Search

Purpose: This study aims to examine the influence of voluntary disclosure on bank value in Pakistan, considering the moderating effect of corporate governance characteristics: ownership control, board independence and board size. Design/methodology/approach: The study uses data from 20 listed Pakistani banks for the period 2011–2021. The estimation contains robust fixed effect and its assumptions, and a model of standard error with panel corrections. Findings: The findings revealed a weak positive impact of voluntary disclosure on bank value. However, the increase in the number of independent directors strengthens the positive impact of voluntary disclosure on a bank's value. Conversely, increasing the ownership concentration, and board size (other than independent directors) may strongly decrease the impact of voluntary disclosure on a bank's value in Pakistan. Research limitations/implications: The study's limitations include its exclusive focus on the Pakistani banking industry. Future research should take into account newer contexts and data. The findings suggest that future research should investigate the topic in various contexts, including a comparison of Islamic and conventional banks. Practical implications: The practical implications for Pakistani banks emphasize transparency, board composition and ownership structure. In terms of managerial implications, using independent directors, aligning ownership interests and addressing disclosure challenges are highlighted. Originality/value: Focusing on independent directors, ownership concentration and board size, this study enhances knowledge of the impact of voluntary disclosure on bank value in Pakistan. It contributes to agency theory and the literature in this domain. [ABSTRACT FROM AUTHOR]

As economies increasingly rely on digitalization, information and communication technologies (ICT) have become critical in shaping global economic transformations. This study explores the impact of ICT on export concentration and diversification in emerging markets and developing countries. Using a panel data set of 110 countries from 2000 to 2019, the Generalized Method of Moments (GMM) estimator has been employed to assess the short- and long-term effects of ICT on these economies. To summarize information on various ICT channels, an ICT index has been constructed through principal component analysis (PCA). Additionally, the study examines the combined influence of ICT and human capital on export concentration. Findings indicate that ICT development significantly accelerates export diversification in developing countries, aligning their export structures with global standards. The interaction between ICT and human capital positively impacts export concentration, suggesting that higher levels of human capital enhance ICT's effects. Overall, ICT not only boosts human capital but also equips developing countries with the skills needed to enter new markets, develop high-value products, and compete globally. Consequently, governments in developing countries should prioritize investments in ICT infrastructure to lower trade costs, diversify exports, and promote sustainable economic growth. [ABSTRACT FROM AUTHOR]

Abstract.To facilitate semiparametric estimation of general discrete-choice, censored, sample selection, and other complex panel data models, we study identification and estimation of nonseparable multiple-index models in panel data with correlated random effects and a fixed number of time periods. The parameter vectors of interest are shown to be identified up to multiplicative constants and the average marginal effects are identified under the assumption that the distribution of individual effects depends on the explanatory variables only through their averages across time. Under this assumption, we propose to estimate the unknown parameters by the generalized method of moments based on the average and outer product of the difference of derivatives of the regression function. The rate of convergence and asymptotic distribution is established both for the proposed parameter estimates and the average marginal effects. We conduct Monte Carlo simulation studies to assess finite-sample performance of the proposed estimator. We also use it to model dynamic earnings of women, and using our general identification results, we find a negative effect of the number of children not only on the selection into employment as usual, but also on the average earnings. [ABSTRACT FROM AUTHOR]

Many firm-level studies use aggregate uncertainty to proxy for firm-level uncertainty. Providing support for this strategy, we analyse the extent to which firm-level uncertainty is affected by aggregate uncertainty. Firm-level uncertainty is constructed from a large and monthly panel dataset of manufacturing firms. We find that aggregate uncertainty is associated positively and robustly with firm-level uncertainty. This correlation holds across different types of domestic and international measures of aggregate uncertainty. However, the extent of the correlations is heterogeneous and depends on certain firm characteristics and the state of the business cycle. For example, the widely used economic policy uncertainty index matters to all firms' uncertainty only in recessionary periods, while it is relevant over the entire business cycle only to large firms' uncertainty. [ABSTRACT FROM AUTHOR]

