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This chapter traces one student teacher's (Joan) experiences of learning to teach English as a second language in a cross-cultural context during a teaching practicum in Hong Kong. The school-based practicum is a core component of many initial teacher education programmes. During this induction period, usually an 8-week block, student teachers are placed in local schools to learn how to integrate theories into practice in real teaching situations. Specifically, I uncover how Joan grappled with the tensions and complexities of teaching young learners from a different cultural and linguistic background, in a small elementary school situated in the borderland between Hong Kong (an autonomous region of China) and Shenzhen (a province of Mainland China).

Critical incidents from Joan's practicum experiences were analysed to uncover how she dealt with the tensions and dilemmas in confronting difference and marginalising practices while learning to teach English as a second language (ESL) in the practicum school. Implications on how to develop initial teacher education programmes so that student teachers learning to teach across cultural contexts can be encouraged to explore, confront and ‘deal with the emotional terrain of understanding difference’ will be discussed (Boler & Zembylas, 2003, p. 123; Zembylas, 2010).

This study aims to examine the process of tourism gentrification from China tourists, a major source market, in two neighbourhoods in Hong Kong: one that has been long exposed to tourism and one that is just being discovered by tourists. Through a series of in-depth interviews with local residents and community leaders, complemented by non-participant observation, the paper tracks the commercial, social and cultural changes that have occurred or are occurring in these two places.

This study evaluates the process of place change through tourism gentrification in two neighbourhoods in Hong Kong that are at different stages of the process. An ontological approach is adopted using an interpretivist paradigm involving in-depth interviews and on-site observations, supplemented by secondary data. These data were complemented by non-participant observation.

Both the places have been transformed due to the influx of mainland Chinese tourists. Some impacts felt by both communities have much in common, such as congestion and shop dislocation, while others are more location specific. Even though the degree of tourism gentrification is different, locals from both locations tend to hold negative perceptions towards tourists, although of different strengths. All have also noted the traditional social cohesion is not as strong as before.

The paper argues that tourism gentrification exists on a continuum as neighbourhoods move seemingly inextricably from local-centric nodes to tourist-centric nodes. Apart from enlightening the theory of tourism gentrification, it provides insights to the local leaders on proper tourism development by balancing the social and economic benefits.

This study aims to provide insights into wine consumers in Hong Kong and Mainland China, and the diversity of their behavior, by investigating their motivations, consumption and purchasing behavior and segmenting the sample based on wine knowledge and frequency of consumption to identify three distinct clusters that are then profiled.

Data was collected through an online survey of wine consumers of ethnic Chinese origin residing in Mainland China and Hong Kong, using two methods of recruitment (a convenience sample from wine-related databases, a panel survey undertaken by an international market research firm). The final sample comprised 477 respondents, about equally divided among Mainland Chinese and Hong Kong wine consumers. Analysis of the data using the Statistical Package for Social Sciences for Windows (SPSS) 29 included a series of descriptive analyses, followed by a two-step cluster analysis using an Euclidean distance method.

Wine knowledge and frequency of wine consumption were relatively higher within the sample as a whole than previous studies, but three distinct consumer segments are evident. There is evidence of a democratization of wine consumption, and a greater focus on wine consumption for enjoyment in relaxed and informal settings. rather than consumption driven by health and status, occurring primarily in commercial or business settings. The dominance of red wine in this market is also declining, and intrinsic cues – specifically, prior experience of the wine – are becoming important in wine purchase decisions.

This study uses a broad sample of wine consumers to identify trends in wine consumption patterns and motivations, and purchase decision-making behavior, of Mainland Chinese and Hong Kong wine consumers. The identification of three clusters of wine consumers offers both points of comparison with previous segmentation research globally and within China, whilst also identifying scope for further research.

Higher education plays an essential role in achieving the United Nations sustainable development goals (SDGs). However, there are only scattered studies on monitoring how universities promote SDGs through their curriculum. The purpose of this study is to investigate the connection of existing common core courses in a university to SDG education. In particular, this study wanted to know how common core courses can be classified by machine-learning approach according to SDGs.

In this report, the authors used machine learning techniques to tag the 166 common core courses in a university with SDGs and then analyzed the results based on visualizations. The training data set comes from the OSDG public community data set which the community had verified. Meanwhile, key descriptions of common core courses had been used for the classification. The study used the multinomial logistic regression algorithm for the classification. Descriptive analysis at course-level, theme-level and curriculum-level had been included to illustrate the proposed approach’s functions.

