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A university’s brand is a key competitive advantage in higher education (HE). This study examines the university's reputation’s intermediary impact on core services (emotional environment, perceived faculty and course suitability) and brand loyalty in private universities in Iran.

A quantitative method was used to achieve research objectives. The data collected from students enrolled in major private universities in the capital of Iran were analyzed to test the proposed model, both directly and indirectly, using structural equation modeling (SEM).

The findings confirmed all of the hypothesized relationships. Prominently, the core service construct (emotional environment, perceived faculty and course suitability) was found to be significantly affecting the university brand reputation. The study found evidence for the impact of university reputation on students' loyalty. Findings also indicated the presence of several indirect relationships among the considered dimensions.

Current research offers implications for universities that are met with the perpetual challenge of survival in the competitive HE marketplace. Findings from the study not only help build theory on university brand loyalty but also make an essential contribution towards guiding managers in developing effective strategies by building reputation and loyalty by concentrating on the most crucial determinants.

Although research in HE marketing is growing, the effects of university core services on building loyalty have not garnered attention, which is theoretically a vital construct. The paper presents a new framework to realize university brand loyalty with the help of integrated relationships among select dimensions in the setting of an emerging HE market.

This paper aims to investigate the effects of economic growth, population density and international trade on energy consumption and environmental quality in India.

Taking annual data of 1971-2011, autoregressive distributed lag bounds testing technique is applied to explore the long run link between the series. The Granger causality test is used to determine the direction of causality between the variables.

The obtained results confirm the cointegration of variables, and economic growth and population density are found to have significant positive effects on energy consumption in both the short and long runs. CO₂ emissions are also positively and significantly affected by population density and energy consumption, and negatively affected by economic growth.

The paper is original and valuable in the sense that it has considered two relevant additional explanatory variables, namely, population density and trade openness, which got little attention in the past. This research is an improvement over the previous studies because it has looked at the separate effects of explanatory variables on energy consumption, in addition to the effects on carbon emissions. Therefore, the findings of this research are more reliable because this adopted methodology is better and extensive, and the authors have properly addressed the issue of omitted variable bias.