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The study aims to extend the conventional triple bottom line (TBL) framework (prosperity, people and planet) to the quadruple bottom line (QBL) by newly adding a “prophet” dimension for Islamic banks seeking compliance with Islamic law in their pursuit of sustainability.

Employ Chapra's corollaries of maqasid al-shari'ah (the goals of Islamic law) to develop constructs for a survey of 504 Islamic bank stakeholders from five Indonesian provinces to gather primary data to quantitatively verify the dimensions and items in the proposed QBL framework. Categorical principal component analysis (CATPCA) then identifies the sustainability of ten Islamic banks from ten countries as a trial application of the resulting QBL index.

Using the dimensions and items identified using CATPCA, the authors develop a QBL index to assess the sustainability of the ten Islamic banks. The findings suggest that half of the banks are sufficiently sustainable, with three being proactive (doing more than is required) and two being accommodative (doing all that is required). The remaining five banks are unsustainable, with two banks being defensive (doing the least that is required) and three being reactive (doing less than is required). Most of the banks perform relatively poorly according to the “planet” (38%) and “people” (41%) dimensions and perform better on the “prosperity” (53%) and “prophet” (63%) dimensions. Nonetheless, there is ample room for improvement across all dimensions of sustainability.

The generalizability of the findings is limited by the small-scale single-country survey used in the CATPCA part of the analysis. Only ten Islamic banks were included in the QBL scoring and ranking exercises

Islamic banks can improve their sustainability by increasing green financing and reaching out to rural areas and disadvantaged populations. In countries with Islamic banking systems, regulators can support this through training, guidance and incentives.

Pioneering exploration of TBL from maqasid al-shari'ah perspective. First, we develop a QBL index to assess the sustainability of Islamic banks in line with actual stakeholder expectations.

This paper aims to outline the argument for social outcomes as an objective for Islamic banks and investigate whether social failure exists in Islamic banking in Indonesia by assessing it against this performance dimension.

Content analysis of the annual reports of a sample of 12 Islamic commercial banks, seven Islamic banking units, and seven Islamic rural banks operating in Indonesia. The social outcomes to be measured employ the social objectives and disclosure measures from the prevailing literature, combined with the Kinder, Lydenberg, Domini Research and Analytics index of corporate social performance, the United Nations’ 17 Sustainable Development Goals and five Environment Social Governance Scorecards developed by Oikocredit, a global cooperative and social investor group.

Social failure evident in all Islamic rural banks and half of all Islamic commercial banks, but in only one of the seven Islamic bank units where most banks appear to pursue social outcomes at the accommodative level (accepting and doing all that is required). A social outcome-weighted asset formulation reveals Islamic banking has improved in meeting its social objectives over time, but sometimes at the cost of other objectives relating to the environment and customers.

Single-country context for analysis and limited period of analysis given rapid growth of industry and less stringent reporting requirements in the past.

Islamic banking in Indonesia needs to continue to improve its social outcomes, particularly in relation to the environment and customer benefits.

Emphasis on banking supervisory bodies to regulate and provide incentives for the industry to address the social issues upon which consumer support, industry efforts and regulation draws.

Few existing studies investigate the social dimension of Islamic banking, not least in Indonesia. Novel quantitative and qualitative application of content analysis.

The Iranian banking industry has been greatly affected by dramatic changes in macroeconomic conditions over the past several decades owing to volatile oil revenues, changing fiscal and monetary policies, and the imposition of US sanctions. The main objective of this paper is to estimate potential credit losses in the Iranian banking sector due to macroeconomic shocks and assess the minimum economic capital requirements under the baseline and distressed scenarios. The paper also contrasts the applications of linear and nonlinear models in estimating the impacts of macroeconomic shocks on financial institutions.

