Abstract
This paper aims to investigate the effects of environmental sources and health statistics on economic growth and other development indicators of interest. With population growth, urbanization, and industrialization of economies, the built environment for human health has emerged as an important and growing driver in interdisciplinary research and evidence-based policy development, improving a country’s growth prospects and the standard of living. A compressed structural Panel Vector Autoregression is used to address these issues. Methodologically, a hierarchical semiparametric Bayesian approach is involved to reduce the dimensionality, overtake variable selection problems, and model stochastic volatility. Policy-relevant strategies are also addressed to investigate causal relationships between sustainability indicators and economic growth.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: 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.
