Announcing the Final Examination of Ruechagorn Trairatananusorn for the degree of Doctor of Philosophy in Public Affairs
This study investigated the network characteristics and network effectiveness of Thailand’s provincial COVID-19 response networks in Samut Sakhon province. The first part of the study analyzed descriptive network characteristics data of 28 respondents and 71 network nodes in district-level response and provincial-level response to identify key network actors and patterns of response in policy decision-making, policy implementation, resources allocation, trust-oriented networks, and aggregated networks. The second part analyzed the relationship between network characteristics and network effectiveness using QAP correlation and MR-QAP regression, which network effectiveness includes the perceived network effectiveness from the respondents and the aggregated resources allocation networks.
Descriptive findings showed that the network structures in district-level response and provincial-level response are relatively centralized by the provincial and district actors, while the local government actors and nongovernmental actors clustered around the provincial and district actors, which there was no significant pattern difference between the urban district and the rural districts. Explanatory findings from the QAP correlation generally showed that policy institutional rules networks and actual policy process networks have a positive relationship with resources allocation networks in district-level networks and provincial-level networks. There is no consensus in terms of the relationship between other types of networks and network effectiveness measurements in district-level networks and provincial-level networks using QAP correlation and MR-QAP regression.
Recommendations were made for policy implications and the modification and continuation for the future research on comparative COVID-19 response networks.
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