This study is an attempt to explain the nexus between health expenditures, GDP, human development index (HDI), CO2 emissions (COEM), renewable energy (RENE), financial development (FD) and electricity consumption (EC) using data from 2000Q1 to 2014Q4 for Brazil, India, China and South Africa. The study applies CIPS and CADF to determine the integration order. The tests confirmed the unique order of integration. The study further uses the Westerlund panel cointegration, which suggests the existence of a long-run relationship. Moreover, the panels dynamic ordinary least squares (DOLS) and fully modified ordinary least squares (FMOLS) are applied to ascertain the long-run elasticity. The health expenditure and electricity consumption affect the COEM positively. Moreover, HDI and RE affect COEM negatively. The study further confirms the existence of an N-shaped EKC in the long run. The pairwise Dumitrescu and Hurlin, Econ Model 29:1450-1460, (2012) test is used to uncover the direction of the association between the variables. The findings obtained from DH confirm a bidirectional causality between HDI and FD. Likewise, another bidirectional causal relationship has also been found between FD and EC. The findings of our study advocate policies in the direction of HDI and health expenditure by adopting RENE. This study highlights the importance of RENE, which can facilitate a reduction in carbon emissions and decreasing health expenditures. Moreover, the financial sector needs to be improved to create entrepreneurship opportunities for the public in improving the HDI in ensuring sustainable development.
With the growing nature of the ecological footprint, research studies focus on exploring new determinants of environmental degradation. Moreover, the role of natural resources and energy consumption in environmental quality has gained much attention in the literature. However, tourism raises the demand for energy consumption and extraction of natural resources. This research study investigates the influence of natural resources, tourism, and renewable energy in MINT countries, using novel Cross-Sectional Auto Regressive Distributive Lag (CS-ARDL) methodological techniques and employing yearly data from 1995 to 2018. The study also applied recently developed Kónya (Econ Model 23:978-992, 2006) causality to identify the causal relationship between the variables of the heterogenous panel. The result shows that tourism, natural resources, and economic growth are positively associated with the ecological footprint in the long-run. However, renewable energy consumption negatively impacts ecological footprint in both in short-run and the long-run. Further, the study explored a bidirectional causality between economic growth and ecological footprint in MINT countries. Finally, based on the empirical results, the study recommends that the authorities in MINT countries revisit their tourism, natural resources, and economic activities policies to enhance the environmental quality and reduce the ecological footprint.