Abstract

Increasing healthcare costs and aging demographics have attracted widespread attention from around the world. This research thus utilizes two measurements of proportion of R&D expenditure on health to GDP and health researchers per million inhabitants for 70 countries spanning 2001–2016 by panel fixed effects model. We incorporate GDP, education, corruption, pollution, urbanization, unemployment and current health expenditure as control variables to investigate the impacts of health innovation on disease burden. The conclusion illustrates that the health innovation could generate a relieved and non-linear lagged impact on disease burden. Next, we provide the differentiated evidence of health innovation inputs on disease burden from life cycle perspective. Furthermore, we carry out sub-samples of the Red Cross, religious and high welfare to examine the heterogeneity of utility of health innovation inputs on disease burden. Additionally, the evidence proves that right-wing parties and efficient governments tend to use health innovation resources effectively. Overall, alternative beneficial implications are offered in accordance with our results.

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 call

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.