Background: The transfer of pollution-intensive industries in China accounts for an increasing proportion of industrial transfer, and related studies emerge endlessly. Fully exploring its research and development breadth and depth will help clarify the development trend in this field and point out the direction for future research.Method/Process: From the perspective of bibliometric analysis, with keywords as the core and cluster analysis of research hotspots as the basis, the keywords of pollution-intensive industry transfer in CNKI database are analyzed by CiteSpace software and divided into five categories. Established the text corpus model, and the network analysis transformed into a visual form. Due to the diverse research hotspots in pollution-intensive industry transfer, this article analyzes the evolution of research hotspots in this field to predict its future development trend.Conclusion/Significance: China, as the world’s factory, is affected by relevant policies, and industrial transfers have generally occurred. Industrial transfer, especially the transfer of pollution-intensive industries, has gradually attracted the attention of academic circles and has become a hot topic. When dealing with the transfer of pollution-intensive industries, industrial transfer only transfers pollution across regions. If we want to reduce pollution from the origin, innovation is an essential means. In retrospect, there were rare articles concerning the emerging polluting industries, however, recently since the emerging polluting industries have already constituted as the main source of pollution, more academic attentions are definitely needed. Although the mainstream measurement methods, the related share index method, and the input-output table have their weaknesses, respectively, the deviation share method can overcome the shortcomings of both. Therefore, it can be used as a reference for scholars to measure the transfer of pollution-intensive industries in the future.

Motivation The empowerment of design for cultural and creative products in the digital media era is further amplified by social media platforms,its emotional and subconscious impact on users is important and profound. The development of the network economy has promoted this trend. At the same time, this trend has further promoted the growth of cultural and creative products market. However, too obscure appearance design can hardly arouse the resonance of different cultural groups in a short time. As an effective method to bridge the cultural gap between consumers, emotional design has become an important driving force for the development of cultural and creative products. Purpose The purpose of this study is to understand the impact of emotional factors on the willingness and preferences of ordinary consumers to buy Chinese cultural and creative products, and to further explore whether there are cognitive differences between the emotional design standards defined and promoted by professionals and the excellent design recognized by consumers according to their life experience and personal subjective emotional preferences. Design/methodology/approach Through the construction of the emotional design model, this study selects four award-winning products in the cultural and creative product design competition and four commercial products with high sales volume in the online stores as research cases. Through 176 valid questionnaires conducted by non-professionals, this study makes an analysis by using the structural equation. Conclusions The study found that consumers' preference and purchase intention of Chinese cultural and creative products are affected by emotional design standards, but the impact results depend on the interaction of many factors. At the same time, there are also significant differences in cognitive paths between them.

Purpose In the era of mobile internet, the social Q&A community has built a large-scale and complex knowledge label network through its internal knowledge units, and the scale and structure of the network have changed over time. By analysing the structural characteristics and evolution rules of knowledge label networks, the main purpose of this study is to understand the internal mechanisms of the replacement of old and new knowledge and the expansion of knowledge element boundaries, so as to explore the realization path of knowledge management in the new era from the perspective of complex networks. Design/methodology/approach This paper uses distributed crawlers to capture 419,349 samples from the Zhihu platform. Each sample contains 33 characteristic dimensions, and the natural year is used as the sliding window to divide the whole. In this study, the global knowledge label network and 11 local knowledge label networks are first constructed. Then, the degree distribution analysis and central node exploration of the knowledge label network are carried out using the complex network method. Finally, the average shortest path and average clustering coefficient of the network are analysed by the time series method, and the ARIMA model is used to predict the evolution of the correlation coefficient. Findings The research results show that the dissimilation degree of the degree distribution of the knowledge label network has gradually decreased from 2011 to 2021, and the attention of users in the knowledge community has shown a trend of distraction and diversification over time. With the expansion of the scale of the knowledge label network and the transformation to an information network, the network sparsity is becoming more and more obvious, and the knowledge granularity of the Q&A community is being refined and diversified. The prediction of the correlation coefficient of the knowledge label network by the ARIMA model shows that the connection between the labels is lacking diversity and the opinion strengthening phenomenon tends to strengthen, which is more likely to form the “echo chamber effect”, resulting in mutual isolation and even opposition between different circles. The Q&A community is about to enter a mature stage, and the corresponding status of each label has been finalized. The future development trend of label networks will be reflected in the substitution between labels, and the specific structure will not change significantly. Originality/value The Q&A community model is the trend in Web 2.0 community development. This study proves the effectiveness of complex networks and time series prediction methods in knowledge label network mining in the Q&A community.

As a model of the combination of nostalgia and creative products, ethnic cultural heritage carry the function of shaping and spreading geo-culture. Its unique geo-cultural context, as a link, shows the historical inheritance of local culture. The deep deconstruction of its emotional identity helps to strengthen this identity and stimulate more cultural and creative designs with national and local characteristics. While culture prospers, the local cultural and creative economy is strengthened and cultural confidence and national self-confidence are further enhanced. Based on the New Year paintings of Wuqiang in Hebei, which have a strong folk vernacular and geo-cultural character in northern China, in the process of using the reconstructed pattern elements for clothing design, 156 questionnaires were collected through questionnaire interviews and fsQCA was used to analyze the emotional identity of products with high geo-cultural recognition. The study finds that while the injection of regional culture plays a role in the development of products, people's emotional identification with vernacular cultural and creative products actually depends on a combination of causal paths, with beauty and elegance more important than place and humanity as commonly believed to reflect geographic cultural identity. fsQCA was used to analyze the emotional identity of products with high geo-cultural recognition. And understand the emotional components of vernacular cultural products and how emotional factors influence people's identities.