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Segmentation theory argues that the labor market is composed of a variety of non-competing segments between which rewards to human capital are determined by institutional structures. This paper presents new evidence on sector-wise earning differential for both male and female samples to assess the implications of segmentation theory.

Primary data is collected through simple random sampling technique with a survey questionnaire from 954 employed individuals of Southern Punjab, the less developed region of Pakistan. OAXACA decomposition technique is adopted to estimate earning differential.

Empirical estimates of OAXACA decomposition reveal that the extent of discrimination between public and private sector is greater in case of females than in male samples. Education and region are crucial factors behind sector-wise earning differential for both male and female samples. Job characteristics are more valued than occupation to explain sector-wise earning differential. Occupation largely contributes to explain public–private sector earning differential in male sample than in female sample. Moreover, job security is highly valued by females than males.

Segmentation of the institutional structure in a developing economy is empirically verified by using primary data due to non-availability of data on some variables from secondary data sources. This study attempts to explore the key factors of public–private sector wage differential for male and female samples separately due to the differences in their preferences for work and earning functions.

A significant number of studies have been conducted to analyze and understand the relationship between gas emissions and global temperature using conventional statistical approaches. However, these techniques follow assumptions of probabilistic modeling, where results can be associated with large errors. Furthermore, such traditional techniques cannot be applied to imprecise data. The purpose of this paper is to avoid strict assumptions when studying the complex relationships between variables by using the three innovative, up-to-date, statistical modeling tools: adaptive neuro-fuzzy inference systems (ANFIS), artificial neural networks (ANNs) and fuzzy time series models.

These three approaches enabled us to effectively represent the relationship between global carbon dioxide (CO₂) emissions from the energy sector (oil, gas and coal) and the average global temperature increase. Temperature was used in this study (1900-2012). Investigations were conducted into the predictive power and performance of different fuzzy techniques against conventional methods and among the fuzzy techniques themselves.

A performance comparison of the ANFIS model against conventional techniques showed that the root means square error (RMSE) of ANFIS and conventional techniques were found to be 0.1157 and 0.1915, respectively. On the other hand, the correlation coefficients of ANN and the conventional technique were computed to be 0.93 and 0.69, respectively. Furthermore, the fuzzy-based time series analysis of CO₂ emissions and average global temperature using three fuzzy time series modeling techniques (Singh, Abbasov–Mamedova and NFTS) showed that the RMSE of fuzzy and conventional time series models were 110.51 and 1237.10, respectively.

The paper provides more awareness about fuzzy techniques application in CO₂ emissions studies.

These techniques can be extended to other models to assess the impact of CO₂ emission from other sectors.

Pahang beaches draw more than thousand visitors throughout the year. From the year 2006 to 2018, more than 30 drowning and near-drowning cases were recorded mainly from rip currents. Rip currents are defined as unexpected currents that carried beachgoers away to seaward direction more than approximately 50 m from shore. The prediction of rip current development is very important for the protection of human life. This study aims to conduct preliminary survey and field works to identify rip current hazards.

The output would be an early warning preventative mitigation to public in Pahang. Beach state model, dimensionless fall velocity, littoral environment observation and relative tidal range were recorded for five recreational beaches during two different months (March and April 2018). The morphodynamic parameters such sediment fall velocity, sediment grain size and beach slope are then analysed using software PROFILER. Classification of risks was done based on beach morphodynamic model. The morphodynamics are classified as low tide bar rip, barred and low tide terrace associated with rip current, bar dissipative, reflective, non-bar dissipative, low tide terrace and ultra-dissipative.

Result shows three out of five recreational beaches may develop high-risk rip currents. During the first month of the survey, Batu Hitam (BH) was recorded the only one recreational beach that may develop high-risk rip current followed by Teluk Cempedak (TC) and Kempadang (KEM) as middle-risk rip current beaches, while Balok (BA) and Sepat (SEP) as low-risk rip current beaches. Different during second month of the survey, BA, BH and SEP were recorded as high-risk rip current beaches while TC and KEM as low-risk rip current beaches.

The results are consistent with beach incidents (drowning and near-drowning) reported.

This paper explores the link between leadership derailment risk and competency ambidexterity in a digitalized global environment. It also investigates the impact of balanced skills on leadership success in collectivist and assertive cultures.

A mixed methods approach is employed using survey data from 766 American and Japanese managers and eight interviews across four diverse cultures. It uncovers the intricate relationship between leadership derailment risk and competency ambidexterity.

Optimal competency ambidexterity lowers the risks of leadership incompetence (operationalized as derailment) but through distinct configurations of current and needed competencies, which both competencies should be congruent at high levels in uncertain environments. Furthermore, moderately high competency levels mitigate derailment risk in collaborative cultures (Japan and China), while very assertive cultures (USA and Netherlands) require high competencies to lower derailment danger and sustain leadership effectiveness.

Leaders must maintain competency ambidexterity, adapting to diverse contexts in our dynamic world. Recognizing cultural nuances is essential for enhancing managers’ skills in global talent management.

