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The purpose of this paper is to carry out a proof‐of‐concept experiment on positioning control of a smart journal bearing using giant magnetostrictive material (GMM)‐based actuators.

In the system, a journal bearing integrated with GMM actuators is actively controlled using self‐tuning P control under PID algorithm.

With the aid of GMM actuators, the positioning performance of journal bearing system is enhanced. The results demonstrate that the smart bearing system is practical and that GMM is an excellent material for driving function.

The smart bearing system can be applied to other types of machinery if new calibrations are done on both bearing and actuators.

The results prove the possibility of applying the smart bearing system to demanding industrial usages (high load capacity, control ability and stability at high speeds).

The idea of using GMM for the smart journal bearing is original and has not been mentioned in past literature.

This article aims to investigate how institutional characteristics affect the level of financial development of economies collectively and compare between developed and undeveloped economies.

A dynamic panel with 131 countries, including developed and developing ones, was utilized; the estimators of the generalized method of moments system (GMM system) model were selected because they have econometric characteristics more suitable for analysis, providing superior statistical precision compared to traditional linear estimation methods.

The results from the full panel suggest that concrete and well-defined institutions are important for financial development, confirming previous research, with a more limited scope than the present work.

Limitations of this research include the availability of data for all countries worldwide, which would make the research broader and more complete.

A panel of countries was used, divided into developed and developing countries, to analyze the impact of institutional variables on the financial development of these countries, which is one of the differentiators of this work. Another differentiator of this research is the presentation of estimates in six different configurations, with emphasis on the GMM system model in one and two steps, allowing for comparison between results.

This study aims to exploit Tobin’s Q model of investment to examine the relationship between corporate governance and green innovation.

The study is based on a sample of 3,896 firms from 2002 to 2021, covering 45 countries worldwide. The authors adopt Tobin’s Q model to conceptualize the relationship between corporate governance and investment in green research and development (R&D). The authors argue that agency costs and financial market frictions affect corporate investment and are fundamental factors in R&D activities. By limiting agency conflicts, effective governance favors efficiency, facilitates access to external financing and encourages green innovation. The authors analyzed the causal effect by using the system-generalized method of moments (system-GMM).

The results reveal that the better the corporate governance, the more the firm invests in green R&D. A 1%-point increase in the corporate governance ratings leads to an increase in green R&D expenses to the total asset ratio of about 0.77 percentage points. In addition, an increase in the score of each dimension (strategy, management and shareholder) of corporate governance results in an increase in the probability of green product innovation. Finally, green innovation is positively related to firm environmental performance, including emission reduction and resource use efficiency.

The findings provide implications to support managers and policymakers on how to improve sustainability through corporate governance. Governance mechanisms will help resolve agency problems and, in turn, encourage green innovation.

Understanding the impact of corporate governance on green innovation may help firms combat climate change, a crucial societal concern. The present study helps achieve one of the precious UN’s sustainable development goals: Goal 13 on climate action.

This study goes beyond previous research by adopting Tobin’s Q model to examine the relationship between corporate governance and green R&D investment. Overall, the results suggest that effective corporate governance is necessary for environmental efficiency.

The purpose of this paper is to examine the effects of funding liquidity risk and liquidity risk on the bank risk-taking.

This study employs a system generalized method of moments (GMM) estimation technique and a sample of 57 banks operating in BRICS countries over the period from 2006 to 2015.

The results reveal that liquidity risk has a significant and negative effect on the bank risk-taking, indicating that a decrease in liquidity risk contributes to higher bank risk-taking. The study also reveals that funding liquidity risk has the substantial impact on bank risk-taking, suggesting lower funding liquidity risk results in higher bank risk-taking. These results are consistent with prior assumptions.

The implications of this study highlight the fact that liquidity risk is a risk factor which drives the potential bank default, of which banks tend to take more risks when higher funding liquidity exists.

This study offers a number of valuable implications for the policy makers as well as practitioners. The policy makers should take into account better liquidity risk management framework aimed at preventing banks from taking excessive risks. Bank executives must pay more attention on how banks could hold more liquid securities and cash. Less risk-taking reduces higher borrowing costs undermining earnings through imposing taxes on corporate.

This work uncovered that liquidity risk per se is an important and previously unidentified risk factor, specifically its effects on bank risk-taking and contributes to the view in support of holding more liquid securities than the past.

