Evidence from the DARE-RC Programme
Geographical scope: Punjab
What is the context?
Managing teacher postings across a school system the size of Punjab – 332,000 teachers, 48,000 schools, and 12 million students – is one of the most consequential yet under-examined levers of education policy in Pakistan. Where a teacher is posted determines not just their career trajectory, but the quality of schooling available to children in some of Pakistan’s most disadvantaged communities (Zafar et al., 2025). In the past, Punjab’s teacher transfer system was opaque, discretionary, and vulnerable to corruption. Local administrative “gatekeepers” controlled transfer files, enabling widespread rent-seeking: teachers with political connections or resources secured postings in desirable urban schools, while teachers with fewer resources had limited chances of transferring to their preferred posts (Bari et al., 2013).
In 2019, Punjab introduced the e-Transfer policy whereby an objective, points-based mechanism replaced opaque, discretionary transfers with a rule-bound, voluntary process designed to ensure school continuity. The policy was operationalised through an algorithm-based web-enabled platform that automated the transfer policy rules. Teachers can browse vacancies all across the province, read the scoring criteria, and apply for transfers online. The system has since processed over 288,000 applications and enabled more than 115,000 actual transfers. This policy brief draws on the first rigorous evaluation of the e-Transfer system, combining five years of administrative data (2019–2024) with qualitative research across five districts, to assess what works, what does not, and what needs to change.
What did we learn?
● Punjab’s e-Transfer Policy (2019) is a governance success of replacing a questionable system of patronage and discretionary transfers and eliminating the influence of local administrative gatekeepers. It has introduced an efficient and transparent, points-based system of teacher transfers, giving hundreds of thousands of teachers fair and accessible careers.
● The e-Transfer system has been readily adopted: 90% schools have seen at least one teacher arrive/depart, increasing teacher mobility by 59%, while over 30% of the entire teaching workforce have completed transfers. Stakeholders, especially female teachers, strongly prefer the new system because it is transparent and merit-based, and does not require them to navigate travel, bribery, and informal networks.
● While it is celebrated for its success, the e-Transfer system needs urgent reform because it is deepening structural inequality; transfers caused a net loss of 10,250 teachers from rural schools and their posts remained vacant for 9-16 months on average. This flight to better-resourced, high literacy districts is draining teachers from schools that need them most.
● The e-Transfer policy needs to be considered alongside the Teacher Rationalisation Policy 2025: e-Transfer handles voluntary movement while rationalisation corrects the imbalances caused by this by moving teachers from overstaffed to understaffed schools. However, friction can arise if some teachers use the e-Transfer system to move to a school voluntarily, but others already in the school are moved out involuntarily through a compulsory rationalisation order.
● The e-Transfer policy needs to transition from a ‘transfer platform’ to a ‘workforce-management system’ that combines teacher incentive structures, recruitment pipelines, performance systems, and learning outcome targets. This is necessary to ensure that the efficient transfer system also maintains equity.
● Policymakers can address operational gaps through reforms such as restricting transfer timings to holidays and creating a substitute teacher pool. They may introduce career incentives for rural service, caps/quotas for teacher outflows, and change scoring criteria for transfers to better balance individual preference with systemic need. They can also undertake systemic reforms, like integrating teacher and school performance data within the e-Transfer system.
How did we do it?
The study uses a mixed-methods design. The quantitative strand examines system-wide transfer records covering every application submitted and every transfer decision made since 2019. The analysis of the administrative data is then used to draw interesting cases of schools and teachers for in-depth semi-structured interviews. The qualitative strand includes interviews of key informants who designed and operated the e-Transfer system, Focus Group Discussions (FGDs) with district education officers (AEOs, DDEOs/DEOs), as well as interviews with head teachers and teachers in 16 schools across five districts.