We study the impact of socioeconomic factors on two key parameters of epidemic dynamics. Specifically, we investigate a parameter capturing the rate of deceleration at the very start of an epidemic, and a parameter that reflects the pre-peak and post-peak dynamics at the turning point of an epidemic like coronavirus disease 2019 (COVID-19). We find two important results. The policies to fight COVID-19 (such as social distancing and containment) have been effective in reducing the overall number of new infections, because they influence not only the epidemic peaks, but also the speed of spread of the disease in its early stages. The second important result of our research concerns the role of healthcare infrastructure. They are just as effective as anti-COVID policies, not only in preventing an epidemic from spreading too quickly at the outset, but also in creating the desired dynamic around peaks: slow spreading, then rapid disappearance. [ABSTRACT FROM AUTHOR]

Purpose: This paper aims to test the empirical validity of the dynamic trade-off theory in its symmetric and asymmetric versions in explaining the capital structure of a panel of publicly listed US industrial firms over the period from 2013 to 2019. It analyzes the existence of an adjustment of leverage toward its target level and whether the speed of this adjustment is influenced by the debt measure, the model specification or/and the fact that the actual debt ratio is higher or lower than its long-term target level. Design/methodology/approach: This paper uses a quantitative research methodology using panel data analysis under the partial adjustment model and the error correction model using the generalized moment method in first differences and in systems to explore the dynamic nature of firms' capital structure behavior. Findings: The results show that the effects of the conventional determinants of leverage are globally consistent with the trade-off theory predictions. The dynamic versions confirm that firms exhibit leverage-targeting behavior. Although this speed of adjustment (SOA) depends on the debt and model specifications, it is around 60% on average. The estimated SOA is higher for the market leverage measure compared to the book leverage. The asymmetric adjustment model reveals that firms are more sensitive to reducing leverage than increasing it when they are away from their target; overleveraged firms exhibit approximately 5% faster adjustment than underleveraged firms when book leverage is used. Originality/value: The originality of this research paper lies in its development and test of an asymmetric model to allow the leverage adjustment speed to vary depending on whether the firm's debt ratio is above or below its target level and the methodological approach as well as the different model specifications used and the insights generated through the application of rigorous econometric techniques. [ABSTRACT FROM AUTHOR]

This research examines the impact of economic policy uncertainty, GDP, population and renewable energy consumption on CO2 emissions in BRIC countries from 1991 to 2023. The objective is to understand the long-term relationships among these variables and provide relevant insights. Using fully modified ordinary least squares and dynamic ordinary least squares econometric methods, the findings reveal that GDP and population growth significantly increase CO2 emissions, while renewable energy consumption reduces them. The panel autoregressive distributed lag results highlight the need for policies promoting renewable energy and managing population growth to mitigate environmental impacts. Notably, economic policy uncertainty also contributes to higher emissions, underscoring the importance of stable economic policies. [ABSTRACT FROM AUTHOR]

The paper investigates whether public debt explains income inequality in several Sub-Saharan African (SSA) countries. The core method employed is the Bayesian Model Averaging (BMA) estimator, which uses a dataset covering the period 1997–2019. The key findings reveal that public debt tends to reduce inequality among the poor but may harm the rich in the WAEMU region. Public debt generally has a neutral impact on inequality in EMCCA but can improve income distribution among the rich under stringent corruption control. In terms of contributions, the paper is one of the first works that examine how public debt impacts inequality in the Sub-Saharan African (SSA) countries across different levels of income. Moreover, it explores the intricate relationship among public debt, socio-economic characteristics, corruption, and inequality within the region. [ABSTRACT FROM AUTHOR]

AbstractIn this study, we consider 2- and 3-step estimators for censored quantile regression models with fixed effects. In the first step of these estimators, the informative subset is determined through the estimation of censoring probability. While previous studies often employ symmetric link functions for estimating the censoring probability, these may not accurately identify the best subset when the distribution of the censoring probability is skewed. Given the prevalence of asymmetrically censored data in empirical analyses, we propose using an asymmetric link function for more accurate subset determination. We conduct Monte Carlo simulations and empirical analysis to assess our proposed methods. Our Monte Carlo simulations and empirical analysis confirm that an asymmetric link function offers a better fit for asymmetrically censored data. For symmetrically censored data, the symmetric link function performs better in moderate and large samples, while the asymmetric link function performs slightly better in small samples. These findings underscore the importance of considering both the censoring probability distribution and sample size in panel quantile regression. [ABSTRACT FROM AUTHOR]