The results indicate that the machine-learning classification approach can significantly accelerate the SDG classification of courses. However, currently, it cannot replace human classification due to the complexity of the problem and the lack of relevant training data.

The study can achieve a more accurate model training through adopting advanced machine learning algorithms (e.g. deep learning, multioutput multiclass machine learning algorithms); developing a more effective test data set by extracting more relevant information from syllabus and learning materials; expanding the training data set of SDGs that currently have insufficient records (e.g. SDG 12); and replacing the existing training data set from OSDG by authentic education-related documents (such as course syllabus) with SDG classifications. The performance of the algorithm should also be compared to other computer-based and human-based SDG classification approaches for cross-checking the results, with a systematic evaluation framework. Furthermore, the study can be analyzed by circulating results to students and understanding how they would interpret and use the results for choosing courses for studying. Furthermore, the study mainly focused on the classification of topics that are taught in courses but cannot measure the effectiveness of adopted pedagogies, assessment strategies and competency development strategies in courses. The study can also conduct analysis based on assessment tasks and rubrics of courses to see whether the assessment tasks can help students understand and take action on SDGs.

The proposed approach explores the possibility of using machine learning for SDG classifications in scale.

This study aims to explore vocational teachers' perceptions regarding workplace learning that align with students' training models and collaborative teaching involving specialised professionals within the context of industry-university collaboration.

Using a qualitative approach, the study conducted nine semi-structured interviews from three subject areas to better understand how vocational teachers’ work-based learning enhances their pedagogical practice in guiding students’ professional training. Thematic analysis was adopted to identify patterns that emerged from concepts and theories related to coding categories.

The authors identified three key components: vocational teachers’ workplace learning in connection with students’ training models, collaborative teaching with specialised professionals and teachers’ regular interactions with enterprises. The findings demonstrate that vocational teachers’ engagement in workplace learning pertaining to specific subjects provides a valuable avenue for enhancing curriculum design with collaboration with industry experts. This is key for supporting vocational students’ transitions into the workplace and ensuring their knowledge and skills are tailored to the industry-standard practice.

The data are limited to the review of interviews from three vocational subject areas as the representative sector in the study. However, this research implies effective knowledge transfer between workplace settings and vocational institutions, and vocational teachers need to integrate work-based vocational knowledge and skills in a relevant and applicable way across diverse classroom settings.

Fostering collaborative partnerships with local industries and professionals can be a primary way to facilitate authentic learning experiences that are linked to a specific vocational field and bridge the gap between diverse classroom learning and real-world work scenarios.

This study combines contemporary workplace learning theories with the conceptual understanding of vocational teachers’ involvement with industry-specific practice. Connecting teachers’ knowledge to the industry extends the input and collaboration from professionals and field experts to the diverse vocational classrooms.

This study aims to examine the role of Australian casinos in facilitating money laundering and Chinese capital flight.

The reports and transcripts of evidence from government inquiries into money laundering in Australian casinos are integrated with analyses of Asian transnational crime.

Money laundering in Australian casinos is linked to transnational crime and Chinese capital flight. A central finding is that junket operators play a key role in facilitating money laundering. The casinos are particularly exposed to criminal influences in the Chinese very important person gambling market, since they have used junket operators and underground banks, many of whom are closely linked to major Chinese criminal groups from Hong Kong and Macau.

Very little information is available on money laundering in Australian casinos and this research has relied on the government inquiries that have been conducted over the past two years on the subject.

The author’s focus on money laundering in Australian casinos in the context of Asia-Pacific transnational crime is important for Federal and state government regulators grappling with the rapidly changing money laundering issues. The government inquiries recognised that the money laundering was related to transnational crime, but did not have the time and resources to explore the topic. The paper provides state government casino regulators and financial crime regulators with a broader international perspective to anticipate future money laundering and crime pressures facing Australia’s casinos.

Money laundering in Australian casinos has had devastating social implications on the community. My research helps to focus attention on the problems of transnational crime and money laundering.

Little research has examined the linkages between casinos and transnational crime. This study has found that Australian casinos were used to launder the proceeds of illegal drug trafficking and to facilitate Chinese capital flight. While casinos have been forced by damming government inquiries to tighten anti-money laundering controls, it is likely that there will be pressure to relax these controls in the future because of competitive pressure from other casinos in the Asia-Pacific region.

This paper aims to provide a comprehensive bibliometric study of housing prices according to the articles collected by the Web of Science (WOS).

