Philanthropic Foundations as Sustainability Partners: Visualization Analysis of Climate Funding Flows in China
Abstract: Despite substantial efforts being made through public and private sources, funding for climate change mitigation falls far short of what is needed. Meanwhile, philanthropic sources have begun to emerge as important sustainability partners by connecting multiple sectors and guiding funding flows. In this study, we aim to provide a comprehensive overview of climate-related funding in China through philanthropic foundations. Using a classification framework for climate change through co-word analysis and text segmentation techniques, we apply visualization analysis to depict the changing pattern of climate philanthropy in China by analyzing donors, subfields, and flow of funds between 2008 and 2019. We conclude by providing suggestions for funders, charities, and policymakers seeking to enhance the value of collaborative governance in addressing climate change.
Keywords: climate funding flows, philanthropic foundations, classification framework, visualization, co-word analysis
Na Ni, Dongrui Wu, Xiaofeng Xie, Yingtong Chen, Zhui Jian, Jincheng Qiu, Peichang Zhang (Jul.2022). Philanthropic Foundations as Sustainability Partners: Visualization Analysis of Climate Funding Flows in China. Submitted to Climate Policy (Major Revision).
Research on the Employment Promotion Policy of Chinese College Graduates in the Post-epidemic Era — Based on Content Analysis and Quantitative Analysis of Policy Text
Abstract: The government’s correct formulation of employment policies is an important basis for realizing the national employment priority strategy, and it is also a key factor in promoting the employment of college graduates. It has important theoretical value and practical significance to analyze the employment promotion policy of college students in the post-epidemic era from the perspective of policy tools. Using content analysis and quantitative analysis methods, select 46 employment promotion policies for college graduates issued by government in one year after the outbreak of the COVID-19 as the analysis samples, and construct a two-dimensional policy analysis framework based on the theory of policy tools and the dimensions of human resource management. Research has found that Chinese employment policies in the post-epidemic era have the problems of excessive supply-oriented and environmental policy tools, and insufficient demand-based policy tools, and the cultivation and retention of human resource management needs to be strengthened. From this, it puts forward policy recommendations such as improving the comprehensiveness of the employment policy tool system, exerting the systemic nature of human resource management links, and constructing the dynamic nature of a multi-party collaborative operation system.
Keywords: employment policy; post-epidemic era; text analysis; policy research; employment of college students
Jing Sun, Xiaofeng Xie (Aug.2022). Research on the Employment Promotion Policy of Chinese College Graduates in the Post-epidemic Era- Based on Content Analysis and Quantitative Analysis of Policy Text (IN CHINESE). Submitted to Higher Education Forum (Accepted).
Research on Users Learning Needs and Response Strategies of Natural Museum — An Positive Analysis from the Perspective of Contextual Model of Learning and User Online Comments
Abstract: Using the public consultation and user online comment data of representative natural museums, the core learning needs and motivations of users of natural museums, are identified through the analysis of word clouds, subject word analysis, and co-occurrence networks. The dimension of personal situations is mainly expressed in the expectation of exhibition themes such as natural science knowledge, biological and humanistic stories, local culture and life. In the dimension of social situation, it is mainly manifested as demands for children’s education, adult learning, research, leisure, social interaction, etc., as well as needs for deep participation and interaction. The dimension of environmental scenarios is mainly manifested in the demand for the uniqueness of the museum’s physical environment and the immersion of the exhibition form. Through long-tail theoretical analysis and sentiment analysis, it is further found that the marginal-level words in user comments and the relatively low-frequency neutral and negative sentiment words are innovative directions for future natural museums’ operation. Natural museums can build personal scenarios by strengthening interpretation and connecting emotions and social systems by developing second classrooms and opening up “third spaces” and environmental scenarios by creating personalized environments and immersive exhibitions.
Keywords: natural museum; situational learning model; user learning needs; response strategy; empirical analysis
Yurong Huang, Xiaoqian Gong, Xiaofeng Xie (May.2022). Research on Users’ Learning Needs and Response Strategies of Natural Museum – An Positive Analysis from the Perspective of Contextual Model of Learning and User Online Comments (IN CHINESE). Submitted to Chinese Museum (Under Review).