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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 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.

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 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 paper aims to empirically explore the nexus between Islamic finance and economic growth across Southeast Asia based on the perception of the endogenous growth model.

This paper applied the dynamic panel one-step system GMM as an optimum estimation approach to study the influence of Islamic finance on economic growth in Southeast Asia from 2013Q4 to 2019Q4. This paper used total Islamic financing as the major exogenous explanatory factor inside the endogenous growth model, whereas the gross domestic product was used as the measurement of economic growth. The sample consisted of all complete Islamic banks operating in Southeast Asia (Malaysia, Brunei Darussalam and Indonesia).

The findings demonstrated that Islamic finance is promoting economic growth in Southeast Asia, which reflects the weighty role of Islamic finance as an energetic contributor to economic growth.

This paper would enrich the literature by studying the nexus between Islamic finance and economic growth in Southeast Asia based on the perception of endogenous growth model, as the results of this paper assist as an attendant for financial scholars, decision-makers and policymakers to expand Islamic finance globally as an alternative funding source for the best involvement to economic growth.

Despite the existing studies on the nexus between Islamic finance and economic growth, this paper is the first that explores empirically the nexus between Islamic finance and economic growth in Southeast Asia based on the theoretical background of the endogenous growth model to obtain solid information on this nexus.

The purpose of this paper is to evaluate the determinants of bank performance in China. In particular, the paper examines the effects of stock market volatility, competition and ownership on bank performance in China.

The sample comprises a total of 11 banks (four state‐owned and seven joint‐stock commercial banks) listed in the Chinese Stock Exchanges. The period under consideration extends from 2003‐2009. The generalized methods of moments (GMM) difference and system estimators are applied.

Empirical results show that high level of stock market volatility can translate into higher return on equity (ROE) and excess return on equity (EROE). Rather than leading to improved profitability, the labour productivity has a negative impact on economic value added (EVA). Ownership does not have any effect on the profitability of Chinese banking industry. The bank profitability in terms of ROE and EROE is lower in the banking industry with higher competition. When using the GMM with ROE‐COC and ROE, the paper finds that high taxation has a negative impact on both state‐owned and joint‐stock banks, while the capital level is negatively related to joint‐stock commercial banks. With regards to the other two performance indicators (EVA and NIM), the result suggests that higher cost efficiency and labour productivity improve the performance of both state‐owned and joint‐stock commercial banks. Large volume of non‐traditional activity is the explanation of poor performance of state‐owned commercial banks, while higher credit risk, lower taxation and the mature banking industry are helpful in improving the performance of joint‐stock commercial banks.

Further research should examine other methods (e.g. the Rosse‐Panzar H statistic) to calculate the bank competition in China, and other determinants of bank performance in Asian countries and compare them with these results.

The current study has relevant policy implications. First, in order to increase the profit earned from the traditional loan‐deposit services, the Chinese banks should make loans to the high risk projects or companies, and control the expenses including both the operating and personnel expenses. Furthermore, the government and bank regulatory authority should make policy such as inject capital to SOCBs and write‐off NPLs for them to reduce the degree of competition in order to make banks have better performance.

Particular emphasis is given on the investigation into the effects of stock market volatility, competition and ownership on bank performance in China while controlling for the most comprehensive bank‐specific, industry specific and macroeconomic variables.

This paper aims to analyze the impacts of institutional quality on trade flows of NAFTA with a panel data set of 105 countries spanning the period 2006–2017.

We applied the system generalized method of moment (GMM) estimator to investigate the impacts.

The results show that institutional quality is a positive and significant determinant of international trade flows of the NAFTA bloc and its trading partners. Our results also indicate that the impact of institutional quality depends on the level of economic development of NAFTA's trading partners. Specifically, the trade elasticity of institutional quality is the highest for NAFTA’s trade with middle-income countries and the lowest for NAFTA's trade with low-income countries. In the long run, the trade elasticity of institutional quality increased significantly, with the highest increase in the case of NAFTA's trade with medium-income countries and the lowest increase in the case of NAFTA's trade with low-income countries.

This study contributes to the existing literature in three different ways. First, we examine the differential impact of institutions on NAFTA's trade according to the level of economic development of NAFTA's trading partners. Second, we compare the differential trade elasticity of institutional quality in the long run. Finally, we support our findings through an improved research methodology by using the system GMM estimation. This method allows us to overcome the potential sample bias, omitted variable problems and endogeneity of explanatory variables.

This paper aims to empirically analyze the impact of export diversification on gross domestic product (GDP) per capita growth.

Using system generalized method of moments (GMM), a nonlinear model in a dynamic panel data growth framework for 101 countries between 1995 and 2019 was estimated.

Results evidenced that export concentration, measured by the Herfindahl–Hirschman Index (HHI), is negatively associated with GDP per capita growth after controlling for the effects of other explanatory variables. Further, the squared term of HHI used in the model to measure the nonlinear relationship between export concentration and economic growth indicated that the low-income and lower-middle-income countries benefited from export diversification. At the same time, high-income and upper-middle-income countries perform well with their export specialization. The results of the robustness check validate the findings of nonlinear estimation.

The findings recommend that low-income and lower-middle-income countries diversify their export basket to improve economic growth by generating stable export earnings. Similarly, high-income and upper-middle-income countries should focus on measures to close the product lines which no longer belong to their factor endowments and rebalance their export basket.

This study contributes to the existing literature by using the system GMM method, which is most appropriate for a dynamic panel data growth framework with up-to-date data. Further, this study segregates a large panel into 43 concentrated and 58 diversified countries to test the robustness of the empirical results.