This paper studies 4,125 research papers on housing prices in the core collection database of WOS. Using VOSviewer, this paper makes a bibliometric and visual analysis of the housing prices research from 1960 to 2020 and probes into the housing prices research from five aspects: time, international cooperation, institutions author cooperation and research focuses.

Keywords such as influencing factors of housing prices, analysis of supply and demand, policy and housing prices and regional cities appear frequently, which indicates the main direction of housing price research literature. Recent common keywords include regression analysis and house price forecast. Countries, like the USA started early in the study of housing prices, and the means and methods in the field of housing price research are mature, leading the forefront of housing price research. Compared with the USA and other Western developed countries, the housing price research in developing countries needs to use innovative research methods and put more effort on sustainability. Research shows that housing price is closely related to economy, and keyword cluster analysis shows that gross domestic product, interest rate, currency and other keywords related to economy are of high-frequency.

This paper only uses articles from one database (WOS), which does not represent all research papers published worldwide. Some studies have been published for a long time, and the reference value to the research focuses and future research might be limited. There are many kinds of journals included in the study with different publishing frequencies, time ranges and numbers of papers. These may have some influence on the research results.

The main theoretical contribution of this paper is to supplement the current academic research on housing prices. This paper reveals the key points of housing prices research and possible research problems that need attention. We can know from the future research direction and practice which can offer insights for future innovative direction.

Networks linking tourist attractions or organizations are a major focus of tourism research. Despite extensive research on tourism networks, academic research on the spatial structure and formation of wine tourism networks is limited. This study aims to investigate the spatial structure and factors influencing the development of a network among Ningxia wineries, an emerging wine tourism destination in China.

This study uses social network analysis to uncover “what” the spatial structure of wine tourism networks looks like. Sixteen in-depth interviews were conducted among key stakeholders to explain the “why” of such structural characteristics.

The results show that in an emerging wine tourism destination, popular tourist attractions enjoy high centrality and hold key positions in the wine tourism network. Small wineries exhibit high closeness centrality, and only one winery serves as a network broker. According to the stakeholders, the importance of network actors will increase as their economic and political importance increase, while small wineries that lack differentiation in the network may perish.

Local governments can implement the suggested measures for improving network connections, and wineries are advised to find suitable positions to improve the experiences of tourists.

This study pioneers the identification of the distinct structure and factors influencing the network of an emerging wine tourism destination, thus enriching the understanding of the interplay and roles of different actors.

This study aims to examine why women transition from wage work to self-employed entrepreneurship, the seemingly insecure and unruly economic sector compared with the stable iron rice bowl and the fancy spring rice jobs.

Based on in-depth interviews in Zhejiang, the entrepreneurial hotbed in coastal China, this study examines the experiences of self-employed female entrepreneurs who used to work in the iron rice bowl and the spring rice jobs and explores their nonconventional career transition and its gendered implications.

This study finds that these women quit their previous jobs to escape from gendered suppression in wage work where their femininity was stereotyped, devalued or disciplined. By working for themselves, these women embrace a rubber rice bowl that allows them to improvise different forms of femininity that are better rewarded and recognized.

The study contributes to studies on gender and work by framing femininity as a fluid rather than a fixed set of qualities and fills the research gap by illustrating women’s agency in reacting to gender expectations in certain workplaces. The study develops a new concept of rubber rice bowl to describe how entrepreneurship, a seemingly women-unfriendly sphere, attracts women by allowing them to comply with, resist, or improvise normative gender expectations.

The current study investigated the impact of organisational trust on emotional well-being and performance of middle leaders during the coronavirus disease 2019 (COVID-19) pandemic.

A convenience sample of 265 middle leaders in kindergartens in China responded involving trust in schools (e.g. trust in principal and trust in colleagues), emotional well-being and job performance. Both confirmatory factor analysis and structural equation modelling (SEM) were used in the investigation.

Three hypotheses on the relationships between the three constructs were verified. Trust in schools significantly influenced emotional well-being and job performance of middle leaders which correlated with each other. The interactive effects of trust in principal and trust in colleagues were discussed for improving the well-being and job performance of middle leaders. Relationships between the two kinds of trust and pride were also identified in the research.

Further studies may put efforts towards improving these three outcomes synchronously.

Based on the evidence of the current study, future research may focus on how middle leaders act as a bridging role between different stakeholders such as principal and teachers, principal and parents, teachers and children, meanwhile how to boost the leaders' own well-being and performance in the early childhood education (ECE).

This study established the empirical linkages between school trusts, emotional well-being and job performance.