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1 – 10 of over 2000
Open Access
Article
Publication date: 12 September 2023

Santosh Kumar Das

This paper aims to analyse trends and determinants of NPAs in India's banks. It has empirically examined the bank-specific determinants of NPAs.

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Abstract

Purpose

This paper aims to analyse trends and determinants of NPAs in India's banks. It has empirically examined the bank-specific determinants of NPAs.

Design/methodology/approach

An FE panel estimation of a sample of 44 banks was carried out for the post-crisis time period, from 2010 to 2020 to identify the bank-specific determinants of NPAs. The sample of 44 banks includes 20 PSBs, 19 private banks and 5 foreign banks. Separate FE estimation was also carried out to identify the drivers of NPAs in PSBs.

Findings

The determinant of NPAs during the post-crisis period suggests that faulty earning management and deterioration in loan quality have resulted in high NPAs in India's banks. The result is similar for PSBs as well.

Research limitations/implications

The findings of the study suggest that the banks, especially the Public Sector Banks (PSBs) need to revisit their earning management strategies to maximise income and improve their loan quality in order to reduce the incidence of loan failure.

Originality/value

The paper contributes by empirically analysing the determinants of NPAs during the recent decade, between 2010 and 2020. Separate estimations have been carried out to understand whether the drivers of NPAs differ in the case of PSBs.

Details

Journal of Money and Business, vol. 3 no. 2
Type: Research Article
ISSN: 2634-2596

Keywords

Article
Publication date: 25 December 2023

Satya Prakash Mani, Shashank Bansal, Ratikant Bhaskar and Satish Kumar

This study aims to examine the literature from the Web of Science database published on board committees between 2002 and 2023 and outline the quantitative summary, journey of…

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Abstract

Purpose

This study aims to examine the literature from the Web of Science database published on board committees between 2002 and 2023 and outline the quantitative summary, journey of board committees’ research and suggest future research directions.

Design/methodology/approach

This study examines bibliometric-content analysis combined with a systematic literature review of articles on board committees to document the summary of the field. The authors used co-citation, co-occurrence and cluster analysis under bibliometric-content analysis to present the field summary.

Findings

Board committee composition, such as their gender, independence and expertise, as well as factors affecting corporate governance, such as reporting quality, earnings management and board monitoring, all have a significant impact on board committee literature. The field is getting growing attention from authors, journals and countries. Nevertheless, there is a need for further exploration in areas like expertise, member age and tenure, the economic crisis and the nomination and remuneration committee, which have not yet received sufficient attention.

Originality/value

This paper has both theoretical and practical contributions. From a theoretical perspective, this study substantiates the prevalence of agency theory within board committee literature, reinforcing the foundational role of agency theory in shaping discussions about board committees. On practical ground, the comprehensive overview of board committee literature offers scholars a road map for navigating this field and directing their future research journey. The identification of research gaps in certain areas serves as a catalyst for scholars to explore untapped dimensions, enabling them to strengthen the essence of the committees’ performance.

Details

Qualitative Research in Financial Markets, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1755-4179

Keywords

Article
Publication date: 25 December 2023

Nemer Badwan, Besan Saleh and Montaser Hamdan

This paper aims to investigate the determinants that contribute to the financial stability and banking sector of Palestinian banks listed on the Palestine Stock Exchange (PEX) by…

Abstract

Purpose

This paper aims to investigate the determinants that contribute to the financial stability and banking sector of Palestinian banks listed on the Palestine Stock Exchange (PEX) by using yearly data for the years 2012–2022.

Design/methodology/approach

Pooled ordinary least squares (OLS) and two-stage least squares (2SLS) were used to identify the variables and factors affecting the financial stability and banking sector of Palestinian banks. The study’s data were collected from the banks listed on PEX and from the yearly reports posted on the Palestine Monetary Authority’s (PMA) webpage over the years from 2012–2022. According to this research’s analysis, SMEs loans and capital sufficiency have a statistically significant positive impact on the stability of Palestinian banks. Unobserved heterogeneity, simultaneity and dynamic endogeneity are taken into account when using the 2SLS regression approach to adjust for the study endogeneity factor.

