Examining the extent of and determinants for sustainability assurance quality: The role of audit committees

This study examines the extent of and determinants for sustainability assurance quality. Data comprise sustainability assurance statements published by the top 100 listed companies in Australia and New Zealand from 2017 to 2019. The findings indicate that Australian companies lead their New Zealand counterparts in sustainability assurance. Although sustainability reporting has risen, assurance rates remain significantly low. Accountants dominate the market, and companies prefer to use their own auditors for sustainability assurance work. Sustainability assurance quality is poor and does not vary significantly among Australian and New Zealand companies. Low-quality sustainability assurance plays a limited role in mitigating potential stakeholder–agency conflicts. The regression analysis indicates that audit committee characteristics such as members' independence, industry/market expertise, and attending meetings enhance sustainability assurance quality, whereas audit committee size has no affect. These findings suggest that audit committee characteristics such as independence, industry expertise, and regular meeting attendance have the potential to reduce stakeholder–agency conflicts by improving the quality of sustainability statement assurance. Our findings build on the sustainability assurance literature by exploring current trends in sustainability assurance practices in Australia and New Zealand where corporate governance codes have been recently revised. Further, these findings are timely given recent changes in standards (International Standard on Assurance Engagements [ISAE] 3000 and Global Reporting Initiative [GRI]). Our study contributes to the audit committee literature and sheds light on the role played by audit committee characteristics on sustainability assurance statement quality. The study findings potentially offer useful insights for practitioners, standard setters, and regulators.     

Global estimates of growth–inequality–poverty (GIP) triangle: evidence from World Bank’s classification countries

This study extended the concept of ‘growth–inequality–poverty (GIP) triangle’ by using the principle component approach which allows us to composite different poverty and inequality indicators into one single index that contains most of the useful information from the original dataset. Using the idea of GIP triangle, this study examines the long-run relationship among weighted poverty index (which comprises headcount ratio, poverty gap and squared poverty gap); weighted inequality index (i.e., Watts Index, Gini Index and MLD Index) and average monthly per capita income in the designated 138 countries according to World Bank’s classification over a period of 2005–2010. The data set mainly contain countries’ unit record household survey at least one which is conducted between the countries during the sample period. The regression model encompassing the impact of economic growth and income inequality on poverty reflects that income inequality increases poverty while economic growth decreases poverty. It indicates that the impact of inequality in increasing poverty is a somewhat greater than that of growth in average income in reducing overall poverty in a sample countries. The other regression model encompassing the impact of economic growth and poverty on income inequality showed that the poverty itself is also likely to be a barrier for poverty reduction; and inequality seems to predict lower future growth rates. The final regression model depicting the impact of poverty and income inequality on mean income of the household suggests that poverty itself reduces mean income of the household while income inequality increases economic growth. The results are interesting and simply suggest that whenever social institutions malfunction, the incidence of damage would usually be distributed unevenly over the society’s members.     

Toxic chemical releases and idiosyncratic return volatility: A prospect theory perspective

We investigated whether and how firms’ toxic chemical releases (TCRs) affect idiosyncratic return volatility (IRV) using a prospect theory lens. Utilising a large sample of US public listed firms over the period 2001–2018, we find a significant and positive association between TCRs and IRV, suggesting that firms releasing more toxic chemicals have higher IRV. Additional analyses show that a positive association between TCR and IRV is more evident among firms with (i) high revenue, (ii) lower financial constraints and (iii) fewer environmental violations. A further test also suggests that a positive association between TCRs and IRV is contingent on political leadership ideology and market states. Our results remain consistent with weighted TCRs, IRV based on the Fama–French three-factor model, fixed-effect two-stage least square estimator (FE-2SLS), and other robustness checks. These findings shed light on the role of equity markets as a driver for capital-intensive pollution abatement activities and enhanced compliance with environmental laws, standards and best practices.     

Do Big-Four affiliates earn audit fee premiums in emerging markets?

