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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.

As a coastal emerging country, export-led marine economy has been the development model of Vietnam over the past decades since The Renovation 1986. Given the rise of globalization, regional economic integration and logistics enhancement have been identified as key engines for economic sustainability by Vietnamese government. Nevertheless, little sectoral and sub-sectoral evidence has been given for the platform shaped by policies relevant to export, logistics performance and regional economic integration. The paper employs the trade gravity model to study the relationship between seafood export, logistics performance and regional economic integration in the case of Vietnam. Sectoral and sub-sectoral trade gravity models are employed. Logistics performance from the exporter-side and importer-side is included in the estimations. Membership to effective regional trade agreements of Vietnam are proxies for regional economic integration. Zero trade issue is resolved by the Pooled Ordinary Least Squares (POLS), Poisson Pseudo-Maximum Likelihood (PPML) and Heckman Sample Selection estimations, while endogeneity is tackled by the difference and system Generalized Method of Moments (GMM) models. Findings vary by estimation methods, data levels, product groups, and whether which side is considered. In addition, theoretical contributions and some seafood export-driving policy recommendations relevant to regional economic integration and logistics performance development are discussed.

In this study, the relationship between female labour force participation rate and economic growth is investigated in middle-income countries. The study covers the period of 2001–2016 by employing a dynamic panel approach. Pooled Ordinary Least Square and Fixed Effects model estimations are calculated as a decision criterion to select proper GMM Method. The outcomes indicate that the proper estimation technique, which is a System-GMM model, evidences the U Feminisation Theory for the middle-income countries while controlling all other factors.

The novelty of this study is that the research not only employs both difference and system generalised method of moments (GMM) estimators but also includes main explanatory variables such as education, fertility, and total labour force rate. The study provides an opportunity to review the U-shape nexus between the female labour force and economic growth while controlling education, fertility and total labour participation rate.

The estimation implies that middle-income countries support a U-shaped relationship. The fertility rate does not impact on the female labour force, and education and total labour force level have a positive influence on women's participation in the labour market.

This study used data that include the period of 2001–2016 for middle-income countries. So, further studies can use different periods of data or different countries.

The authors emphasise the importance of economic growth for female labour force for middle-income countries. Thus, a country intending to increase female labour force should also focus on its economic growth. As the study points out, middle-income countries staying under the minimum threshold, $4698.15 (per capita), should priorities their economic improvement policies to reach their female labour force participation goal. Those countries also should be prepared for a female labour force participation declining phase until they reach the turning point income level.

Furthermore, education is one of the critical determinants that have an impact on FLFPR. The equal opportunity for both genders to engage in education should be considered as a policy. If females do not have an equal chance to enrolment in education, it may influence the policy of increasing female labour force adversely. Fertility rate appears no more statistically significant in our study. Moreover, today, there are some countries they practise equality between genders by providing equally extended parental leave, which may be a promising policy for gender equality in the labour force and may worth a try.

Some previous studies may suffer model mistakes due to lack of consideration the endogeneity problem and bias issue of the results as suggested by Tam (2011). Moreover, previous studies tend to choose either studying U-feminisation as excluding other variables or studying determinants of female labour force participation rate as excluding U-feminisation theory. There is not any panel data study acknowledging both concepts by using recent data to the best knowledge of the authors. Thus, the novelty of this study is that the research not only employs both difference and system generalised method of moments (GMM) estimators but also includes main explanatory variables such as education, fertility, and total labour force rate. The study provides an opportunity to review the U-shape nexus between the female labour force and economic growth while controlling education, fertility and total labour participation rate.

The digital economy has become a new engine for economic development, promoting the upgrading and transformation of traditional industries as well as fostering emerging industries and forms of business. Nonetheless, how does the digital economy affect innovation? The research objective is to explore the specific impact of the digital economy on innovation output.

This paper innovatively adopts the dynamic panel data model (DPDM) to carry out an empirical study on the impact of the digital economy on innovation output, through the observation of 30 provincial-level administrative regions in China. Furthermore, the paper innovatively analyzes the impact of different dimensions of the digital economy on innovation output and the impact of the digital economy on different dimensions of innovation output.

