This paper explores the impacts of health pandemics on foreign direct investment (FDI) using the new world pandemic uncertainty index (WPUI). We investigate the effects of pandemics, including COVID-19, on FDI based on a sample of 142 economies and sub-samples (incomes and regions) from 1996 to 2019. The two-step system Generalised Method of Moments estimation of linear dynamic panel-data model (DPDGMM) is used in this study. The estimation results are robust with the results of the two-step sequential (two-stage) estimation of linear panel-data models (SELPDM) and the two-step system Generalised Method of Moments estimation (BBGMM). The results show that health pandemics have negative impacts on FDI. Significantly, the uncertainty caused by pandemics creates adverse shocks on FDI net inflows in Asia-Pacific countries and emerging economies.

We estimate and compare the impact of the coronavirus pandemic (COVID-19) on the performance of Artificial Intelligence (AI) and conventional listed firms using stock market indices. The single-group and multiple-group Interrupted Time-Series Analyses (ITSA) with panel data were used with four interventions: when the news of COVID-19 spread and the pandemic entered the first, second, third, and fourth months (24 February 2020, 23 March 2020, 20 April 2020, and 18 May 2020, respectively). The results show that the negative impact of COVID-19 on the AI stock market was less severe than on the conventional stock market in the first month of the pandemic. The performance of the AI stock market recovered quicker than the conventional stock market when the pandemic went into its third month. The results suggest that the AI stocks were more resilient than conventional stocks when the financial market was exposed to uncertainty caused by the COVID-19 pandemic. The deployment of AI in firms serves as a resilient, crucial driver for sustainable performance in challenging environments. Observing the performance of AI-adopted firms is an interesting direction for technical and fundamental analysts. Investors and portfolio managers should consider an AI market index to minimize risk or invest in stocks of AI-adopted listed firms to maximize excess returns.

The Exposure Draft for Proposed International Standard on Sustainability Assurance (ISSA) 5000 has been issued by the International Auditing and Assurance Standards Board (IAASB) because there is increasing demand by stakeholders for assurance of sustainability information. Our recommendations include: (i) a more flexible approach to ethics and quality management instead of the requirements for standards that are at least as demanding as the accounting profession's standards; (ii) more differentiation between the requirements for limited as opposed to reasonable assurance and (iii) more cautious use of the term materiality and clearer definitions of the different materiality concepts to avoid potential confusion.

The New Zealand External Reporting Board (XRB) issued for public comment a standard on Assurance Engagements over GHG Emissions Disclosure. The Auditing and Assurance Standards Committee of AFAANZ prepared a submission, based on the findings reported in published research, responding to a number of the questions asked by the XRB. This technical note presents the formal submission made to the XRB.

Purpose: The recent decades have witnessed the rising frequency and severity of infectious diseases in the international context and their detrimental impacts on the corporate world as a result of growing interconnection among nations. This study aims to examine the effect of previous infectious diseases (H5N1, H1N1 and MERS) on the disclosure of corporate social responsibility (CSR) among listed Chinese firms from 2006 to 2017. Design/methodology/approach: Firm-level financial and CSR data of Chinese non-financial listed firms are from the China Stock Market and Accounting Research database. The data on corporate governance are collected from Bloomberg financial database. Three infectious diseases under examination are H5N1 (2006–2007), H1N1 (2009–2010) and MERS (2015–2016). This study uses the fixed-effect estimations to account for time-invariant differences among the firms in the sample. Findings: The results reveal that Chinese firms disclose less CSR information during the time of public health crises, and this impact is more pronounced in small-sized and low-growth firms. Besides, the analysis suggests that Chinese firms are becoming more resilient to infectious diseases. Research limitations/implications: The findings provide implications for corporate stakeholders to understand corporate policies under uncertainties and inform vulnerable businesses to develop an appropriate CSR strategy in preparation for future health calamities. Originality/value: This study provides new insights into how businesses react to previous epidemics and pandemics at different scales other than the COVID-19 pandemic. Besides, the findings shed light on the dynamic of firms’ CSR engagement during and after the infectious outbreaks.

Countries are confronting climate change using climate-related regulations that require firms and investors to disclose their green strategies and activities. Using the Meta-Analysis Structural Equation Modeling (MASEM) technique, this study evaluates the relationship between climate-related regulations and financial markets. The meta-regression analysis is conducted based on the outcomes of 52 empirical studies screened from 143 relevant articles. The results show the predictive power of the climate-related disclosure (CRD) laws and environmental regulations (ERs) on financial performance across all studies. ERs create mixed impacts on the equity market and support the debt market. Firm value is affected by ERs either negatively or positively. Methodologies and risk-related factors (market, industry, and firm risks) are important in explaining the relationships between ER/CRD and financial performance. The more developed the market, the less the impact of ERs and CRD on the equity market. Considering industry risk is recommended because different industries are exposed to changes in policies differently. The ER/CRD–firm value relationship is affected by all market, industry, and firm risks. The downside effect of mandatory CRD on the equity market suggests that policy makers, firms, and investors should be cautious in passing a new CRD regulation for transformation towards a sustainable economy.