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This study aims to investigate the spatial distribution of housing prices and identify the affecting factors (independent variable) on the cost of residential units (dependent variable).

The method of the present study is descriptive-analytical and has an applied purpose. The used statistical population in this study is the residential units’ price in Tehran in 2021. For this purpose, the average per square meter of residential units in the city neighborhoods was entered in the geographical information system. Two techniques of ordinary least squares regression and geographically weighted regression have been used to analyze housing prices and modeling. Then, the results of the ordinary least squares regression and geographically weighted regression models were compared by using the housing price interpolation map predicted in each model and the accurate housing price interpolation map.

Based on the results, the ordinary least squares regression model has poorly modeled housing prices in the study area. The results of the geographically weighted regression model show that the variables (access rate to sports fields, distance from gas station and water station) have a direct and significant effect. Still, the variable (distance from fault) has a non-significant impact on increasing housing prices at a city level. In addition, to identify the affecting variables of housing prices, the results confirm the desirability of the geographically weighted regression technique in terms of accuracy compared to the ordinary least squares regression technique in explaining housing prices. The results of this study indicate that the housing prices in Tehran are affected by the access level to urban services and facilities.

Identifying factors affecting housing prices helps create sustainable housing in Tehran. Building sustainable housing represents spending less energy during the construction process together with the utilization phase, which ultimately provides housing at an acceptable price for all income deciles. In housing construction, the more you consider the sustainable housing principles, the more sustainable housing you provide and you take a step toward sustainable development. Therefore, sustainable housing is an important planning factor for local authorities and developers. As a result, it is necessary to institutionalize an integrated vision based on the concepts of sustainable development in the field of housing in the Tehran metropolis.

This study aims to examine the correlation between the readability of financial statements and the likelihood of future stock price crashes in nonfinancial companies listed on the Egyptian Stock Exchange. It further explores the possible moderating effect of audit quality on this relationship.

The study uses ordinary least squares regression, generalized least squares estimation and two-stage least squares methodology to examine and validate the research hypotheses. The sample comprises 107 nonfinancial companies registered on the Egyptian Stock Exchange from 2016 to 2019.

The results reveal a significant negative association between the readability of financial statements and stock price crash risk. This suggests that companies with more complex financial statements tend to experience higher future crash risks. Additionally, the study identifies audit quality as a significant moderating factor. Higher audit quality, often indicated by engagements with Big-4 audit firms, strengthens the influence of financial statements readability on stock price crash risk. This implies that while high audit quality enhances investor confidence and market stability, it also accentuates the negative consequences of complex financial statements.

The findings of this paper have significant implications for regulators and standard-setting bodies in Egypt. They should consider refining and revising existing standards to emphasize the importance of enhancing the readability of financial reports. Additionally, auditing firms should actively engage in efforts to ensure clearer and more transparent financial reporting. These actions are vital for boosting investor confidence, strengthening Egypt’s capital market and mitigating potential risks associated with information opacity and complexity.

This study represents a pioneering endeavor within the Arab and Egyptian financial environments. To the best of the author’s knowledge, it is the first examination of the association between the readability of financial statements and stock price crash risk in these contexts. Furthermore, it explores factors such as audit quality that may influence this connection.

This study explores the determinants of police officer support for pre-arrest/booking deflection programs that divert people presenting with substance use and/or mental health disorder symptoms out of the criminal justice system and connect them to supportive services.

This study analyzes responses from 254 surveys fielded to police officers in Delaware. Questionnaires asked about views on leadership, approaches toward crime, training, occupational experience and officer’s personal characteristics. The study applies a new machine learning method called kernel-based regularized least squares (KRLS) for non-linearities and interactions among independent variables. Estimates from a KRLS model are compared with those from an ordinary least square regression (OLS) model.

Support for diversion is positively associated with leadership endorsing diversion and thinking of new ways to solve problems. Tough-on-crime attitudes diminish programmatic support. Tenure becomes less predictive of police attitudes in the KRLS model, suggesting interactions with other factors. The KRLS model explains a larger proportion of the variance in officer attitudes than the traditional OLS model.

