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We examine (i) the impacts of environmental, social, and governance (ESG) on firm efficiency and (ii) how board gender diversity (BGD) moderates these impacts in mining multinational enterprises (MNCs). We first employ a two‐stage network data envelopment analysis (DEA) approach to estimate eco‐efficiency (EE) and profitability efficiency (PE), and a network‐based ranking model to rank the mining MNCs. Second, we utilize multivariate regression analysis on 294 firm‐year observations of 49 global MNCs spanning from 2016 to 2021 to achieve our research objectives. Based on our findings, it appears that mining MNCs have a bigger room for improvement when it comes to their profitability efficiency than their eco‐efficiency. The DEA average efficiency scores for EE and PE stand at around 83% and 50%, respectively. Moreover, our regression results reveal that ESG significantly and positively influences EE but insignificantly affects PE. Environmental pillar score (EPS), social pillar score (SPS), and governance pillar score insignificantly influence EE, whereas EPS and SPS significantly affect PE. In addition, BGD significantly moderates the effect of ESG on EE. BGD significantly moderates only the impact of SPS on PE. Overall, this study emphasizes the significance of focusing on BGD when examining the relationship between ESG and firm efficiency, which thus provides crucial insights for stakeholders in the global mining industry, including investors, policymakers, and researchers. [ABSTRACT FROM AUTHOR]

This study investigates the moderating influence of the business strategy type on the correlation between environmental, social and governance (ESG) investment and efficiency in the gambling industry. By employing the range directional measure–network data envelopment analysis model, this study focuses on a sample of 29 gambling firms in North America, Europe, Asia and Oceania for the period of 2019–2022. Findings show that (i) the gambling industry demonstrates steadily increasing trends in the three ESG pillars; (ii) the gambling firms in Asia outperform their counterparts in North America across the three ESG pillars, and among the industry classifications, the betting operators lead in performance in the ESG pillars; and (iii) the adoption of an aggressive business strategy will enhance the translation of social responsibility investment and governance practices into heightened sustainability efficiency and marketability efficiency, respectively. Overall, this study enriches the ESG investment literature by exploring the moderating role of the business strategy type and provides insights into how diverse business strategies within the gambling industry can shape the outcomes of ESG initiatives. The implications of the findings extend to management teams and offer valuable insights into the interplay between the business strategy type and the ESG–firm efficiency nexus. Policymakers can leverage the results to design regulations and incentives that align with the different strategic profiles adopted by gambling firms to foster the creation of tailored and effective approaches for strengthening their sustainability in the industry. [ABSTRACT FROM AUTHOR]

We examine whether and how research and development (R&D) mediates the association between environmental, social, and governance (ESG) pillars and corporate efficiency among companies within the supply chain of Microsoft Corporation from 2012 to 2020. An estimation of corporate efficiency using data envelopment analysis (DEA) indicates that companies should first improve their innovational efficiency (mean DEA score = 0.371), then operational efficiency (mean DEA score = 0.659), and finally profitability efficiency (mean DEA score = 0.695). Moreover, a mediation analysis confirms the mediating role of R&D intensity. Overall, R&D should be one of the spotlights in the supply chain amidst the highlights on ESG in this dynamic and challenging business world for companies to achieve sustainable development goals. [ABSTRACT FROM AUTHOR]

Although environmental, social, and governance (ESG) have been recognized for its overall impact on firm efficiency, research on the effects of the three main and multiple sub elements of ESG, especially in the airline industry, has been lacking. Thus, we analyze the impacts of overall ESG, its three main elements, and each sub elements of ESG on the firm efficiency of 29 suppliers, partners, and customers of Japan Airlines over the period of 2013–2022. First, we employ a two‐stage hierarchical network data envelopment analysis (DEA) technique that assesses the interrelationships and interdependencies among the supply chain players in contributing toward achieving their respective operating and profitability efficiencies. Second, we run ordinary least squares regression analyses with 5000 bootstrap replications and determine that overall ESG and its three main elements are positively linked with firm efficiencies. The sub elements of ESG have different impacts on firm efficiencies. That is, resource use and environmental innovation under the Environmental element and human rights and product responsibility under the Social element show significantly positive associations with firm efficiencies. All Governance sub elements positively affect firm efficiencies. The outcomes of this study will be valuable for managers at Japan Airlines and other policymakers within its supply chain because it highlights the importance of focusing on the three main and sub elements of ESG and employing the accurate firm efficiency measurement method when interrelationships and interdependencies of decision‐making units exist. [ABSTRACT FROM AUTHOR]

