以學生為本位之大學商學院之表現評估－保證區域資料包絡分析法之應用

Measuring the Student-base Performance of College of Business Using AR/DEA Model

10.6277/ter.2008.364.3

孔維新(Wei-Hsin Kong)；傅祖壇(Tsu-Tan Fu)

學生本位指標 ； 績效評估 ； 高等教育 ； 保證區域資料包絡分析法 ； student-based indicator ； performance evaluation ； higher education ； AR/DEA

經濟論文叢刊

36卷4期（2008 / 12 / 01）

483 - 514

繁體中文

本研究之主要目的在於，以台灣地區大學商學院爲對象，建構一個以學生爲本位的大學商學院表現評估模式。本研究使用商學院畢業生的就業市場成就與多元能力培養程度，來做爲績效衡量指標。本研究所使用的指標皆爲「加值(value-added)」指標，指標大小僅反映學院對提升學生薪資與能力的影響程度，不包括任何學院以外的影響因素。此外，爲了避免不合理的權數分配，本研究結合模糊層級分析法的專家調查結果與保證區域資料包絡分析法，來進行實證分析。實證結果發現，平均而言國立大學優於私立大學。但就個別學校來看，某些私立大學的績效優於國立大學。本研究的評估結果不但對於高等教育之決策者在進行管理決策時相當有用，對於即將進入大學就讀的學生在選擇未來就讀學校時亦相當重要。

The purpose of this study is to construct a student-basesd performance evaluation model for business colleges in Taiwan. College graduates' job market results and their multi-dimensional ability developed in school are used as performance indicators. The value-added forms of these indicators are employed to assess the pure impact of school on student's performance. To avoid impractical relative indicator weights, we incorporate experts' weights from an AHP survey into the assurance region data envelopment analysis (AR/DEA) for empirical analysis. Empirical results show that, on average, public schools outperform private schools. However, we also find that some private schools perform better than average public schools. While the evaluation results of this research will be useful to higher education authorities for their management decisions, the results are also important to prospective college students in making their college selection decisions.