The paper uses a multistage approach to derive the portfolio loss distribution for banks. In the first step, the dynamic relationship between the selected macroeconomic variables are estimated using a VAR model to generate the stress scenarios. In the second step, the default probabilities are estimated using a quantile regression model and the results are compared with those of the conventional linear models. Finally, the default probabilities are simulated for a one-year time horizon using Monte-Carlo method and the portfolio loss distribution is calculated for hypothetical portfolios. The expected loss includes the loss given default for loans drawn randomly and uniformly distributed and exposed at default values when loans are assigned a fixed value.

The results indicate that the loss distributions under all scenarios are skewed to the right, with the linear model results being very similar to those of quantile at the 50% quantile, but very unlike those at the 10% and 90% quantiles. Specifically, the quantile model for the 90% (10%) quantile generates estimates of minimum economic capital requirement that are considerably higher (lower) than those using the linear model.

The study has focused on credit risk because of lack of data on other types of risk at individual bank level. The future studies can estimate the aggregate economic capital using a risk aggregation approach and a panel data (not presently available), which could further improve the accuracy of the estimates.

The fiscal and monetary authorities in developing countries, specially oil-exporting countries, can follow the risk assessment approach to assess the health of their banking system and adapt policies to mitigate the impacts of large macroeconomic shocks on their financial markets.

This is the first paper estimating the portfolio loss distribution for the Iranian banks under turbulent macroeconomic conditions using linear and nonlinear models. The case study can be applied to other developing and emerging countries, particularly those highly dependent on natural resources, prone to extreme macroeconomic shocks.

Existing studies of school efficiency primarily specify teacher inputs as the number of teachers and perhaps the student-teacher ratio. As a result, there is no direct qualitative recognition of the learning environment. The purpose of this paper is to incorporate the learning environment directly into the assessment of school efficiency.

The authors employ data envelopment analysis to derive efficiency scores and the double-bootstrap truncated regression approach in Simar and Wilson’s (2007) Journal of Econometrics to quantify the sources of efficiency in 430 Queensland state primary schools. In the first stage, the outputs of student National Assessment Program-Literacy and Numeracy scores and the inputs of full-time equivalent teaching staff and cumulative capital expenditure per student are used to measure efficiency. In the second stage, the authors specify an index of community socio-educational advantage, class size, the share of teachers with postgraduate qualifications, funds spent on professional development, and surveyed opinions from parents/caregivers, students, staff and principals on the learning environment to explain these measures of efficiency.

Socio-economic background and the teaching environment affect school efficiency. Although not all variables related to teacher contribution are significant, there is evidence to suggest that teachers have a positive influence on student performance hence school efficiency. Teachers ability to clearly explain the requirements of schoolwork tasks and listening to student opinions sets an ideal student engagement environment which can have a profound impact on student learning.

From a policy perspective, policy makers should target resources at inefficient schools aimed at enhancing student learning through teacher development and, at the same time, providing financial and non-financial educational assistance to students and their families from a low socio-educational background.

This is the first large-scale primary school efficiency analysis to incorporate the Simar and Wilson (2007) approach to explaining the determinants of efficiency, including teaching environment from the perspective of students, teachers and other stakeholders.

This paper aims to model the asset portfolio rebalancing decisions of Australian households experiencing a severe life event shock.

The paper uses household longitudinal data from the Household, Income, and Labour Dynamics in Australia (HILDA) survey since 2001. The major life events are serious illness or injury, death of a spouse, job dismissal or redundancy and separation from a spouse. The asset classes are bank accounts, cash investments, equities, superannuation (private pensions), life insurance, trust funds, owner-occupied housing, investor housing, business assets, vehicles and collectibles. The authors use both static and dynamic Tobit models to assess the impact and duration of impact of the shocks.

Serious illness and injury, loss of employment, separation and spousal death cause households to rebalance portfolios in ways that can have detrimental effects on long-term wealth accumulation through poor market timing and the incurring of transaction costs.

The survey results are only available since 2001, and the wealth module from which the asset data are drawn is self-reported and not available every year.

