Strict policy control and real estate market downturn affects large-scale real estate enterprises performance. We surveyed large Chinese real estate enterprises and the internal factors that affect their competitiveness. Verified by the hierarchical regression and structural equation modelling approach, the results mainly show that profitability, capital ability, management and operation ability, human resource ability, brand name, and innovation ability play positive roles in the competitiveness of large real estate enterprises. Management and operation ability plays an intermediary role between human resources and the improvement of competitiveness. Real estate enterprises’ capital sources play an intermediary role between brand names and the improvement of competitiveness. Moreover, landbank area and quality and sales are three major factors that impact the competitiveness improvement of real estate enterprises, while the ability for marketing innovation and the payment collection of enterprises has a relatively small impact. All in all, this paper provides practical implications concerning factors that affect the competitiveness of large real estate enterprises. The findings are helpful to improve the sustainable development of real estate enterprises in the future. As research on factors that affect large-scale real estate enterprises is scarce, this study aims to fill this gap.

A positive and robust destination image endows a competitive advantage. As architecture appeals to tourists, it may be helpful to improve people’s perceptions of a place’s image. Social media cultivates the destination image. This study focused on the interrelationship of architectural heritage and destination image and aimed to investigate the potential of architectural heritage YouTube videos in communicating and cultivating the destination image of Beijing. It collected and analysed 2237 YouTube videos in French and 25,234 comments related to Beijing’s architectural heritage in tourism. The social networks analysis found that viewers lacked interaction. The sentiment analysis via artificial intelligence findings demonstrate that most video descriptions (94%) and viewers’ comments (91%) had a neutral or complimentary attitude on the buildings’ heritage in Beijing. The keyword in context (KWIC) results found that when people viewed Beijing’s architectural heritage tourism relevant videos and were fascinated by the content, they associated it with China rather than the city where the architectural heritage was located. This indicates a cultivation effect on the destination country image of China. The significance of this study is to provide suggestions to improve a country’s destination image with YouTube via architectural heritage. It also raises the importance and social awareness of architectural heritage conservation and provides insights for policymakers on destination country image building.

This study investigated the relationship between women’s gender roles and their leadership in the context of Chinese higher education. Based on a questionnaire survey of 438 female leaders at various levels in Chinese higher education institutions, the research results show that gender-related factors such as family-role orientation and gender self-confidence have a close correlation with leadership aspiration and leadership self-efficacy. The results show that women’s family-role orientation has a negative effect on women’s leadership aspirations and leadership self-efficacy, while women’s gender self-confidence does not have a positive effect on leadership aspirations and leadership self-efficacy as hypothesized. Both family-role orientation and gender self-confidence have a close correlation with leadership aspirations. Leadership aspiration significantly mediated the effects between family-role orientation and leadership self-efficacy. These findings revealed the characteristics and changes in the relationship between gender and leadership among women leaders in Chinese higher education.

With the continuous improvement of educational informatization, incorporating the performance evaluation of educational informatization into the overall framework of higher vocational education reform and innovation promotes the objective and practical direction of performance evaluation. This facilitates the transition of higher vocational education from scale-oriented development to intensive development and provides strategic support for method improvement and conceptual renewal in educational informatization. Based on this, we refer to the evaluation index system of information development level in colleges in Henan Province, Zhejiang Province and other regions. We use the entropy method to select performance evaluation indicators with a significant impact on higher vocational colleges. Combining the CCR and BCC models of the DEA method, the article evaluates the educational informatization performance of 82 higher vocational colleges in Henan Province. The informatization evaluation becomes more objective, improves the input-output ratio of informatization and provides directional guidance to avoid redundant construction. There are 46 DEA-effective decision-making units and 36 non-DEA-effective decision-making units among higher vocational colleges in Henan Province. The input-output ratio of the 36 non-DEA-effective higher vocational colleges has yet to reach an appropriate proportion, and further adjustments of input-output resources are needed based on projection values.

The development of mobile technology has facilitated the widespread adoption of digital currency worldwide. An important application of mobile technology is digital currency, which has gained global popularity due to its blockchain and peer-to-peer mobile payment mechanisms. The emergence of private digital currencies, such as Bitcoin, poses a challenge to the monetary policy of governments. To address this threat, many central banks are developing their own central bank digital currencies (CBDCs) with legal support. China’s CBDC, e-CNY (electronic China Yuan), is one of the most advanced examples of this innovation. However, the adoption and usage of e-CNY by residents is still limited and requires improvement. This paper aims to identify and analyze the factors that influence residents’ willingness to use e-CNY, based on a literature review and a logistic regression model. The results indicate that residents’ awareness, convenience, cost, promotional activities, and the involvement of relevant parties (merchants, commercial banks, payment institutions, and the People’s Bank of China (PBC)) significantly influence their willingness to use e-CNY. This paper presents implications and suggestions for promoting and implementing e-CNY in China.

As the most important foreign language in China, English poses great challenge for teachers to improve the performance of ESL (English as a second language) learners through in-class instruction. Blended, explicit, and implicit instruction are three widely used approaches in English class teaching, and it may be difficult to choose which one should be used in class to help the English language learners. With audio synthesis technology applied as an enhancement for teaching, this study aims to research the three effects on English pronunciation teaching in aspects of the performance and satisfaction of English language learners. 120 English learners in China were equally divided into three groups which were instructed by blended, explicit, and implicit instruction respectively. Based on the data collected by test and questionnaire in pre-test, in-test, and post-test, the results show that the blended instruction performs best in aspects of the improvement of performance and the class satisfaction. These findings indicate the great potential of blended instruction in English language teaching and more investment should be taken to promote its application to help the Chinese to better acquire this important language.