The paper investigates whether Big-Four affiliated (B4A) firms earn audit premiums in an emerging economy context, using Bangladesh as a case. The joint determination of audit and non-audit service fees is also examined using a sample of 122 companies listed in the Dhaka Stock Exchange. Our findings reveal that although the B4A firms do not generally earn a fee premium in Bangladesh, they charge higher audit fees for clients not purchasing non-audit services. This suggests that the B4A firms may actually lower audit fees to attract non-audit services, and cross subsidizes audit fees through non-audit-services fees. The lack of a B4A premium implies that there is lack of quality audit in emerging markets. We also document that audit and non-audit service fees are jointly determined in Bangladesh. Thus, we provide evidence of joint determination of audit and non-audit service fees in an emerging economy context.     

Fuel consumption for various driving styles in conventional and hybrid electric vehicles: Integrating driving cycle predictions with fuel consumption optimization*

Improving fuel economy and lowering emissions are key societal goals. Standard driving cycles, pre-designed by the US Environmental Protection Agency (EPA), have long been used to estimate vehicle fuel economy in laboratory-controlled conditions. They have also been used to test and tune different energy management strategies for hybrid electric vehicles (HEVs). This paper aims to estimate fuel consumption for a conventional vehicle and a HEV using personalized driving cycles extracted from real-world data to study the effects of different driving styles and vehicle types on fuel consumption when compared to the estimates based on standard driving cycles. To do this, we extracted driving cycles for conventional vehicles and HEVs from a large-scale U.S. survey that contains real-world GPS-based driving records. Next, the driving cycles were assigned to one of three categories: volatile, normal, or calm. Then, the driving cycles were used along with a driver-vehicle simulation that captures driver decisions (vehicle speed during a trip), powertrain, and vehicle dynamics to estimate fuel consumption for conventional vehicles and HEVs with power-split powertrain. To further optimize fuel consumption for HEVs, the Equivalent Consumption Minimization Strategy (ECMS) is applied. The results show that depending on the driving style and the driving scenario, conventional vehicle fuel consumption can vary widely compared with standard EPA driving cycles. Specifically, conventional vehicle fuel consumption was 13% lower in calm urban driving, but almost 34% higher for volatile highway driving compared with standard EPA driving cycles. Interestingly, when a driving cycle is predicted based on the application of case-based reasoning and used to tune the power distribution in a hybrid electric vehicle, its fuel consumption can be reduced by up to 12% in urban driving. Implications and limitations of the findings are discussed.     

Mapping Ethics Education in Accounting Research: A Bibliometric Analysis

Journal of Business Ethics - The attention being paid to ethics education in accounting has been increasing, especially after the corporate accounting scandals at the turn of the century. This...     

Developing a Website Service Quality Scale: A Confirmatory Factor Analytic Approach

The surge in online consumers and their preference to buy over the Internet is nudging marketers to embrace e-commerce, but mere online presence without distinct user experience may not help attract and retain customers. Research suggests that website service quality is a determining factor in Internet buyer behavior. Several measurement tools have been used in the context of developed economies to measure e-service quality. The very few empirical researches in emerging economies, including India, motivated the researchers in the present study to refine the WEBQUAL 4.0 scale developed by Barnes and Vidgen (2002 Barnes, S. J., and R. T. Vidgen. 2002. An integrative approach to the assessment of e-commerce quality. Journal of Electronic Commerce Research 3 (3):114–27. [Google Scholar]) to measure the service quality at shopping websites. The present study employs tools like SPSS 20.0 and AMOSS 20.0 to analyze the data through exploratory factor analysis and confirmatory factor analysis. Study results suggest a 14-item WEBQUAL four factor (Ease of Use, Information Quality, Reliability, and Empathy) scale that is appropriate for Indian settings.     

Gender discrimination in education,health, and labour market: a voice for equality

The objective of the study is to examine the impact of gender discrimination in education, health, and labour market on economic growth in a panel of 20 high-income OECD countries for the period of 1980–2015. In addition, the study proposed an index of pro-equality growth, which is flared with education, health, and labour market initiatives to promote economic growth. The results show that gender parity index for educational attainment significantly promotes economic growth while health and labour market required substantial policy reforms to reduce health and labour market inequalities to sustain long-term economic growth. The results classified three countries as highly equitable growth, one country for equitable growth, two countries are moderate growth, four countries are less equitable growth while remaining 10 countries fall in the category of inequitable growth, where greater inequality promotes economic growth on the cost of education, health, and labour market inequalities.