This research focuses on the construction of the competency of “Double-qualified” teachers in higher vocational colleges. Through comprehensive literature analysis, in-depth interviews and questionnaire surveys, a competency model covering three dimensions, namely personality charm, teaching literacy and practical skills, has been successfully established. This model provides a scientific basis for higher vocational colleges in teacher selection, performance evaluation and professional training, and particularly emphasizes the importance of teachers’ cultivation of students’ practical abilities and professional qualities in the context of vocational education. The research reveals that these three competency dimensions are interdependent and jointly influence teachers’ educational and teaching achievements as well as students’ career development.

This paper aims to systematically analyze the current state of plastic waste legal supervision in China and to propose a vision for future governance frameworks. In recent years, along with the vigorous rise of emerging industries such as the express delivery industry and takeaway services, the consumption of plastic products has increased sharply. This trend has triggered profound reflection and high vigilance on the issue of plastic waste supervision. This trend has triggered profound reflection and acute vigilance regarding the regulation of plastic waste. Although the Chinese government has initiated multiple regulatory measures and achieved certain outcomes, from a macroscopic perspective, the issue of plastic waste pollution remains grave, and the relevant legal and regulatory system presents a complex situation with limited enforcement efficacy. Hence, it is exceptionally urgent and significant to deeply explore and formulate legislative strategies aimed at alleviating and regulating plastic waste pollution. This paper is dedicated to systematically analyzing the current state of plastic waste legal supervision from both international and domestic dimensions, and meticulously outlining the regulatory framework for plastic waste governance in China. Through the application of legal norm research methods, this paper dissects the flaws and challenges existing in the current governance mechanisms and further conducts a comparative study of the successful practices in this field in developed countries like the United States, with the intention of drawing valuable experiences. On this basis, this paper not only offers a forward-looking outlook on China’s future legislative tendencies in plastic waste pollution but also innovatively proposes a series of new insights and recommendations. These explorations aim to provide a more solid theoretical foundation and practical guidance for the governance approach to plastic waste pollution in China, promote the improvement and enhancement of the enforcement effectiveness of environmental regulations, and thereby effectively confront the global challenge of plastic pollution.

This study uses the annual financial data of Chinese A-share listed firms from 2010 to 2020 to investigate the relationship between multiple large shareholders (MLS) and earnings management (EM). After analyzing the samples using the Ordinary Least Squares (OLS) model and endogenous switching regression (ESR) model, the empirical results show that the presence of MLS can increase corporate EM activities and the MLS have a significantly positive effect on EM in both the treatment and control groups. In addition, this conclusion still holds after conducting multiple robustness tests. The cross-section analysis shows that the external audit supervision quality, institutional shareholders, and the uncertainty of the external economic environment have significant impacts on the baseline model results. Lastly, mediation effect analysis shows that the presence of MLS increases the corporate operating risk through EM activities. The conclusions of this paper are critical for policymakers to supervise China’s capital market, improve the level of corporate governance of China’s listed firms, and further promote reform of ownership structure.

This academic paper explores the impact of multi-entity cooperation on the effectiveness of public service provision in China. It examines the social governance pattern proposed by the 19th National Congress of the CCP and the emphasis on co-building, co-governing, and sharing. The paper highlights the need for collaboration among various entities and the transition from sole government provision to improve urban public services. It aims to investigate the moderating effects of institutions, policies, and public participation. The study will involve quantitative and qualitative phases in three cities in Guangdong Province and target governmental departments, commercial organizations, non-profit social organizations, and local residents. The research aims to provide policy recommendations, innovate institutional policies, enhance public engagement, and improve multi-party cooperation and urban public services. It seeks to contribute practical models and measures for effective government public management and service implementation.

Based on the population change data of 2005–2009, 2010–2014, 2015–2019 and 2005–2019, the shrinking cities in Northeast China are determined to analyze their spatial distribution pattern. And the influencing factors and effects of shrinking cities in Northeast China are explored by using multiple linear regression method and random forest regression method. The results show that: 1) In space, the shrinking cities in Northeast China are mainly distributed in the “land edge” areas represented by Changbai Mountain, Sanjiang Plain, Xiaoxing’an Mountain and Daxing’an Mountain. In terms of time, the contraction center shows an obvious trend of moving northward, while the opposite expansion center shows a trend of moving southward, and the shrinking cities gather further; 2) in the study of influencing factors, the results of multiple linear regression and random forest regression show that socio-economic factors play a major role in the formation of shrinking cities; 3) the precision of random forest regression is higher than that of multiple linear regression. The results show that per capita GDP has the greatest impact on the contraction intensity, followed by the unemployment rate, science and education expenses and the average wage of on-the-job workers. Among the four influencing factors, only the unemployment rate promotes the contraction, and the other three influencing factors inhibit the formation of shrinking cities to various degrees.