Efficient urban land use plays a crucial role in promoting regional development and ensuring economic growth. Analyzing the spatio–temporal pattern of urban land high-quality use (ULHU) and identifying its key influencing factors and pathways can contribute to enhancing land use efficiency and achieving high-quality development. This study established a comprehensive measurement indicator system for evaluating ULHU using the entropy method and investigated the spatio–temporal evolution pattern of ULHU in the Greater Pearl River Delta (PRD) urban agglomeration in the years 2005, 2010, 2015 and 2020. Furthermore, a multi-period fuzzy-set qualitative comparative analysis method was adopted to explore the concurrent driving mechanisms that impact ULHU from the configuration perspective. The findings reveal that the level of ULHU has exhibited a significant improvement, increasing from 0.1150 in 2005 to 0.2758 in 2020, with an annual growth rate of 8.739%. The spatial pattern in the PRD region exhibits an incremental distribution, characterized by higher values in the central region and lower values in the peripheral area, as this pattern reveals significant heterogeneity across the region. The configurations for ULHU in the PRD were identified, such as Population-industry-talent driven, Openness-fiscal-talent driven, Population-led, and Population-industry driven. Among these configurations, population density and industrial structure were identified as the core driving factors, while the role of talent resources is gradually diminishing. This study provides practical guidance for promoting the ULHU and optimizing national spatial planning.
Local governments in China have decision-making authority over urban land use, and their level of environmental attention influences the green use of urban land. However, the impact of local government environmental attention on urban land green use efficiency and its mechanisms remain unclear. This study utilizes panel data from 284 cities from 2003 to 2020 in China and employs fixed effects models and mediation analysis to investigate the pathways through which local government environmental attention affects urban land green use efficiency. The main results are as follows: (1) Through a series of significance tests, local government environmental attention has a significant positive influence on urban land green use efficiency in cities. (2) Further research suggests that both the quantity and quality of industrial structure upgrading act as intermediaries between local government environmental attention and urban land green use efficiency, while the rationalization of industrial structure plays a partial masking role rather than acting as an intermediary. (3) Furthermore, a regional heterogeneity analysis indicates that the impact of local government environmental attention on urban land green use efficiency is significant in the central region but not in the eastern and western regions. Based on these research findings, this study provides valuable policy insights aimed at contributing to green land use and sustainable development in Chinese cities.
This study aims to investigate the cognitive function of elders who live in rural areas of East China and studied the relationship between different subtypes of social support and cognitive function. Two hundred and twenty-two elders aged 60 years or more were randomly selected from 9 villages of Jiande County. The assessment package included: General Characteristics Questionnaire, PHQ-9 (9-item Patient Health Questionnaire), DSSI (Duke Social Support Index), and MMSE (Mini-mental State Examination). The analysis methods included descriptive statistics and logistic regression. The final sample included 218 participants, and 57 of them may have potential cognitive problems. Results showed that the education level, residential arrangement, and daily activities frequency may have positive relationships with cognitive function(p≤0.05). Age, the depressive symptoms presence, and overall scores of social support were negatively associated with cognitive function(p≤0.05). In the logistic regression, the best fit model indicated that elders reported more perceived social support were more likely to maintain good cognitive function. This study found the social support’s positive effect on buffering the decline of cognitive function in elders of rural East China, especially perceived social support. The positive connection between perceived social support and cognitive function indicates the importance of social support intervention approach in rural China. Further study will explore the protective effect of perceived social support in other areas, such as Midwest China, and the methods to prevent the abnormal cognitive decline in the regards of psychosocial factors for promoting healthy aging in rural China.
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