Since the seminal work of MM irrelevance theory, there has been a long history of controversy among academicians both in developed and developing nations regarding the determinants of capital structure. To this end, the main aim of this study was to investigate firm-specific and country-level determinants of the capital structure of Ethiopian commercial banks. The study adopted an explanatory research design with a quantitative research approach. A panel dataset was obtained from 14 commercial banks, which range from 2010 to 2022. A random effect panel regression result revealed that tangibility, non-debt tax shields, growth, and interest rate had a positive and significant effect, while the gross domestic product had a negative and significant effect on leverage which is used as a measure of capital structure. Among the independent variables tested, ROA, liquidity, effective tax rate, risk, and inflation have an insignificant effect on the capital structure of the selected commercial banks. The study will have implications for managers of commercial banks, legislators, regulators, and other interested parties that can use the study's conclusions to help them make well-informed capital decisions and implement the necessary measures to enhance the financial performance of Ethiopian banks with an optimal ratio of debt to equity. [ABSTRACT FROM AUTHOR]

This paper presents a model that examines sports teams' strategic choices about the extent of offense/defense to adopt in competing with other teams. The mathematical formulation adopted permits the derivation of a team's optimal strategy under different game scenarios (current score and time left to play), and team characteristics (playing at home or away, and each team's quality). A novel feature of the model is that teams can choose a strategy at several moments in the game, thereby incorporating a comprehensive dynamic element. The National Hockey League is used as an application. Optimal coaching behavior is derived in this setting, and the impact of rule changes is assessed. The study found that removing the overtime period, disproportionally increasing the rewards for a win, or removing the point that is currently awarded to the team that loses the shootout at the end of overtime, would all lead to the adoption of more offensive strategies during the game. That outcome is aligned with higher fan interest and team revenue. [ABSTRACT FROM AUTHOR]

Based on a dynamic panel data model, this paper estimates the impact of lockdown policies on inflation with U.S. metropolitan-level data from the Bureau of Labor Statistics. After controlling for the unit/time fixed effects and several aggregate demand/supply shifters, lockdown policies created a mild inflationary effect nationwide, though the individual effect was heterogeneous. This study novelly analyzes the political economy of coronavirus disease policy and the subsequent economic outcomes. In particular, the inflationary impact was most pronounced for Republican-governed states that switched votes from President Trump in 2016 to President (elect) Biden in 2020, suggesting price stability is a source of voting behavior. On the contrary, lockdown policies caused deflation in Democratic-governed states where unemployment rates and public compliance with lockdown measures were presumably higher. The results indicate that the economic consequences of public policies depend critically on the political partisanship of the region. [ABSTRACT FROM AUTHOR]

Introduction: Investments in environmentally friendly initiatives can bolster infrastructure projects, agricultural methods, and water management systems that improve the ability to withstand climate-related difficulties. Green investments encompass endorsing carbon markets and financial instruments that incentivise reducing emissions. This research helps attain the climate objectives described in sustainable development goal 13 (SDG 13). Purpose: This chapter aims to investigate the relationship between greenhouse gases (GHG) and gross domestic product (GDP), with the underlying objective of understanding the relevance of green investment for sustainable development. Methodology: For the analysis, the top five countries: the USA, China, Germany, Japan, and India, were chosen based on the world's largest economies in 2023, as per their GDP data. For testing the hypothesis, data from the World Bank database during the period 2002-2022 was retrieved and GDP is used as a dependent variable and GHG as an independent variable. For the study, panel data are used, and the Johansen cointegration test and ordinary least squares (OLS) regression are applied. Findings: In the case of China and India, the null hypothesis has been rejected, which is depicted by the significant and high degree of relation between GHGs and the GDP of these two countries. The null hypothesis is also rejected for the USA and Germany, but it shows a significant and moderate degree of relationship between GHG and GDP. For Japan, the null hypothesis is accepted and reflects a negative relationship between GHG and GDP. [ABSTRACT FROM AUTHOR]