Purpose: This study aims to examine the relationships among International Financial Reporting Standards (IFRS) adoption, earnings management, and corporate efficiency. Design/methodology/approach: First, the authors employ the epsilon-based measure (EBM) of the data envelopment analysis to measure the corporate performance of the Taiwanese electronics industry from 2011 to 2014. Second, the authors regress the IFRS adoption and earnings management on corporate efficiency. Findings: The findings show that the corporate efficiency deteriorated after IFRS adoption. Although the regression analysis shows that the relationship between earnings management and corporate efficiency is significantly positive, the authors find that IFRS adoption is effective in unveiling earnings management. Moreover, IFRS adoption moderates the impact earnings management and corporate efficiency. Research limitations/implications: This study provides reference for decision-makers in the application of accounting principles and in the understanding of the IFRS impact adoption. Practical implications: IFRS adoption can either facilitate or limit the earnings management that would affect corporate efficiency significantly and help the electronics industry as well as investors to know the changes in accounting principles and their effects on corporate efficiency. Originality/value: The authors use the EBM of efficiency model to measure corporate efficiency and employ the modified Jones model to measure earnings management. [ABSTRACT FROM AUTHOR]

This study presents a novel centralized Data Envelopment Analysis (DEA) model with shared inputs to optimize the allocation of public sector resources and enhance management efficiency. Recognizing the need for a comprehensive approach to public sector performance evaluation, the study integrates the strengths of the centralized DEA framework and the two-stage DEA model with shared inputs. The centralized DEA model shifts the focus from individual decision-making units to optimizing resources across the entire public sector system. This allows for the reallocation of shared inputs among decision making units, leading to potential efficiency gains and improved overall performance. Incorporating shared inputs within the centralized structure enables a more nuanced understanding of the interdependencies and interactions between distinct functions and stages within the public sector. The empirical application of the proposed model in the context of public sector management and cultural subsidies provides valuable insights. The findings highlight inefficiency and offer guidance for policymakers and administrators on optimizing shared resource use. The centralized DEA model with shared inputs serves as a practical decision-support tool, informing the development of targeted policies and strategies to enhance the efficiency and effectiveness of public service delivery, particularly in resource-constrained environments. This research contributes to public sector performance evaluation's theoretical and methodological advancement, offering a comprehensive framework for resource optimization and improved management practices. • The study presents a novel centralized DEA model with shared inputs to optimize public sector resource allocation. • It integrates centralized DEA and two-stage DEA with shared inputs to assess efficiency comprehensively. • The model enables reallocation of shared resources among DMUs for improved overall performance. • Empirical application reveals inefficiencies and guides policymakers on optimizing cultural subsidies. • The approach provides a more accurate efficiency assessment compared to conventional non-shared input DEA models. [ABSTRACT FROM AUTHOR]

As global ecological degradation intensifies, a trade‐off has arisen between environmental protection and production efficiency to achieve sustainable development for the environment, society, and the company itself. However, the potential reverse causality relationship between environmental, social, and governance (ESG) and corporate efficiency may lead to confusion. This study estimates the eco‐efficiency of Apple Incorporated's value‐chain counterparts in the first stage and creates values and profitability in the second stage of efficiency evaluation. Results obtained from the (i) directional distance function in the two‐stage data envelopment analysis (DEA), (ii) additive efficiency decomposition two‐stage network DEA model, and (iii) network slacks‐based measure model are consistent. That is, Apple counterparts manage more efficient eco‐efficiency than profitability efficiency, implying that eco‐efficiency is their competitive advantage. We thus also run a regression analysis to examine how the ESG ratings of Apple counterparts explain their eco‐efficiency and profitability efficiency. Although the overall ESG rating positively explains the efficiencies, we found that the individual governance rating shows no statistically significant effect. The regression results provide insight for practitioners on the importance of investing in the three aspects of a firm's collective conscientiousness for societal and environmental governance. This paper integrates companies' eco‐efficiency and profitability efficiency to resolve the conflict between environmental issues and production efficiency. It also analyzes in depth the effects of ESG and its three individual factors on eco‐, profitability, and average efficiencies. The diversity of research methods also provides new ideas for future research related to firm efficiency. [ABSTRACT FROM AUTHOR]

