ERF 27th Annual Conference
Dynamic Governance of the First Wave of Covid-19 in Tunisia: An Interoperability Analysis
No.
ERF27_43
Publisher
ERF
Date
May, 2021
Topic
I14 Health and Inequality
H1. Structure and Scope of Government
C4. Econometric and Statistical Methods
C5. Econometric Modeling
This paper aims to propose an interoperability index of the measures taken and adjusted by the Tunisian government during the first wave of coronavirus Covid-19. The concept of interoperability is defined in this research as the ability of measures, public policies or programs having common interests or objectives to be achieved, to operate together. In the first part of this research, we intend to present the process of making decision as a revised and adjusted process in continuous upgrading, based on the dynamic governance process in times of crisis. In the second part, we estimate an Index that records the strictness of government policies in each sub-period and a degree of interoperability between the Tunisian pandemic responses against covid-19 using the sub-periods instantiations. Our empirical findings show that pandemic management strategy in Tunisia, during the first wave of Covid-19, has been adjusted by adding new pandemic policies and changing the stringency levels over time. After estimating the interoperability index, we found that the measures taken early in a sub-period interact directly with the next successive sub-period in the decision process, but they interact indirectly with other successive sub-periods. Furthermore, there is clear evidence that Pandemic crisis cannot be managed or defeated with one single measure or policy even through a highest stringency level. but it was managed with several policy responses which inter-react together overtime.
Research Associates
Khaled Nasri
Researcher, Faculty of Economic Sciences and Management...
Authors
Houda Boubaker
Assistant Professor, Mediterranean School of Business, South...
Authors
Nacef Dhaouadi
Assistant Professor and Head of Management Department...