This paper applies data envelopment analysis (DEA) to assess the efficiency, technical and scale, of both departments and faculties at University of Salerno in the South of Italy. Particular attention has been paid on two main activities, teaching and research, and on two large groups, Science and Technology (ST) sector and Humanity and Social Science (HSS) sector. The findings, based on data from 2005 to 2009, suggest that the ST sector is more efficient in terms of quality of research than the HSS sector, that instead achieves higher efficiency in teaching activities. The efficiency estimates strongly depend on the output specification, given that the use of several quality proxies as output, such as three research productivity indices (as performance indicators of research quality) and two teaching productivity indices based on student questionnaires (as performance indicators of teaching quality) reduces the performance and its differentials for both research and teaching activities. The Malmquist index is calculated to measure changes in productivity. A bootstrap technique is also used to provide confidence intervals for efficiency scores and to obtain more accurate estimates.

Measuring teaching and research efficiency in higher education using data envelopment analysis. A case study from the University of Salerno

BARRA, CRISTIAN;ZOTTI, Roberto
2013-01-01

Abstract

This paper applies data envelopment analysis (DEA) to assess the efficiency, technical and scale, of both departments and faculties at University of Salerno in the South of Italy. Particular attention has been paid on two main activities, teaching and research, and on two large groups, Science and Technology (ST) sector and Humanity and Social Science (HSS) sector. The findings, based on data from 2005 to 2009, suggest that the ST sector is more efficient in terms of quality of research than the HSS sector, that instead achieves higher efficiency in teaching activities. The efficiency estimates strongly depend on the output specification, given that the use of several quality proxies as output, such as three research productivity indices (as performance indicators of research quality) and two teaching productivity indices based on student questionnaires (as performance indicators of teaching quality) reduces the performance and its differentials for both research and teaching activities. The Malmquist index is calculated to measure changes in productivity. A bootstrap technique is also used to provide confidence intervals for efficiency scores and to obtain more accurate estimates.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11386/4622858
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