Abstract
The primary focus of the analysis is to investigate the impact of emergency response management and environmental risk on natural disasters by controlling the variables of national income and financial development. To investigate the model empirically, we have employed the quantile autoregressive distributed lag model that estimates the short- and long-run estimates across various quantiles. The long-run estimates of emergency response management are negative and significant only at higher quantiles, i.e., from 60 to 95th quantiles. In the short run, emergency response management's estimated coefficients are negative and significant from 70 to 95th quantiles. Environmental risk shows a significant positive correlation with natural disasters across quantiles, while national income and financial development decrease natural disasters in the long run. Furthermore, we observed the asymmetric impact of emergency response management on natural disasters in both the short and long run.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
More From: Environmental science and pollution research international
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.