The study demonstrates the usefulness of the KRLS method for practitioners and scholars seeking to illuminate patterns in police attitudes. It further underscores the importance of agency leadership in legitimizing deflection as a pathway to addressing behavioral health challenges in communities.

This study aims to examine the impact of chief executive officers’ (CEOs’) personal characteristics on firms’ risk taking and the moderating role of family ownership on this relationship.

This study used 2,647 firm-year observations of non-financial firms listed on Pakistan Stock Exchange over the period 2013–2021. To test the hypotheses, the authors used ordinary least squares regression and, to resolve the possible endogeneity problem, the authors used system generalized method of moments technique.

Drawing insights first from upper echelons theory, the authors report that CEOs with business, economics, finance and/or management educational background and female CEOs reduce firms’ risk-taking behaviour. Further, using insights from social and organizational identity theoretical perspectives, the results indicate that due to strong family affiliation and organizational identity, family owners exhibit risk aversion behaviour and moderate this relationship.

This study provides novel evidence of risk averse behaviour of CEOs with business, economics, finance and/or management educational background and female CEOs along with moderating impact of family ownership on this relationship in an emerging economy. Overall, the results extend empirical support for upper echelons and social identity theories in an emerging market context.

This study aims to investigate the association between Corporate Social Responsibility (CSR) and tax avoidance, as well as the effect of earnings performance on this link. We suggest a negative association between CSR and tax avoidance based on the Stakeholder Theory. We also suggest that earnings performance moderates this relationship. Based on a sample of 25 Tunisian firms during the years 2012–2017, data were gathered via annual reports of the companies, and a survey-questionnaire was used to gather CSR information. The research design uses ordinary least squares (OLS) regression to investigate the association between CSR and tax. In addition, the analysis is performed using panel data to account for heterogeneity at the individual level and over time. Using this research design, the study provides a comprehensive examination of the effect of CSR on tax avoidance among Tunisian companies over a 6-year period. According to our findings, companies that participate in CSR initiatives show less tax avoidance than those that do not. Moreover, in line with the Slack Resource Theory, for businesses with higher earnings, the negative link between CSR and tax avoidance is stronger. Our research demonstrates that businesses may utilize CSR to improve their standing in the community and lower the likelihood of tax avoidance. These results suggest that profitable firms may have more funds available to spend on CSR initiatives and, as a result, are more motivated to maintain a positive reputation by refraining from tax avoidance strategies.

The purpose of this study is twofold: first, to examine the relationship between foreign ownership and stock return volatility and second, to explore how COVID-19 impacts such a relationship.

This empirical research is based on the non-financial firms of the BSE-100 index over the 2013–2022 period. The ordinary least squares, fixed effects and system GMM (Generalized method of moment) techniques are used to analyze the effect of oversea investors on stock return volatility.

Results indicate an inverse association between foreign ownership and stock return volatility. The outcomes of the pre-and during-COVID-19 period show a negative but insignificant relationship between foreign ownership and stock return volatility. These results reflect foreign investors sold their stocks pessimistically, which badly affected the Indian stock market.

This study enriches the previous literature by exploring the impact of foreign investors on the stock return volatility of Indian firms. To date, no study has captured the impact of foreign ownership on stock return volatility during the COVID-19 pandemic.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-03-2023-0179

This study aims to empirically examine the influence of financial constraints on firm carbon emissions. In addition to the role of financial constraints in firm-level carbon emissions, this study also examines this influence in the presence of governance, environmental orientation and firm-level attributes.

Using pooled ordinary least square, this study examines the impact of financial constraints on firm-level carbon emissions using a panel of 1,536 US firm-year observations from 2008 to 2019. This study also used two-step generalized method of moment–based dynamic panel data and two-stage least square approaches to address potential endogeneity. The results are robust to endogeneity and collinearity issues.

The results suggest that financial constraints enhance the carbon emissions of the firms. The economic significance of financial constraints on carbon emissions is more pronounced for the firms that do not report environment-related expenditure investment and those that are highly leveraged. The authors further document that firms with a nondiverse gender board signify a statistically significant impact of financial constraints on carbon emissions. These results are also economically significant, as one standard deviation increase in financial constraints is associated with a 3.340% increase in carbon emissions at the firm level.

