scholarly journals Identification of wetland damage degree and analysis of its driving forces in Wuhan Urban Agglomeration

2019 ◽  
Vol 34 (8) ◽  
pp. 1694
Author(s):  
Kai-feng PENG ◽  
Wei-guo JIANG ◽  
Yue DENG
Keyword(s):  
Driving Forces ◽  
Urban Agglomeration ◽  
Damage Degree ◽  
Wuhan Urban Agglomeration

scholarly journals The Spatio-Temporal Analysis of Urban-Rural Coordinated Development and Its Driving Forces in Yangtze River Delta

Land ◽  
2021 ◽  
Vol 10 (5) ◽  
pp. 495
Author(s):  
Daizhong Tang ◽  
Mengyuan Mao ◽  
Jiangang Shi ◽  
Wenwen Hua
Keyword(s):  
Influencing Factors ◽  
Yangtze River ◽  
Driving Forces ◽  
Yangtze River Delta ◽  
River Delta ◽  
Urban Agglomeration ◽  
System Level ◽  
Actual State ◽  
Coordinated Development ◽  
Urban Rural

This paper conducts an analytical study on the urban-rural coordinated development (URCD) in the Yangtze River Delta urban agglomeration (YRDUA), and uses data from 2000–2015 of 27 central cities to study the spatial and temporal evolution patterns of URCD and to discover the influencing factors and driving forces behind it through PCA, ESDA and spatial regression models. It reveals that URCD of the YRDUA shows an obvious club convergence phenomenon during the research duration. The regions with high-level URCD gather mainly in the central part of the urban agglomeration, while the remaining regions mostly have low-level URCD, reflecting the regional aggregation phenomenon of spatial divergence. At the same time, we split URCD into efficiency and equity: urban-rural efficient development (URED) also exhibits similar spatiotemporal evolution patterns, but the patterns of urban-rural balanced development (URBD) show some variability. Finally, by analyzing the driving forces in major years during 2000–2015, it can be concluded that: (i) In recent years, influencing factors such as government financial input and consumption no longer play the main driving role. (ii) Influencing factors such as industrialization degree, fixed asset investment and foreign investment even limit URCD in some years. The above results also show that the government should redesign at the system level to give full play to the contributing factors depending on the actual state of development in different regions and promote the coordinated development of urban and rural areas. The results of this study show that the idea of measuring URCD from two dimensions of efficiency and equity is practical and feasible, and the spatial econometric model can reveal the spatial distribution heterogeneity and time evolution characteristics of regional development, which can provide useful insights for urban-rural integration development of other countries and regions.

scholarly journals Effect of Urbanization on Ecosystem Service Values in the Beijing-Tianjin-Hebei Urban Agglomeration of China from 2000 to 2014

2020 ◽  
Vol 12 (24) ◽  
pp. 10233
Author(s):  
Shan Liu ◽  
Mingxia Yang ◽  
Yuling Mou ◽  
Yanrong Meng ◽  
Xiaolu Zhou ◽  
...  
Keyword(s):  
Ecosystem Services ◽  
Population Density ◽  
Water Conservation ◽  
Urban Areas ◽  
Driving Forces ◽  
Urban Agglomeration ◽  
Natural Ecosystem ◽  
Rapid Urbanization ◽  
Construction Land ◽  
The Sustainable Development

Rapid urbanization has led to the continuous deterioration of the surrounding natural ecosystem. It is important to identify the key urbanization factors that affect ecosystem services and analyze the potential effects of these factors on the ecosystem. We selected the Beijing, Tianjin, and Hebei (BTH) urban agglomeration to investigate these effects, and designed three indicators to map the urbanization level: Population density, gross domestic product (GDP) density, and the construction land proportion. Four indicators were chosen to quantify ecosystem services: Food production, carbon sequestration and oxygen production, water conservation, and soil conservation. To handle the nonlinear interactions, we used a random forest (RF) method to assess the effect of urbanization on ecosystem services in the BTH area from 2000 to 2014. Our study demonstrated that population density and economic growth were the internal driving forces affecting ecosystem services. We observed changing trends in the effect of urbanization: The effect of population density on ecosystem services increased, the effect of the proportion of construction land was consistent with population density, and the effect of GDP density on ecosystem services decreased. Our results suggest that controlling the population and GDP would significantly influence the sustainable development in large urban areas.