The paper analyses the determinants of green development in the Central and Eastern European (CEE) countries pointing out the influence of the sophistication of productive structure and exported goods (economic complexity). The study uses OECD data regarding green development, World Bank Indicators, World Penn Table Data, and MIT Harvard data covering the period of 1996 to 2020, in a heterogeneous panel approach. Fully Modified Ordinary Least Squares (FMOLS) and Dynamic Ordinary Least Squares (DOLS) models are estimated in order to express the influence on green development of the economic complexity index, KOF globalization index, renewable energy consumption, human capital index, and a constructed institutional quality index (computed by using the Principal Component Analysis based on data from World Governance Indicators). All considered variables have a validated statistical influence on green growth in both models. The Dumitrescu-Hurlin causality test revealed a bidirectional causal relationship between institutional quality and green growth and unidirectional ones from economic complexity, human capital and renewable energy to green development and from green development to globalization. Policy implications are also provided.

ABSTRACTBuilding on the literature underscoring the importance of lending relationships and the role of banks’ structural and organisational features in favouring firms’ access to credit, we investigate the effect of branch closures on firms’ birth rates in the Italian local credit markets in 2000–2020. Despite the potential relevance, the implications of de-branching activity have received modest attention from scholars thus far. By employing various measures of branch closures and econometric methodologies, we find that the de-branching process negatively affects the establishment of new firms, and this detrimental impact appears stronger as the closures involve older branches. The results also show that our main findings seem ascribable to the closures carried out by large/medium-sized banks. As a policy implication, our work suggests that – although driven by technological transformations and banks’ necessity to rationalise costs – authorities should consider the potential negative consequences that bank de-branching may entail for new business creation.

As a central hub for global commodity trade, the Asia-Pacific region has increasingly contributed to global economic growth. This study examines the impact of recently enacted mega Free Trade Agreements (FTAs) in the region, namely, the Regional Comprehensive Economic Partnership (RCEP) and the Comprehensive and Progressive Trans-Pacific Partnership (CPTPP). Employing the Poisson pseudo-maximum likelihood (PPML) estimator and Poisson generalized estimating equations (GEE) within an Augmented Gravity Model with four-way fixed effects, this study analyzes trade data from 2003 to 2023 across 19 member countries and conducts endogeneity and robustness tests on the results. The empirical findings are unable to demonstrate that the main effects of RCEP and CPTPP have statistically significant impact on trade flows. However, the interaction effects of RCEP and CPTPP significantly boosted the bilateral trade flows (excluding non-agricultural exports) of overlapping member countries, particularly in agricultural exports, which increased by 21.81%. These results underscore the critical role of Asia-Pacific economic integration in facilitating trade cooperation and highlight the complexities that mega FTAs encounter in facing geopolitical issues. Despite political challenges, the RCEP and CPTPP positively affect trade relations and economic development. [ABSTRACT FROM AUTHOR]

Purpose: The purpose of this study is to investigate whether and how inter-firm cooperation and firm age moderate the relationship between family ownership and productivity. Design/methodology/approach: We first estimate the total factor productivity (TFP) of a large sample of Italian firms observed over the period 2010–2018 and then apply a Poisson random effects model. Findings: TFP is, on average, higher for non-family firms (non-FFs) than for FF. Furthermore, inter-organizational cooperation and firm age mitigate the negative effect of family ownership. In detail, it is found that belonging to a network acts as a moderator in different ways according to firm age. Indeed, young FFs underperform non-FF peers, although the TFP gap decreases with age. In contrast, the benefits of a formal network are high for older FFs, suggesting that an age-related learning process is at work. Practical implications: The study provides evidence that FFs can outperform non-FFs when they move away from Socio-Emotional Wealth-centered reference points and exploit knowledge flows arising from high levels of social capital. In the case of mature FFs, networking is a driver of TFP, allowing them to acquire external resources. Since FFs often do not have sufficient in-house knowledge and resources, they must be aware of the value of business cooperation. While preserving the familiar identity of small companies, networks grant FFs the competitive and scale advantages of being large. Originality/value: Despite the wide but ambiguous body of research on the performance gap between FFs and non-FFs, little is known about the role of FFs' heterogeneity. This study has proven successful in detecting age as a factor in heterogeneity, specifically to explain the network effect on the link between ownership and TFP. Based on a representative sample, the study provides a solid framework for FFs, policymakers and academic research on family-owned companies. [ABSTRACT FROM AUTHOR]

