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The purpose of this paper is to determine the most efficient hotels in the Indian hotel industry, the competitive positioning of these hotels, and the factors that affect their efficiency change.

This study conducts a two-stage analysis and uses data envelopment analysis (DEA) and Global Malmquist productivity index (MPI) approach in the first stage to calculate the managerial performance of a panel of 63 Indian hotels in 2019–2020 and their efficiency change from 2009–2010 to 2019–2020. Bootstrapped generalized least square (GLS) approach is applied in the second stage to evaluate the impact of contextual variables on efficiency change.

Using the results of the first stage analysis, the authors categorized the 63 Indian hotels into 7 distinct clusters. These clusters represent different levels of competitiveness and pace of growth. The GLS regression reveals a U-shaped relationship between hotel size and efficiency change and a negative relationship between pro social investments and efficiency.

This is the first study in the hotel industry that has used global MPI as a measure of efficiency change in the first stage and GLS in the second stage. In the Indian context, to the best of authors’ knowledge, no such study exists.

This paper aims to investigate the efficiency and performance of the Islamic banking industry amid the COVID-19 pandemic.

The authors used a two-stage data envelopment analysis to first estimate the efficiency of 78 Islamic banks (IBs) across 15 countries for the 2005–2020 period (a total of 782 bank-year observations) and then to examine their determinants, including the COVID-19 pandemic.

The authors found that the Islamic banking industry performed at a moderate level during the 2005–2020 period, providing evidence that IBs are resilient to the financial shocks created by COVID-19. The authors also found that bank-level characteristics (such as bank size) and country-level characteristics (such as inflation) can contribute to the bank’s operational efficiency.

The results of this study suggested that banking management and government macroeconomic policy, especially in terms of precautions and continuous support, are important for IBs to improve their performance.

To the best of the authors’ knowledge, this is the first study to examine the efficiency and performance of IBs amid COVID-19.

This study aims to examine the relationship of Indonesia’s Sharia Stock Index (ISSI) firms on environmental, social and governance (ESG) disclosure. This study is interesting because ISSI firms are supposed to comply with Islamic values as this has been reflected in good corporate governance activities, demonstrating responsibility to others and participating in preserving nature/environmental activities.

The authors use sample firms that are listed on the Indonesia Shariah-compliant Stock Index (ISSI) from 2011 to 2020, which also published sustainability reports.

The study found that sharia firms are positively related to ESG disclosure. The authors also found that ESG disclosure of sharia firms is more pronounced in the reporting section of general, economic, environmental and social. Other findings suggest differences in the segments reported in the COVID and pre-COVID periods. This result is also robust by conducting a self-selection bias test with Heckman’s two-stage regression and Coarsened Exact Matching regression.

For policymakers, these results indicate that different characteristics of firms can affect ESG disclosure, and economic conditions will determine which sectors are disclosed the most.

This study provides empirical evidence that Indonesian Shariah-compliant stock index firms carried out their mission to disclose more information about their environmental and social responsibilities and governance issues.

Employees play a vital role in the success of a corporation. While boards of directors are created to protect shareholders’ interests, it is unclear if these directors also ensure employee welfare. In this vein, our paper examines the relationship between board leadership structure and employee well-being.

The authors employ several analysis techniques, including univariate analysis, ordinary least squares (OLS) regressions, two-stage least squares (2SLS) regressions, propensity score matching methodology, the Heckman Selection model and difference-in-differences analysis. The sample comprises USA public firms for the period 1998–2018.

Our findings indicate that having an independent chairperson can significantly benefit the welfare of employees, especially for firms with overly powerful chief executive officers (CEOs) and during times of financial distress.

Independent leadership structure is one of the crucial board characteristics that have not been examined to explain employee welfare at firms. We find that an independent chairperson can mitigate the negative effect of overly powerful CEOs on employee benefits. Importantly, independent chairpersons are beneficial for employees in difficult times and when CEOs are busy with daily activities.

