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The study empirically investigates whether the board of directors' expertise in the focal firm's industry has implications for innovation input. Additionally, it explores how this relationship is shaped by the CEO's educational level and background in the technology area.

The article tests the hypothesized relationships through the Arellano–Bond generalized method of moment estimators, proxying innovation input by R&D to total sales. Moreover, it analyses a sample of privately-held Italian medium and large high-tech companies observed over four years by relying on a unique hand-collected dataset.

The research documents an inverted U-shaped relationship between board industry expertise and innovation input and shows that such curvilinear effect is moderated by the CEO's educational level and technology background. Specifically, while the curvilinear slope is less steep for highly educated CEO, it becomes steeper in the presence of technology trained CEO.

The paper recommends how to shape the board human capital as a meaningful driver of board effectiveness and innovation. Additionally, it calls the managerial attention towards the interaction and the interplay between board industry expertise and CEO education as able to influence the above-mentioned outcome.

While previous studies have focused on the linear and positive effect of board industry expertise on innovation, this research advances current knowledge in innovation management literature by testing the presence of a curvilinear relationship. Moreover, by exploring the moderating effect of CEO education, the paper provides a comprehensive picture on the interplay among board industry expertise, CEO educational training and innovation input.

FDI is considered to be a meaningful component for the economic growth of a country. But, it has not been proven clear that the effect of FDI is really beneficial in a host country regardless of the state of the countries. This paper tries to provide an evidence of the effect of FDI in developing country. To do this, we relate industry level value-added to inward and outward FDI stocks in Korea in a production function framework. Especially we divide inward FDI into FDI on the Greenfield projects and FDI for M&A. The results show that the effect of inward FDI as a whole on productivity is not statistically significant, though we can presume that the direction is positive, whereas the effect of outward FDI is strongly negative, and is statistically significant. But the effects of inward FDI by the characteristics of FDI are not differentiated.

The paper investigates the relationship between credit to the economy, foreign direct investment (FDI) and the unemployment rate in Uzbekistan using macroeconomic time series over 2004–2019.

The study estimates the relationship by applying a vector autoregression model, which is considered a “workhorse” model for policy analysis to capture dynamic relationships in economic time series.

The results suggest both growth in credit to the economy and FDI Granger cause a change in the unemployment rate. The authors found 1% increase in bank credits to the economy growth decreases the unemployment rate by 0.096 pp. over eight years. On the contrary, 1% positive shock to FDI growth increases the unemployment rate by 0.0036% in the context of Uzbekistan.

Uzbekistan should improve FDI absorptive capacity, particularly human capital and financial market development, through growth-enhancing structural reforms in the financial sector to stimulate economic growth and employment. The attracted FDI funds should focus on productive and economic sectors with high labor-absorptive capacity, such as financial and professional services, healthcare and biomedicine, creative industries and media, software sector.

The study contributes to the empirical literature on employment effects of FDIs and credit to the economy of Uzbekistan.

Most empirical papers on threshold effects between debt and growth focus on developed countries or a mix of developing and developed economies, often using public debt. Evidence for developing economies is inconclusive, as is the analysis of other threshold effects such as those probably caused by the level of relative development or the repayment capacity. The objective of this study was to examine threshold effects for developing economies, including external and total debt, and identify them in the debt-growth relation considering three determinants: debt itself, initial real Gross Domestic Product (GDP) per capita and debt to exports ratio.

We used a panel threshold regression model (PTRM) and a dynamic panel threshold model (DPTM) for a sample of 47 developing countries from 1970 to 2019.

We found (1) no evidence of threshold effects applying total debt as a threshold variable; (2) one critical value for external debt of 42.32% (using PTRM) and 67.11% (using DPTM), above which this factor is detrimental to growth; (3) two turning points for initial GDP as a threshold variable, where total and external debt positively affects growth at a very low initial GDP, it becomes nonsignificant between critical values, and it negatively influences growth above the second threshold; (4) one critical value for external debt to exports using PTRM and DPTM, below which external debt positively affects growth and negatively above it.

The outcome suggests that only poorer economies can leverage credits. The level of the threshold for the debt to exports ratio is higher than that found in previous literature, implying that the external restriction could be less relevant in recent periods. However, the threshold for the external debt-to-GDP ratio is lower compared to previous evidence.

This study aims to examine the impact of anti-money laundering (AML) regulations on financial inclusion using a comprehensive measure of AML regulations developed by the Basel Institute on Governance. Again, this study investigates the existence of threshold effects in the AML regulations–financial inclusion nexus.

This study uses panel data across 212 economies (developed, developing and Africa) of the globe-spanning from 2012 to 2019. This study uses the dynamic panel threshold estimation technique proposed by Seo et al. (2019).

In general, the results indicate that AML regulations promote financial inclusion across the globe. However, AML regulations spur financial inclusion below the threshold of AML regulations, whereas, above the thresholds, AML regulations have damaging effects on financial inclusion. Further, the author finds that AML regulations have a detrimental impact on financial inclusion for developed economies. In contrast, AML regulations promote financial inclusion at all levels of AML regulations for African countries.

The findings of this study imply that countries must make conscious efforts in combating the incidence of money laundering by establishing sound AML regulatory regimes as a means of promoting financial inclusiveness. However, there is a need for regulators to ensure cost-effective and efficient implementation of AML regulations.

The value of this paper is its contribution to literature as it is a major attempt in empirically assessing the impact of AML regulations on financial inclusion. Again, to the best of the author’s knowledge, this is the first study to examine the non-linear relationship between AML regulations and financial inclusion.

