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This study aims to identify specific factors that facilitate engagement and stay intention among Generation Z employees in the Indian banking, financial services and insurance (BFSI) context. Furthermore, using the frequency distribution of the identified factors, this study has ranked them in order of their association with stay intention.

Data were collected from 22 Gen Z employees working in the Indian private BFSI sector using unstructured interviews. Inductive content analysis was applied to identify the factors improving engagement and stay intention. Moreover, quantitative content analysis was applied to calculate the frequency distribution of the identified factors.

The study identified six prominent factors, namely, transformational leadership, employee investment practices, egalitarian practices, work-life balance, job crafting and sustainability, which significantly enhance employee engagement and stay intention among Gen Z employees. Moreover, based on the results of quantitative content analysis, it was found that transformational leadership exhibited the highest frequency in association with employee engagement and stay intention. Following this were employee involvement, egalitarian practices, work-life balance, job crafting and sustainability.

In the coming days, Generation Z will contribute to almost one-third of India’s workforce, of which the BFSI sector will be the major employer. However, the issue with this generation is their retention. Hence, the study identifies factors ensuring engagement and stay intention.

Owing to the paucity of research on stay intention as a variable of interest, this study tries to capture the perceptions of Gen Z towards factors inducing their engagement and stay intention. This study assesses intention to stay (ITS) as compared to intention to leave (ITL) as it is a proactive indicator of turnover. Lastly, this study uses a qualitative approach to identify factors influencing stay intention and engagement based on interactions with employees, which, to the best of the authors’ knowledge, no prior study has attempted.

In this study the effect of the level of economic development on inequality is estimated. The goal is to determine whether the classical Kuznets curve hypothesis (1955) is applicable to Russia. The idea of Kuznets was that income inequality first rises with economic growth on the low stages of development and then falls as the economy matures. The empirical evidence of the curve applicable for the Russian regions has been found. The reverse casualty problem by using internal and external instruments has been also taken into the consideration. For the internal instruments, the System GMM method, which implies two functions – one in first difference and the other one in levels, has been used. For the external instruments, the net oil export per capita and trade per capita as instruments have been applied. If the quadratic term is not implied, the estimations show a significant robust positive effect of economic development on inequality. Thus, it is assumed that it happens due to the fact that Russia is still on the first upbeat of the curve, and it has not yet reached sufficient levels of development to tear down inequality.

This study examines the role of monetary and fiscal policies in shaping innovation for a balanced panel sample of seven emerging and five advanced Asian economies.

Using the Driscoll–Kraay estimator as a baseline technique and panel-corrected standard errors and kernel-based regularised least squares as robust methods, this study explores the factors that influence innovation in both emerging and advanced Asian economies from 1990 to 2021. Based on the Morgan Stanley Capital International categorisation, this study has used a sample of seven emerging and five advanced Asian nations to empirically understand the factors shaping innovation.

The findings indicate that broad money and economic growth have positive effects on innovation, whereas tax revenue, governance quality and economic globalisation indicate negative effects in emerging Asia. The findings further indicate that tax revenue, economic growth, governance quality and economic globalisation favour innovation in advanced Asia. The authors also find an adverse impact of broad money on total innovation in advanced Asia.

These findings are quite helpful for the stakeholders and policymakers looking for efficient and long-lasting innovation initiatives.

Purpose/Objective: This study aims to investigate the inferences of technological innovations introduced by companies, emphasised by firm investments in innovative products, the use of information technologies (ITs), and the number of innovative products in achieving economic and environmental sustainability.

Design/Methodology/Approach: Simple regression models with Driscoll–Kraay standard errors processed through the Pooled OLS method, and cluster analysis performed through the Ward method inset on hierarchical clustering. A newly compiled dataset with information extracted from the European Innovation Scoreboard (EIS) 2023 was employed in the analysis, covering the time lapse from 2016 to 2023 and integrating 28 European countries.

Findings: A statistically significant relationship between firm investments, technological innovations, and companies’ environmental and sustainability credentials. Clusters associated with the impact of innovative technologies on environmental and economic sustainability were identified. The results showed four different clusters, including countries that present similarities among the variables or distinctive tendencies from the countries belonging to other clusters.

Significance/Implications/Conclusions: New insights for firms, managers, entrepreneurs, and local or foreign investors and emphasise the need for innovation and technological investments within companies to improve their business activities and support more effective and sustainable development.

Limitations: The reduced availability of data and regarding the sample of representative indicators.

Future Research: Future research avenues might explore the importance of collaboration among technologists, financiers, policymakers, and environmentalists to harness technology’s full potential and navigate the complexities of integrating it with sustainable practices.

This study uses data from the Chinese banking sector to explore the relationship between green credit and risk-taking in commercial banks. It also examines whether the level of regional green development acts as a moderator regarding this relationship.

Using a dataset composed of annual observations from 57 Chinese commercial banks between 2008 and 2021, this study employs both piecewise and curvilinear models.

