一階篩選倍率的提高是否會影響個人申請分發的使用率？（以金融相關學系為例）

Will the increase in the first-stage screening rate affect the utilization rate of individual application distribution? (Taking finance-related departments as an example)

大學校系能否透過策略行為提高個人申請分配的使用率？校系普遍採取的策略行為如下：有的藉由將學系分成多個獨立組別招生或降低同級分超額篩選標準來實質增加學系的一階篩選倍率；有的利用數據分析或與考生私下互動來了解考生就讀意願，藉此提高學系的正取分發率。
本文使用單或多變量迴歸分析，研究114學年度之金融相關校系的策略行為與個申分發使用率的關係。本文發現，增加學系的一階篩選倍率可以顯著地正向影響參與學系二階甄選的考生人數，卻是非顯著地正向影響學系的個申分發使用率。而提升學系的正取分發率則可以顯著地正向影響學系的個申分發使用率。另外，校系間的個申分發使用率之差異，可被正取分發率與二階甄選考生人數所聯合解釋，解釋程度可以接近70%。
此處提醒，本文所得結果能否適用於金融以外的其他學系，以及能否適用於其他學年度的資料，尚須後續研究進一步探究。

Can university departments increase the utilization rate of individual application distribution through strategic behavior? The strategic behaviors commonly adopted by the departments are as follows: some departments increase the first-stage screening rate by dividing the department into multiple independent groups for admission or lowering the over-selection standard of the same score-grade; some departments use data analysis or private interaction with candidates to understand the candidates' willingness to study, thereby increasing the utilization rate of individual application allocation of the department.
This paper uses univariate and multivariate regression analysis to study the relationship between the strategic behavior of finance-related schools and the utilization rate of individual application distribution in the 114th academic year. This paper finds that increasing the first-stage screening rate of a department can significantly and positively affect the number of candidates participating in the department's second-stage selection, but it has a non-significant positive impact on the utilization rate of the department's individual application distribution. Increasing the distribution rate of formally admitted students can significantly positively affect the utilization rate of individual application allocations in departments. In addition, the difference in the utilization rate of individual application distribution between departments can be explained by the distribution rate of formally admitted students and the number of candidates participating in the second-stage selection, and the explanation degree can be close to 70%.
This article reminds us that whether the results obtained in this article can be applied to departments other than finance, as well as to data from other academic years, requires further research.