Search Results (32)

This paper examines the moderating effect of corporate digital transformation in the relationship between audit quality and aggressive tax avoidance in the sample of industrial companies listed on the ASE and operating during the 2020–2025 period. They were based on data of a balanced panel of 30 industrial companies listed on the ASE 180 observations. The primary estimator used was the feasible generalized least squares (FGLS) method that was employed after it was established that first-order autocorrelation, groupwise heteroskedasticity, and partial cross-sectional dependence existed. System-GMM estimator was used to confirm the robustness of the results, and to deal with the endogeneity that may arise due to reverse causality between auditor selection and result. There are three key findings of the study. First, there is a strong and consistent negative relationship between affiliation with one of the Big Four audit firms and aggressive tax avoidance in all the models studied, confirming that reputation-based audit quality is an effective institutional deterrent a finding of particular importance given that 73.3% of the Jordanian industrial firms in the sample rely on local auditors and therefore lack similar governance controls. Second, aggressive tax avoidance is positively related to higher audit fees, which are indicative of a more complex client base and an economic dependence on clients by the auditor, rather than a signal of greater monitoring rigour and, therefore, as a challenge to the fee-as-quality assumption common to the developed-market framework. Third, although digital transformation demonstrates a direct positive correlation with aggressive tax avoidance—indicating that firms can use digital capabilities to enhance tax planning and not compliance in the pre-JoFotara regulatory environment—its moderating effect on Big Four affiliation is not statistically significant. It is important to note that the relationship between the intensity of audit fees and digital transformation is positively significant, which is in line with the economic dependence argument. The implications of the findings are important to the Jordan Securities Commission, the tax authorities as well as regulatory bodies who are looking to enhance corporate tax compliance in a dynamic digital regulatory environment, and raise important questions of the portability of audit quality assumptions across institutional settings. Full article

Econometric estimation of panel data models by feasible generalized least squares (FGLS) provides an example of how conceptually simple problems may run into computational bottlenecks. I address the main computational tasks of FGLS within the R system for statistical computing, comparing different tools from the point of view of computational efficiency. I concentrate on estimating two models: the popular “random effects” with two error components and the less restrictive “general GLS” specification, which does not fit into the standard computational framework usually employed for the former. I compare the standard solution (partial time demeaning) with two alternative strategies, based respectively on algebraic properties and on object-oriented programming. I show how, while naive implementations become infeasible with large datasets, both list operators and object-oriented matrix routines available in the R environment make the problem tractable for most practically relevant sample sizes on any machine. I conclude by briefly discussing the parallelization of critical tasks. Full article

Environmental research and development (R&D) support environmental improvement by advancing cleaner technologies, improving resource efficiency, reducing emissions, and helping firms meet sustainability goals and regulatory standards. This study examines the effect of environmental R&D on firms’ environmental performance and considers whether firm characteristics, specifically age and size, moderate this relationship. Using purposive sampling based on defined inclusion and exclusion criteria, the analysis draws on data for 303 non-financial firms listed on the Frankfurt Stock Exchange between 2007 and 2024, obtained from Refinitiv DataStream. Diagnostic tests revealed cross-sectional dependence, heterogeneity, and endogeneity in the dataset. To address these issues and ensure robust estimates, the Common Correlated Effects Mean Group (CCEMG), Feasible Generalized Least Squares (FGLS), and two-step difference Generalized Method of Moments (GMM) estimators were employed. The results show that environmental R&D has a positive and significant effect on environmental performance. Firm age and size further strengthen this relationship, indicating that older and larger firms benefit more from environmental R&D initiatives. The study recommends that firms increase investment in environmental R&D to stimulate innovation, enhance sustainable practices, and improve ecological outcomes. Policymakers should also encourage eco-innovation by developing supportive regulations, offering financial incentives for green technologies, and promoting sustainable technological advancement. Full article

This study explores the drivers of economic growth in the BRICS economies—Brazil, Russia, India, China, and South Africa—over the period 1994–2024, focusing on the roles of digital infrastructure and financial development. Using a balanced panel, we examine how internet connectivity and access to credit shape growth, both independently and in combination, while accounting for gross fixed capital formation, urbanization, and government expenditure. Given the macro-panel structure, which exhibits heteroskedasticity, serial correlation, and cross-sectional dependence, we employ robust estimation techniques, including Driscoll–Kraay standard errors (DKSE), Feasible Generalized Least Squares (FGLS), and Panel-Corrected Standard Errors (PCSE). To capture potential heterogeneity across different growth scenarios, we further apply the Method of Moments Quantile Regression (MMQR) as a robustness check. Our findings show that both internet connectivity and financial development consistently promote economic growth across all main specifications. Importantly, the interaction between these two factors is also significant, indicating that the benefits of digital infrastructure are stronger in countries with deeper financial systems, and vice versa. Among the control variables, capital accumulation and government spending positively contribute to growth, while urbanization exhibits a negative association, reflecting the structural challenges of rapid urban expansion. MMQR results confirm that these relationships hold across low-, medium-, and high-growth periods, highlighting their broad relevance. These findings highlight the synergistic role of technological and financial development and underscore the importance of integrated policies to sustain long-term, inclusive growth in the BRICS economies. This study suggests that policymakers should adopt integrated strategies that enhance digital connectivity, deepen financial development, and support productive public investment to sustain inclusive and resilient economic growth. Full article