scholarly journals Evolution and driving forces of rural functions in urban agglomeration: A case study of the Chang-Zhu-Tan region

2019 ◽  
Vol 29 (8) ◽  
pp. 1381-1395 ◽  
Author(s):  
Xuelan Tan ◽  
Qiaoling Ouyang ◽  
Yue An ◽  
Shengyuan Mi ◽  
Lingxiao Jiang ◽  
...  
Keyword(s):  
Driving Forces ◽  
Urban Agglomeration

scholarly journals How Do Population Flows Promote Urban–Rural Integration? Addressing Migrants’ Farmland Arrangement and Social Integration in China’s Urban Agglomeration Regions

Land ◽  
2022 ◽  
Vol 11 (1) ◽  
pp. 86
Author(s):  
Yanan Li ◽  
Chan Xiong ◽  
Yan Song
Keyword(s):  
Social Integration ◽  
Rural Areas ◽  
Positive Impact ◽  
Central City ◽  
Urban Agglomeration ◽  
Resource Flows ◽  
Urban Rural ◽  
Wuhan Urban Agglomeration ◽  
Urban And Rural Areas ◽  
High Degree

China’s urban–rural relationships have been changed dramatically by the intensifying population flows, especially in urban agglomeration regions. This study contributes to the interpretation of urban–rural integration mechanisms in urban agglomeration by constructing a conceptual framework of migration-related resource flows. Taking the Wuhan urban agglomeration as an example, migrants’ farmland arrangement, migration pattern, and social integration have been investigated to uncover the spatial and temporal characteristics of the urban–rural interaction, based on the data from the China Migrants Dynamic Survey in 2012–2017. The findings indicate that the farmland circulation in the Wuhan urban agglomeration was generally low, but slightly higher than that of the national average. The central city, Wuhan, had a high degree of family migration and social integration, indicating stronger resource flows in developed areas. However, its farmland circulation level was lower than that of non-central cities. The unsynchronized interaction of resources in urban and rural areas should be taken seriously, especially in areas with a relatively developed urban economy. The advantages of the central city in absorbing and settling migrants confirmed the positive impact of the urban agglomeration on promoting urban–rural integration.

Evaluation of water security: an integrated approach applied in Wuhan urban agglomeration, China

2012 ◽  
Vol 66 (1) ◽  
pp. 79-87 ◽  
Author(s):  
Dongguo Shao ◽  
Fengshun Yang ◽  
Chun Xiao ◽  
Xuezhi Tan
Keyword(s):  
Flood Control ◽  
Evaluation Model ◽  
Water Environment ◽  
Rank Correlation ◽  
Water Security ◽  
Integrated Approach ◽  
Urban Agglomeration ◽  
State Of Water ◽  
Wuhan Urban Agglomeration ◽  
Good Agreement

To evaluate water security, the Water Resources Sustainability Evaluation Model has been developed. The model employs four criteria (economic development, flood control security, water supply security, and water environment security) and has 22 indicators, integrating them using their relative weights. The model is applied to evaluate the water security of Wuhan urban agglomeration, China. The values of the indicators are normalized using the exponential efficacy functions based on the law of diminishing marginal utility. The evaluation results show that, overall, the state of water security in Wuhan urban agglomeration is good, which is in good agreement with the true situation. The comparison between the results of the model and other three evaluation methods by the Spearman coefficient of rank correlation verifies the science and reliability of the developed model. Consequently, it is concluded that the model can be an effective tool for evaluating the states of water security and provide a basis on which to create policies for improving inadequacies in water security.

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