The purpose of this paper is to analyze the influence of prudential regulation and monetary policies on the supply of credit as well as the influence of such policies on the aggregate investment through the credit channel in Brazil.

The empirical analysis is based on estimates through ordinary least squares (OLS), generalized method of moments (GMM), system of equations through GMM (system-GMM), and impulse response functions through vector autoregressive (VAR).

The results suggest that monetary policies and prudential regulation affect aggregate investment through the bank lending channel. With regards to elasticities, the findings indicate that the credit is very sensitive to variations in economic activity and, in turn, prudential regulation presents a stronger influence on credit than the basic interest rate and the reserve requirement rate. Moreover, the estimates suggest that aggregate investment is more sensitive to entrepreneurs’ expectations and credit supply.

Aiming to reduce systemic risk in the economy, capital requirements may be increased in order to induce banks to a lower risk exposure by reducing the supply of loans. However, while this instrument strengthens the banking system, it can also lead the banking system to become less sensitive to monetary policy shocks, and also discourage aggregate demand through the influence that the credit exerts on investments. As a consequence, prudential regulation is an important tool because it acts on the balance between economic growth and low risk exposure of banks.

The paper provides useful insights to academicians, economists and policymakers who are interested in understanding the effects of monetary policies and prudential regulation on aggregate investment through the credit channel in an emerging economy under inflation targeting. Moreover, the paper develops a theoretical model in order to show the influence of different monetary policies, as well as the influence of prudential regulation on the supply of credit.

A popular convention in the political-economy literature is that causality runs from democracy to economic growth. That thinking has continued to evoke significant debates among scholars. This study aims to propose a new research experiment by investigating whether macroeconomic variables cause democratisation.

The study uses a panel data set of 48 carefully selected economies in Sub-Saharan Africa spanning 1991 to 2020 and uses the PVAR system generalised method of moment (GMM) approach.

With the application of three macroeconomic indicators: economic growth, full employment and balance of payment equilibrium, the study suggests that economic growth has a negative implication on the democratisation process and that the incentives that increase national income provide in the global South enable autocratic rulers to impede democratic growth. The Granger causality test demonstrates a unidirectional effect from economic growth to democracy. The eigenvalue stability condition, impulse response function and forecast-error variance decomposition all confirmed the validity of the findings with the PVAR system GMM. Finally, the study proposed policy and theoretical implications for the political stakeholders.

Robust development of economic institutions (particularly the anti-corruption and rule of law) in the global South is required to tame the potential for the state actors to turn public resources into personal use to further their parochial political interest in the form of perpetuating themselves in office which negates the ideals of democracy and social norms. Strong institutions could prevent the misuse of national income and enhance a good quality of life for the citizenry, making them grow confidence in the democratisation process.

The research paper makes an insightful contributions from the methodological perspective and the sampling perspective. The author uses a new research method, the PVAR system GMM becoming the first attempt of such a method to be applied in determining the causal effects of macroeconomic variables on democracy in the literature. Another relevant contribution of the study relates to the sample technique of selecting economies from the Sub-Saharan Africa with notable weak or slow democratisation process.

This study aims to revisit the empirical debate about the asymmetric relationship between oil prices, energy consumption, CO₂ emissions and economic growth in a panel of 184 countries from 1981 to 2020.

A relatively new research method, the PVAR system GMM, is applied.

The outcome of the PVAR system GMM model at the group level in the study suggests that oil prices exert a positive but statistically insignificant effect on economic growth. Energy consumption is inversely related to economic growth but statistically significant, and the correlation between CO₂ emissions and economic growth is negative but statistically insignificant. The Granger causality test indicates that oil prices, CO₂ emissions, oil rents, energy consumption and savings jointly Granger-cause economic growth. A unidirectional causality runs from energy consumption, savings and economic growth to oil prices. At countries’ income grouping levels, oil prices, oil rent, CO₂ emissions, energy consumption and savings jointly Granger-cause economic growth for the high-income and upper-middle-income countries groups only, while those variables did not jointly Granger-cause economic growth for the low-income and lower-middle-income countries groups. The modulus emanating from the eigenvalue stability condition with the roots of the companion matrix indicates that the model is stable. The results support the asymmetric impacts of oil prices on economic growth and aid policy formulation, particularly the cross-country disparities regarding the nexus between oil prices and growth.

