Cities are divided into different levels around the world, which is manifested as cities are managed according to the urban administrative level system in China, urban development boundary (UDB) has always been an spatial policy to limit the scope of urban sprawl. There is a lack of comparative studies on LUCC and influencing factors inside the UDBs of different level cities. Based on the methods of descriptive statistical analysis, transition matrix analysis, Pearson's correlation analysis, and OLS regression, this paper takes Hubei Province, China as an example to study the statistical regularities of LUCC and its influencing factors within the UDBs of different level cities from 2006 to 2020. The results showed that LUCC is different within the UDBs of different level cities, economic and social factors are related to major types of LUCC at the level of PGHP city, correlations between economic and social factors and major types of LUCC is small at the level of PGPL city, and the influence of environmental governance on LUCC is increasing at the level of PGPL city. differentiated control should be carried out according to the level of city in the process of formulating and implementing the policies of land use management.
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http://dx.doi.org/10.1016/j.heliyon.2022.e10408 | DOI Listing |
Sci Rep
January 2025
Department of Human Movement Science, Hunan Normal University, 36 Lushan Road, Changsha, Hunan, China.
Loneliness and low self-esteem are among the more prominent mental health problems among left-behind children, but most of the current research stays in cross-sectional surveys, with fewer studies proposing specific solutions. In addition, although the effective impact of dance interventions on loneliness and self-esteem has been demonstrated, the impact in the group of left-behind children remains under-explored. Therefore, this study validated the effectiveness of a dance intervention on loneliness and self-esteem in left-behind children through a 16-week randomised controlled trial.
View Article and Find Full Text PDFSci Rep
January 2025
School of Geography and Environment, Liaocheng University, Liaocheng, 252059, Shandong, China.
The complex topography of the mountain cities leads to uneven distribution of land resources. Currently, available studies mainly focuse on land use and landscape patterns (LU and LP) in plains or plateaus. Thus, it is necessary to carry out an analysis of the drivers of changes in LU and LP in mountain cities.
View Article and Find Full Text PDFJ Environ Manage
January 2025
Department of Finance, Feng Chia University, Taichung, Taiwan. Electronic address:
The investigation of the unintended impact of pairing assistance policies on carbon emissions in administrative boundary regions is critical for achieving the "dual carbon" goals. This paper utilizes a sample of cities from the Pearl River Delta and the eastern and western regions of Guangdong, China, spanning from 2006 to 2020. A quasi-natural experiment based on the co-construction of industrial parks is employed to examine its impact on carbon emissions in boundary regions.
View Article and Find Full Text PDFJ Environ Manage
January 2025
School of Geographical Science, Nanjing Normal University, Nanjing, 210023, China.
Urban agglomerations are central to global economic growth and the shift towards green development, particularly in developing countries. This study examines regional comparisons and variations in green development mechanisms within urban agglomerations to better understand their spatiotemporal patterns. An input-output indicator system was developed, accounting for social benefits and carbon emissions.
View Article and Find Full Text PDFSchizophr Res
January 2025
Department of Occupational and Environmental Health, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China; Key Laboratory of Environment and Genes Related to Diseases (Xi'an Jiaotong University), Ministry of Education, China; Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an, Shaanxi, China; Key Laboratory of Trace Elements and Endemic Diseases in Ministry of Health, Xi'an, Shaanxi, China. Electronic address:
Objective: To investigate the association between ambient coarse particulate matter (PM) pollution and risk of acute schizophrenia episodes.
Methods: A time-stratified case-crossover study with a two-stage analytical approach was conducted to investigate the association between ambient PM pollution and schizophrenia admissions (an indicator for acute schizophrenia episodes) across 259 Chinese cities of prefecture-level or above during 2013-2017. A conditional logistic regression model was constructed to estimate city-specific changes in hospital admissions for schizophrenia associated with per interquartile range (IQR) increase in ambient PM, and the overall associations were obtained by pooling the city-specific associations using the random-effects model.
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