It is found that the digital economy is conducive to boosting innovation output considering innovation continuity. Specifically, the driving impact of core industries and enterprise application of digital economy on innovation output is more prominent, but the driving impact of infrastructure and personal application on innovation output is not fully played. Meanwhile, the driving impact of the digital economy on the innovation output quality is more significant than that digital economy on the innovation output quantity.

This study employs a DPDM for the first time to investigate the specific impact of the digital economy on innovation output, and contributes to the existing literature on the digital economy and digital economy-driven innovation. The findings offer a comprehensive explanation for the impact of the digital economy on innovation output, which has reference value for the formulation of innovation policies driven by digital economy, thereby providing impetus for the sustained and stable development of China's economy.

The purpose of this paper is to examine the impact of the Yemen War on banking services (deposits and loans) at the aggregate and at the level of conventional and Islamic banks in GCC countries. The author also tests hypotheses of direct and indirect impacts of the Yemen War on bank services.

The sample comprises a total of 70 banks (45 conventional and 25 Islamic banks) over the period 2000–2018. The static and dynamic panel generalized methods of moments (GMM) estimation techniques are applied.

Empirical results indicate that the Yemen War has a significant negative direct impact on deposits and loans of GCC banks. The results lend support for the direct channel hypothesis, but not for the indirect channel hypothesis. The negative direct impact is most prominent on banks in GCC countries that are directly involved in the Yemen War, although the war has an asymmetric effect on conventional and Islamic banks, the former being more vulnerable. The overall conclusion is that the Yemen War exerts an asymmetric impact on the GCC region, across both banks and countries.

These results are a warning to policymakers to be cautious when formulating a strategy for macroeconomic stability.

It is widely recognized that the Yemen War has a significant impact on the economies of the GCC countries. However, the possible impact of the war on GCC bank services has not so far been subjected to robust empirical analysis. This paper therefore seeks to fill this gap by providing an in-depth quantitative analysis of this impact. It distinguishes between direct and indirect channels through which the Yemen War may affect bank services. It is also the first to examine the asymmetric impact of the Yemen War on the GCC region, across both banks (Islamic and conventional banks) and countries (whether or not involved in the war). The study uses both static panel and dynamic panel GMM estimation techniques to analyze the data.

The purpose of this paper is to empirically investigate the role of real effective exchange rate (REER) volatility on export volume and also to address the impact of the international financial crisis of 2008.

The empirical methodology is based on System GMM estimation for a set of 106 countries for the period of 2000-2011.

For the complete sample of countries and for a set of developing/emerging economies, there is evidence that an increase (decrease) in REER volatility reduces (increases) export volume. The results are not robust once the oil export countries are removed from the sample. The estimated coefficients for the financial crisis dummy are positive and statistically significant, indicating that export volume were 0.14 percent higher after the financial crisis of 2008 compared to the previous period (2000-2007). There is also evidence that the export volume is price (REER) and income (trade weighted) inelastic.

The empirical results are valid for the complete set of countries and for developing and emerging economies when including the oil export countries, suggesting that countries should reduce exchange rate volatility in order to foster their export volume and that oil export countries have an important role on these results.

The paper suggests that policymakers should adopt different policies to minimize exchange rate volatility if they seek to increase export volume. The international financial crisis had a significant impact on export volume in all estimated models regardless of the set of countries used.

One of the main novelties of this work is that it deals with possible endogeneity using GMM estimators and addresses the issue of instrument proliferation, which is not a common feature of previous empirical studies on exchange rate volatility and trade flows. Another original aspect of the research is the construction of trade weighted variables for foreign income and REER based on the major 20 export partners for each country used in the panel data estimation. The work also incorporates the years following the international financial crisis of 2008, which is an additional empirical novelty, in order to address the impact of the international financial crisis on the export volume.

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.