Purpose: In this paper, the heterogeneity of the linkages among financial development, productivity and growth across income groups is emphasized. Design/methodology/approach: An empirical analysis is conducted with an illustrative sample of 130 economies over the period 1991–2019 and classified into four subsamples: Organisation for Economic Co-operation and Development (OECD), developing, least developed and net food importing developing countries. Forecast error variance decompositions and panel vector auto-regressive estimations are computed, with insightful findings. Findings: Higher levels of output stimulate the economic development in the agricultural sector, mainly via the productivity channel and, in the most developed economies, also through access to credit. Differently, in developing and least developed economies, the role of access to credit is marginal. The findings have practical implications for stakeholders involved in the planning of long-run investments. In less developed economies, priorities should be given to investments in technology and innovation, whereas financial markets are more suited to boost the development of the agricultural sector of developed economies. Originality/value: The authors conclude on the credit–output–productivity nexus and contribute to the literature in (at least) three ways. First, they assess how credit access, agricultural output and agricultural productivity are jointly determined. Second, they use a novel approach, which departs from most of the case studies based on single-country data. Third, they conclude on potential causality links to conclude on policy implications. [ABSTRACT FROM AUTHOR]

This study examines whether the effect of oil prices on economic growth is influenced by the level of corruption. I focus on 30 oil-rich economies and employ dynamic heterogeneous panel estimation techniques to address the issue of cross-sectional dependence. Evidence from the study reveals that the impact of oil prices on growth varies with corruption levels. Specifically, the marginal effect of oil prices on growth is positive at low levels of corruption but hampers immediate and long-term growth at high levels of corruption. Essentially, the results indicate that a simultaneous increase in oil prices and corruption impairs growth, whereas increase in oil prices coupled with a reduction in corruption benefits the economy more. Using a disaggregated sample of countries based on their corruption levels, the results suggest that the adverse effect of simultaneous increases in oil prices and corruption is more pronounced in oil-rich countries with higher levels of corruption compared to those with lower levels. The study implies that the level of corruption is a crucial factor in how changes in oil prices impact long-term growth in oil-rich economies. Therefore, for sustainable long-term economic growth, an increase in oil prices must be accompanied by a significant reduction in corruption. [ABSTRACT FROM AUTHOR]

Since fossil fuel consumption drives environmental degradation, existing studies highlight the role of clean energy development in climate change mitigation. The emerging economies can mitigate climate change and also achieve sustainable development if they focus on innovation-led renewable energy development. In this context, this study is motivated to analyze the impact of domestic and overseas innovations (i.e., resident and non-resident) on renewable energy generation for 16 emerging market economies by employing balanced panel data from 1996 to 2019. This study incorporates financial development, regulatory quality, and real economic growth as crucial control variables in renewable energy generation function. The long-run results of the PMG-ARDL estimation technique show the positive (negative) impact of domestic (overseas) innovation on renewable energy generation, while regulatory quality, financial development, and economic growth promote it. Our results are robust across FGLS, Driscoll–Kraay standard error, and dynamic GMM estimation techniques. The policy implications are also discussed. [ABSTRACT FROM AUTHOR]

The nexus between the terms of trade and marginal propensity to import and the consequent policy options arising from it among economic blocs is an area that has not been given due attention in the literature. The focus of the current paper is to examine the link between the marginal propensity to import and the terms of trade in the East African Community (EAC).

Understanding the rationale for macroeconomic policy coordination with the aim of achieving greater policy credibility and effectiveness in West Africa still remains the subject of debate.

It is commonly accepted that the success and expansion of insurance companies’ underwriting operations, which is indicated by the premiums received from insurance policies, is reflected in their profitability rates. During the period of 2010 to 2021, Iraqi insurance companies in the private sector that are listed on the Iraq Stock Exchange experienced a fluctuation in the increase and noticeable decrease of gross written premiums, which had a negative impact on their profitability ratios. The aim of this investigation is to analyze the underwriting activities carried out by all insurance companies that are publicly listed on the Iraq Stock Exchange spanning from 2010 to 2021, and assess the impact of these activities on the companies’ profitability rates. To evaluate the profitability of these firms, three indicators are used, namely the rate of return on assets, return on equity, and profit margin ratio. The study employs Data Panel models using Eviews 12 to identify the research samples during the study period. Additionally, the pooled regression model is used to compare the findings and test the hypotheses of the study. In a structured manner, data is collected from the annual reports released by the Iraq Stock Exchange. The statistical examination of the findings reveals that the gross written premium has a significant and positive influence on all of the profitability ratios that were evaluated in this study, namely the rate of return on assets, return on equity, and profit margin ratio.