Exchange rate volatility creates uncertainty for firms in open economies, especially in emerging markets with structural vulnerability and shallow financial markets. This work examines the impact of exchange rate volatility on the cash-flow performance of non-financial firms in the Middle East and North Africa (MENA) region of 292 firms across 11 countries from 2014 to 2023. Heteroskedasticity, serial correlation and cross-sectional dependence were estimated using fixed effects, random effects and robustness estimation using Driscoll–Kraay standard errors and Feasible Generalized Least Squares (FGLS). Exchange rate volatility has no statistically significant impact on corporate cash flows across all specifications, confirming the existence of an exchange rate exposure puzzle in emerging markets. Firm size always appears to be the strongest and most robust predictor of liquidity performance. The macroeconomic growth effect is weaker and context dependent: It is insignificant with baseline panel estimations, is negative with Driscoll–Kraay corrections and is marginally positive with FGLS structural controls. Profitability and inflation are virtually nonexistent. These insights inform both financial risk management and policy actions aimed at enhancing corporate stability and supporting sustainable development in emerging markets. Full article

This paper re-examines the role of trade and FDI inflows in accelerating the process of industrial growth involving countries belonging to the “Association of Southeast Asian Nations (ASEAN)” region. Trade openness and foreign direct investment (FDI) have improved the growth performance of numerous economies and regions over the years. However, the specific role of both trade openness and FDI inflows in advancing the industrial growth process of economies has yet to be investigated in the case of economies belonging to ASEAN. This study analyzes data from 2000 to 2023 and employs several relevant econometric tools, including the “Pooled Ordinary Least Squares (POLS)”, “Fixed Effects Filter (FEF)”, “Feasible Generalized Least Squares (FGLS)” and “Two Stages Least Squares (TSLS)”, to assess the specific impact of both trade openness and FDI inflows on industrial growth. Our findings show that both trade openness and FDI have advanced the industrial growth of ASEAN member economies. In terms of relative importance, the impact of trade openness is higher as compared to FDI inflows on the industrial sector. Similarly, the results demonstrate that the industrial growth of ASEAN economies could be explained positively by increased domestic investment and government expenditures. Moreover, our results indicate that the inflation rate and the natural resource sector have adversely impacted industrial growth. Finally, the labor force has not had the desirable positive impact on the industrial progress of ASEAN economies. The obtained results are robust across alternative specifications and estimation techniques. Therefore, our results have important policy implications for ASEAN economies. Full article

Universal Health Coverage (UHC) remains a core Sustainable Development Goal challenge for Arab nations, with structural inequalities and conflict ongoing in threatening equal access to health. Although literature concurs on the presence of a relationship between UHC and financial inclusion, contextual mechanisms underpinning this relationship remain poorly understood. This study offers an integrated Explainable AI (XAI)–Econometric methodology to unveil how financial inclusion—through digital as well as physical channels for services—drives UHC progress in 17 Arab nations (2011–2022). With the use of Feasible Generalized Least Squares (FGLS), Panel-Corrected Standard Errors (PCSE), and Random Forest regression with SHAP (SHapley Additive exPlanations) values, we estimate both average causal and heterogeneous contextual effects. The combined model increases predictive strength by 18% over conventional econometric baselines (R² = 0.83), while the SHAP results identified top predicators. The findings suggest that ATM density and electricity access remain the overriding drivers of UHC whereas digital financial services play a role only with the complement of strong public health expenditures. The diagnostic result allows policymakers to designate country-specific challenges and prioritize joint investments in infrastructure and inclusive finance. While data constraints in conflict settings need cautious interpretation, the proposed XAI–econometric strategy supplies a replicable methodology template for contextualized SDG diagnostics. Full article

