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This paper aims to investigate potential impact of internal carbon pricing in emission reduction in Higher education institutions (HEIs). Over the past century, human activities have increased greenhouse gas (GHG) emissions in the atmosphere. If GHG emissions continue their upward trend, this will disturb the natural balance and trigger abrupt changes in all components of the climate system. Limiting climate change would require a substantial and sustained reduction in GHG emissions from all sectors. HEIs, as major emitters, indeed need to respond to the demand to become more sustainable by making practical changes to the way their institution is run.

Using emission data associated with campus waste, this study describes how HEIs can take the lead on emission reduction through the implementation of carbon pricing.

Specifically, this study estimates the cost of emissions from campus waste to illustrate the primary benefits of internal carbon pricing for scaling up campus carbon neutrality initiatives and describes practical implications for enhancing sustainable waste management in a university setting. This study will contribute to identifying the potential for emissions reduction through waste management using a carbon pricing mechanism in university settings.

While carbon pricing has long been regarded as an alternative approach to tackling carbon pollution, it has not been thoroughly explored with regard to waste management.

This paper aims to explore systematic strategies implemented at the School of Design, X University, to use materials more sustainably and responsibly in the design studios.

Printing and prototype fabrication are a vital facet of design education. These physical products which consume vast quantities of materials are key to evaluating ideas, and for training students to effectively communicate design intent to their professors and future clients. Despite the University’s initiatives for campus-wide sustainability efforts, waste generated from repeated design iteration is still a big problem in studio culture.

This effort between faculty, staff and students has initiated a sustained conversation about the excessive landfill waste generated by projects undertaken. Together, this paper aims to find ways in which the outcomes could be self-sustaining.

This research would be beneficial to anyone who plans to raise awareness and understanding of institutional waste management strategies at the university level.

The purpose of this study is to identify and evaluate supply chain strategies (SCSs) that drive financial performance to guide practitioners, especially in liquefied natural gas (LNG) networks, to review and adopt SCSs that drive competitiveness and value creation for investors.

Analytical hierarchy process (AHP) was deployed to prioritise SCSs according to their relative impact on financial performance in LNG networks. Interviews with experts were analysed using template analysis to establish latent drivers of financial performance specific to LNG networks.

Results support the significant role of SCSs in improving financial performance. Although findings prioritised collaborative strategy as the most important driver of financial performance in LNG networks, to fully optimise financial outcomes, all the SCSs should be implemented across LNG networks as no single strategy in isolation is a standalone driver of financial performance.

The AHP model provides a novel ranking for SCSs and measures to guide decision-makers. LNG practitioners may exploit the results to make informed decisions.

The study extends previous literature by proposing a framework and a new LNG empirical model that facilitates understanding of how SCSs contribute positively to financial performance and support practitioners in making strategic supply chain decisions.

This study aims to provide a meaningful comparison of airports’ performance and better understand the differences observed in the analysed airport performance by presenting a model to analyse the relationship between operational and financial performance and airport characteristics.

This study uses a quantitative analysis approach. The Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) and entropy weight were utilised to analyse 17 airports in three Airports Council International regions: Asia, Europe and North America. Through operational and financial factors, these sample airports identified the most efficiently operated airports from 2016 to 2019.

Overall, Asian airports were superior in operational and financial efficiency. Unlike operating performance, the sample airport’s financial and total performance results show a similar trend. There were no noticeable changes in operational factors. Therefore, differences in financial variables for each airport may affect the total performance.

This study provides insightful implications for airport policymakers to establish a standardised information disclosure foundation for consistent analysis and encourage airports to provide this information.

The adoption of Earnings Before Interest, Taxes, Depreciation, and Amortisation (EBITDA) to debt ratio and EBITDA per passenger, which had previously been underutilised in the previous study as financial factors, demonstrated differences between airports for airport stakeholders. In addition, the study presented a model that facilitates producing more intuitive results using TOPSIS, which was relatively underutilised compared to other methodologies such as date envelopment analysis.

This purpose of this study was to develop a 3D printer based on powder particle. The best degreasing and sintering process of a blank body was investigated to obtain a metal product with high precision and high surface finish. This process will greatly reduce the difficulty and cost of forming a complex metal product with high application value.

Stainless steel powder and polymer materials were mixed using a rubber mixing machine. The powders were granulated to prepare a mixed material. A powder feed 3D printer was used at low temperature (about 200°C) to print and degrease the body. A series of sintering experiments were performed to study the different sintering temperatures, and the physical and mechanical properties of the sample sintered under various conditions were compared to determine the best degreasing and sintering process.

The reaction at 1,370°C was the optimal route for the metal billet degreasing. The resulting metal products had fine structure and stable performance compared with the products with traditional powder metallurgy composition.

Most 3D printed metal powder materials rely on imports, which are expensive and increase the manufacturing cost. These drawbacks limit the application and development of metal 3D printing technology to a certain extent. The successful study of this molding method greatly reduces the difficulty and cost of forming complex metal products with high application value. This report will provide valuable guidance for sintering process and forming methods.