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The use of DEA methodology offers an objective and comprehensive assessment of multi-input, multi-output efficiency without relying on subjective weightings, providing a robust framework for evaluating research department performance.
Only 7.5% of the analyzed futures research institutes achieved comprehensive efficiency, indicating widespread issues in scaling and technical efficiency that hamper optimal resource utilization.
Excessive investment in human resources is a common problem among inefficient research institutes, implying that many firms have not optimized personnel allocation relative to their output.
A significant portion of firms demonstrated output deficiencies, particularly in the number and accuracy of investment strategies and research reports, which are critical to effective market support and price discovery.
Firms with increasing returns to scale are identified as under-investing, suggesting that strategic increments in research input could yield disproportionately better outputs and thus improve overall efficiency.
In contrast, several large or well-established firms with banking or securities backgrounds suffer from diminishing returns to scale due to overinvestment, highlighting the need for resource rebalancing to prevent waste.
The findings emphasize the importance of integrating value-based assessments of research output into compensation and promotion systems to incentivize quality and impact over sheer volume.
Recommendations include enhancing management capabilities within research institutes, strengthening financial oversight, and implementing regular input-output evaluations to better align resources with market demands.
Governmental support is advised to foster technology innovation, intellectual property development, and academic-industry-government collaboration, reinforcing the futures research ecosystem and its contribution to economic stability and growth.
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