1. 王媛慧、李文福(2006)。我國大學院校技術效率之研究－資料包絡分析法的應用。輔仁管理評論，13(1)，163-185。
   連結：
2. 盧永祥、傅祖壇(2007)。產出品質、組織特性與臺灣高等技職院校之經營效率。管理評論，26(2)，1-21。
   連結：
3. Abbott, M.,Doucouliagos, C.(2003).The efficiency of Australian universities: A data envelopment analysis.Economics of Education Review,22(1),89-97.
4. Athanassapoulos, A. D.,Shale, E.(1997).Assessing the comparative efficiency of higher education institutions in the UK by means of data envelopment analysis.Education Economics,5(2),119-134.
5. Bessent, A. M.,Bessent, E. W.(1980).Determining the comparative efficiency of schools through data envelopment analysis.Educational Administration Quarterly,16(2),57-75.
6. Bloom, B. S. (Ed.)(1956).Taxonomy of Educational Objectives: The Classification of Education Goal. Handbook 1: Cognitive Domain.New York:Mckey.
7. Bretz, Jr, R. D.(1989).College grade point average as a predictor of adult success: A meta-analytic review and some additional evidence.Public Personnel Management,18,11-22.
8. Bryk, A. S.,Raudenbush, S. W.(1992).Hierarchical Linear Models: Applications and Data Analysis Methods.Sage, CA:Newbury Park.
9. Casu, B.,Thanassoulis, E.(2006).Evaluating cost efficiency in central administrative services in UK universities.Omega,34,417-426.
10. Charnes, A.,Cooper, W. W.,Rhodes, E.(1978).Measuring the efficiency of decision making units.European Journal of Operational Research,2,429-444.
11. Chen, T. Y.(2002).Measuring firm performance with DEA and prior information in Taiwan`s banks.Applied Economics Letters,9(3),201-204.
12. Cherchye, L.,Abeele, P. V.(2005).On research efficiency: A microanalysis of Dutch university research in economics and business management.Research Policy,34(4),495-516.
13. Coelli, T.,Rao, D. S. P.,Battese, G. E.(1998).An Introduction to Efficiency and Productivity Analysis.Norwell, MA:Kluwer Academic.
14. Cooper, W. W.,Seiford, L. M.,Tone, K.(1999).Applications, References and DEA-Slover Software.Norwell, MA:Kluwer Academic.
15. Doyle, J.,Green, R.(1994).Efficiency and cross-efficiency in DEA: Derivations, meanings and uses.Journal of the Operational Research Society,45(5),567-578.
16. Entani, T.,Ichihashi, H.,Tanaka, H.(2004).Evaluation method based on interval AHP and DEA.Central European Journal of Operations Research,12,25-34.
17. Gerhart, B.(1990).Gender differences in current and starting salaries: The ole of performance, college major, and job title.Industrial and Labor Relation Review,43(4),418-443.
18. Grosskopf, S.,Hayes, K. J.,Taylor, L. L.,Weber, W. L.(1999).Anticipating the consequences of school reform: A new use of DEA.Management Science,45(4),608-620.
19. Hashimoto, K.,Cohn, E.(1997).Economies of scale and scope in Japanese private universities.Education Economics,5(2),107-115.
20. Hill, P. W.,Rowe, K. J.(1996).Multilevel modeling in school effectiveness research.School Effectiveness and School Improvement,7,1-34.
21. Hunt, S. J.(1963).Income determinants for college graduates and the return to educational investment.Yale Economic Essays,3,305-357.
22. Jeremy, A. L.,Lovell, C. A. K.,Murray, C. J. L.,Evans, D. B.(2004).World health system performance revisited: The impact of varying the relative importance of health system goals.BMC Health Services Research,4(19),1-8.
23. Johnes, J.(2006).Measuring efficiency: A comparison of multilevel modeling and data envelopment analysis in the context of higher education.Bulletin of Economic Research,58(2),75-104.
24. Johnes, J.,J. Johnes,G. Johnes (eds.)(2004).International Handbook on the Economics of Education.Edward Elgar.
25. Johnes, J.,Johnes, G.(1993).Measuring the research performance of UK economics departments: An application of data envelopment analysis.Oxford Economic Papers,45(2),332-347.
26. Kao, C.(1994).Evaluation of junior colleges of technology: The Taiwan case.European Journal of Operational Research,75,43-51.
27. Meyer, R. H.(1997).Value-added indicators of school performance: A primer.Economic Education Review,16(3),283-301.
28. Ruggiero, J.(2000).Nonparametric estimation of returns to scale in the public sector with an application to the provision of educational services.Journal of the Operational Research Society,51,906-912.
29. Saaty, T. L.(1980).The Analytic Hierarchy Process.New York:McGraw-Hill.
30. Seiford, L. M.,Zhu, J.(1998).Identifying excesses and deficits in Chinese industrial productivity (1953–1990): A weighted data envelopment analysis approach.Omega,26(2),279-296.
31. Solmon, L. C.,L. C. Solmon,P. J. Taubman (eds.)(1973).The definition and impact of college quality.Does College Matter,77-105.
32. Sun, S.(2004).Assessing joint maintenance shops in the Taiwanese army using data envelopment analysis.Journal of Operations Management,22,233-245.
33. Takamura, Y.,Tone, K.(2003).A comparative site evaluation study for relocating Japanese government agencies out of Tokyo.Socio-Economic Planning Sciences,37(2),85-102.
34. Thomposon, R. D.,Singleton, F. D.,Thrall, R. M.,Smith, B. A.(1986).Comparative site evaluations for locating a high-energy physics lab in Texas.Interfaces,16,35-49.
35. Zahedi, F.(1986).The analytic hierarchy process-a survey of method and its application.Interface,16(4),96-108.
36. Zheng, H. Y.,Stewart, A. A.(2000).Assessing the effectiveness of public research universities: Using NSF/NCES data and data envelopment analysis technique.AIR 2000 Annual Forum Paper.
37. 林容萱(2003)。台灣地區科技大學效率性之分析：資料包絡分析法的應用。國民教育研究集刊，9，179-205。
38. 張春興(1996)。教育心裡學。台北:東華書局出版。
39. 劉子鍵、林原宏(1997)。階層線性模式之理論與應用：以「影響自然科成績之因素的研究」爲分析實例。教育與心理研究，20，1-22。

1. 張良政(2022)。以人力銀行網站資料比較國內資訊管理學系學習與薪資表現。管理資訊計算，11(1)，148-161。
2. 鄭保志、黃若茵(2011)。錄取率與試題鑑別度對異質考生努力程度及其效用之影響。經濟論文，39(4)，499-533。