The Impact of Performance-Based Funding on Higher Education Institutions

This research evaluates the impact of performance-based funding (PBF) on higher education institutions in Pakistan, employing a mixed-methods framework. The researchers selected 12 universities across four provinces (public and private) on which the Higher Education Commission (HEC) had acted regarding the 2019-2023 PBF implementation policy. The researchers collected and analyzed documents and primary data for the study from 360 university administrators, faculty, and HEC officials through a survey, as well as in-depth and focus group interviews. According to published research output, PBF implementation was reported to increase the graduation rate by 43%, as well as 28% and 35% increases in faculty qualifications. However, the qualitative data collected highlighted issues of compliance, as the PBF facilitators noted a lack of academic autonomy, excessive administrative burden, and institutional gaming. The qualitative data revealed the themes of strategic compliance, sustainability, the trade-off between quality and quantity, resource allocation, and stakeholder opposition. Changes to PBF dictated a positive shift in institutional performance. Thus, policy change should target the periphery to mitigate the unintended adverse effects of PBF on the long-term enhancement of quality within educational institutions.

Authors

Publication Details

Journal
ACADEMIA International Journal for Social Sciences
Published
2025-09-28
DOI
https://doi.org/10.63056/acad.004.03.0855
Primary Topic
Human Resource Development and Performance Evaluation
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Impact of Performance-Based Funding on Higher Education Institutions

Shakeel Ahmed, Mohammad Zubair Khan, M Bibi, Saira Khurram et al.
ACADEMIA International Journal for Social Sciences
Human Resource Development and Performance Evaluation
article

The Impact of Performance-Based Funding on Higher Education Institutions

Shakeel Ahmed, Mohammad Zubair Khan, M Bibi, Saira Khurram, Qurratul ain Leghari
article en

Abstract

This research evaluates the impact of performance-based funding (PBF) on higher education institutions in Pakistan, employing a mixed-methods framework. The researchers selected 12 universities across four provinces (public and private) on which the Higher Education Commission (HEC) had acted regarding the 2019-2023 PBF implementation policy. The researchers collected and analyzed documents and primary data for the study from 360 university administrators, faculty, and HEC officials through a survey, as well as in-depth and focus group interviews. According to published research output, PBF implementation was reported to increase the graduation rate by 43%, as well as 28% and 35% increases in faculty qualifications. However, the qualitative data collected highlighted issues of compliance, as the PBF facilitators noted a lack of academic autonomy, excessive administrative burden, and institutional gaming. The qualitative data revealed the themes of strategic compliance, sustainability, the trade-off between quality and quantity, resource allocation, and stakeholder opposition. Changes to PBF dictated a positive shift in institutional performance. Thus, policy change should target the periphery to mitigate the unintended adverse effects of PBF on the long-term enhancement of quality within educational institutions.

ACADEMIA International Journal for Social SciencesVol. 4(3)
Openalex Percentile: Top 70%
Human Resource Development and Performance Evaluation
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.