Europe’s decarbonization calls for an increase in the resources used to ensure a fairer transition. The objective of this study is to evaluate the role of public finance in the decarbonization process, considering the context of various uncertainties. Data from 1995 to 2023 for selected European countries were analyzed in this sense. We used the cross-sectional dependence–consistent Driscoll–Kraay estimator as the main econometric approach and Feasible Generalized Least Squares (FGLS) as a robustness test. The results revealed a positive impact of public debt, world uncertainty, and gross domestic product on renewable energy usage in European countries. Additionally, general fiscal pressure is shown to have a negative impact on the renewable energy used during the analyzed period. The results showcase the importance of public finance tools adjustments in supporting the race to zero breakthroughs and dawdling climate change. Several policy recommendations were made in this regard. Full article

International tourism has helped numerous economies and regions over the years in achieving the objective of long-term sustainable economic growth. The “Association of Southeast Asian Nations (ASEAN)” is the rising hub for international tourism due to its rich history, rich vibrant culture, pleasant weather conditions, and beautiful landscape. However, research evidence about the tourism-growth relationship in the context of ASEAN economies is indeed very scarce. Accordingly, this research paper focuses on the members of the ASEAN region to examine the true influence that international tourism has on economic growth. Relevant econometric technique such as the “Fixed Effects (FEF)” is chosen for analysis based on the Hausman test, “Feasible Generalized Least Squares (FGLS)” is used for robustness, and “Two Stages Least Squares (2SLS)” is employed for tackling the likely endogeneity issue. The results show that international tourism has contributed positively to the economic growth of the ASEAN economies. Similarly, openness to global trade and education have also helped the ASEAN economies in securing long run sustainable economic growth. Lastly, the inflation rate has decelerated the pace of economic growth, while government expenditures have accelerated the pace of economic growth among ASEAN members. Our empirical findings are robust to alternative model specifications and alternative econometric estimations. Therefore, we expect our empirical findings to help the policymakers of the ASEAN economies in developing suitable policy responses regarding the growth performance of their economies through the channel of international tourism. Full article

This study examines the influence of economic growth, energy consumption, a shadow economy, and foreign direct investment (FDI) on the ecological footprint in ASEAN countries. The analysis covers a panel of nine member states—Brunei, Cambodia, Indonesia, Lao PDR, Malaysia, the Philippines, Singapore, Thailand, and Vietnam—over the period from 1993 to 2017 due to data availability. To ensure robustness, various panel econometric techniques were employed, including cross-sectional dependence, panel unit root, and cointegration tests, as well as estimation methods such as Driscoll–Kraay standard errors, feasible generalized least squares (FGLS), and panel-corrected standard errors (PCSE). The results do not support an inverted U-shaped Environmental Kuznets Curve (EKC) between economic growth and ecological footprint in the ASEAN countries. Moreover, the findings consistently show that energy consumption, the size of the shadow economy, and FDI exert a statistically significant and positive impact on the ecological footprint towards the Driscoll–Kraay standard errors, FGLSs, and PCSE estimators. For policy recommendations, a country’s pursuit of economic growth should be aligned with a higher degree of environmental sustainability by strategically reducing energy consumption, curbing the shadow economy, and managing foreign direct investment responsibly. Full article

Banks in the United States face persistent challenges from non-performing loans (NPLs), despite conducting thorough client evaluations before issuing loans. To mitigate the impact of NPLs and support both local and global growth, banks must adopt effective risk management strategies. This study investigates the effect of NPLs on bank growth and the moderating of bank size and Capital Adequacy Ratio (CAR) through the lens of the Resource-Based View (RBV) theory. A sample of 253 banks listed on the New York Stock Exchange from 2006 to 2023 was selected using specific inclusion criteria from the Thomson Reuters Eikon DataStream. To address cross-sectional dependence and endogeneity, advanced estimation techniques—Feasible Generalized Least Squares (FGLS), Driscoll and Kraay standard errors, and the Generalized Method of Moments (GMM)—were employed. The results show that NPLs have a significant negative impact on banks’ asset and income growth. Furthermore, bank size and capital adequacy ratio (CAR) negatively and significantly moderate this relationship. These findings underscore the need for banks to enhance credit risk management by strengthening loan approval processes and leveraging advanced analytics to assess borrower risk more accurately. Full article

