This paper provides a concise historical analysis of the political economy of privatization in Algeria, Morocco, and Tunisia from the 1980s to 2007, a period that witnessed the emergence of privatization as a primary policy tool to reform the public sector. The paper examines the influence of political history, macroeconomic considerations, and International Development Agencies (IDAs) on the early privatization processes in these North African countries. Despite shared developmental trajectories, internal and external factors had a significant impact on the outcomes of economic liberalization. The paper aims to answer the following key questions: What were the underlying political-economic factors driving privatization, and how successful was it in achieving the promised economic growth? Through a focused analysis of each country’s contextual factors, privatization processes, and outcomes, the paper contributes valuable insights into the nuanced dynamics shaping privatization in developing countries.

In today’s highly competitive environment, enterprises strive for competitive advantages by actively responding to changes in the network environment through digital technology. This approach fosters continuous innovation and establishes new paradigms by creating new network structures and relationships. However, research on the relationship and transmission mechanisms between digital technology and innovation performance in dynamic environments is still in its early stages, which does not fully address the demands of current social practice. Therefore, exploring the impact mechanisms of digital technology applications on enterprise innovation performance is an important research area. Based on the dynamic capability theory, this paper utilized SPSS 26.0 and AMOS 24.0 software to conduct an empirical analysis of 490 valid samples from the network perspective, exploring the pathways through which digital technology capability influences enterprise innovation performance. The results indicate that (1) digital technology capability is positively correlated with enterprise innovation performance; (2) digital technology capability is positively correlated with network responsiveness; (3) network responsiveness is positively correlated with enterprise innovation performance; (4) network responsiveness plays a mediating role in the impact of digital technology capability on enterprise innovation performance; (5) environmental dynamism positively moderates the relationship between digital technology capability and enterprise innovation performance. This paper enhances the understanding of how digital technology capability influences enterprise innovation performance in dynamic environments, offering new insights for future research. The results suggest that enterprises should focus on enhancing their digital technology capabilities, optimizing network structures, and strengthening network relationships to drive digital innovation.

As China’s urbanisation continues, the building area is expanding, of which the occupancy of rural residential buildings is also very large. However, most rural buildings have poor thermal performance. This paper analyses the energy-saving potential of green facades for rural buildings in China by simulating typical buildings with different types of facades in rural China. The simulation results show that indirect green façades can achieve good energy savings. Buildings with four types of facades: red brick, rubble, hollow brick, and concrete achieve energy savings of 18.39%, 17.85%, 14.47%, and 11.52%, respectively, after retrofitting with green facades.

This study examines the impact of education quality and innovative activities on economic growth in Shanghai through international trade and fixed asset formation. The study examines how higher education quality and innovation activities drive regional economic growth, with a focus on the mediating effects of international trade and fixed asset formation in Shanghai. The study adopts a quantitative approach utilizing panel data from 31 provinces in China covering the period from 1999 to 2022. The study incorporates variables such as education quality, innovation capacity, and GDP per capita, as well as control variables like labor, capital, and infrastructure. The methodology involves multiple regression models and robustness tests to verify the relationships between and effects of education quality and innovation with regard to economic growth. This study analyzes the direct and indirect effects of university R&D expenditure and innovation on economic growth using a regression model, based on data from 2014 to 2022 in relation to Shanghai. The model introduces variables such as international trade, capital formation, and urbanization to analyze the relationship between higher education quality and economic growth.

With the progress of the times, the development of information technologies such as big data, artificial intelligence, and cloud computing is also in full swing. These new information technologies continue to impact China's existing traditional industries, enabling them to integrate and innovate, while also promoting China's entry into the digital economy era. For the accounting industry, this has also led to higher demands from society for accounting professionals, and most basic accounting personnel will face the dilemma of job changes as a result. This requires vocational colleges to consider more comprehensive training strategies when cultivating accounting professionals, so that accounting professionals can adapt to the new accounting functional requirements of contemporary society.