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Purpose: This paper aims to assist higher education institutions (HEIs) in their decision-making process to define initiatives and foster research projects contributing to sustainable development (SD) and minimizing the deficits found in the municipalities. Design/methodology/approach: A documental analysis was performed to select HEIs and Brazilian regional development indicators. Then, the assessment of the sustainable and institutional performance of Brazilian municipalities that have HEIs consisted of three parts: clustering with an unsupervised machine learning model, ranking with a hybrid multi-criteria decision making method and visualization of sustainability performance with the dashboard. Findings: The critical analysis of institutional and sustainability indicators contributes to a more active role of HEIs in matters of social responsibility, with a more holistic view of the performance and quality of municipal education. Furthermore, this critical analysis creates a scenario where HEIs can develop public policy proposals in partnership with the government to mitigate the main issues identified. Social implications: With this study, HEIs will be able to direct their actions to minimize the deficits found in the municipalities, consolidating their social responsibility. Originality/value: This study proposes a new decision-support tool with a dashboard of indicators so that HEIs can foster research projects with a focus on regional SD. [ABSTRACT FROM AUTHOR]

Purpose – The purpose of this paper is to analyse the relationship between infrastructure and total factor productivity (TFP) in the four major Latin American economies: Argentina, Brazil, Chile, and Mexico. Design/methodology/approach – The authors hypothesise that an increase in infrastructure has an indirect effect on output by raising productivity. To assess this theory, the traditional Johansen methodology was used for testing the cointegration between TFP and physical measures of infrastructure stock, such as energy, roads, and telephones. The Lütkepohl, Saikkonen and Trenkler Test, which considers a possible level shift in the series and has better small sample properties, was applied to the same data set and the two tests were compared. Findings – The results do not support a robust long-term relationship between the series; the authors do not find strong evidence that cuts in infrastructure investment in some Latin American countries were the main reason for the fall in TFP during the 1970s and 1980s. Originality/value – The present paper addresses the empirical relationship between infrastructure and economic growth for Argentina, Brazil, Chile, and Mexico between 1950 and 2000, using new time series econometric methods finding new evidences on this relationship. [ABSTRACT FROM AUTHOR]