This ranking focuses on universities’ role as engines for economic growth and their responsibilities as employers. It explores institutions’ economic research, their employment practices and the share of students taking work placements.
View the methodology for the University Impact Rankings 2019 to find out how these data are used in the overall ranking.
Research on economic growth and employment (27%)
- Proportion of papers in the top 10 per cent of journals as defined by Citescore (14%)
- Number of publications (13%)
This focuses on research that is relevant to economic growth and employment, measuring the proportion of publications in the top 10 per cent of journals and the volume of research produced.
The data are provided by Elsevier’s Scopus dataset, based on a query of keywords associated with SDG 8 (decent work and economic growth). It includes all indexed publications between 2013 and 2017. The data are normalised across the range using z-scoring.
Employment practices (23.2%)
- Payment of a living wage to staff and faculty (3%)
- Recognition of union and labour rights (3%)
- Policies on discrimination in the workplace (3%)
- Policies against modern slavery, forced labour, human trafficking, and child labour (3%)
- Guarantees of equal standards for outsourced labour (3%)
- Policy around pay scale equity and gender pay gaps (3%)
- Commitment to tracking and addressing issues around pay scale equity and gender pay gaps (4%)
- Processes for employees to appeal decisions (1.2%)
We asked for evidence on a wide range of employment practices and whether these policies also covered outsourced services and employment.
The data and evidence for these metrics were provided directly by universities. The evidence was evaluated and scored by Times Higher Education and is not normalised.
Proportion of students taking work placements (23%)
To understand if universities are preparing students for the world of work we asked for the number of students with an employment placement of more than a month required as part of their studies, divided by the total number of students. All data are provided as full-time equivalents.
The data and evidence were provided directly by universities. The data are normalised across its range using z-scoring.
Proportion of employees on secure contracts (26.8%)
The casualisation of the university workforce is a growing concern so we asked universities to supply the number of employees (both academic and non-academic) on contracts of more than 24 months, divided by the total number of employees. All numbers are provided as full-time equivalents. This explicitly excludes short term contracts required to cover for maternity or paternity leave.
The data and evidence were provided directly by universities. The data are normalised across its range using z-scoring
When we ask about policies and initiatives, our metrics require universities to provide the evidence to support their claims. Evidence is evaluated against a set of criteria and decisions are cross validated where there is uncertainty. Evidence is not required to be exhaustive – we are looking for examples that demonstrate best practice at the institutions concerned.
Unless otherwise stated, the data used refer to the closest academic year to January to December 2017.
Universities must teach undergraduates and be validated by a recognised accreditation body to be included in the ranking.
Institutions provide and sign off their institutional data for use in the rankings. On the rare occasions when a particular data point is not provided, we enter a value of zero.
The methodology was developed in conjunction with our partners Vertigo Ventures and Elsevier, and after consultation and input from individual universities, academics, and sector groups.
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