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The purpose of this paper is to explore what professional knowledge and competence (PKC) that knowledgeable others, namely, mathematics teaching research specialists (MTRS) in China, need to know, and how they may develop their PKC.

This study adopts mixed methods. A survey on PKC with 549 MTRS is utilized to examine MTRS’ perceived held and ideal PKC and perceived effective ways of developing their PKC. The responses to the open-ended questions on the survey were used to identify additional dimensions of PKC and ways of developing PKC. Multiple techniques of quantitative data analysis were employed to feature the characteristics of PKC and structure of the survey, and the relationship between background variables and perception of PKC. Collectively, this study paints a rich and comprehensive picture about Chinese knowledgeable others’ knowledge and competence, and its development.

The data analysis reveals that the participants appreciated the six-dimension model of MTRS’ PKC. They were confident with their PKC in general, but varied in different aspects. The factor analysis showed the six-dimension model could be further clustered into two components: knowledge about mathematics teaching and learning and competence in mentoring and educational leadership, and knowledge about content, assessing student learning, and use of technology. The participants perceived their learning through multiple ways including: learning through reading, attending specific training programs, attending and mentoring teaching research activities both school-based and across regions, observing and debriefing lessons, sharing within online learning communities. All these venues jointly contribute to developing MTRS’ PKC.

This is the first empirical study on MTRS’ PKC and its development in China based on such a large sample. The findings of this study not only contribute to an understanding of knowledgeable others in Chinese lesson study and providing suggestions for support of their development, but also provide implications for studies of practice-based mathematics teacher-educators globally.

There is no conclusive whether environmental regulation is a constraint or an incentive to the production development. The purpose of this paper is to analyze the non-linear effects of environmental regulations on economic outcomes from the combined perspective of labor productivity and environmental regulation costs.

Under the assumption of maximizing the utility of residents and maximizing the profit of firms, this research introduces a mathematical model that incorporates the promotion effect of environmental regulations on labor productivity and the costs of environmental regulations. On this basis, the authors analyze the non-linear relationship between environmental regulations and economic outcomes theoretically. This paper also conducts an empirical test using the panel data of 28 provinces in China from 1998 to 2015 through threshold regression.

Theoretical analysis shows that environmental regulations impose both the environmental regulation cost effect and the compensation effect on the labor productivity enhancement. The ultimate impact of environmental regulation on economic outcomes depends on the comparison of these two effects. Under the different intensities of environmental regulation, the magnitude of these two effects may not be equal. The empirical results further confirm the nonlinear relationship between environmental regulations and economic outcomes.

Previous studies have neglected the role of environmental regulations in improving labor productivity. This work’s main contribution is to propose a novel framework to study the non-linear relationship between environmental regulation and the growth of economic outcomes from perspective of labor productivity and the costs of environmental regulations.

People's socializing behavior in social networking services (SNS) presents dramatically different features, forming differentiated online social interaction patterns (DOSIP) in SNS. This study aims to explore the relationships between users' multidimensional psychological needs and multiple social interaction patterns in SNS.

Based on Maslow's hierarchy of needs and use and gratifications (U&G) theory, the authors develop the research model to examine the effects of psychological needs on DOSIP. A survey is used to collect the data of SNS users' social interaction. The authors adopt structural equation modeling–neural network (SEM-NN) integrated method to examine the research model.

Need to belong, need for self-esteem, need for social contact, need for emotional expression, need for cognition, and need for external-esteem have significant influences on both active and passive social interactions respectively.

Based on the categorization of DOSIP into six types in terms of the level of activity and disclosure of social interaction, the authors construct an integrated research model of multidimensional psychological needs to multiple social interaction patterns, and validate the antecedents of DOSIP from the perspective of psychological needs.