Climate change is forcing countries to take strategic measures to reduce the negative impact on future generations. In this context, sustainable finance has played a key role in sustainable development since the establishment of environmental, social and governance principles. The underlying market has developed rapidly since its inception, with green bonds being the most prominent instrument. This article aims to study the impact of green bond issues on the abnormal stock returns of stocks listed on the main Euronext indices. The sample includes 58 issues carried out between 2014 and 2022 by 21 different firms listed on the AEX (Netherlands), BEL 20 (Belgium), CAC 40 (France), ISEQ 20 (Ireland), OBX (Norway) and PSI (Portugal) indices. The methodology follows the procedures of the event study using the market model. The results show significant positive stock price reaction on the issue date. After the abnormal losses just before the issues, suggesting the reserves of this consolidating market, abnormal gains persisted for over a week, providing evidence against the weak efficiency Euronext’s financial markets. The findings are useful for policy makers and entrepreneurs to promote innovative initiatives that encourage the financing and development of environmentally sustainable infrastructures.

In order to create the possibility of economic breakthrough development, remove economic institutional bottlenecks, release resources, and develop the economy quickly and sustainably in Vietnam in the coming time, it is impossible not to mention solutions to improve the quality, create breakthroughs in training and fostering talents. This is one of the important solutions in the context that the Party and State require the application and development of science and technology more and more extensively in all fields and all sectors in Vietnam. The article focuses on researching the the political basis, legal basis, and practical basis for training, fostering, attracting and employing talents in Vietnam. Meanwhile, statistics on undergraduate and postgraduate training in the period of 2016–2022, the training level of the workforce and the Global Talent Competitiveness Index show that Vietnam has not achieved many positive changes in training, fostering, attracting and employing talents as expected. The article is approached from many different aspects, including the perspective of leaders and managers at the head of state agencies, the perspective of businesses and the perspective of the university teaching staff and scientific research workers themselves. On that basis, the article points out the key contents that need addressing so as to build solutions to improve quality, create breakthroughs in training, fostering, attracting and employing talents in Vietnam in the context of international integration and science and technology development. The main contributions of the article focus on the identification of the concept of “talent”, the criteria for determining “talent” and the renewal of awareness of policies and laws on training, fostering, attracting, employing, introducing and recommending talents.

This paper studies the product language construction of the twisted porcelain cultural heritage. Through field research, we collected and sorted out samples of twisted porcelain products, explored the product language characteristics of twisted porcelain from multiple aspects such as production process, product shape, and product color, interpreted cultural value, captured potential connotations, extracted representative words from user comments, quantified the relationship between users and twisted porcelain culture, realized the construction and transmission of traditional cultural language information, conveyed the traditional cultural information of the product to users, and promoted the sustainable dissemination and development of this cultural heritage. The research results show that after mining and extraction at the level of twisted porcelain characteristics, the core language constructs the cultural expression of twisted porcelain products, which is more in line with the needs of the market and users, and has the potential to be developed and disseminated using the language generation of cultural heritage products.

The allocation of funds in the local budget is a matter of concern for the governments and economic scholars. The study examines the influence of local budget expenditures on the GRDP per capita of 63 provinces and municipalities in Vietnam from 2018 to 2022. Regression analysis of panel data reveals that capital expenditure has a positive correlation with local GRDP per capita, whereas current expenditure has a negative correlation with GRDP per capita. Furthermore, the analysis indicates that the percentage of individuals aged 15 and above who are employed and the percentage of urban citizens have an equivalent influence as the GRDP per capita. Conversely, the average age and local Gini coefficient have contrasting effects on GRDP per capita. The author suggests several policy alternatives to assist localities in boosting their GRDP per capita based on the findings of the study model.

More and more urban studies researchers and students are using images. This choice often stems from the need to illustrate, analyse and understand territories and urban phenomena. This contribution seeks to demonstrate, on the basis of examples drawn from scientific productions in Greater Lomé, how the photographic approach makes it possible to apprehend the urban phenomenon. Three forms of image use can be identified in the documents consulted. On the one hand, images are a source of data to support information received through observation. On the other hand, photography is a technique for collecting metadata which, when triangulated with several sources, enables a query to be answered. Finally, the diachronic and chronological analysis of images of a social reality enables us to detect the visible and the invisible in order to take a critical look at the social world and the dynamics of social relationships.

This paper aims to contribute with a literature review on the use of AI for cleaner production throughout industries in the consideration of AI’s advantage within the environment, economy, and society. The survey report based on the analysis of research papers from the recent literature from leading database sources such as Scopus, the Web of Science, IEEE Xplore, Science Direct, Springer Link, and Google Scholar identifies the strategic strengths of AI in optimizing the resources, minimizing the carbon footprint and eradicating wastage with the help of machined learning, neural networks and predictive analytics. AI integration presents vast aspects of environmental gains, including such enhancements as a marked reduction concerning the energy and materials consumed along with enhanced ways of handling the resulting waste. On the economic aspect, AI enhances the processes that lead to better efficiency and lower costs in the market on the other hand, on the social aspect, the application of any AI influences how people are utilized as workers/clients in the community. The following are some of the limitations towards AI adoption as proposed by the review of related literature; The best things that come with AI are yet accompanied by some disadvantages; there are implementation costs, data privacy, as well as system integration that may be a major disadvantage. The review envisages that with the continuation of the AI development in the following years, the optic is going to be the accentuation on the enhancement of the process of feeding the data in real-time mode, IoT connections, and the implementation of the proper ethical approaches toward the AI launching for all segments of the society. The conclusions provide precise suggestions to the people working in the industry to adopt the AI advancements appropriately and at the same time, encourage the lawmakers to create favorable legal environments to enable the ethical uses of AI. This review therefore calls for more targeted partnerships between the academia, industry, and government to harness the full potential of AI for sustainable industrial practices worldwide.