Findings

The study’s findings show that some factors and determinants might have both good and negative effects on financial stability and banking sector. Loans to small and medium-sized businesses (SMEs) and enough capital are two characteristics that statistically have a major favourable impact on the stability of Palestinian banks since they help the banks withstand deficits. A further potential discovery relates to the favourable effects of financial inclusion (FI) and digital financial services (DFS) on the stability of banks.

Research limitations/implications

This research has faced some limitations, such as the lack of a defined index from the regulatory organizations, this research is based on information from bank annual accounts. It has mostly relied on self-developed or World Bank indexes. Furthermore, the research solely used information from the supply side (banks); demand-side data were not taken into consideration.

Practical implications

This paper has managerial implications for stability of banking sector. The Palestine Monetary Authority, as the central bank, must increase the percentage of bank loans directed to small and medium-sized companies and oblige bank management to adhere to adequate capital standards, which contributes to strengthening the Palestinian banking sector and increasing its profits. The study findings advise banks that are enjoying financial stability to speed up the pace of FI and DFSs because most of these reliable banks have relatively low FI ratios. PMA is responsible for preserving the stability of the financial system. PMA, decision makers and banks management must retain adequate liquidity in their institutions and raise client collateral expectations to raise credit conditions.

Originality/value

This paper adds some contributions to the literature. To adjust for discrepancies between various types of banks, the authors concentrate on conventional and Islamic banks, which enables us to use a homogenous data set as opposed to depending on dichotomous variables. The authors used Z-scores, which have recently been used in research, to measure stability and FI at the level of specific institutions. This research contributes in some key aspects that no prior research has addressed. Conventional banks are different from Islamic banks, and a number of issues might impact their stability. To evaluate the connection between FI and DFSs, it is important to consider the actions of bank regulators.

Details

Journal of Financial Regulation and Compliance, vol. 32 no. 1
Type: Research Article
ISSN: 1358-1988

Keywords

Article
Publication date: 3 November 2023

Aisha Javaid, Kaneez Fatima and Musarrat Karamat

This paper empirically examines whether sophisticated governance mechanism affects the relationship between earnings management and dividend policy of non-financial firms.

Abstract

Purpose

This paper empirically examines whether sophisticated governance mechanism affects the relationship between earnings management and dividend policy of non-financial firms.

Design/methodology/approach

The sample of the study includes non-financial firms listed on the stock exchanges of twenty developed and developing economies from the period 2005–2017. The Generalized Method of Moments (GMM) was applied to estimate the econometric models.

Findings

The results confirm the positive association between earning management and the dividend payout ratio of the sample firms. These findings are in line with the signaling theory, which suggests that firms engage in earnings manipulation to signal to the market that they can maintain a smooth dividend distribution. Moreover, findings suggest that board independence, being a mechanism of corporate governance, significantly negatively moderated the relationship between earnings management and the dividend payout ratio of non-financial firms.

Practical implications

The findings provide valuable suggestions to government bodies, regulatory authorities and corporate managers to focus on the effectiveness of governance mechanisms to improve the reliability of financial reports.

Originality/value

These findings imply that the effect of earning management on the dividend payout ratio is less pronounced in firms with more independent directors on the company board.

Details

Journal of Economic and Administrative Sciences, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1026-4116

Keywords

Article
Publication date: 27 June 2023

Paolo Saona, Laura Muro, Pablo San Martín and Ryan McWay

This study aims to investigate how gender diversity and remuneration of boards of directors’ influence earnings quality for Spanish-listed firms.

Abstract

Purpose

This study aims to investigate how gender diversity and remuneration of boards of directors’ influence earnings quality for Spanish-listed firms.

