Introduction: The global trend toward consuming green food is on the rise. College students, as the future consumer base, have sparked significant interest in their inclination toward consuming environmentally-friendly foods. This paper integrates the Theory of Planned Behavior with the Norm Activation Theory to investigate the factors influencing college students' propensity to choose green foods, establishing a comprehensive model.Methods: This study utilized online and paper questionnaires for data collection, distributing them among college students and receiving 350 valid responses. In the data analysis phase, SPSS was employed for statistical data analysis, including descriptive statistics and regression analysis, while AMOS was used for structural equation modeling.Results and discussion: The data analysis results indicate that subjective norms, behavioral attitudes, and individual norms have a significant positive influence on college students' inclination to purchase green food. Purchase intention is indirectly influenced by personal norms and behavioral attitudes through perceptions of consequences. Responsibility attribution indirectly impacts purchase intention of green food through personal norms. Personal norms are indirectly influenced by responsibility attribution through perceptions of consequences.

Recent research has primarily focused on the genealogical relationship between ancestral temple painting and its spatial carriers, highlighting a shift in perspective from artistry to symbolism to kinship. While some scholars have noted the influence of ritual culture on architectural painting, few have explored its kinship relationship with architectural carriers. By incorporating relational sociology theory, this study chronologically reviews events influencing the formation of ancestral temple ritual culture, constructs a developmental model, and conducts case studies on the ethicality of architectural painting art, thus establishing a relational sociology analysis framework. Findings: (1) Ancestral temple architectural painting exhibits the ethicality and educational value inherent in Confucian concepts; (2) Themes such as immortal life, literati and scholars, and common folk simplicity highlight the spiritual and material kinship of ancestral temple painting. The vocabulary used in titles such as "He (rapprochement-和)", "He (reunification-合)", "wealth (财)", "happiness (乐)", "blessing (福)", and "longevity (寿)" reveals a positive transmission of Confucian values; (3) The five main artistic expressions of ancestral temple painting are metaphor through objects (借物喻意), the personification of events (以人喻事), using the past to illuminate the present (借古喻今), expressing aspirations through objects (托物喻志), and pun-based symbolism (谐音寓意); (4) The decorative elements of ancestral temples correspond to the forms of their painting art, with the former extending the space of the tomb sacrificial system and the latter representing artistic inheritance. The development of ancestral temple architecture has formed dual developmental contexts centered on ritual culture and supplemented by academic dissemination, fluctuating with the status of Confucianism. The relational sociology model shows that the political aspects of ancestral temples form a sub-lineage of their ritual culture, closely linked to reforms in the educational system and transformations in building functions, further influencing architectural form and decorative art.

The global demographic shift towards an aging population presents significant challenges to elderly care cervices, which encompass the range of services designed to meet the health and social needs of older adults. Particularly in China, the aging society's diverse needs are often met with service inadequacies and inefficient resource allocation within the elderly care cervices framework. This study aims to investigate the transformative potential of digital technology, which includes innovations such as e-commerce, cloud computing, and artificial intelligence, on elderly care cervices in China. The objective is to assess the impact of digital technology on service quality, resource allocation, and operational efficiency within the elderly care cervices domain. Employing Stata software, the study conducts an analysis of panel data from 30 Chinese provinces over the period from 2014 to 2021, examining the integration and application of digital technology within elderly care cervices to identify trends and correlations. The findings reveal that the integration of digital technology significantly enhances elderly care cervices, improving resource allocation and personalizing care, which in turn boosts the quality of life for the elderly. Specifically, a one-percentage point increase in the development and adoption of digital technology within elderly care cervices is associated with a 21.5 percentage point increase in care quality. This research underscores the pivotal role of digital technology in revolutionizing elderly care cervices. The findings offer a strategic guide for policymakers and stakeholders to effectively harness digital technology, addressing the challenges posed by an aging society and enhancing the efficiency and accessibility of elderly care cervices in China. The application of digital technology in elderly care cervices is set to become a cornerstone in the future of elderly care, ensuring that the needs of the aging population are met with innovative and compassionate solutions.

