COVID-19 pandemic resilience: an analysis of firm valuation and disclosure of sustainability practices of listed firms

Purpose: This paper aims to investigate the effect of firms' sustainability practices on firm performance and valuation during the COVID-19 pandemic. Design/methodology/approach: Using a sample of Australian listed firms from 2011 to 2021, the authors perform textual analysis on sustainability practices from annual reports and sustainability report disclosures and include this variable in various regression models that assess firm valuation. The authors also use propensity score matching and Heckman two-stage regression methodology to address endogeneity concerns. Findings: The authors find that firms disclosing sustainability practices exhibit higher market valuations relative to other firms. Specifically, loss-making firms exhibit higher market valuation during the COVID-19 crisis relative to prior period. The authors also observe a negative association between sustainability practices and firm performance proxied by return on assets. The findings suggest that engagement in sustainable practices helps loss-making firms remain resilient during the pandemic. In addition, the authors find that the positive relation between sustainability practices and firm value is stronger among firms with a higher level of annual report readability. Originality/value: Considering the conflicting evidence in the literature on the economic benefits of sustainability practices, this study takes advantage of the heterogeneity in corporate practices and provides empirical evidence that a firm's sustainability practices can build economic resilience during the COVID-19 pandemic crisis. The authors believe the findings of the study is timely in informing the regulators and standard-setters on changes in reporting required to increase sustainability in the business practices. © 2022, Emerald Publishing Limited.

A review of the blue economy, potential, and opportunities in seven Caribbean nations pre-COVID-19

Caribbean countries face many challenges to effectively implement and benefit from the blue economy. This study synthesized current available information from the literature about the main blue economy activities in the Bahamas, Barbados, Belize, Guyana, Jamaica, Trinidad and Tobago, and Suriname, prior to the COVID-19 pandemic, to highlight their value in the context of blue economic recovery. This timestamp of data provides a point of comparison to understand the vulnerability of blue economy sectors to external shocks. The top performing sectors prior to the pandemic were shipping and tourism, both of which were significant contributors to the GDP. The other sectors (e.g. fisheries, aquaculture, pharmaceuticals, etc.) in some countries were well established and in others, at a minimum, displayed potential for continued development. To valorize the blue economy in a post pandemic recovery, there are three core areas of opportunity: sustainable resource extraction and production;cultivated economic development;and improved ecosystem economic valuations. Harnessing these opportunities will require a transition from a traditional ocean economy towards a coordinated blue economy, including the adoption of effective governance and sustainability principles, improved social, economic, and environmental valuations, and sustainable financing, as well as a more regional coordinated approach to the management of resources.

The application of image processing for monitoring student's attention level during online class

With the COVID-19 pandemic still causing the world to be quarantined in their house to prevent the spread of the virus, this means online classes are still the main method of conducting classes. This project aims to help lecturers monitor the students during class as they are having problems checking whether the students are paying attention or not. This project uses the student's facial features to determine their attention level using two different coding algorithm Viola-Jones and Sobel edge. These two algorithms help to determine what kind of facial expression that the students are making. The Viola-Jones algorithm detects and captures the student's facial features such as eyes and mouth while the Sobel edge algorithm detects the edges of the facial features to determine whether the eyes and mouth are open or closed. With the data collected it will run through the database to determine the student's attention level and inform the lecturer. © 2021 Institute of Physics Publishing. All rights reserved.

Increased personal protective equipment litter as a result of COVID-19 measures

Use of personal protective equipment (PPE) increased during the COVID-19 pandemic to reduce virus transmission. Here, we quantitatively analyse emergence of PPE and COVID-19-related litter over 14 months for 11 countries using the litter collection application Litterati. The proportion of masks in litter increased by >80-fold as a result of COVID-19 legislation, from <0.01% to >0.8%. Gloves and wipes, more prevalent at similar to 0.2% of litter before the pandemic, doubled to 0.4%, but this has since fallen. Glove litter increased in the initial stages of the pandemic but fell after the introduction of facemask policies, whereupon there was an increase of facemask litter. National COVID-19 policy responses and international World Health Organization announcements and recommendations are a probable driver of PPE litter dynamics, especially the implementation of facemask policies. Waste management should be incorporated in designing future pandemic policies to avoid negative environmental legacies of mismanaged PPE.