Design/methodology/approach

The sample includes 105 nonfinancial Spanish firms from 2013 to 2018, corresponding to an unbalanced panel of 491 firm-year observations. The primary empirical method uses a Tobit semiparametric estimator with firm- and industry-level fixed effects and an innovative set of measures for earnings quality developed by StarMine.

Findings

Results exhibit a positive correlation between increased gender diversity and a firm’s earnings quality, suggesting that a gender-balanced board of directors is associated with more transparent financial reporting and informative earnings. We also find a nonmonotonic, concave relationship between board remuneration and earnings quality. This indicates that beyond a certain point, excessive board compensation leads to more opportunistic manipulation of financial reporting with subsequent degradation of earnings quality.

Research limitations/implications

This study only covers nonfinancial Spanish listed firms and is silent about how alternative board features’ influence earnings quality and their informativeness.

Originality/value

This study introduces measures of earnings quality developed by StarMine that have not been used in the empirical literature before as well as measures of board gender diversity applied to a suitable Tobit semiparametric estimator for fixed effects that improves the precision of results. In addition, while most of the literature focuses on Anglo-Saxon countries, this study discusses board gender diversity and board remuneration in the underexplored context of Spain. Moreover, the hand-collected data set comprising financial reports provides previously untested board features as well as a nonlinear relationship between remuneration and earnings quality that has not been thoroughly discussed before.

Details

Gender in Management: An International Journal , vol. 39 no. 1
Type: Research Article
ISSN: 1754-2413

Keywords

Article
Publication date: 13 July 2023

Manish Bansal

The study examines the impact of a recent mandate (Section 149 of the Indian Companies Act, 2013, where firms of a certain size are mandated to appoint at least one woman director…

Abstract

Purpose

The study examines the impact of a recent mandate (Section 149 of the Indian Companies Act, 2013, where firms of a certain size are mandated to appoint at least one woman director on the board) on the earnings quality of firms. The study also examines the role of financial expertise and the presence of a woman director in the audit committee on the association between mandate and earnings quality.

Design/methodology/approach

Taking leverage of a quasi-natural experiment in India, the authors employ the ‘Difference-in-Difference’ (DiD) technique. DiD enables the author to filter out the impact of concurrent exogenous shocks while examining the issue. The propensity score matching and entropy balancing techniques have been employed to overcome the problem of endogeneity and self-selection bias.

Findings

Based on the sample of 538 Bombay Stock Exchange (BSE) listed firms, the author finds that magnitude of discretionary accruals has decreased among test firms (firms mandated to comply with Section 149) relative to benchmark marks (firms not mandated to comply with Section 149) during the post-legislation period, indicating the improved earning quality after the mandate. This finding is consistent with the notion of social role theory that women are less likely to be engaged in risky activities such as earnings management. Further, the author find that the financial expertise of the woman and presence of the woman on the audit committee strengthen the positive impact of the mandate on earnings quality. These results are robust to alternative measurements of discretionary accruals.

Originality/value

The study is among the pioneering attempts to make use of a quasi-natural experiment and investigate the impact of a woman director on earnings quality. The study is also one of the few studies to focus on a developing country like India having a culture dominated by men.

Details

Asian Review of Accounting, vol. 32 no. 1
Type: Research Article
ISSN: 1321-7348

Keywords

Article
Publication date: 26 December 2023

Farshad Peiman, Mohammad Khalilzadeh, Nasser Shahsavari-Pour and Mehdi Ravanshadnia

Earned value management (EVM)–based models for estimating project actual duration (AD) and cost at completion using various methods are continuously developed to improve the…

Abstract

Purpose

Earned value management (EVM)–based models for estimating project actual duration (AD) and cost at completion using various methods are continuously developed to improve the accuracy and actualization of predicted values. This study primarily aimed to examine natural gradient boosting (NGBoost-2020) with the classification and regression trees (CART) base model (base learner). To the best of the authors' knowledge, this concept has never been applied to EVM AD forecasting problem. Consequently, the authors compared this method to the single K-nearest neighbor (KNN) method, the ensemble method of extreme gradient boosting (XGBoost-2016) with the CART base model and the optimal equation of EVM, the earned schedule (ES) equation with the performance factor equal to 1 (ES1). The paper also sought to determine the extent to which the World Bank's two legal factors affect countries and how the two legal causes of delay (related to institutional flaws) influence AD prediction models.