Relevant to policymakers working on the ongoing retirement of the “baby boomer” generation and for financial planners guiding household investment decisions.

Most research on shocks to household wealth concern a narrower range of assets and only limited shocks. Also, this is one of the few studies to use a random effects model to allow for unspecified heterogeneity among households.

This paper aims to extend the existing triple bottom line framework (Prosperity, People and Planet [so-called 3Ps]) with a new dimension, namely, Prophet, to reflect Islamic values (the now 4Ps) for banks seeking compliance with Islamic religious principles.

This study conducts a survey of 504 Islamic bank stakeholders across six provinces in Indonesia and use regression analysis to test the applicability of the 4Ps. This paper further examines their application in two large Islamic banks in Indonesia and Malaysia.

The models are all highly significant and well reflect a broad stakeholder perspective on bank performance. Of the four elements, this study finds stakeholders rank Prosperity first, followed by Prophet and then Planet. The case studies strengthen the application of the new Prophet dimension as a way for Islamic banks to improve their financial, social and economic performance, particularly during periods of financial distress.

This study only uses survey data from a single country, and this may limit the generalizability of the findings.

Practitioners will find the quadruple bottom line useful in assessing organizational performance, as will regulators seeking to improve the social and economic outcomes of the Islamic banking sector.

This paper internalises maqasid al-syari’ah (the most basic goal of Islamic law) as a simple but essential approach to organizational performance using empirical evidence from a real-world banking setting.

This paper aims to examine the impact of government financial assistance provided to Australian small and medium-sized enterprises (SMEs).

This study uses firm-level panel data on more than 2,000 SMEs over a five-year period from the Business Longitudinal Database compiled by the Australian Bureau of Statistics. The authors measure the impact of government financial assistance in terms of subsequent SME performance (income from sales of goods and services and profitability) and changes in the availability of alternative nongovernment finance.

The authors find government financial assistance helps SMEs improve performance over and above the effects of conventional financing. They also find than the implicit guarantee effect signalled by a firm receiving government financial assistance suggests firms are more likely to obtain nongovernment finance in the future. Control factors that significantly affect SME performance and finance availability include business size, the level of innovation, business objectives and industry.

Nearly all of the responses in the original survey data are qualitative, so we are unable to assess how the strength of these relationships varies by the levels of assistance, income and profitability. The measure of government financial assistance of the authors is also general in that it includes grants, subsidies and rebates from any Australian Government organisation, so we are unable to comment on the impact of individual federal, state or local government programmes.

Government financial assistance helps SMEs improve both immediate and future performance as measured by income and profitability. This could be because government financial assistance quickly overcomes the financial constraints endemic in SMEs. Government financial assistance also helps SMEs obtain nongovernment finance in the future. The authors conjecture that this is because it overcomes some of the information opaqueness of SMEs.

Few studies focus on the impact of direct government financial assistance compared with indirect assistance as typical in credit guarantee schemes. The authors use a very large and detailed data set on Australian SMEs to undertake the analysis.

This study aims to examine the link between boards and audit committees and firm performance in Kuwaiti listed firms in the context of recent and extensive corporate governance regulatory reform.

Panel data regression analysis with fixed effects and clustered standard errors of firm performance for 61–97 listed industrial and services firms in Kuwait over a seven-year period. The dependent variables are the returns on assets and equity, the debt-to-equity ratio and leverage and Tobin’s Q and the independent variables comprise board of directors and audit committee characteristics, including size, the number of meetings and the numbers of independent and outside board and expert committee members. Firm size, subsidiary status and cash flow serve as control variables.

Mixed results with respect to the characteristics of the board of directors. Board size and independent and outsider board members positively relate only to Tobin’s Q and insiders only to debt to equity. For audit committee characteristics, committee size, independence and expertise positively relate to the return on equity and committee size and expertise only to Tobin’s Q. Of the five performance measures considered, board and audit committee characteristics together best determine Tobin’s Q.

