This paper investigates the specific persuasion process of short videos to Gen Z consumers, with the framework of the AIDA model stages-- attention, interest, desire, and action. By conducting three focus groups, our research explores how short videos facilitate the four stages of the AIDA model. These findings reveal that while Douyin advertisements successfully capture the attention of the audience, they fail to sustain the interest stage because of the goal-filtering effect of Gen Z, which reduces further cognitive resource allocation once the content becomes irrelevant. The study points out that Douyin advertisements should balance entertainment with information relevance to promote the desire and action stages. Theoretical and managerial implications are discussed to pursue social media marketing strategies towards Gen Z consumers. The limitations reveal several weaknesses and future potential research pathways.
This paper takes the resettlement work of urban redevelopment and renewal projects such as urban villages as an opportunity to explore the trial implementation of a housing voucher system. Against the backdrop of urban village redevelopment, this paper first analyzes the current situation of urban village redevelopment in Beijing, focusing primarily on the shortcomings of the existing resettlement policies. Next, it examines how housing voucher rules affect the real estate market in representative cities, highlighting the pros and cons of the current system. The system's application in Beijing, taking into consideration the city's particular characteristics, is discussed, along with policy recommendations. This study improves mega-city housing voucher research and gives a novel urban village rehabilitation and relocation perspective. Beijing can use the research to improve urban village rehabilitation, relocation, residential property destocking, and mega-city concerns.
This study investigates the impact of economic growth on environmental pollution, focusing on the relationship and heterogeneous effects between economic development and environmental quality. Using panel data on economic development and environmental pollution across different countries, we examine the effect of economic growth (measured by GDP) on environmental pollution indicators (PM2.5 concentrations and CO2 emissions) through empirical analysis with control variables such as government health expenditure, manufacturing value added, and coal rents, employing Ordinary Least Squares (OLS) regression and panel models. The results reveal that: (1) For PM2.5, an Environmental Kuznets Curve (EKC) pattern exists—pollution initially rises with income but declines after reaching a turning point; (2) CO2 emissions show a monotonic positive correlation with GDP, indicating difficulty in decoupling global pollutants from economic activity; (3) During the COVID-19 pandemic, economic contraction led to a significant reduction in PM2.5 emissions; (4) OECD countries exhibit partial decoupling of growth and PM2.5, while non-OECD countries show a strong positive growth-pollution link. These findings highlight the need for targeted policies, including reducing fossil fuel reliance, expanding public health and environmental expenditure, and promoting structural transformation, to balance economic growth and environmental sustainability.
In the context of the platform economy, the labor process of food delivery riders is deeply embedded in algorithmic management, and their psychological bonds simultaneously involve three dimensions: the platform, trade unions and the occupation itself. Based on data collected from 208 food delivery riders through a two-wave time-lagged design, this study adopted latent profile analysis and identified four types of multifocal commitment profiles, namely the Platform Commitment-dominant Type, the Platform-Trade Union Dual-dominant Type, the Trade Union-Occupation Dual-dominant Type and the Full Commitment Type. These profiles reveal the complex structure of coexistence and differentiation in the psychological bonds of food delivery riders, demonstrate the diversity of commitment in digital labor at the micro level, and provide empirical evidence for understanding labor-capital relations under algorithmic management.