Design/methodology/approach

In this paper, data from 30 construction projects of various building types in Iran, Pakistan, India, Turkey, Malaysia and Nigeria (due to the high number of delayed projects and the detrimental effects of these delays in these countries) were used to develop three models. The target variable of the models was a dimensionless output, the ratio of estimated duration to completion (ETC(t)) to planned duration (PD). Furthermore, 426 tracking periods were used to build the three models, with 353 samples and 23 projects in the training set, 73 patterns (17% of the total) and six projects (21% of the total) in the testing set. Furthermore, 17 dimensionless input variables were used, including ten variables based on the main variables and performance indices of EVM and several other variables detailed in the study. The three models were subsequently created using Python and several GitHub-hosted codes.

Findings

For the testing set of the optimal model (NGBoost), the better percentage mean (better%) of the prediction error (based on projects with a lower error percentage) of the NGBoost compared to two KNN and ES1 single models, as well as the total mean absolute percentage error (MAPE) and mean lags (MeLa) (indicating model stability) were 100, 83.33, 5.62 and 3.17%, respectively. Notably, the total MAPE and MeLa for the NGBoost model testing set, which had ten EVM-based input variables, were 6.74 and 5.20%, respectively. The ensemble artificial intelligence (AI) models exhibited a much lower MAPE than ES1. Additionally, ES1 was less stable in prediction than NGBoost. The possibility of excessive and unusual MAPE and MeLa values occurred only in the two single models. However, on some data sets, ES1 outperformed AI models. NGBoost also outperformed other models, especially single models for most developing countries, and was more accurate than previously presented optimized models. In addition, sensitivity analysis was conducted on the NGBoost predicted outputs of 30 projects using the SHapley Additive exPlanations (SHAP) method. All variables demonstrated an effect on ETC(t)/PD. The results revealed that the most influential input variables in order of importance were actual time (AT) to PD, regulatory quality (RQ), earned duration (ED) to PD, schedule cost index (SCI), planned complete percentage, rule of law (RL), actual complete percentage (ACP) and ETC(t) of the ES optimal equation to PD. The probabilistic hybrid model was selected based on the outputs predicted by the NGBoost and XGBoost models and the MAPE values from three AI models. The 95% prediction interval of the NGBoost–XGBoost model revealed that 96.10 and 98.60% of the actual output values of the testing and training sets are within this interval, respectively.

Research limitations/implications

Due to the use of projects performed in different countries, it was not possible to distribute the questionnaire to the managers and stakeholders of 30 projects in six developing countries. Due to the low number of EVM-based projects in various references, it was unfeasible to utilize other types of projects. Future prospects include evaluating the accuracy and stability of NGBoost for timely and non-fluctuating projects (mostly in developed countries), considering a greater number of legal/institutional variables as input, using legal/institutional/internal/inflation inputs for complex projects with extremely high uncertainty (such as bridge and road construction) and integrating these inputs and NGBoost with new technologies (such as blockchain, radio frequency identification (RFID) systems, building information modeling (BIM) and Internet of things (IoT)).

