions will improve policy making and mitigation strategies. Understanding the linearity or nonlinearity and convergence or divergence of CO emissions is essential for selecting appropriate modeling techniques and for designing reliable policies.