The rapid economic growth in major coal-consuming countries has often come at the cost of environmental quality and social well-being. This study is urgently needed to provide empirical evidence on how such growth impacts sustainable development, helping policymakers balance economic progress with environmental protection and social welfare in an era of increasing climate concerns. Despite growing attention on sustainability, few studies have examined how key economic-environmental transformation drivers, such as coal consumption, financial development, globalization, urbanization, and economic growth, affect social sustainability. This study addresses this gap by analyzing the impact of these drivers on social sustainability in the world’s leading coal-consuming countries, as classified by Global Firepower. Using data from ten major coal-consuming nations between 1991 and 2022, sourced from the International Monetary Fund (IMF), KOF Swiss Economic Institute, the BP Statistical Review of World Energy, the World Bank’s World Development Indicators (WDIs), and the United Nations Development Programme (UNDP), the study applies advanced estimation techniques, including the Augmented Mean Group (AMG) and Feasible Generalized Least Squares (FGLS), to address cross-sectional dependence and slope heterogeneity. The results indicate that coal consumption has a negative and significant effect on social sustainability. In contrast, financial development, globalization, urbanization, and economic growth all show positive and significant effects. These findings highlight the urgent need for deliberate policy reforms to support a socially inclusive energy transition. Policymakers in major coal-consuming countries should invest in clean energy, fund worker retraining and community health, promote green innovation, and encourage private sector and stakeholder collaboration for a just, sustainable transition. Such measures are vital for coal-dependent countries to balance economic progress with social well-being. This study is the first to quantify social sustainability using the HDI, addressing a gap in the literature concerning the relationship between coal consumption and social development, thereby providing a quantitative basis for formulating policies that balance equity and decarbonization. Full article

This study examines the impact of research and development (R&D) on productivity outcomes across South African industries. Drawing on an industry-level panel dataset covering 66 industries (6 mining, 37 manufacturing, and 23 services) stretching from 1993 to 2023, the study estimates how a change in the initial R&D stock affects labor and capital productivity over a five-year horizon using the Feasible Generalized Least Squares (FGLS) method. The results reveal a positive but weak elasticity of labor productivity to R&D stock (0.01–0.02%), consistent with existing literature. The effects on capital productivity are even lower (0.003–0.005%), suggesting that R&D more directly enhances labor productivity than capital. Sectoral estimations indicate that R&D has no significant effect on labor productivity in mining but a strong productivity effect in manufacturing and services—twice as large in the latter. In contrast, capital productivity gains are only evident in mining. Additionally, the study finds that R&D effects are larger in technology-intensive industries, and the productivity benefits increase with the share of skilled workers, underscoring the importance of absorptive capacity. Overall, the findings suggest that while R&D matters for productivity, its returns are stronger in human capital- and technology-intensive industries. Full article

This study examines the impact of inward foreign direct investment (FDI) on economic growth in South and Southeast Asia from 2006 to 2022, using a comprehensive panel dataset and multiple econometric techniques. The baseline estimation employs Feasible Generalized Least Squares (FGLS), with robustness checks using Fixed Effects with Driscoll–Kraay standard errors, the Common Correlated Effects Mean Group (CCEMG) estimator, and Two-Stage Least Squares (2SLS). The results consistently show that FDI and Gross Capital Formation (GCF) significantly promote growth, while the Human Capital Index (HCI), Trade Openness (TO), and Inflation (I) have limited or adverse effects. Government spending (GS) is negatively associated with growth, suggesting inefficiencies in public resource allocation. The findings underscore the importance of enhancing absorptive capacity through investments in education, institutional quality, and trade facilitation. Policy recommendations include adopting performance-based budgeting and independent audits, drawing on Malaysia’s anti-corruption and audit reforms. To address the weak impact of human capital, this study advocates for expanding public–private partnerships in technical and vocational education, modelled on Singapore’s SkillsFuture initiative. Additionally, digital investment platforms like Indonesia’s Online Single Submission (OSS) system and infrastructure upgrades are recommended to reduce trade costs and improve the investment climate. Finally, the study calls for deeper regional integration through harmonized investment regulations under the ASEAN Comprehensive Investment Agreement (ACIA) and the development of cross-border special economic zones (SEZs). These recommendations are grounded in empirical evidence and tailored to the region’s structural characteristics, offering actionable insights for policy-makers. Full article

This study explores how corporate social responsibility (CSR) disclosure contributes to sustainable value creation by enhancing intellectual capital (IC) and investigates the moderating role of institutional ownership (IIOW) in this relationship. Using a panel dataset of 828 firm-year observations from non-financial Saudi companies listed on the Saudi Stock Exchange (Tadawul) between 2016 and 2021, the analysis applies feasible generalized least squares (FGLS) regression to test the proposed relationships. The findings reveal a significant positive association between CSR disclosure and IC, underscoring the strategic importance of CSR in building intangible corporate assets. Moreover, IIOW strengthens this association, suggesting that IIOW plays a critical role in promoting sustainability-oriented practices. Robustness checks using alternative proxies and estimation techniques confirm the validity of the results. This study provides novel empirical evidence from Saudi Arabia, contributing to the CSR and IC literature in emerging markets and offering practical insights for policymakers, investors, and corporate leaders aiming to foster long-term organizational resilience. Full article