AbstractWe propose a novel bootstrap procedure for conducting inference for factor model-based average treatment effects estimators. Our method overcomes bias inherent to existing bootstrap procedures and substantially improves upon existing large sample normal inference theory in small sample settings. The finite sample improvements arising from the use of our proposed procedure are illustrated via a set of Monte Carlo simulations, and formal justification for the procedure is outlined. [ABSTRACT FROM AUTHOR]

AbstractThis study aims to investigate how Foreign direct investment (FDI) and trade openness influenced economic growth in BRICS countries from 1990 to 2022, using the Pooled Mean Group Autoregressive Distributed Lag (PMG-ARDL) and System Generalized Method of Moments (System-GMM) methods. Our findings show that these two variables boost economic growth by 0.172, 0.021, 0.291, and 0.072%, respectively. Additionally, the results indicate that BRICS countries have demonstrated greater resilience in terms of FDI and trade before and after the COVID-19 pandemic and the Russia-Ukraine war, underscoring the effectiveness of their investment and trade policies in maintaining economic growth amidst global disruptions. [ABSTRACT FROM AUTHOR]

Cohesion Policy is one of the core policy areas of the European Union and one of the largest expenditure items in its budget. Its impact is the subject of intense academic and policy debate, but its effectiveness is an empirical question still open. This article contributes to this debate by performing a region-specific investigation of the direct and indirect impact of Structural Funds expenditure. We employ a heterogeneous panel data model, which accommodates the spatial dependence in a heterogeneous setting and measures heterogeneous spatial spillover effects, both inward and outward. We also consider different channels of spatial spillovers with respect to standard geographical closeness. In particular, the introduction of new measures of proximity that explicitly consider economic linkages between regions is a novel contribution to the literature. The results clearly indicate that the impact of the Cohesion Policy, while positive overall, is highly heterogeneous and the Structural Funds expenditure generates substantial heterogeneous spatial spillovers: the positive effects do not remain confined to the target regions. Finally, strong spillover effects are channelled by value-added trade connections, particularly in regions belonging to the so-called 'Central European Manufacturing Core'. [ABSTRACT FROM AUTHOR]

Purpose: This study investigates the impact of economic policy uncertainty (EPU) on corporate sustainability [environmental, social and governance (ESG)] performance and aims to explore whether uncertainty-induced sustainability performance is influenced by the firm's life cycle (LC). Design/methodology/approach: The study uses data from European non-financial firms listed during the period from 2002 to 2022 to extend the nascent literature regarding EPU and sustainability performance while applying a dynamic panel data regression analysis (Generalized Method of Moments - GMM System) on 11,462 firm-year observations of 1,869 European firms. Findings: The authors find overwhelming evidence that policy uncertainty affects the sustainability performance of European firms. The firms restrict their environmental and governance-related activities and address immediate issues to survive during periods of high EPU. Conversely, the firms increase their social engagements to decrease uncertainty-induced information asymmetry. The authors' results show that the intensity and type of sustainability performance are also influenced by the firm's LC. The results imply that board gender diversity (BGD) increases while power concentration with the chief executive officer (CEO) decreases sustainability performance. Practical implications: These findings have important implications for policymakers, potential investors, firm management and other stakeholders given the firms' access to resources and preferences to encounter uncertainty vary across different LC stages. Originality/value: To the best of the authors' knowledge, this is the first study that investigates the role of the firm's LC in the relationship between policy uncertainty and sustainability performance in the European context. [ABSTRACT FROM AUTHOR]