Some implicit and explicit factors like corporate emissions policy and culture may condition the relationship of financial constraints with carbon emissions. Therefore, it would be worthwhile to consider these factors for future research. In addition, it is beneficial to identify the thresholds and/or quantiles at which financial constraints may significantly make a difference in enhancing carbon emissions.

The findings offer policy implications for investment in stakeholder engagement for capital acquisitions, thereby effectively enforcing environmental innovation and leading to a reduction in carbon emissions.

This study integrated governance and environment-oriented variables in the model to empirically examine the role of financial constraints on the carbon emissions of the firms in the USA over and above what has already been documented in the earlier literature.

The study aims to examine the association between corporate transparency and firm value (capital market effect) and investigate whether auditor choice moderates this relationship.

This study uses the Malaysian Institute of Corporate Governance (2017) data set, which provides scores on anti-corruption commitment, organisational transparency and sustainability of Malaysia’s top 100 listed firms. The methodology entails an ordinary pooled least square regression method for empirical research.

The positive association between corporate transparency and firm value is more evident in anti-corruption and sustainability initiatives. More importantly, government-linked companies have higher scores. Firms with enhanced anti-corruption commitment are more likely to have higher firm value, and this relationship is more evident for politically connected firms. This study also finds that auditor choice is associated with the firm value in the sampled listed firms.

The findings provide implications for investors and regulators on the role of corporate transparency in an emerging capital market.

The study recommends that emerging market regulators continue enhancing corporate governance codes and practices to improve reporting transparency for listed firms.

This study contributes to the growing literature on sustainability disclosures by incorporating corporate reporting transparency, explicitly relating to firms’ commitment to anti-corruption, organisational transparency and sustainability.

The current estimation practice in construction projects greatly needs upgrading, as there has been no improvement in the cost overrun issue over the past 70 years. The purpose of this research was to develop a new multiple regression analysis (MRA)-based model to forecast the final cost of road projects at the pre-design stage using data from 43 projects in New Zealand (NZ).

The research used the case study of 43 completed road projects in NZ. Document analysis was conducted to collect data, and statistical tests were used for model development and analysis.

Eight models were developed, and all models achieved the required F statistics and met the regression assumptions. The models’ mean absolute percentage error (MAPE) was between 21.25% and 22.77%. The model with the lowest MAPE comprised the road length and width, number of bridges, pavement area, cut and fill area, preliminary cost and cost indices change.

The model is based on road projects in NZ. However, it was designed to be able to adapt to other contexts. The findings suggest that the model can be used to improve traditional conceptual estimating methods. Past project data is often stored by the project team but rarely used for analysing and forecasting purposes. This research emphasises that past data can be effectively used to predict the project cost at the pre-design stage with limited information.

No research was conducted to adopt cost modelling techniques into the conceptual estimation practice in the NZ construction industry.

This study aims to reveal to what extent successful European listed firms depend on their intellectual capital investment in achieving business success during the global financial crisis.

This study used value added intellectual coefficient (VAIC) methodology to measure the effect of intellectual capital on financial performance of business, which consist of 683 the sample listed firms. To examine the nexus between intellectual capital, legal origin and firm performance, estimated panel test and ordinary least squares regression model is used to data obtained from a sample of European countries.

The finding of this study suggests that there exists a positive relationship between intellectual capital and firm performance with return on assets (ROA) before the financial crisis, while firm performance with return on equity did not contribute to intellectual capital before and after the crisis period. Additionally, common law countries have a positive and statistically significant impact on firm performance with ROA for the before-crisis period, while code law countries have positively significant effect with VAIC on ROA.

The VAIC method has played a critical role in the management decision-making process to integrate the intellectual capital in the financial crisis period.

This study examines intellectual capital components such as human capital, structural capital and process capital efficiencies and firm performance in the legal origin context. The empirical evidence shows that there are significant impacts of legal origin on the nexus between intellectual capital and performance of listed firms during the global financial crisis.