Our results indicate that when the scale of green credit is low (<0.164), it increases the risk-taking of commercial banks. Conversely, when the scale of green credit is high (>0.164), it reduces the risk-taking of commercial banks. Moreover, this nonlinear relationship impact exhibits bank heterogeneity. Furthermore, the results show that the level of regional green development and local government policy support negatively moderate the relationship between green credit and commercial bank risk-taking. Furthermore, we find that green credit can directly enhance the net interest margin of commercial banks.

This study is the first to provide evidence of a nonlinear relationship between green credit and risk-taking in commercial banks, and it identifies the significant roles of regional green development level and local government policy support in the Chinese context.

This study aims to propose a moderated mediation model to investigate the moderating effects of environmental, social and governance (ESG) performance on the relationship between inefficient investment and firm performance and the mediating effect of firms that participate in institutional research on the relationship between investment efficiency and performance. This study also analyses the heterogeneity of the corporate nature, intensity of industrial research and development (R&D), industrial competition and regional marketization.

This study uses a panel data fixed-effects model to conduct a regression analysis of 1,918 Chinese listed firms from 2016 to 2020. A Fisher’s permutation test is used to examine the differences between state-owned and nonstate-owned firms.

Inefficient investment negatively impacts corporate performance and higher ESG performance exacerbates this effect by attracting more institutional research which reveals more problems. State-owned enterprises perform significantly better than nonstate-owned enterprises in terms of ESG transformation. Industrial R&D intensity, competition and regional marketization also mitigate the negative effects of inefficient investment on corporate performance.

This study suggests that companies should consider inefficient investments that arise from agency issues in corporate ESG transformation. In addition, state-owned enterprises in ESG transformation should take the lead to achieve sustainable development more efficiently. China should balance regional marketization, encourage enterprises to increase R&D intensity, reduce industry concentration, encourage healthy competition and prevent market monopolies.

This study combines the agency and stakeholder theories to reveal how inefficient investments that arise from agency issues inhibit value creation in ESG initiatives.

The impact of FinTech in sub-Saharan Africa has primarily been limited to financial inclusion. Contrarily, this study aims to deviate from this norm to estimate how FinTech affects carbon emissions in the subregion. This provides policy recommendations for FinTech regulators, service providers and practitioners to consider optimal products and services that reduce carbon emissions.

A balanced panel data set from 2009 to 2020 is used and estimated with the fully modified ordinary least squares estimator after checking for cross-sectional dependence, unit root, stationarity and cointegration.

Results from the estimation suggest a negatively significant relationship between financial technology and carbon emissions in these countries. However, domestic credit to the private sector revealed a statistically insignificant relationship with carbon emissions for the same period. Further, foreign direct investment reduces carbon emissions but gross domestic product and trade openness increase carbon emissions in these countries.

The impact of FinTech in sub-Saharan Africa has primarily been limited to financial inclusion. Contrarily, this study deviates from this norm and estimates how FinTech affects carbon emissions in the subregion.

The Russian export flow is highly concentrated on few trading partners that results in its high vulnerability to external shock. Furthermore, the Russian–Ukraine conflict and corresponding western sanctions has enhanced the need of export markets diversification for Russia. Therefore, this study is a baseline attempt to explore determinants of export flow along with identifying potential export markets. This objective is realized by employing an augmented version of gravity model on export flow of Russian Federation to 108 trading partners from 2000 to 2020.

The augmented gravity model of export flow is estimated by using employing contemporary panel econometrics such as panel generalized ordinary least square estimation technique with cross-sectional weight along with heteroskedasticity consistent white coefficients is employed to explore impact of selected macroeconomic and policy variables. Furthermore, the sensitivity analysis is performed by using panel random effect along with the Driscoll–Kraay standard errors with pooled ordinary least squares (OLS) regression and random effect generalized least square (GLS) estimator techniques. The estimated result of panel GLS technique is subjected to in-sampled forecasting technique to explore potential export markets.

The findings show that an increase in the income of trading partners and enhancement of domestic production capacity has significant positive impact on Russian export flow, whereas geographic distance has a significant negative impact. Income of trading partners emerged as major determinant of export flow with high explanatory power. Among augmented variables, the real exchange rate reveals a significant positive impact of lower intensity, whereas binary variables for the common border, common history and preferential/free trade agreement show a significant positive impact. The finding of export potential reveals a high concentration of export with existence of large potential for exports across the globe. For instance, many developing countries in Asia, Africa and America reveal high potential for Russian exports.

The findings urge Russian Federation to diversify its export markets by targeting potential export markets. Many emerging developing countries are witnessing a high potential for Russian exports, therefore attempts should be taken to diversify toward them. The expansion of existing transportation facilities along with development of cargo trade can be important policy instrument to realize objective of export diversification.

This study is the first comprehensive analysis that employs augmented gravity model to explore potential export markets for Russian Federation by using panel data of 108 global trading partners from 2000 to 2020. This finding of this study provides a framework of export diversification toward potential markets across the globe.

