The CSR perspective: Interplay of technological innovation, ethical leadership and government regulations for sustainable financial performance.

The financial performance of Chinese public and private sector banks is changing over time. There is no stability in the financial performance of Chinese banks which hurts businesses and the market. The purpose of current research was to determine the influence of corporate social responsibility (CSR) on driving the sustainable financial performance of Chinese banks. From methodological perspective, data was collected from 329 banking sector employees from China to partial least square-structural equation model (PLS-SEM) is employed for data analysis. The research used SPSS 24 and Smart PLS 4 as statistical analysis tools. This research confirmed that achieving sustainability in financial performance for Chinese banks can be achieved with CSR influenced by technological innovation, ethical leadership, and government regulations. This research has statistically confirmed that transformational leadership leading to CSR with technological innovation, ethical leadership, and government regulations can make significant improvements in financial performance. The framework developed by current research is a novel contribution to the literature. The findings of this research improve the literature on the banking sector and advanced performance. Furthermore, this research has highlighted significant ways that can help the banking sector employees to improve their financial performance with sustainability.

The determinants of carbon emissions in Belt and Road Initiative countries: analyzing the interactive role of information and communication technologies.

Belt and Road Initiative (BRI) countries have benefited greatly from the intelligent growth of the green economy made possible by the widespread adoption of internet and mobile phone technologies. In addition, renewable energy consumption endorses sustainable development. Therefore, the purpose of this research is to determine if the use of information and communication technology (ICT) and renewable energy consumption has an effect on sustainable development in BRI countries, while using the augmented mean group (AMG) model, AMG robustness test, and panel Dumitrescu-Hurlin causality test to get robust results. According to the results of the study, the information and communication technology, renewable consumption, human capital, and urbanization reduces the emission of carbon dioxide emission in BRI countries while economic growth enhances the CO2 emission. Therefore, it is recommended that BRI countries increase their inter-regional cooperation in order to boost investment in renewable energy, effectively use the spillover effect of technology and knowledge, and end the resource curse in environmental policy. Based on the results, the authors of this paper propose a number of important steps toward environmental sustainability.

How economic policy uncertainty and geopolitical risk affect environmental pollution: does renewable energy consumption matter?

Climate change traps heat, affecting various species in previously dry areas. Climate change brought on by emissions of greenhouse gases exacerbates problems such as severe storms, earthquakes, epidemics, and food distribution. The group of developed and developing countries, the world's biggest carbon emitters and most significant economies, is expertly planning to lessen its environmental challenges and contribute to achieving Sustainable Development Goals 7 and 13 set by the United Nations. This study uses the novel econometric methodologies of the dynamic ordinary least square (DOLS) estimator, the augmented mean group (AMG) estimator, and the fully modified ordinary least square (FMOLS) estimate to examine the influence of economic policy uncertainty, renewable energy consumption, geopolitical risk, non-renewable energy consumption, and economic growth on ecological footprint from 2000 to 2021. The results reveal that the variables are co-integrated; REC reduces carbon emissions, EPU, geopolitical risk, and economic growth contribute to increasing carbon emissions, while urbanization improves carbon emission. Finally, the results suggest that the developed and developing economies can progress toward SDGs 7 and 13 by using renewable energy, lowering the geopolitical risk, effectively handling policy uncertainty, and reducing urbanization.

Exploring the relationships between attitudes toward emission trading schemes, artificial intelligence, climate entrepreneurship, and sustainable performance.

The research objective of this research paper is to examine the relationships between organizational commitment to emission trading schemes, artificial intelligence, and climate entrepreneurship, as well as their impact on sustainable performance, i.e., environmental and organizational performance in organizations. This study aims to identify the key drivers and barriers to the adoption of these factors and to understand how they influence environmental and organizational performance. The study utilizes a cause-and-effect design on the sampled size of 387 subjects and employs the Smart PLS version 4.0 statistical tool to estimate the interactions between all constructs in the structural equation modeling. The research questions aim to explore the key drivers and barriers to the adoption of these factors in organization and their impact on sustainable performance, i.e., environmental and organizational performance. The study hypothesizes that organizational commitment to emission trading schemes, AI, and climate entrepreneurship has a positive impact on sustainable performances such as environmental and organizational performance. The findings suggest that attitudes toward AI and emission trading schemes have a direct impact on climate entrepreneurship, environmental performance, and organizational performance. By considering these factors together, the study seeks to uncover the synergistic effects and potential interactions between them and sheds light on their combined influence on environmental and organizational performance. Organizations can enhance environmental and organizational performance by prioritizing their attitudes toward emission trading schemes, AI, and climate entrepreneurship through resource allocation, technology investment, and fostering a climate entrepreneurship mindset. The research concludes that businesses that demonstrate high organizational commitment, positive attitude toward the ETS, and a focus on climate entrepreneurship experiences improved environmental and organizational performance.