Data from a single country limits generalisability and control variables necessarily limited in a developing market context. Need for qualitative insights into corporate governance reform as a complement to conventional quantitative analysis. In combining accounting and market information, Tobin’s Q appears best able to recognise the performance benefits of good corporate governance in terms of internal organisational change.

The recent corporate governance code and guidelines reforms exert a mixed impact on firm performance, with audit committees, not boards, of most influence. But recent reforms implied most change to boards of directors. One suggestion is that non-market reform may have been unneeded given existing market pressure on listed firms and firms anticipating regulatory change.

Kuwait’s corporate governance reforms codified corporate governance practices already in place among many of its firms in pursuit of organisational legitimacy, and while invoking substantial change to audit committees, involved minor change to firm performance, at least in the short term. Some firms may also have delisted in expectation of stronger corporate governance requirements. Regardless, these direct and indirect processes both improved the overall quality of listed firm corporate governance and performance in Kuwait.

Seminal analysis of corporate governance reforms in Kuwait, which have rapidly progressed from no corporate governance code and guidelines to an initially voluntary and then compulsory regime. Only known analysis to incorporate both board of directors and audit committee characteristics. Reveals studies of the corporate governance–firm performance relationship may face difficulty in model specification, and empirical significance, given the complexity of corporate governance codes and guidelines, leads in changing firm behaviour and self-selection of firms into and out of regulated markets.

The purpose of this paper is to examine the relationships between the higher moments of returns (realized skewness and kurtosis) and subsequent returns at the industry level, with a focus on both empirical predictability and practical application via trading strategies.

Daily returns for 48 US industries over the period 1970–2019 from Kenneth French’s data library are used to calculate the higher moments and to construct short- and medium-term single-sort trading strategies. The analysis adjusts returns for common risk factors (market, size, value, investment, profitability and illiquidity) to confirm whether conventional asset pricing models can capture these relationships.

Past skewness positively relates to subsequent industry returns and this relationship is unexplained by common risk factors. There is also a time-varying effect in which the predictive role of skewness is much stronger over business cycle expansions than recessions, a result consistent with varying investor optimism. However, there is no significant relationship between kurtosis and subsequent industry returns. The analysis confirms robustness using both value- and equal-weighted returns.

The calculation of realized moments conventionally uses high-frequency intra-day data, regrettably unavailable for industries. In addition, the chosen portfolio-sorting method may omit some information, as it compares only average group returns. Nonetheless, the close relationship between skewness and future returns at the industry level suggests variations in returns unexplained by common risk factors. This enriches knowledge of market anomalies and questions yet again weak-form market efficiency and the validity of conventional asset pricing models. One suggestion is that it is possible to significantly improve the existing multi-factor asset pricing models by including industry skewness as a risk factor.

Given the relationship between skewness and future returns at the industry level, investors may predict subsequent industry returns to select better-performing funds. They may even construct trading strategies based on return distributions that would generate abnormal returns. Further, as the evaluation of individual stocks also contains industry information, and stocks in industries with better performance earn higher returns, risks related to industry return distributions can also shed light on individual stock picking.

While there is abundant evidence of the relationships between higher moments and future returns at the firm level, there is little at the industry level. Further, by testing whether there is time variation in the relationship between industry higher moments and future returns, the paper yields novel evidence concerning the asymmetric effect of stock return predictability over business cycles. Finally, the analysis supplements firm-level results focusing only on the decomposed components of higher moments.

A public finance framework is used to examine the relationship between community composition, namely occupancy status, and the provision of governmental services. A comprehensive literature survey suggests that a systematic relationship exists between the fraction of renters in a given jurisdiction and the level of fiscal expenditures. More particularly, it would appear that renters ceteris paribus are willing to support a higher level of publicly provided goods than homeowners. The competing hypotheses of renter illusion and renter rationality are discussed, as are the differing implications for public policy. Suggestions are also made on how future research on this important topic might proceed.