This paper examines whether the adoption of Japan’s Stewardship Code by institutional investors influences their preference for investee companies' governance quality. The Code, introduced by the Financial Services Agency in 2014, promotes constructive engagement between institutional investors and investee companies. Engagement with investees should improve institutional investors' ability to assess governance quality across their portfolios. The paper examines if this results in a positive relationship between the levels of Code-compliant institutional shareholding and investee governance quality.

The association between Code-compliant institutional shareholding levels and a governance quality score is examined for Nikkei 500 companies.

A positive association is observed between shareholdings by Code-compliant institutional investors and investee governance, with board independence playing a key role. Analysis shows that the association between institutional shareholding and governance is stronger for the Code-compliant shareholding than for overall institutional shareholdings. In addition, no significant relationship is found between the levels of shareholding by non-Code-compliant institutional investors and the governance quality score of investee companies. Taken together, the results suggest that Code adoption strengthens institutional investors' preference for high-quality investee governance.

Despite the introduction of stewardship regulation worldwide, there is a scarcity of empirical research that examines its operation. The study contributes to the existing literature by providing insights into how compliance with stewardship regulation influences institutional investor decision-making.

Without a doubt, COVID-19 is a disruptive event that one may not consider before it becomes a global pandemic. This study aims to examine the firm’s risk preference, represented as board characteristics towards COVID-19 exposure in Indonesia.

This study uses the boardroom’s average value of board age and female proportion to represent board characteristics. Fixed-effect regression based on industry (Industry FE) and year (Year FE) analyses 861 firm-year observations of all firms listed on the Indonesian Stock Exchange in 2019–2020.

The result shows a positive relationship between the female board and COVID-19 exposure disclosure. Meanwhile, the age proportion does not offer a significant result. The additional analysis document that the directors mainly drove the result and were only relevant during 2020. These results are robust due to coarsened exact matching tests and Heckman’s two-stage regression. This study enriches COVID-19 literature, especially from a quantitative perspective.

The rise of global crises makes the outputs of this study important for non-financial listed firms in Indonesia.

This study examines whether and how the legal origin of foreign institutional investors (FIIs) impacts corporate investment efficiency.

The study employs a large panel dataset of firms from 32 non-USA countries from 2005 to 2018. Financial and institutional ownership data are obtained from the COMPUSTAT Global and Public Ownership databases in S&P Capital IQ, respectively. The study employed ordinary least squares (OLS) regression with year and firm fixed effects. In addition, two-stage least squares with instrumental variable regression (2SLS-IV) and propensity score matching (PSM) approaches were employed to address the potential endogeneity.

The findings of this study suggest that common- and civil-law FIIs differ in their monitoring capabilities to promote investment efficiency. The authors find evidence that increased equity ownership by common-law FIIs, not civil-law investors, strengthens the investment-Q sensitivity, resulting in higher investment efficiency. Consistent with the monitoring and information channel, the results further indicate that the positive impact of common-law FIIs on investment efficiency is stronger in host environments susceptible to agency conflicts and information asymmetry.

This study offers novel evidence on the heterogeneous monitoring role of FIIs with regard to their home countries' legal origins and their impact on investment efficiency in an international context.

In the backdrop of an increase in market-based banking activities, this paper aims to study operational efficiency of Indian banking sector during 2009–2010 through 2017–2018 considering Capital Gain and Gain from Forex Market (as desirable outputs) and Slippage (as undesirable byproducts) simultaneously, along with Advances – a desirable output considered in the traditional banking performance assessment literature. This enables to have an assessment of performance (as captured by the measured efficiency scores) of Indian Banks following an alternative viewpoint about the banking activities. The authors also explain such efficiency scores in terms of bank-specific factors, banking industry competition scenario and interest rate channel.

Using data envelopment analysis (DEA) method, the authors estimate six alternatives but interlinked operational efficiency scores (TES) of the Indian domestic commercial banks. In the second stage, they explain such TES in terms of bank-specific factors, banking industry competition scenario and interest rate channel.