Purpose: Consensus on how intellectual capital (IC) affects corporate performance is limited because of various measurement models of IC and corporate performance. This study thus aims to further the debate on the relationship between IC and corporate performance from the perspectives of nonlinearity, the capital values of IC and the use of a holistic measure of corporate performance. Design/methodology/approach: Using 1,395 firm-year observations derived from Vietnamese listed companies from 2010 to 2018, this study focuses on (1) presenting an IC model benchmarked on value-creating expenses; (2) using a directional distance function (DDF)-based stochastic nonparametric envelopment of data (StoNED) framework to scrutinize multiple performance indicators and the capital values of people, structures and relationships simultaneously; and (3) adopting firm-year cluster-robust regressions to analyze the nonlinear association between IC and corporate performance empirically with an appropriate U test. Findings: Results suggest that human capital (HC), structural capital (SC) and relational capital (RC) are the main contributors of high corporate efficiency, whereas only HC and RC contribute to high corporate profitability. These results are absent when this study employs the conventional data envelopment analysis (DEA), which is also a multidimensional framework, as the dependent variable. More importantly, IC and its components can improve corporate performance, namely, both corporate efficiency and corporate profitability up to a critical point, after which the effects would drop. Practical implications: Overall, this study highlights not only the need to invest in IC but also its associated costs. That is, policymakers also need to note the marginal cost of investing in IC, which may in the end outweigh the benefits from IC. Originality/value: This study extends IC-related studies by investigating the nonlinear relationship between IC and corporate performance. Moreover, the value of this study also lies in the multidimensional DDF-based StoNED framework. [ABSTRACT FROM AUTHOR]

This paper explores whether the recognition of asset impairments provides an opportunity for earnings management by examining changes in the performance. First, we apply a dynamic data envelopment analysis model to evaluate the operating performance of Taiwanese electronics firms for the period from 2004 to 2013. Statistical tests are next applied to assess the average efficiency variation between the periods before and after firms recognise asset impairments. Several empirical findings are as follows: managers recognise asset impairments when their firms have poor performance as compared to other firms that do not record any asset impairments recognition, and that their performance keeps on improving in both the year of recognising asset impairments and the year after asset impairments recognition. That is, managers tend to recognise asset impairments to improve operating performance, while the firms are performing poorly, supporting the opportunistic behaviour theory. [ABSTRACT FROM AUTHOR]

This paper establishes an industrial upgrading model by dividing the industrial upgrading process into two: the foundation–construction and industrial upgrading stages. Eighty‐one sample countries, from 2006 to 2012, were divided into two groups according to their degree of market freedom. The meta‐frontier method was employed to explore technology gaps in the groups caused by the different markets. It was found that emerging economies with a free market have a better upgrading performance than those with a restricted market, and the efficiency gap between the two groups was seen to be continually increasing. [ABSTRACT FROM AUTHOR]

This study explores the economic performance that vicarious warfare can bring for the aerospace and defence industry. First, this study measures the performance of 22 companies using a nonradial dynamic data envelopment analysis model from 2011 to 2017. Second, this study evaluates whether vicarious warfare can influence the performance. The efficiency analysis suggests rooms for improvements meanwhile, the projection analysis suggests that market value should be significantly increased, and the number of employees should be reduced significantly. The regression analysis suggests that the number of times a country takes a side in wars would positively affect the efficiency of companies. [ABSTRACT FROM AUTHOR]

This paper reconciles diverse efficiency measures to characterize the productivity efficiency of Taiwan's integrated circuits (IC) packaging/testing firms. Productivity efficiency ratings should be considered as a key element for achieving greater business performance and a better market position. This study applies the Data Envelopment Analysis (DEA) approach with the classical radial measure, non-radial efficiency measure and efficiency achievement measure, respectively, combining multiple outputs and inputs to measure the magnitude of performance differences between the IC firms. The empirical result reveals that the overall technical inefficiencies of the firms are primarily due to pure technical inefficiencies rather than scale inefficiencies. A scale problem really does exist in these IC packaging/testing firms, which can be treated as support for future mergers and acquisitions between the firms. The operating efficiency of the IC packaging/testing firms is negatively related to the market-entry time of these firms. In addition, the empirical results in this study indicate that the non-radial efficiency model and the efficiency achievement model can provide more discriminate efficiency measures for the IC firms, while the traditional radial efficiency model can rank the firms by their scale efficiencies as well as analyze the scale profits of the firms. [ABSTRACT FROM AUTHOR]