How natural resources depletion, technological innovation, and globalization impact the environmental degradation in East and South Asian regions.

Rapid economic expansion has caused resource depletion, globalization issues, and environmental deterioration. Globalization has highlighted East and South Asian mineral richness. This article investigates the effects of technological innovation (TI), natural resources, globalization, and renewable energy consumption (REC) on environmental deterioration in the East and South Asian region from 1990 to 2021. The cross-sectional autoregressive distributed lag (CS-ARDL) estimator is used to estimate short- and long-run slope parameters and dependencies across countries. The results demonstrate that many natural resources significantly enhance environmental degradation, while globalization, TI, and REC reduce emission levels in East and South Asian economies and that economic growth significantly degrades ecological quality. This research suggests that governments in the East and South Asian region develop suitable policies that promote the efficient use of natural resources via technological advancements. Furthermore, future policies regarding energy consumption, globalization, and economic development should be aligned with the aims of sustainable environmental development.

Exploring the nonlinear relationship among financial development, human capital and CO2 emissions: a comparative study of South and East Asian emerging economies.

Despite worldwide commitments to reduce fossil fuel consumption in favour of alternative energies, several countries still rely on carbon-intensive sources to meet their energy demands. The previous studies show inconsistent results on the association between financial development and CO2 emissions. As a result, the impact of financial development, human capital, economic growth and energy efficiency on CO2 emission is evaluated here. Empirical research on a panel of 13 South and East Asian (SEA) nations between 1995 and 2021 using the CS-ARDL. Estimates from the empirical analysis considering energy efficiency, human capital, economic growth and overall energy use yield different findings. Financial development has a negative effect on CO2 emission, while economic growth positively impacts CO2 emission. The data also show that improving human capital and energy efficiency has a positive, though statistically insignificant, impact on CO2 emission. According to the causes and effects analysis, CO2 emission will be influenced by policies that aim to improve financial development, human capital, and energy efficiency, but not vice versa. Policy considerations that can be implemented in light of these findings and sustainable development goals can be accomplished by promoting financial resources and human capital.

Artificial Intelligence and Human Psychology in Online Transaction Fraud.

Banking operations have changed due to technological advancement. On one hand, modernization in technology has facilitated the daily operation of banks; on the other hand, this has also resulted in an increase in the number of cyber-attacks. Artificial Intelligence has introduced new models to detect and prevent cybercrimes. Some fraud has also occurred due to the involvement of employees inside particular organizations. So, this study has focused on both sides: the machine as well as the human. Firstly, the research has focused on fraud diamond theory and has analyzed factors such as rationalization, capabilities, perceived pressure, and perceived opportunities to understand the psychology of the fraudster. Secondly, Artificial Intelligence characteristics, threat exposure, big data management, explainability, cost effectiveness, and risk prediction are evaluated to explore their use in fraud reduction in banks. The research data have been collected from 15 Banks in Pakistan with the help of a questionnaire using five-item Likert scales. The data have been analyzed using IBM SPSS Software. The results gained after correlation and regression analysis proved that Fraud diamond theory and AI characteristics have positive and significant effects on cybercrimes. This study is a great contribution to the banking industry of Pakistan as it provides a complete analysis to control fraud inside organizations by understanding the mindset of fraudsters with the help of fraud diamond theory. At the same time, outside fraud will be handled with the help of Artificial Intelligence. This will result in banks growth, which ultimately boosts the economy of a country.

Globalization toward environmental sustainability and electricity consumption to environmental degradation: does EKC inverted U-shaped hypothesis exist between squared economic growth and CO2 emissions in top globalized economies.

The study inspects the inverted U shape of the environmental Kuznets curve (EKC) hypothesis following the influence of economic growth on CO2 emissions and the reaction of electricity consumption and globalization toward CO2 emissions in top globalized economies. This study has taken the data of the top 9 globalized countries from 1990 to 2019 while adopting fully modified ordinary least squares and dynamic ordinary least squares panel cointegration approaches to determine the long run effects and Dumitrescu and Hurlin panel causality for the directions of the causality among the variables. According to the long-term findings of the research, economic growth and electricity consumption substantially contribute to CO2 secretions. On the other hand, the squared growth and globalization mitigate CO2 emissions and contribute to environmental sustainability. However, the inverse influence of squared growth on CO2 emissions shows the presence of the inverted U shape of the EKC hypothesis. Furthermore, Dumitrescu and Hurlin causality measures have shown the bi-directional causality of electricity consumption and economic growth with CO2 emissions and globalization with economic growth. At the same time, unidirectional causality exists from globalization to CO2 emissions, economic growth to electricity consumption, and electricity consumption to globalization. The study recommends long-term globalization and sustainable development projects to ensure environmental sustainability in these globalized economies.