This paper investigates the effect of Information Communication Technology (ICT) development on corruption in emerging market economies (EMEs). By employing a system generalized method of moments (GMM) estimator in a dynamic panel data model, we find that ICT development reduces corruption. We have further disaggregated ICT Development into ICT Access and ICT Use. The findings show that ICT access is more effective in reducing the level of corruption as compared to ICT use. From a policy perspective, it is important for emerging countries to practice ICT as one of the tools for controlling corruption in the modern digital era. [ABSTRACT FROM AUTHOR]

Purpose: This study aims to examine the impact of interlocking directorships on firm performance in Turkey, with a specific focus on the moderating role of board diversity. Design/methodology/approach: Using a panel dataset comprising the top 100 firms listed on Borsa Istanbul from 2014 to 2018, this study employs regression analysis to investigate the relationship between interlocking directorships, board diversity, and firm performance. It firm-level financial data and directorship information to assess the effects of interlocking directorships on firm performance while also considering the moderating influence of board diversity. Findings: The findings of this study reveal several important insights. First, the results confirm the "busyness hypothesis" as an increase in the number of interlocks per director negatively impacts firm performance, indicating reduced monitoring effectiveness. However, the study also demonstrates that board diversity plays a significant moderating role. Specifically, board diversity positively influences the relationship between interlocking directorships and firm performance, suggesting that a diverse board can mitigate the negative effects of interlocks and enhance overall firm performance. Originality/value: This study contributes to the existing literature in several ways. First, this study extends our understanding of the relationship between interlocking directorships and firm performance, considering contingency factors in the Turkish market. Second, our findings imply that board diversity mitigates the negative impact of busy interlocking directorates and improves firm performance, which provides invaluable directions to firms in setting their boards. Moreover, this research enhances corporate governance practices in Turkey and beyond in other emerging markets with similar corporate governance mechanisms by identifying the importance of board diversity and its moderating influence. [ABSTRACT FROM AUTHOR]

This study examines the impact of green financial policies, specifically green bonds and green credit, on investments in green energy across 23 OECD (The Organization for Economic Co-operation and Development) member countries from 2010 to 2021. Analyzing panel data using CUP-FM analysis, it finds that both green bonds and green credit significantly foster investments in green resource projects, with green bonds showing greater sensitivity. Conversely, green fiscal policies, particularly green taxes, prove ineffective and sometimes counterproductive. The research highlights a positive correlation between increased investments in green resources, growth in green economies, and sustainable utilities trade, while emphasizing the detrimental effect of public health costs on green project development. The study underscores the importance of appropriate policies to promote investments in renewable resources, spanning green finance, green fiscal policies, green economic growth, and sustainable utilities trade. [ABSTRACT FROM AUTHOR]

The present study aims to investigate the effect of financial development on energy intensity (EI) at different levels of innovation and technology. In addition, this study seeks to answer whether financial development affects EI and how such effect alters in the presence of varying levels of innovation and technology. To this aim, a panel smoothing transition regression (PSTR) method was used on a sample of OPEC + countries during 2000–20. Sectors of financial development affect EI at various levels of innovation and technology differently. Based on the results, the development of the banking sector and stock market increases EI to a certain level of the threshold variable (0.28 and 0.21 %, respectively), which is research and development (R&D) expenditure as a percentage of gross domestic production (GDP). Total financial development affects EI slightly differently. The above-mentioned process reduces EI up to a certain level of the threshold (0.25 %). Then, the process decreases EI more significantly. The present study aims to assess the specific effect of financial development on EI based on the level of innovation and technology. The results indicate that the behavior of the evaluated countries, which plays a significant role in proven oil reserves, crude oil production, and oil trade in the world, becomes similar to that of developed countries after reaching a certain threshold level of innovation and technology.

This study investigates the socio-economic and environmental drivers shaping renewable energy demand and supply within a meso-level setting (Italian regions, 2004–2020). Employing a panel vector error correction mechanism (PVECM) and an integrative biplot analysis, the research outcomes reveal a market equilibrium between demand and supply in the short and long run. Human capital accumulation is identified as pivotal in driving the renewable energy transition. Significant regional heterogeneities indicate challenges in achieving convergence towards sustainability and socio-economic development and well-being. Key empirical implications include enhancing education and vocational training to strengthen human capital and implementing tailored regional strategies for sustainable infrastructure development. These findings support policymakers in formulating targeted policies for a resilient, balanced energy future and addressing regional disparities in renewable energy adoption.