From a methodological perspective, to the best of the author’s knowledge, the study is the first attempt to use the PVAR system GMM and such a large sample group of 184 economies in the post-COVID-19 era to examine the impacts of oil prices on countries’ growth while controlling for other crucial variables, which is noteworthy. Two, using the World Bank categorisation of countries according to income groups, the study adds another layer of contribution to the literature by decomposing the 184 sample economies into four income groups: high-income, low-income, upper-middle-income and lower-middle-income groups to investigate the potential for asymmetric effects of oil prices on growth, the first of its kind in the post-COVID-19 period.

This study aims to investigate the effects of corporate board and audit committee characteristics and ownership structures on market-based financial performance of listed firms in Thailand.

It applies system GMM (generalized method of moments) as the baseline estimator approach, and ordinary least squares and fixed effects for robustness checks on a sample of 452 firms listed on the Thai Stock Exchange for the period 2000-2016.

Relying mainly on the system GMM estimator, the empirical results indicate some emerging trends in the Thai economy. Contrary to expectations for an emerging market and prior research findings, ownership structures, particularly ownership concentration and family ownership, appear to have no significant influence on market-based firm performance, while managerial ownership exerts a positive effect on performance. Moreover, as expected, board structure variables such as board independence; size; meeting and dual role; and audit committee meeting show significant explanatory power on market-based firm performance in Thai firms.

These findings are important for policymakers in constructing an appropriate set of governance mechanisms in an emerging market context, and for corporate entities and investors in shaping their understanding of corporate governance in the Thai institutional context.

Unlike previous literature on the Thai market, this study is the first to use the more advanced econometric method known as system GMM estimator for addressing causality/endogeneity issues in governance–performance relationships. The findings indicate new trends in the explanatory power of ownership structure variables on market-based firm performance in Thai-listed firms.

This study aims to find whether the Indian private corporate sector follow stable cash dividend policies, whether dividends smoothen earnings, estimate the implicit target dividend ratio, and examine the determinants along with speed of adjustment of dividends towards a long run target ratio.

The study uses the instrumental variable (IV) approach for dynamic panel data for 1971‐2010 periods controlling for economic reforms. The GMM‐in‐levels model, GMM‐in‐first‐differences and GMM‐in‐systems are alternatively estimated to include other lag structures.

In the post‐reform period lower dividends are consistent with rapid growth in the economic environment and the tendency to smoothen dividends has considerably decreased over time. The estimated model suggests dividends substitute for less opportunity for internal growth and increased general likening to relatively retain their earnings and finance their growth, unlike the past.

Limitation to capture substitution, ownership and self selection effects stems up from data as the Annual Studies RBI does not include such variables, does not capture qualitative data and disallows identification of the firm.

The paper documents long run trends and inter‐temporal dividend patterns controlling economic reforms for a relatively larger number of public limited firms nearing four decades for an emerging economy.

This is a first attempt to take a holistic view of dividend using rich set of unexplored dynamic panel data on Indian firms controlling for reforms using contemporary econometric models and analyzes issues relating determinants, smoothening and stability of the corporate dividend structure.

This study aims to conduct a comprehensive methodological review, exploring the strategies used to address endogeneity within the realms of corporate governance and financial reporting.

This research reviews the application of various methods to deal with endogeneity issue published in the 10 journals covering the corporate governance discipline included in the Web of Science’s Social Sciences Citation Index.

With a focus on empirical studies published in leading journals, the author scrutinizes the prevalence of endogeneity and the methodologies applied to mitigate its effects. The analysis reveals a predominant reliance on the two-stage least squares (2SLS) technique, a widely adopted instrumental variable (IV) approach. However, a notable observation emerges concerning the inconsistent utilization of clear exogenous IVs in some studies, highlighting a potential limitation in the application of 2SLS. Recognizing the challenges in identifying exogenous variables, the author proposes the generalized method of moments (GMM) as a viable alternative. GMM offers flexibility by not imposing the same exogeneity requirement on IVs but necessitates a larger sample size and an extended sample period.

The paper sensitizes researchers to the critical concern of endogeneity bias in governance research. It provides an outline for diagnosing and correcting potential bias, contributing to the awareness among researchers and encouraging a more critical approach to methodological choices, recognizing the prevalence of endogeneity in empirical studies, particularly focusing on the widely adopted 2SLS technique.

Practitioners, including corporate executives and managers, can benefit from the study’s insights by recognizing the importance of rigorous empirical research. Understanding the limitations and strengths of methodologies like 2SLS and GMM can inform evidence-based decision-making in the corporate governance realm.