The influences of renewable and conventional energy consumption on ecological sustainability remain unclear because of the dynamic economic and innovative framework. This investigation gives a new perception by exploring the association between the production of various sources of renewable energies (e.g., hydroelectric, wind, solar PV, geothermal, and biomass power) and economic growth encapsulating capital, government spending, and trade openness. This research used a heterogeneous approach for panel data and second generational tools for econometrics, which allow for cross-sectional reliance and slope heterogeneity. This study has revealed the substantial reason to back up the feedback assumptions between renewable energy sources and economic growth, using the Dumitrescu and Hurlin analysis. In terms of policy, this empirical analysis suggests enacting impactful policies that encourage green power and economic reform in an attempt to lessen CO2 concentrations in the biosphere.

Purpose Grounding on the supplies-values fit theory, this study examines the effect of green HRM practices on an employee’s in-role green behavior after the Covid-19 pandemic. Moreover, this study examined the mediating role of psychological green climate between green HRM practices and in-role green behaviour. In addition, we studied that spiritual leadership as a buffering mechanism strengthens the relation between psychological green climate and employee in-role behavior. Methods The paths were examined using hierarchical multiple regression and for moderation mediation, we used PROCESS Hayes (2003) to evaluate the data collected from 374 Chinese MNCs employees. Results The findings indicate that green HRM practices have a positive effect on employees’ in-role green behaviour. In addition, psychological green climate mediates the relation between green HRM practices and employee in-role green behavior. Spiritual leadership influences the strength of the moderated mediated path between green HRM practices and employee in-role green behavior (through a psychological green environment). Discussion The most apparent manifestation of green HRM practices is the integration of environmental concerns into traditional HRM processes after Covid-19 pandemic, including hiring, training, evaluating performance, and distributing pay and benefits. These green-focused management initiatives are more likely to result in employees acting greenly.

The purpose of this study is to examine the link between English foreign language teacher’s professional identity and employee success via mediating role of critical thinking. Further, we examined the moderating role of leader motivational language between employee professional identity and critical thing and also indirect effect on employee success via critical thinking. We collected data from Chinese MNC’s school by using time lagged study design. We used hierarchical linear regression for direct hypotheses and Hayes PROCESS model’s for mediation, moderation, and mediation moderation analysis. The results show that there is positive relation between employee’s professional identity and teacher’s success. Further, critical thinking mediates the link between professional identity and employee success. The results of the moderated mediation analysis show that critical thinking mediated the interaction of employee’s professional identity and leader’s motivational language on teacher’s success.

This study explores the impact of Big Data and smart city initiatives on supply chain management. The effects of smart cities and SCM integration on sustainable development are also examined. Big Data, smart cities, and supply chain characteristics have all received a significant amount of attention (supply network structure, governance mechanisms). Based on literature reviews, we created a comprehensive model for supply chains, Big Data, and smart cities. The study concluded that smart cities have various consequences for network architecture and governmental systems. Future research directions in supply chain management and smart cities are also addressed in this paper. A comprehensive model was developed that can be used to undertake empirical research on the implications of smart cities and Big Data on supply chain management and sustainable development in the future. Big Data, smart cities, and supply chains have more than merely causal interactions, and Big Data and smart cities will hugely impact sustainable development and SCM operations. Several studies have recently examined the use of information technology in supply chains, but few have specifically addressed smart cities and Big Data, according to literature analyses.

This study tests the Post-Keynesian theory regarding bank stock returns and money supply endogeneity in the context of South Asian countries. This study uses panel data set from different sources over twenty-eight (28) years. The research uses different econometric techniques before switching to the generalized method of moments (GMM). The empirical results indicate a significant positive effect of net interest rate margins on bank loans in South Asian countries, whereas a positive relationship exists between foreign to local interest rates and the money supply. The findings depict that positive associations exist between inflation and money supply of banks, and between the money supply and bank stock returns. More specifically, the GMM results show that the money supply has positively affected the stock prices of banks suggesting strong policies for the stakeholders of these economies for the sake of economic growth and sustainable development.