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Efficiency in higher education institutions: an analysis of data envelopment analysis applications

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This abstract does not provide specific details about the research problem, methodology, or findings related to efficiency in higher education institutions or data envelopment analysis applications.

Abstract
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Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

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Do socially responsible higher education institutions contribute to sustainable regional growth and innovation?
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Purpose This study aims to analyse the efficiency of public higher education institutions (HEIs) through teaching and learning (T&L), research and technology (R&T) and social responsibility (SR) activities. It also aims to assess the external factors influencing the efficiency of T&L, R&T and SR, and influence of this efficiency on sustainable regional economic growth and innovation intensity. Design/methodology/approach The empirical approach is based on a two-step data envelopment analysis to compare the efficiency of 23 Portuguese public HEIs, using a Tobit regression, to assess the influence of the factors affecting HEI efficiency which in turn affects regional sustainability and innovation. Findings The results lead to the following conclusions: HEIs with better SR efficiency are situated in large urban centres; an insular location is positively associated with HEIs’ T&L and SR efficiency; HEIs’ T&L and SR efficiency positively influence regional gross domestic product (GDP); and HEIs’ R&T efficiency positively influences R&D in regional GDP. Practical implications This study offers implications in the domain of sustainable regional growth. The study recommends that the policies of HEIs should concentrate on developing activities that meet the needs of the region. It also emphasizes the need to invest in recruitment of qualified lecturers and researchers, and creation of relevant PhD positions. The study also emphasizes the need for government actions to consider the most disadvantaged regions and create infrastructure to attract new companies and people. Originality/value This study contributes to the existing literature on the efficiency of HEIs by considering the efficiency of not only T&L and R&T but also SR. It also analyses the influencers of both HEIs’ efficiency and regional development.

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Since 2008, there have been a growing number of social policies placed on UK higher education institutions (HEIs) to engage in reducing carbon emissions and meet self-imposed carbon reduction targets while producing graduates, publishing research papers and attracting research income. HEI managers thus face the challenging task of having to determine the optimal level between environmental performance and economic performance – from activities that generate income, to which we refer as overall efficiency. To that end, the current study measures the overall efficiency levels of UK HEIs from 2012/13 to 2018/19 using a slacks-based measure model that incorporates bad outputs. The study aims to determine the extent to which the optimal balance between environmental performance and economic performance has been achieved as evidenced by the efficiency of HEIs over the course of the sample period. The study also identifies factors associated with efficiency and provides policy recommendations. Over the study period, overall efficiency (incorporating the bad output of carbon emissions) initially fell and then rose in the last 2 years suggesting some optimism that carbon emissions management has improved since then. The second-stage analysis, which identifies factors associated with efficiency, suggests that the ratio of students to staff and HEIs in the Russell group is positively associated with the efficiency of inefficient HEIs. When both efficient and inefficient universities are considered, having an environmental management system is positively associated with efficiency, while the opposite is the case for having science, engineering and medicine disciplines and having carbon reduction targets.

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