The authors observe that the private sector banks as a group outperform those under public ownership. Moreover, although the private sector banks could maintain somewhat consistency in their operational efficiency performance over the sample period, public sector banks clearly show a declining tendency. The second stage econometric estimation results show that the priority sector lending has a negative effect on efficiency. Interestingly, the authors get varying results for the relationship between maturity and efficiency score depending on banks’ strategies on stressed assets management. Furthermore, the analyses result that banks are not so efficient in managing relatively larger-volume loans. It is also observed that banks’ efficiency positively depends on the Credit-to-Deposit (CD) ratio. It is found that the overall operational efficiency of the banks to manage their credit risk portfolio improves with a reduction in the lending rate (LR). However, the interaction of lending activities and capital market shows that with the increase in LR, corporate borrowers may switch to capital market to explore for desired funds, which may induce the banking sector to investment in capital markets and create a positive market sentiment.

Literature, although scanty, is there dealing stressed assets of a bank as some undesirable byproducts of its operational and business activities. However, such literature mostly done within the traditional framework of banking business activities and modern market-based business activities are almost absent in the literature. The authors have done it in the present study.

This study aims to assess housing affordability and estimate demand using a hedonic regression model in the context of Lucknow city, India. This study assesses housing affordability by considering various housing and household-related variables. This study focuses on the impoverished urban population, as they experience the most severe housing scarcity. This study’s primary objective is to understand the demand dynamics within the market comprehensively. An understanding of housing demand can be achieved through an examination of its characteristics and components. Individuals consider the implicit values associated with various components when deciding to purchase or rent a home. The components and characteristics have been obtained from variables relating to housing and households.

A socioeconomic survey was conducted for 450 households from slums in Lucknow city. Two-stage regression models were developed for this research paper. A hedonic price index was prepared for the first model to understand the relationship between housing expenditure and various housing characteristics. The housing characteristics considered for the hedonic model are dwelling unit size, typology, condition, amenities and infrastructure. In the second stage, a regression model is created between household characteristics. The household characteristics considered for the demand estimation model are household size, age, education, social category, income, nonhousing expenditure, migration and overcrowding.

Based on the findings of regression model results, it is evident that the hedonic model is an effective tool for the estimation of housing affordability and housing demand for urban poor. Various housing and household-related variables affect housing expenditure positively or negatively. The two-stage hedonic regression model can define willingness to pay for a particular set of housing with various attributes of a particular household. The results show the significance of dwelling unit size, quality and amenities (R² > 0.9, p < 0.05) for rent/imputed rent. The demand function shows that income has a direct effect, whereas other variables have mixed effects.

This study is case-specific and uses a data set generated from a primary survey. Although household surveys for a large sample size are resource-intensive exercises, they provide an opportunity to exploit microdata for a better understanding of the complex housing situation in slums.

All the stakeholders can use the findings to create an effective housing policy. The variables that are statistically significant and have a positive relationship with housing costs should be deliberated upon to provide the basic standard of living for the urban poor. The formulation of policies should duly include the housing preferences of the economically disadvantaged population residing in slum areas.

This paper uses primary survey data (collected by the authors) to assess housing affordability for the urban poor of Lucknow city. It makes the results of the study credible and useful for further applications.

This study analyzes whether industry relatedness between a corporate borrower and its group peers significantly affects that firm's borrowing cost.

A regression analysis is run on bank-loan data of a sample of Indonesian companies for 2010–2020. The main variables of interest are the natural logarithms of the borrowing firm's number of affiliates classified within either similar 2- or 4-digit GICS industries, and the Caves weighted index of these firms' related diversification. This index measures how firms in a group are diversified in relation to the borrower. The dependent variable is the all-in credit spread, stated in basis points, over the LIBOR or similar benchmark, as of the loan issuance date.

Findings support the industry-relatedness hypothesis and contradict the risk-reduction hypothesis and show that banks charge lower loan spreads on a borrowing firm that either operates within a similar industry as its affiliate or diversifies into related sectors or industries. Consistent with the co-insurance-effect hypothesis, the results also underline the importance of the parent and first-layer firms as supporting instead of the tunneling vehicles within business groups. These conclusions hold even after segregating the sample and using the loan maturity as the dependent variable.

This study uses a unique diversification measurement based on the borrowing firm's sector or industry, relative to other group members, and offers new insights on business group diversification and bank loan costs.