Public Health Risk Evaluation through Mathematical Optimization in the Process of PPPs

Mohammad Heydari; Kin Keung Lai; Victor Shi; Feng Xiao

Public Health Risk Evaluation through Mathematical Optimization in the Process of PPPs

2023

Mohammad Heydari | Kin Keung Lai | Victor Shi | Feng Xiao

The public sector is becoming increasingly appealing. In the context of declining public money to support health studies and public health interventions, public&ndash:private partnerships with entities (including government agencies and scientific research institutes) are becoming increasingly important. When forming this type of cooperation, the participants highlight synergies between the private partners and the public&rsquo:s missions or goals. The tasks of private and public sector actors, on the other hand, frequently diverge significantly. The integrity and honesty of public officials, institutions, trust, and faith in those individuals and institutions may all be jeopardized by these collaborations. In this study, we use the institutional corruption framework to highlight systemic concerns raised by PPPs affiliated with the governments of one of South Asia&rsquo:s countries. Overall analytical frameworks for such collaborations tend to downplay or disregard these systemic impacts and their ethical implications, as we argue. We offer some guidelines for public sector stakeholders that want to think about PPPs in a more systemic and analytical way. Partnership as a default paradigm for engagement with the private sector needs to be reconsidered by public sector participants. They also need to be more vocal about which goals they can and cannot fulfill, given the limitations of public financing resources.

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