Practical implications

The legal/intuitive recommendations made to governments are strict control of prices, adequate supervision, removal of additional rules, removal of unfair regulations, clarification of the future trend of a law change, strict monitoring of property rights, simplification of the processes for obtaining permits and elimination of unnecessary changes particularly in developing countries and at the onset of irregular projects with limited information and numerous uncertainties. Furthermore, the managers and stakeholders of this group of projects were informed of the significance of seven construction variables (institutional/legal external risks, internal factors and inflation) at an early stage, using time series (dynamic) models to predict AD, accurate calculation of progress percentage variables, the effectiveness of building type in non-residential projects, regular updating inflation during implementation, effectiveness of employer type in the early stage of public projects in addition to the late stage of private projects, and allocating reserve duration (buffer) in order to respond to institutional/legal risks.

Originality/value

Ensemble methods were optimized in 70% of references. To the authors' knowledge, NGBoost from the set of ensemble methods was not used to estimate construction project duration and delays. NGBoost is an effective method for considering uncertainties in irregular projects and is often implemented in developing countries. Furthermore, AD estimation models do fail to incorporate RQ and RL from the World Bank's worldwide governance indicators (WGI) as risk-based inputs. In addition, the various WGI, EVM and inflation variables are not combined with substantial degrees of delay institutional risks as inputs. Consequently, due to the existence of critical and complex risks in different countries, it is vital to consider legal and institutional factors. This is especially recommended if an in-depth, accurate and reality-based method like SHAP is used for analysis.

Details

Engineering, Construction and Architectural Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0969-9988

Keywords

Article
Publication date: 18 May 2022

Zhuoan Feng, Lina Zixuan Li, Hau Yan Wong and Jilnaught Wong

This paper aims to examine how auditors respond through audit fees and audit quality following disciplinary actions imposed by audit regulators in an emerging market setting.

Abstract

Purpose

This paper aims to examine how auditors respond through audit fees and audit quality following disciplinary actions imposed by audit regulators in an emerging market setting.

Design/methodology/approach

This paper uses the disciplinary actions in 2017 against two major audit firms in China as an exogenous shock to examine the effect of tougher enforcement actions on auditor behavior as reflected in their emended audit fees and audit quality. This paper sampled from publicly listed firms in China with requisite data for the period 2015 through 2018. Using a difference-in-differences model, this paper examines whether the enforcement action (i.e. the suspension of audit firms) significantly impacted the audit fees and audit quality for clients of the disciplined audit firms (hereafter, suspended audit firms) in the two-year period postsuspension relative to audit firms that were not disciplined (hereafter, nonsuspended audit firms).

Findings

This paper finds evidence of increased audit fees and improved audit quality by the suspended audit firms relative to the nonsuspended audit firms in the two-year period postsuspension. These findings suggest that in contrast to symbolic disciplinary actions such as public censures documented in prior literature (Boone et al.,2015), tougher punitive disciplinary actions are followed by an increase in audit fees and an improvement in audit quality by the suspended audit firms. This paper also finds that the deterrent effect from the audit firm suspension is exclusive to the penalized audit firms and had no positive spillover effects on their peers.

Research limitations/implications

A limitation of this study is the focus on the effect of audit firm suspension against two large local audit firms in China. Given the unique characteristics of the Chinese audit market and the Chinese regulatory environment, our findings may not be generalizable to audit firms in other countries and jurisdictions, especially where the audit market is dominated by the international Big 4 auditors that possess greater brand name capital than second-tier local audit firms.

Originality/value

This paper provides novel evidence on the impact of strengthened enforcement on auditor behavior in an emerging market setting. This paper contributes to the existing literature examining the impact of regulatory interventions on financial reporting outcomes and audit quality. While there is evidence on how regulations affect financial statement preparers’ demand for high audit quality, there is limited research on how regulatory interventions affect auditor’s incentive to supply higher audit quality. This paper also contributes to the scant existing evidence on the effect of disciplinary actions against audit firms in emerging economies.

