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This study examines socioeconomic and spatial factors and its influences on the outcomes of environmental-health through “multi-drug resistance tuberculosis” (MDR-TB) treatment regimes in China. For this purpose, a survival analysis is conducted by applying “multivariable Cox Proportional Hazard model” on secondary data starts from 2010 to 2019. The data set is consisting of six hundred and fifty five (655) TB patients from different hospitals of China. The findings of this study indicate us that there is no alteration in patient survival rates between the two treatment departments, hospital and ambulatory care. The spatial characteristics of time expenditure and medical expenditure are significantly correlated with “supporting distance bias methods” and “environmental health results”. On the other side, travel expenditures and male gender results show negatively associated with the “environmental-health outcome”. This study reveals with these remarks that Ministry of Health, China should take serious actions to control MDR-TB and launch a comprehensive policy with the help of WHO recommendation.

The main concern of this research is to inspect the dynamic nexus among the green international trade, green technological innovation, as well as green energy production (GEP). This investigation employs dynamic least square and fully modified least square for data inspection. The dataset includes spans the years 2004 to 2021 and pertains to a sample of seven South Asian nations. Moreover, the empirical findings demonstrate a unfavourable nexus between environmental foot print (EFP) and GEP. Conversely, green international trade and green technological innovation have also an unfavourable significant relationship with EFP. Therefore, these findings suggest several strategy suggestions in regard to the territories of South Asia in the light of exact discoveries: to subsidize businesses for the establishment of sustainable tasks for the development of renewable power sources.