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In the education field, professional learning communities (PLCs) are regarded as an effective method for fostering professional development for teachers, enhancing student learning and achievement, and promoting school reform. Quality leadership and management are understood to be essential for schools to become effective PLCs. Mainly proposed by Western scholars, existing PLC frameworks explicitly or implicitly assume that PLCs should be initiated and led by teachers themselves, following a bottom-up approach. The goal of this conceptual overview paper is to challenge certain taken-for-granted core principles of Western PLC frameworks by analyzing the current approach to PLCs adopted by preschools in mainland China, which follow a top-down leadership and management approach. We review multiple research streams, including policy frameworks and regulations, as well as the most relevant conceptual, theoretical, and empirical studies published in recent years. After reviewing China's core socio-cultural traditional values, we describe the recent policies that have mandated the establishment and implementation of PLCs in Chinese preschools. We then review several recent studies that demonstrate that, despite profound differences to Western frameworks, PLCs in Chinese preschools are effective in benefitting teachers and highly regarded by the relevant stakeholders. The literature shows that Chinese preschools enact culturally situated versions of PLCs, characterized by some standard PLC principles (e.g., shared vision, collaboration, and collective responsibility) alongside features that resonate with Confucian values (e.g., strong hierarchical structure, guidance of external experts, internal leadership support, and greater emphasis on ecological support rather than personal agency and autonomy). We conclude that Chinese preschools merit international attention, as their approach to leadership and management allow us to reconsider certain core principles of Western PLC frameworks. Future directions for PLC policy and practice are suggested. [ABSTRACT FROM AUTHOR]

Quantitative analysis of the contribution rate of China’s hydraulic science and technology and analysis of the underlying reasons behind changes provide an important foundation upon which the government can formulate water policies. This paper abandons the assumption of a scale economy and separates the changes of benefits brought about by the scale from scientific and technological progress, thus changing the C-D production function from linear to nonlinear. Based on a feedforward neural network, it calculates the coefficient of the output elasticity, the economic contribution rate of China’s hydraulic science and technology and the scale economies for each year using relevant data from 1981 to 2016. The results show that (1) the average contribution rate of capital investment from 1981 to 2016 was 47.3%, and the average contribution rate of labor from 1981 to 2016 was 9.1%. It is not obvious that the significant increase in the labor force has contributed to the growth of China’s water conservancy industry. (2) The average contribution rate of scale economies in 1981–2016 was 26.7%, and the contribution rate of scale economies is negatively correlated with the capital contribution rate. (3) The average contribution rate of China’s hydraulic science and technology was 43.6% from 1981 to 2016, and the average contribution rate of the total factor productivity after removing scale economies from 1981 to 2016 was 16.9%. During the period of the 6th Five-Year Plan(1981~1985), the contribution rate of water conservancy science and technology was relatively high. Since that time, it has remained at 40%. In recent years, as water conservancy reforms in key areas have made positive progress, scientific and technological progress has increased the growth of water conservancy benefits annually. [ABSTRACT FROM AUTHOR]

China is facing severe pressure on its water resources and water environments. Calculating the industrial water efficiency of each province is an important index for the central government to evaluate local governments. In the traditional water resources evaluation index, the industrial water use efficiency and pollutant discharge are evaluated separately. In this paper, we collected industrial input data, output data and pollutant discharge data with a four-stage data envelopment analysis to calculate China's industrial water use efficiency with and without considering pollutant discharge, and then analyzed the factors influencing the industrial water use efficiency. The results show that the eastern coastal provinces of China have the highest water use efficiency and are less affected by pollutant discharge than other provinces. The industrial water use efficiency of the central and western provinces is lower than that of the other provinces, and the industrial water use efficiency in the central provinces is greatly affected by pollutant discharge. Factor endowment, economic development level, scientific and technological progress, industrial structure, proportion of foreign investment, water consumption per 10000 yuan of value-added by industry, industrial sewage treatment capacity and educational investment have a significant influence on the industrial water use efficiency of China. We suggest that the government strengthen the construction of sewage plants and other related infrastructure in central provinces when conducting the industrial transfer of heavy polluting enterprises. [ABSTRACT FROM AUTHOR]