Details

Meditari Accountancy Research, vol. 31 no. 5
Type: Research Article
ISSN: 2049-372X

Keywords

Article
Publication date: 4 April 2023

Yavuz Idug, Suman Niranjan, Ila Manuj, David Gligor and Jeffrey Ogden

The proliferation of ride-hailing businesses brings significant considerations for improving the driver's operational performance. Informed by the literature on sharing economy…

Abstract

Purpose

The proliferation of ride-hailing businesses brings significant considerations for improving the driver's operational performance. Informed by the literature on sharing economy, general deterrence theory and protection motivation theory this research investigates the behavioral factors impacting ride-hailing drivers' operational performance.

Design/methodology/approach

The authors empirically test the antecedents impacting a ride-hailing driver's operational performance using an online survey dataset comprising 513 ride-hailing drivers working for Uber and Lyft in the United States.

Findings

Ride-hailing drivers' intention to comply with the ride-hailing company guidelines results in better operational performance for the driver. Moreover, drivers believe that ride-hailing companies have effective penalties to deter drivers from violating company guidelines. However, drivers also believe that the chances of being caught while ignoring the company guidelines are low.

Practical implications

The results of this research support the decision-making processes of ride-hailing company managers and offer insights on how managers can enhance the operational performance of their drivers.

Originality/value

This study provides unique contributions to emerging research at the intersection of peer-to-peer asset sharing, behavioral studies and technology management. This research is one of the first to explore the role of behavioral factors such as coping mechanisms on the operational performance of sharing economy workers.

Details

International Journal of Operations & Production Management, vol. 43 no. 12
Type: Research Article
ISSN: 0144-3577

Keywords

Article
Publication date: 15 April 2022

Rashmi Sharma and Richa Joshi

This paper aims to investigate the role of bank reputation (via its proposed dimensions) in influencing bank trust and its subsequent effect on the loyalty of the customer. The…

Abstract

Purpose

This paper aims to investigate the role of bank reputation (via its proposed dimensions) in influencing bank trust and its subsequent effect on the loyalty of the customer. The study has also explored the moderating role of bank type (public vs private bank) in the relationship between the dimensions of bank reputation and bank trust.

Design/methodology/approach

A total of 651 questionnaires were distributed to the customers of public and private bank, whereas only 375 usable responses were obtained. Questionnaires were given to the respondents through the visit of few interviewers to several private and public banks in Delhi and NCR region during December 2019 to February 2020. A screening question was included in the beginning of the questionnaire (i.e. Do you trust your bank?). Non-random sampling technique was used for data collection, and the research design was cross-sectional. The proposed framework was tested with the help of structural equation modeling.

Findings

The findings of the study show that all the proposed dimensions (i.e. service quality, stability, customer centricism and corporate performance) of corporate reputation/bank reputation significantly affect bank trust. Also, the effect of bank trust on loyalty was found significant. Bank type emerged as a significant moderator between the dimensions of bank reputation and bank trust. It shows that the effect of service quality, stability, customer centricism and corporate performance on bank trust significantly differs in public vs private banks. Customer centricism is perceived to be high in private banks, whereas all the other three dimensions are obtained to be higher in public sector banks according to the findings of the study.

Practical implications

The presented framework in the study has covered all the significant antecedents of bank trust and its subsequent effect on loyalty. The findings of the paper are useful to several stakeholders, including bank managers, regulators, investors and depositors. The study shows that bank reputation affects trust and loyalty in the long run. This relationship can be used by bank managers for gaining the trust of customers and building loyalty. It also helps in making strategies by banks for targeting customers. Stability is a very crucial factor for a developing economy. The bank regulators can use these results for ensuring the soundness of the banking system and for providing a stable environment for customers. Bank depositors and investors can also use the findings of the study for analyzing the factors that affect their bank selection decision.

Originality/value

The present research shows that bank type moderates the relationship of the dimensions of bank reputation and bank trust in an emerging economy in Asia.

Details

South Asian Journal of Business Studies, vol. 13 no. 1
Type: Research Article
ISSN: 2398-628X

Keywords

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