This study aims to explore the research on Chinese higher education policy from 2005 to 2024 through a bibliometric analysis. It is revealed that a continuous growth trend and sustained academic interest in this field. Mainland China leads in publication quantity, showcasing the active involvement of Chinese scholars in higher education policy research. Institutions like Peking University, the University of Hong Kong, and Beijing Normal University play significant roles in this research domain. The focus of research has shifted from student attitudes to international students, teachers, innovation models, changing demands, and urban education development, reflecting a growing emphasis on sustainability and internationalization. The study highlights the positive development trajectory of Chinese higher education policy research, with expanding research focuses and deepening concerns for sustainability and internationalization.

Demographic policy is one of the key tasks of almost any state at the present time. It correlates with the solution of pressing problems in the economic and social spheres, directly depends on the state of healthcare, education, migration policy and other factors and directly affects the socio-economic development of both individual regions and the country as a whole. Many Russian and foreign researchers believe that demographic indicators very accurately reflect the socio-economic and political situation of the state. The relevance of the study is due to the fact that for the progressive socio-economic development of any country, positive demographic dynamics are necessary. The main sign of the negative demographic situation that has developed in modern Russia and a number of countries, primarily European, is the growing scale of depopulation (population extinction). The purpose of this work was to analyze the existing demographic policy of Russia and compare demographic trends in Russia and other countries. The work uses methods of statistical data analysis, comparison of statistical indicators of fertility, mortality, natural population decline, migration, marriage rates in Russia and the Republic of Srpska, methods of retrospective analysis, research of the institutional environment created by the action of state and national programs “Demography”, “Providing accessible and comfortable housing and public services for citizens of the Russian Federation”, “Strategy of socio-economic development for the period until 2024”, Presidential decrees, etc. Research has shown that despite measures taken to overcome the demographic crisis, Russia’s population continues to decline. According to the Federal State Statistics Service of the Russian Federation (Rosstat), as of 1 January 2023, 146.45 million people lived in Russia. By 1 January 2046, according to a Rosstat forecast published in October 2023 the country’s population will decrease to 138.77 million people. To solve demographic problems in the Russian Federation, a national project “Demography” was developed and approved. The government has allocated more than 3 trillion rubles for its implementation. However, it is not possible to completely overcome the negative trend. The authors proposed a number of economic and ideological measures within the framework of agglomeration, migration, and family support policies that can be used within the framework of socio-economic development strategies and national programs aimed at overcoming the demographic crisis.

Universities play a key role in university-industry-government interactions and are important in innovation ecosystem studies. Universities are also expected to engage with industries and governments and contribute to economic development. In the age of artificial intelligence (AI), governments have introduced relevant policies regarding the AI-enabled innovation ecosystem in universities. Previous studies have not focused on the provision of a dynamic capabilities perspective on such an ecosystem based on policy analysis. This research work takes China as a case and provides a framework of AI-enabled dynamic capabilities to guide how universities should manage this based on China’s AI policy analysis. Drawing on two main concepts, which are the innovation ecosystem and dynamic capabilities, we analyzed the importance of the AI-enabled innovation ecosystem in universities with governance regulations, shedding light on the theoretical framework that is simultaneously analytical and normative, practical, and policy-relevant. We conducted a text analysis of policy instruments to illustrate the specificities of the AI innovation ecosystem in China’s universities. This allowed us to address the complexity of emerging environments of innovation and draw meaningful conclusions. The results show the broad adoption of AI in a favorable context, where talents and governance are boosting the advance of such an ecosystem in China’s universities.

This research aims to comprehensively investigate contemporary practices and factors influencing global tax avoidance and evasion through a systematic literature review (SLR) and bibliometric analysis. This study methodology uses SLR with bibliometric analysis to map this research trend. Relevant literature was collected and systematically analyzed to identify key themes, methodologies, and findings regarding tax avoidance and evasion. The study’s findings identify various tax avoidance practices, including profit shifting, transfer pricing strategies, and the use of tax havens by multinational corporations. The report also highlights various forms of tax evasion, such as money laundering and illicit financial flows. Key factors influencing tax behavior are ethical considerations, government policies, economic factors, and corporate governance practices. This analysis highlights the complex interactions between these factors in shaping tax practices globally. The study’s conclusions show that effective tax governance requires a multifaceted approach integrating ethical standards, a strong regulatory framework, and international cooperation. Ethical corporate behavior and transparent reporting are essential in promoting tax compliance and fairness. This study emphasizes the critical role of policymakers in designing and enforcing tax policies that discourage aggressive tax planning while encouraging economic growth and equality. Recommendations from these findings are to increase transparency in multinational operations, strengthen international tax cooperation, and improve global tax administration capabilities. In addition, increasing taxpayer education and awareness can foster a culture of compliance and ethical tax practices. Future research should prioritize longitudinal studies and case-specific analyses to deepen understanding and develop targeted interventions to address tax avoidance and evasion challenges.

Over the past twenty years, service organizations have adopted total quality management to enhance their service quality, significantly impacting business performance, customer satisfaction, and profitability. This study delves into policy development of sustainable quality management theory, benefits, and various service components, while reviewing its implementation in services industries and policy innovation. The concept of Sustainable Quality Management 4.0 (SQM 4.0) integrates sustainable management, traditional quality management, and Quality 4.0 principles to optimize resources, reduce environmental impacts, and enhance decision-making through Industry 4.0, IoT, AI, and big data analytics. The findings offer valuable framework and policy insights for managers and practitioners on quality management and service systems, providing an implementation framework for Sustainable Quality Management in the service sector. The paper outlines comprehensive elements and strategies for implementation as a SQM framework for attaining sustainable quality management in the services industry.

This research aims to explore the impact of government policies to promote mass tourism in Bali. Qualitative method with the support of a phenomenological approach and in-depth interviews and FGD. The Butler tourism area life cycle model theory is used to evaluate the impact of tourism on land use and cultural conflict with six stages of destination development, namely exploration, involvement, development, consolidation, stagnation, and decline or rejuvenation. The findings reveal that Bali has experienced all stages of Butler’s model. From 1960–1970, Bali was in the exploration phase, offering tourists authentic experiences. At the beginning of 1970–2000, Bali had entered five phases marked by rapid tourism growth. Now, Bali reached a consolidation phase with a focus on managing tourism quality. Now, Bali is entering a phase of stagnation, facing challenges such as overcrowding and environmental degradation. Bali is at the crossroads between phases of decline and rejuvenation, with efforts to overcome environmental problems and diversify tourism products. This study concludes that mass tourism has significant positive and negative impacts on tourist destinations. Although it can improve the local economy and preserve culture, it can also cause environmental damage and cultural conflict. The Bali government’s policy strategy for the future is to overcome cultural conflicts including tourist education, sustainable tourism development, empowerment of local communities, enforcement of regulations, and intercultural dialogue. The implementation of this policy strategy can be carried out effectively to manage cultural conflicts towards a sustainable Bali tourism future.