This study aims to examine the effects of institutions on private investment (PI) using panel data analysis, where the sample countries consist of 100 countries around the world and the time period is covering from 2007 to 2016. The system generalized method of moments (GMM) estimator, introduced by Arellano and Bond (1991) and further developed by Blundell and Bond (1998) is used to analyze the data sets.

This study uses the panel data approach to estimate the empirical model due to the panel nature of the data. In particular, due to the presence of lagged dependent variables and the ability to capture individual country-specific effects, the system GMM estimator, introduced by Arellano and Bond (1991) and further developed by Blundell and Bond (1998), is adopted to analyze the roles of institutions in PI. The system GMM is developed specifically to solve the problems of weak instruments and persistency (Blundell and Bond, 1998). Jointly, they suggest to adopt additional moment conditions where lagged difference of the dependent variable is orthogonal to the level form of the disturbances. The system GMM estimator is able to combine the moment conditions for the different models, as well as the level model, thereby (is capable of) generate consistent and efficient parameters. Due to the dynamic nature of the data, this study uses one-step and two-step system GMM to investigate the roles of institutions in PI.

The empirical results based on the two-step system GMM demonstrate that the quality of institutions plays an important role in stimulating PI. The finding is reinforced by the analysis of the institutional sub-components’ effects on PI.

This study is unique as its measurement of institutions is multi-dimensional (including law and order, rules and regulation, government stability, bureaucratic quality, control of corruption, socio-economic condition, etc.), and hence are more comprehensive. Second, it is different than the previous studies as its sample of countries includes both democracies and non-democracies, as well as both developed and non-developed economies in which policy implications are widely acceptable. Third, this study contributes to the policymakers especially those in the debt-ridden economies where governments are budget-tightening (limited capacity for public investment), as to which practical direction should be focused on so as to attract PI and eventually sustainable growth can take place.

The international institutions, policymakers and governments are promoting green growth as a policy objective for global financial stability (FS) without sound empirical investigation. Therefore, the purpose of this study is to investigate whether the green economy would be successful in achieving its main objective i.e. stabilizing the world financial system because the investment stakes are too high for this green transition.

The study used the two-step system generalized method of moments (GMM) methodology on panel data of 90 countries for 6 years from 2010 to 2015 to investigate the impact of green growth economy on FS.

The results of the current study revealed that overall green growth enhanced FS in the country for both the short and long run. However, the social inclusive dimension of green growth was irrelevant in creating FS.

The results of the current study validate the growth-led finance hypothesis and encourage the policymakers to strengthen the policy initiative for green growth. Because green growth mitigates economic and environmental risk to create a stable financial environment. However, social inclusiveness needs to be explored through alternate paradigm in relevance to FS.

As per the author’s knowledge, it is a pioneer study to empirically investigate the impact of green growth on FS which would be useful in understanding the green growth and FS dynamics.

This paper explores the connection between capital structure and financial performance within European listed firms. The primary objective is to demonstrate an inverse U-shaped relationship between these two variables and pinpoint an optimal debt-equity mix.

In this study, we adopt a dynamic modeling approach to investigate the relationship between a firm’s capital structure and financial performance. Drawing on well-established theories and prior empirical studies, our model examines 3,121 dividend-paying firms from 41 European countries over 14 years, from 2008 to 2021. To enhance the reliability of our findings, we employ two distinct estimation techniques: the fixed effect model (FE) and the system generalized method of moments (System-GMM).

This study reveals an inverse U-shaped relationship between the firm’s financial performance, measured by the return on equity (ROE) and its capital structure (total liability to total assets ratio). Furthermore, an optimal capital structure of about 29% is determined for all firms in the sample, and about 21%, 28% and 41% industry-specific capital structure for manufacturing, real estate and wholesale trade, respectively.

This paper contributes to existing knowledge by empirically determining an optimal capital structure for listed firms across various industries in Europe, which very few studies have attempted to do in the past. An optimal capital structure is an invaluable benchmark for managers and other stakeholders, informing their decision-making.