Cai Li’s research while affiliated with Jiangsu University and other places

In the rapidly unpredictable economic and environmental era, the Arctic region stands at a pivotal crossroads. Globally, the rise in carbon emission (CEM) has continued to escalate in recent decades. Still, extant analyses have not sufficiently investigated the variables contributing to CEM dissipation, particularly in the Arctic Council. Therefore, this paper closes the knowledge gap by assessing the influence of environmental technology (EVT), economic policy uncertainty (EPU), renewable energy transition, and urban transition on CEM. Moreover, the study investigated the moderation effect of environmental governance on the interconnection between EPU and CEMs, incorporating historical data from 30 years ago (1990–2020). The research applied three econometric techniques, moments quantile regression, fully modified ordinary least square (FMOLS), and Driscoll and Kray standard errors (DSK), to ascertain the interaction among the research indicators. The study’s outcome established that (1) the switch to renewable or cleaner power supply, EVT, and governance improves ecological health. (2) Environmental policy uncertainty and urban transition disrupt ecological stability in the Arctic region. (3) Environmental government moderates the effect of EPU and CEM. The study provides policy-makers, stakeholders, and politicians with essential policy recommendations to help establish resilient and environmental quality in the Arctic region and beyond.

Discussions about the threats that climate change poses to the viability of humans and other living things have been the topic of discussion among international organizations, academics, and businesses. Despite the massive contribution of manufacturing firms to the economic development of many countries, their actions and inactions contribute to a higher level of environmental pollution. China is among the leading countries in terms of global carbon emissions. Therefore, this research seeks to explore the role played by green psychological climate (GSC) and green human resource management (GHRM) in improving employees’ green behavior (EGB). The study further evaluated the moderation influence of green transformational leadership (GTFL. The research received 565 responses from manufacturing firms in the Jiangsu Province of China within 8 months. The AMOS software was applied to test the proposed research hypothesis. The study outcome concluded that GHRM positively and significantly influences GSC and EGB. Moreover, GSC, directly and indirectly, affects the connection between GHRM-EGB. Lastly, the analysis confirmed that GTFL moderates the link between GHRM and staff behavioral outcomes. This study’s novelty and originality focused on GSC’s mediating effect in improving the relationship between green human resource management and green employee behavior. The research recommends that firms accomplish their greener and ecological targets by strengthening their GHRM and GSC and providing a GTFL approach to stimulate EGB at the workplace.

This study examines the nexus between green entrepreneurship (GE) and green industrial transformation (IGT) in industries in China between 1991 and 2020 by using a non-linear autoregressive distribution lag (NARDL) model while controlling for trade, talent reserve, and financial development which are potential factors affecting industrial transformation. The study goes on to check whether the effects of GE on IGT are symmetric or asymmetric in China, where industrial pollution in the form of greenhouse gas emissions and solid waste was among the highest in the world prior to the introduction of the Environmental Protection Law in 2016. Our results affirm a positive relationship between green entrepreneurship and green industrial transformation. Evidently, it was found that there is an asymmetric relationship in the short term and to a lesser extent in the long term. Furthermore, the findings show that financial development and trade have a positive impact and contribute significantly to green industrial transformation for green development and environmental excellence in both the long and short term. Therefore, in order to support China’s ambitious goals of a low-carbon and eventually carbon–neutral industry, entrepreneurial activity support is needed in the development of clean and green technologies to be implemented to promote industrial eco-innovation.

In the wake of the increasing environmental challenges and the urgent need for sustainable development, this study focuses on the complex issue of mineral resource management. Given the growing global demand for minerals and the environmental impact of extraction, the research seeks to uncover the solutions that promote green growth while effectively addressing the ecological consequences of resource utilization in China. In the study, six factors, twenty‐four sub‐factors, and five potential solutions have been identified influencing sustainable mineral resource management and green growth. The study utilizes fuzzy Analytical Hierarchy Process (AHP) to assess these factors and sub‐factors. Following, the study utilizes fuzzy Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method to evaluate and rank five potential solutions for sustainable development. The fuzzy AHP results indicate that environmental impact mitigation, robust policy frameworks, and innovation in extraction techniques are the most crucial factors. The fuzzy TOPSIS findings indicate that technological innovation for sustainability ranks highest, followed by policy‐driven green growth, socio‐economic empowerment, enhanced environmental stewardship, and integrated circular economy approaches. These findings emphasize the critical role of advanced technologies and robust policies in promoting sustainability while addressing the socio‐economic and environmental dimensions of mineral resource management.

The rising recognition of ecological challenges has prompted a shift towards sustainable business actions and practices, emphasizing the imperativeness of green innovation. Understanding the drivers of eco-innovation systems becomes crucial for firms’ success as global economies transition towards greener alternatives. Hence, this article’s main goal is to delve into the link between environmental orientation, green transition, perceived environmental uncertainty and green transformation (GTL) from the perspective of Chinese SMEs. This paper employs a comprehensive research design utilizing Partial Least Squares Structural Equation Modeling and Necessary Condition Analysis (NCA) to explore data from 530 Chinese SMEs. The findings highlighted that environmental orientation positively and significantly impacts SMEs’ green transitional agendas and perceived environmental uncertainty. The paper also highlights the inverse connection between PEU and the innovation ecosystem. The iteration effect of green transformational leadership between environmental orientation and innovation ecosystem was confirmed. Incorporating perceived environmental uncertainty adds a dynamic element, acknowledging the evolving nature of environmental challenges and their impact on innovation strategies. The study also finds that green transformational leadership may effectively moderate these associations, illuminating the essential function managerial leadership plays in assisting people in managing the challenges of innovation in an environment that is changing quickly. With these new perspectives, businesses can design initiatives that foster innovation within their ecosystems and advance the objectives of the green transition.

Purpose Organizations encourage green creativity among their employees to reduce environmental pollution and attain sustainable development. Green, inclusive leadership can produce positive outcomes and influence employees' green innovation. However, green inclusive leadership and green creativity are empirically less examined in the sustainability literature. Therefore, this study theorized a conceptual model based on the organizational creativity theory to explore the influence of green inclusive leadership on employees’ green creativity. It also aimed to explore the intermediating effect of green passion and green absorptive capacity on the relationship between green inclusive leadership and green creativity. Design/methodology/approach Data were gathered through a self-administered questionnaire-based survey from 540 employees of a manufacturing enterprise in China. The hypotheses were analyzed using the partial least squares structural equation modeling (PLS-SEM) technique. Findings The findings reveal that green inclusive leadership positively and significantly influences employees' green creativity. Moreover, the results show that green passion and green absorptive capacity play positive mediating roles in the relationship between green inclusive leadership and green creativity. Practical implications This study offers practical implications for Chinese manufacturing enterprises, where green inclusive leadership is essential to enhance green passion, green absorptive capacity and green creativity among employees. Originality/value Drawing upon the organizational creativity theory, this research study is novel because it is one of the few empirical research studies to explore green inclusive leadership and green creativity in Chinese manufacturing enterprises. It further establishes the positive mediating role of green passion and green absorptive capacity in the relationship between green inclusive leadership and green creativity.