In the context of escalating environmental concerns and the imperative for sustainable consumption, this study meticulously examines the variations in food literacy and the propensity to purchase green food among Chinese consumers across three generational cohorts: baby boomers, generation X, and generation Y. Utilizing the theory of planned behavior (TPB) as a conceptual framework, and employing SPSS and structural equation modeling (SEM) for rigorous data analysis, the research elucidates the influence of generational attributes on green food consumption patterns. The study’s importance is marked by its unique contributions: it identifies intergenerational discrepancies in food literacy and furnishes empirical support for the enhancement of green food literacy across all consumer demographics. Furthermore, the research constructs an innovative model of food literacy that integrates generational traits, establishing a theoretical scaffold for advancing consumers’ green food literacy. This comprehensive model synthesizes the determinants of generational variations, food literacy, and the intention to consume green food. Findings from a demographically stratified sample of 720 participants, with equal representation from each cohort and gender (240 participants per cohort), highlight the distinct profiles in food literacy and green food purchasing intentions. These findings are instrumental for stakeholders in formulating nuanced strategies that promote sustainable consumption practices, tailored to the specific characteristics of each generational group within the Chinese market.

Drawing on the longitudinal dataset from 262 cities at the provincial tier and higher across China between 2011 and 2022, this research employs the production model to formulate the China Urban Industrial Land Mismatch Index, quantifying the extent of industrial land misalignment across China. It also analyzes its spatiotemporal evolution characteristics and regional differentiation characteristics, and explores the influence of China’s urban industrial land discordance on the advancement of urban ecological modernization. The key insights are outlined below. Firstly, across the entire spectrum of Chinese urban centers, cities from the eastern, central, and western zones, as well as those situated along the Yangtze River and the Yellow River basins, exhibit comparable patterns in industrial land misalignment. The extent of industrial land discordance has diminished, regional disparities have lessened to some degree, and there is an absence of polarization or the Matthew effect. Secondly, the variation in industrial land discordance within cities in the eastern region is the most pronounced, followed by the central region, with the western region showing the least disparity. The greatest contrast in the urban industrial land mismatch is found between the eastern and central regions. The primary driver of the discrepancy in industrial land misalignment across the eastern, central, and western regions is predominantly the ultra-variable density, followed by intra-regional disparities, with inter-regional differences contributing the least. Furthermore, the variation in the industrial land mismatch within cities in the Yangtze River Basin surpasses that within cities in the Yellow River Basin. The disparity in industrial land misalignment between the two follows a pattern of initially increasing, then decreasing, and subsequently rising again. The primary origin of this discrepancy lies within regional variations, followed by ultra-variable density, with inter-regional differences contributing the least. Thirdly, the regression analysis reveals that the discordance in industrial land use across Chinese cities exerts a substantial negative influence on urban ecological evolution. This effect operates through technological innovation and the employment levels in the secondary sector. Fourthly, industrial land discordance significantly hampers urban ecological advancement in the eastern region, shows a negative but statistically insignificant impact in the central region, and has a positive yet inconsequential effect in the western region. Moreover, the misalignment of industrial land exerts a notable suppressive influence on the ecological modernization of cities within the Yangtze River Basin, while it plays a significant role in fostering the ecological modernization of cities in the Yellow River Basin. Fifth, the mismatch of urban industrial land has produced significant negative spatial spillover effects on urban ecological modernization.

Purpose: With the intensifying aging population in China, the development of the older adults care industry faces significant challenges. This study aims to explore the empowering effect of digital technology on the development of the older adults care industry, reveal its underlying mechanisms, and analyze regional disparities across eastern, central, and western China. Methods: Utilizing panel data from 30 provincial-level regions in China from 2014 to 2021, this study employs regression analysis and mediation effect models. The analysis examines the impact of the digital technology on the older adults care industry value, investigating the mediating roles of capital allocation efficiency, new product development rate, and enterprise digitalization Level. Key Findings: The study confirms that digital technology exerts a significant direct promoting effect on the development of the older adults care industry. Concurrently, digital technology indirectly drives industry growth through enhanced capital allocation efficiency, stimulated new product development, and increased enterprise digitalization. Furthermore, this empowering effect exhibits significant regional variations across eastern, central, and western China, with the eastern region benefiting the most, while the central and western regions show relatively weaker effects. Conclusions and Implications: The findings demonstrate that digital technology is a crucial driver for the older adults care industry, exerting its influence through multiple channels. The observed regional disparities highlight the critical importance of tailored policies: the eastern region should leverage its existing digital advantages, whereas the central and western regions need to enhance digital infrastructure and policy support to narrow the gap and promote balanced development of the national older adults care industry.