This research endeavours to achieve two primary objectives within the context of regenerative tourism (RT). Firstly, the study aims to explore the trends and conceptual structure of RT, mapping its scope through a bibliometric analysis. Building upon the knowledge garnered from the initial exploration, the second aim is to establish a regenerative stakeholder framework for tourism, grounded in biodiversity.

Data from the Web of Science (WoS) and Scopus were collected for a bibliometric analysis in this research. The merged database found a total of 42 publications.

Based on bibliometric analysis in Biblioshiny, six indicators were identified (e.g. the annual publications, the most cited studies, productive countries, journals and thematic map). Furthermore, the authors' keyword analysis was conducted using the VOSviewer software package, revealing four clusters, namely, stakeholders, ecotourism, circular economy and climate change.

This research's scope is restricted to Scopus and WoS through 21 February 2024. Future research could broaden RT perspectives through different databases.

The research offers the RT stakeholder framework developed based on the RT and stakeholder theory.

This research advances awareness of the Earth's current needs and the literature on tourism stakeholders by establishing a biodiversity-based regenerative stakeholders' framework in which both human and non-human stakeholders can coexist.

本研究旨在实现再生旅游背景下的两个主要目标。首先, 研究旨在通过文献计量分析探讨再生旅游的趋势和概念结构, 通过映射其范围来实现目标。第二个目标是在从初步探索中获得的知识基础上, 建立一个以生物多样性为基础的旅游再生利益相关者框架。

本研究收集了来自Web of Science（WoS）和Scopus的数据, 进行了文献计量分析。合并后的数据库共找到42篇出版物。

基于Biblioshiny中的文献计量分析, 识别了六个指标（例如, 年度出版物, 最常引用的研究, 富有成效的国家, 期刊和主题图）。此外, 使用VOSviewer软件包进行了作者的关键词分析, 揭示了四个簇, 即利益相关者, 生态旅游, 循环经济和气候变化。

本研究的范围限于截至2024年2月21日的Scopus和WoS。未来的研究可以通过不同的数据库拓宽再生旅游的视角。

该研究提供了基于再生旅游和利益相关者理论发展的再生旅游利益相关者框架。

本研究通过建立一个以生物多样性为基础的再生利益相关者框架, 增进了对地球当前需求和旅游利益相关者文献的认识, 在这个框架中, 人类和非人类利益相关者可以共存。

Esta investigación tiene dos objetivos principales dentro del contexto del turismo regenerativo. El primer objetivo es explorar las tendencias y la estructura conceptual del turismo regenerativo, mapeando su alcance a través de un análisis bibliométrico. El segundo objetivo, basándose en el conocimiento obtenido en la exploración inicial, es establecer un marco de agentes del turismo regenerativo fundamentado en la biodiversidad.

En esta investigación se recopilaron datos de la Web of Science (WoS) y de Scopus para realizar un análisis bibliométrico. La base de datos combinada encontró un total de 42 publicaciones.

A partir del análisis bibliométrico en Biblioshiny se identificaron seis indicadores (por ejemplo, las publicaciones anuales, los estudios más citados, los países productivos, revistas y el mapa temático). Además, se realizó un análisis de palabras clave de los autores utilizando el software VOSviewer, que reveló cuatro grupos, a saber: agentes, ecoturismo, economía circular y cambio climático.

El alcance de esta investigación se limita a Scopus y WoS hasta el 21 de febrero de 2024. Futuras investigaciones podrían ampliar las perspectivas del turismo regenerativo a través de diferentes bases de datos.

La investigación ofrece el marco de los agentes del turismo regenerativo desarrollado a partir de la teoría del turismo regenerativo y los grupos de interés.

Esta investigación avanza en el conocimiento de las necesidades actuales de la Tierra y en la literatura sobre los grupos de interés del turismo al establecer un marco de actores regenerativos basado en la biodiversidad en el que pueden coexistir agentes humanos y no humanos.

This study aims to examine the effect of Chinese foreign direct investment (FDI) and trade on economic complexity in Africa.

Panel data from 34 African countries between 2003 and 2022 are used. This study analyzes the data using a two-stage least square proposed by Lewbel (2012) and Driscoll and Kraay (1998) estimator based on robust standard errors and panel quantile regression via moments proposed by Machado and Silva (2019).

The results show that Chinese FDI and trade effectively upgrade economic complexity in Africa. Also, there is an inverted-U-shaped relationship between Chinese trade and economic complexity, thus revealing evidence of the trade Laffer curve.

Despite the intense debate on the Chinese-African economic relationship, to the best of the authors’ knowledge, no known study has examined the implications of Chinese FDI and trade on economic complexity in Africa. Therefore, this study fills this lacuna found in the literature and suggests that Chinese FDI and trade are veritable tools for technology diffusion and innovation, which are capable of upgrading economic complexity in Africa. However, the Chinese-African trade relationship should be complemented with sound trade policies for the sustainability of the beneficial effect of Chinese trade on economic complexity in Africa.