Cultural values shape competency configurations and managers should balance organizational and personal competencies for effective leadership. Qualitative insights complement quantitative data.

The purpose of this study is to examine the association between carbon emissions and earnings management (EM). This study also considers the effect of female CEOs on the association between carbon emissions and EM.

This study uses the carbon disclosure project (CDP) for carbon emissions data, the Compustat database for financial information and the ExecuComp database for female CEOs. The empirical sample of this study consists of 1,692 firm-year observations in the USA that voluntarily participated in the CDP survey from 2007 to 2015. Regression analysis and robustness tests are conducted for this study and both accrual and real EM are considered.

This study provides evidence that firms with female CEOs who voluntarily disclose their carbon emissions information engage in less real EM. Thus, the presence of female CEOs moderates the association between carbon emissions and EM. This study/paper also finds a positive association between carbon emissions and real EM, although there is an insignificant association between carbon emissions and accruals EM.

The association between carbon emissions and EM has important implications for investors, regulators and policymakers. This study suggests that policymakers should improve the conditions that promote inclusion of females in the top management positions to constrain EM.

This study focuses on the USA, which is one of the major contributors to carbon emissions in the world. The presence of female CEOs moderates the association between carbon emissions and EM and firms with female CEOs show a greater impact on EM.

This study aims to examine the influence of board gender diversity on audit quality demand, considering auditor choice and audit efforts within the Gulf Co-operation Council (GCC) countries. It further examines the role of political connections and the impact of gender equality policy initiatives on this relationship.

Fixed-effects regression models are employed in a sample of 1,822 firm-year observations for financial firms across the GCC from 2011–2022 to test the hypotheses. Moreover, the two-stage-least-squares and the propensity score matching methods are used for sensitivity analysis.

The study shows a negative relationship between board gender diversity and the demand for audit quality, reflected auditor choice and audit efforts. However, the study shows a positive association between firm’s political connections and audit quality demand, which is more pronounced in gender-diverse boards. Policy initiatives for gender equality show no significant effect on the relationship between board gender diversity and audit quality demand.

The results inform governments, policy-makers, regulatory authorities and corporations by providing new evidence on the relationship between board gender diversity and the demand for audit quality, as well as the moderating role of political connections and policy initiatives in this relationship. To promote the meaningful participation of female directors in board decision-making, the findings indicate that gender stereotypes, both explicit and implicit, that can hinder female directors’ influence in board decision-making need to be addressed. Second, the study underscores for governments, policy-makers regulatory authorities and corporations that the mere appointment of female directors does not necessarily ensure their engagement in board decision-making. The appointment of female directors should go beyond symbolism and translate into meaningful engagement and influence with the board.

This study contributes to the corporate governance literature by offering new insights on the link between board gender diversity and the demand for audit quality. Beyond confirming a negative relationship between board gender diversity and the demand for quality audit, this study provides new insights on the moderating role of a firm’s political connections on this relationship. In addition, existing studies are primarily based on firms in Western countries and cannot be generalized due to differences in governance and legal structures. Given that the GCC countries have different cultures, economies, institutions, governance practices and norms compared to developed and emerging countries, our study offers a pertinent discussion on the relationship between board gender diversity and the demand for audit quality, as well as the moderating role of political connections in this relationship in the GCC countries.

The purpose of this study is to examine the influence of corporate governance (CG) mechanisms on earnings management (EM) within the Gulf Co-operation Council (GCC) countries. In addition, the impact of firm’s political connections (PCs) on EM is investigated, as well as whether it moderates the relationship between CG and EM.

Fixed-effects model is used on a sample of non-financial firms across the GCC countries to test the hypotheses. Moreover, a two-stage least squares method and a propensity score matching procedure are used to mitigate potential reverse causality and sample selection bias.

This study reveals that CG mechanisms such as board size and board independence are negatively associated with EM, while CEO duality is positively association with EM. In addition, this study shows that institutional ownership and blockholders do not influence EM. Furthermore, PCs are shown to play a moderating role in the relationship between CG and EM. The results of this study are robust to endogeneity testing and to alternative measures of CG.

Because of a lack of data, the authors do not consider additional CG attributes such as tenure, education and age of board members. Future research could explore the impact of these attributes when data becomes available.

This study provides valuable insights for government officials, policymakers, standard-setters, regulators and corporations by presenting new evidence on the relationship among CG, PCs and EM. Moreover, this study underscores that, in the absence of a strong institutional infrastructure and investor protection, relying solely on strong CG and Islamic values and GCC culture may have a limited impact on effective monitoring of opportunistic managerial behaviors.

This study contributes to existing literature with a specific focus on the unique political, legal, institutional, social and cultural setting of the GCC region. Moreover, this study provides new insights that PCs serve as a governance mechanism in mitigating EM because relatively little attention has been given to the impact of PCs in improving accounting outcomes, especially in the context of the GCC region where Islamic ethical norms often shape business practices.