Jagrič Timotej, Fister Dušan, Jagrič Vita
Institute of Finance and Artificial Intelligence, Faculty of Economics and Business, University of Maribor, Razlagova 14, SI-2000 Maribor, Slovenia.
Healthcare (Basel). 2022 Feb 7;10(2):315. doi: 10.3390/healthcare10020315.
Governments around the world are looking for ways to manage economic consequences of COVID-19 and promote economic development. The aim of this study is to identify the areas where the application of economic policy measures would enhance the resilience of societies on epidemic risks. We use data on the COVID-19 pandemic outcome in a large number of countries. With the estimation of multiple econometric models, we identify areas being a reasonable choice for economic policy intervention. It was found that viable remediation actions worth taking can be identified either for long-, mid-, or short-term horizons, impacting the equality, healthcare sector, and national economy characteristics. We suggest encouraging research and development based on innovative technologies linked to industries in healthcare, pharmaceutical, and biotech, promoting transformation of healthcare systems based on new technologies, providing access to quality healthcare, promoting public healthcare providers, and investing in the development of regional healthcare infrastructure, as a tool of equal regional development based on economic assessment. Further, a central element of this study, i.e. the innovative identification matrix, could be populated as a unique policy framework, either for latest pandemic or any similar outbreaks in future.
世界各国政府都在寻找应对新冠疫情经济后果并促进经济发展的方法。本研究的目的是确定经济政策措施的应用能够增强社会应对疫情风险韧性的领域。我们使用了大量国家新冠疫情结果的数据。通过估计多个计量经济模型，我们确定了适合经济政策干预的领域。研究发现，无论是长期、中期还是短期，都能找到值得采取的可行补救措施，这些措施会影响公平性、医疗保健部门和国民经济特征。我们建议鼓励基于与医疗、制药和生物技术行业相关的创新技术进行研发，推动基于新技术的医疗保健系统转型，提供优质医疗服务，促进公共医疗服务提供者的发展，并投资于区域医疗基础设施建设，作为基于经济评估的区域均衡发展工具。此外，本研究的核心要素，即创新识别矩阵，可以作为一个独特的政策框架进行填充，无论是针对最新的疫情还是未来任何类似的疫情爆发。
