Asad Ullah Khan

Green technological innovation is an essential pathway for transforming extensive production methods characterized by “high energy and high emissions”, achieving corporate green transformation, and ascending the value chain. Adhering to the scientific principles of energy conservation, emission reduction, and low-carbon development, this study, set against the backdrop of carbon peak, constructs a green technological innovation ecosystem comprising government, enterprises, and consumers. It analyzes the evolutionary processes of each stakeholder and the system under different scenarios, further simulating the impact of various factors on system equilibrium through numerical simulations. The research reveals that proactive government regulation can guide enterprises toward green technological innovation and the development of low-carbon production; an increase in consumers’ green preferences helps to expand the green consumer market and stimulates enterprises’ willingness to innovate greenly; and the initial strong willingness of each stakeholder significantly influences the system’s evolutionary path. Based on evolutionary game theory, this paper enriches the theory of green technological innovation ecosystems and provides references for overcoming barriers such as the difficulty in expanding the green consumer market and the premium pricing of green products during the green consumption process.

This research leverages bibliometric methodologies, enhanced by the visual analytics capabilities of CiteSpace, to meticulously examine the evolution and current trends in energy trading within power markets, analyzing 642 scholarly articles from the Web of Science Core Collection spanning from 1996 to 2023. The study aims to illuminate the prevailing research landscape, growth patterns, and future directions in energy trading dynamics. Key findings include: (1) A noticeable escalation in the volume of publications, especially from 2021 to 2023, indicating a burgeoning interest and rapid evolution in this research area; (2) The author and institutional collaboration networks are in a nascent stage, with a predominantly China-centric international collaboration pattern, including significant partnerships with the United States, Australia, and the United Kingdom; (3) The focal points of research are centered around themes such as “energy management”, “demand-side innovation”, “decentralized energy trading”, and “strategic optimization”, covering areas such as intelligent grid technologies, energy market dynamics, and sustainable energy solutions. The study recommends enhancing collaborative networks, fusing technological and strategic dimensions in research, increasing focus and funding for emerging technologies, and promoting wider international and cross-disciplinary collaborations to enrich the understanding of energy trading dynamics in the context of electricity markets.

This research scrutinizes the trends and dynamics of Intellectual Property Protection (IPP) of Intangible Cultural Heritage (ICH) in China, utilizing a dataset of 91 papers from the CNKI database spanning 2011 to 2020. The study uses CiteSpace software to visualise and analyse the literature across multiple dimensions, including article count, authorship, institutional affiliations, and keyword co-occurrence. Findings indicate a lack of robust collaboration among authors and institutions in IPP and ICH, with a scarcity of active cooperative groups. Critical research hotspots identified encompass intangible cultural heritage, intellectual property protection, inheritors, legal protection, copyright, intellectual property law, and geographical indications, with the legal safeguarding of ICH’s intellectual property, digital conservation, traditional cultural expressions, and original authentication emerging as the leading research frontiers. This investigation provides a holistic view of China’s IPP and ICH landscape, offering essential scientific insights for ongoing scholarly discourse. This study mainly benefits policymakers and stakeholders in the cultural heritage sector, underscoring the necessity of enhanced authorial and institutional collaboration and the prioritization of legal and digital protection mechanisms to safeguard China’s intangible cultural legacy for posterity. The analysis is critical, informing policy formulation and strategic planning to bolster ICH’s protection and sustainable management in China.

The participation of villagers in rural public affairs is vital for the sustainable development of rural communities and the improvement of villagers’ quality of life. Various factors, including individual characteristics, village environment, social forces, and national policies, influence villagers’ willingness to participate. However, empirical research on the determinants of villagers’ participation in public affairs often overlooks the role of grassroots leadership. To address this gap, this study proposes a theoretical model examining the relationship between transformational leadership and villagers’ willingness to participate in public affairs. Using a sample of 438 villagers from Jiangsu Province in eastern China, structural equation modeling and regression are employed to analyze the data. The findings indicate that moral modeling, leadership charm, and personalized care directly impact villagers’ willingness to participate in public affairs or indirectly influence it through leadership identification, which acts as a mediator. Furthermore, shared vision enhances the positive relationship between leadership identification and villagers’ awareness of public affairs participation. These findings provide valuable insights for village cadres seeking to promote active participation in public affairs among villagers. Specifically, gaining recognition through virtuous conduct, capabilities, and strong cadre–villager relationships serves as a foundation for influencing villagers’ willingness to participate in public affairs, while shared vision plays a strategic role in mobilizing villagers based on their identification with leaders.