How Can We Improve the Government's Research and Technology for Disasters and Safety?

Area of Science:

• Public Administration
• Science and Technology Policy
• Disaster Management

Background:

• Effective disaster and safety management relies on robust government research and technology (R&D).
• Understanding the drivers of R&D achievement is crucial for optimizing resource allocation and policy development in public safety.

Purpose of the Study:

• To explore factors influencing research and development (R&D) achievement in government disaster and safety initiatives.
• To identify direct and indirect relationships between R&D performance, professionality, environment, and overall R&D achievement.

Main Methods:

• Structural Equation Model (SEM) analysis.
• Data collected from 268 expert perspectives on government R&D in disaster and safety.

Main Results:

• R&D performance directly and significantly impacts R&D achievement (coefficient=0.429).
• R&D professionality (coefficient=1.124) and R&D environment (coefficient=0.354) indirectly influence R&D achievement.
• R&D professionality positively affects the R&D environment (0.964), which in turn positively impacts R&D performance (0.827).

Conclusions:

• Government disaster and safety policies should integrate findings on direct and indirect R&D factor relationships.
• Policymakers need to leverage the interconnectedness of R&D professionality, environment, and performance to enhance R&D achievement.