The purpose of this paper is to examine the relationship between remittances, institutions and human development (HD) in Sub-Saharan African (SSA) countries using data from 2004 to 2018. The study attempts to answer two critical questions: Do the increasing remittances inflow to the region have any effect on human capital development? and does the effect of remittances on human development vary depending on the level of institutional quality?

The analysis uses a dynamic model; system Generalized Method of Moments (Sys-GMM) as this approach controls for the endogeneity of the lagged dependent variable; thus, when there is a correlation between the explanatory variable and the error term, which is normally associated with remittances, it also controls for omitted variable bias, unobserved panel heterogeneity and measurement errors in the estimation.

The findings indicate a positive and significant impact of remittances on HD in SSA. The results further reveal a substitutional relationship between institutions and remittances in stimulating HD. The estimations mean that remittances promote HD in countries with a weak institutional environment. The findings also establish that the marginal significance of remittances as a source of capital for HD falls in countries with well-developed institutions.

To increase the flow of remittances, policymakers should implement policies that increase the likelihood of both skilled and unskilled migrants sending remittances.

Most empirical research on the impact of remittances on HD does not tackle the problem of endogeneity associated with remittances. This study, however, provides empirical evidence by using Sys-GMM that solves the problem. The current study also is the first work to examine the relationship between remittances, institutions and HD in SSA and provides a new guide for future research on the remittance and HD nexus.

Might a country’s economic growth performance differ depending on the evolution of its human capital? This paper aims to consider education as a channel for human capital improvement and then for economic growth. The authors hypothesize the existence of a threshold for education, after which point the characteristics of economic growth change.

To address this question, the authors turn from a linear framework to a nonlinear one by applying smooth transition specifications.

This empirical analysis for Spain points to the existence of nonlinearities in the relationship between education and economic growth at country level, for both secondary and tertiary education. Next, as different patterns emerge in different regions, the authors provide a regional analysis for a number of representative Spanish regions. The results show that both secondary and tertiary education matter for economic growth and that nonlinearities in this relationship should be taken into account.

What is learnt from using Smooth Transition Regression models for the education-economic growth link is that the educational level of the population can be understood as a source of nonlinearities in the economic activity of a country (and of a region). Thus, depending on national and regional educational levels, economic growth behaves differently.

Although the importance of nonlinearities has been identified, linearity is usually assumed in this field of the literature. This paper calls into question the linearity assumption by using time series techniques for 1971-2013 in Spain, an OECD country, and testing whether the results at country level hold for different regions within Spain as a robustness check.

Small and medium enterprises (SMEs) commonly struggle to acquire needed financial, human, and technological resources. The above being stated, recent scholarly research argues that SMEs that are able to successfully navigate the legitimacy threshold are better able to gather the resources they need to survive and grow. This article provides an empirical test of that claim by examining whether the presence of a corporate parent positively influences SME resource acquisition. Results of the study show that SMEs with corporate parents, when compared to like-sized independent SMEs, have higher credit scores, have more complete management teams, use more computers, and are more likely to be on the Internet. These differences are most pronounced for very small firms and diminish in significance as firm size increases. Study implications include the notion that presence of a corporate parent likely represents a successful navigation of the legitimacy threshold, positively increasing SME resource acquisition.

Negative disclosure tone in 10-K annual reports has economic consequences, yet relatively little is known about how it is generated. Boards of directors play an important governance role with respect to mandatory disclosures and personally sign off on Form 10-K, leading us to expect directors to influence financial reporting narratives. This study investigates whether the negative tone of firms' narrative annual report disclosures is associated with the human and social capital of its board of directors.

Multivariate regression analyses of negative disclosure tone (Loughran and McDonald, 2011) on board members' average age, gender, education, financial expertise and turnover is performed. A host of supplemental tests to corroborate our primary analysis, including using Sarbanes-Oxley's financial expert mandate as an exogenous shock to board composition, impact threshold for a confounding variable, placebo analysis, portfolio tests of more and less negative disclosing firms and portfolio tests of “loud” versus “quiet” boards are conducted.

Evidence that directors' gender, education, financial expertise and board turnover are associated with more negative disclosure tone, while directors' age is associated with less negative disclosure tone is found. The study also looked within the board to differentiate whether these findings are driven by characteristics of inside directors or outside directors serving on the audit committee, or both, as these are the specific groups of directors we would expect to play a role in disclosure. It was found that negative disclosure tone is associated with a lower bid-ask spread, so this study interpreted more negative tone as containing more descriptive information.

This study helps decode the “black box” of annual report disclosure tone, which Loughran and McDonald (2011) show has important economic implications. The results help inform stakeholders such as policymakers, executives and capital market participants as to how board member traits are associated with disclosure. The findings are particularly important as this study bears witness to the increasing prominence of gender/diversity mandates (e.g. Israel, Norway, California) and financial expertise mandates (e.g. Sarbanes-Oxley).

The primary objective of this study is to investigate the association between the dimensions of intellectual capital (IC) and sustainability practices (SP) within the context of manufacturing medium and large (ML) firms in Uganda. The study aims to shed light on whether and how different dimensions of IC contribute to the adoption and implementation of SP by these firms.

This study utilized a cross-sectional and quantitative approach, collecting data through a questionnaire survey from a sample of manufacturing ML firms. The collected data underwent analysis to identify patterns and relationships using the SmartPLS structural equation modeling (SEM) technique.

The findings demonstrated that the three categories of IC (human, structural and relational capital) influence the SP of ML manufacturing enterprises in Uganda. This suggests that IC is a critical component of SP.

Manufacturing enterprises should use their IC to create strategies for sustainable solutions, such as creating new, ecologically and socially responsible products and services and improving current ones to lessen their environmental effect.

This research advances knowledge of SP by revealing if all aspects of IC are significant for the SP of manufacturing enterprises in Uganda.