Research on Comprehensive Evaluation and Coordinated Development of Water Resources Carrying Capacity in Qingjiang River Basin, China

Wu, Yujie; Wang, Ran; Xin, Zhuo; Feng, Haoying

doi:10.3390/su131810091

Cited by 9 publications

(6 citation statements)

References 39 publications

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“…The evaluation was guided by Xi Jinping’s thought on ecological civilization and strictly followed the ecological priority principles and protection of arable land. Reference was also made to the “Guidelines for Evaluation of the Carrying Capacity of Resources and Environment and Suitability of Land Development (for Trial Implementation)” issued by the Ministry of Natural Resources of China in June 2019 and January 2020 and related research [ 36 , 37 , 38 ]. First, the importance of ecological protection was evaluated for the study area.…”

Section: Methods and Datamentioning

confidence: 99%

Assessment of the Carrying Capacity and Suitability of Spatial Resources and the Environment and Diagnosis of Obstacle Factors in the Yellow River Basin

Chen

Liu

et al. 2023

IJERPH

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The assessment of the carrying capacity and suitability of spatial resources and the environment can provide effective guidance for regional planning and make vital contributions to the high-quality advancement of society and the economy. Additionally, this scientific evaluation of the spatial carrying capacity and suitability of urban production–living–ecological space (PLES) has important scientific value as well as practical significance for territorial spatial planning. This paper takes the cities along the Yellow River Basin (YRB) as the research object; establishes the PLES resource and environment carrying capacity evaluation index system; uses the multi-indicator superposition method and entropy weight method to evaluate the ecological importance, production and life carrying capacity of 78 cities in the YRB from 2010 to 2020; obtains the final ecological importance, production and life suitability levels based on the carrying capacity combined with the location conditions; and uses exploratory spatial data analysis (ESDA), the barrier degree model and other methods to determine the cities’ spatial and temporal patterns and influencing factors. The findings indicate that: (1) Ecological importance is characterized by “high upstream and low downstream”; the suitability for production is higher mainly in the eastern coastal area; the suitability of life as a whole is increasing, and the higher grade is in some provincial capitals and surrounding cities. (2) The local Moran’s I all passed the test, and the relationship between PLES showed a significant positive spatial correlation. The clustering characteristics of ecological importance and production suitability are strong, while the clustering characteristics of suitability for living functions are relatively weak. (3) Biodiversity, significance of water conservation and significance of wind and grit control functions are the main barrier factors affecting the ecological importance of the YRB; industrial value-added output per unit of industrial land, number of industrial enterprises above the scale and GDP per capita are the dominant factors affecting the production suitability of the study area; total water-resource utilization per capita, total sewage treatment per capita and residential land area per capita are the main barrier factors of living suitability.

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Section: Methods and Datamentioning

confidence: 99%

Assessment of the Carrying Capacity and Suitability of Spatial Resources and the Environment and Diagnosis of Obstacle Factors in the Yellow River Basin

Chen

Liu

et al. 2023

IJERPH

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“…This suggests that PHC development in suburban areas represents a significant challenge and a persistent issue within Beijing's rapid development process, underscoring the urgent need for substantial improvements in these areas. detection factors [39,55] (Table 7). Hierarchical clustering of these factors was conducted using GeoDa software, followed by an analysis of the driving mechanisms of PHC's dual imbalance employing Geodetector.…”

Section: Time Trend Evaluation Of Phc Development and Ccdmentioning

confidence: 99%

Spatial-temporal Characteristics and Driving Factors of the Coupling Coordination between Primary Health Care and Socioeconomic Development: A Case Study of Beijing, China

Liu,

Ma,

et al. 2024

Preprint

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Background Primary Health Care (PHC) plays a central role in achieving universal health coverage and is a key focus of China's healthcare reforms. It is important to balance PHC development across different regions and ensure its harmonious growth with economic and social factors. This balance is essential for equitable health access and overall societal well-being. This study aims to examine the spatial imbalance in PHC development and its coordination with socioeconomic factors, trying to explore the driving factors behind the imbalance. Methods This study focuses on the 16 districts of Beijing from 2012 to 2021, constructing a social, economic, and PHC evaluation indicator system. First, this study used the entropy weight method and coupling coordination model to analyze the Coupling Coordination Degree (CCD) of PHC, economic, and social development. Then, Moran's I was used to test the spatial association characteristics of PHC development and the CCD. Lastly, the Geodetector was used to explore the driving factors behind the dual imbalance in PHC. Results Between 2012 and 2021, Beijing's PHC resources significantly increased. The evaluation values for PHC in the central city, near suburbs, and far suburbs were 0.46, 0.23, and 0.06, respectively, with a Moran’s I of 0.22 (P = 0.02), signifying a spatial imbalance in PHC development. The CCD of these regions were 0.72, 0.57, and 0.35, respectively, with a Moran’s I of 0.48 (P = 0.002), signifying the CCD imbalance. Factors such as population (q = 0.90), physician (q = 0.87), and government financial spending (q = 0.82) emerged as principal drivers of this dual imbalance. Conclusions Over the last decade, Beijing's PHC resources have significantly increased, but spatial imbalance persists. Several districts exhibit a lag in primary health care relative to socio-economic advancements, with pronounced systemic imbalances in the far suburbs. Factors driving this dual imbalance include geographical features, resident economic status, demographics, medical resources, and government regulation ability. Enhanced governmental investment and policy support for primary health care in the far suburbs are recommended.

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“…With the growth of population and the rapid development of economy, the demand for water is increasing, causing a series of negative phenomena including water shortage [2] and water pollution [3], which in turn restricts the sustainable development [4] of human society and economy. The total amount of water in China is abundant, but the per capita resource amount is only a quarter of the world's average level [5], and there is a serious regional imbalance in distribution [6]. The Chinese government attaches great importance to the sustainable utilization of water resources and has issued a series of policy documents [7,8] and strategic plans [9] to reduce water pollution, protect water bodies, and restore natural ecology.…”

Section: Introductionmentioning

confidence: 99%

Sustainability Assessment of Regional Water Resources in China Based on DPSIR Model

Zhang

2023

Sustainability

Self Cite

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Water resources are an important aspect of China’s ecological governance. Due to the uneven spatial distribution of water resources in China, it is necessary to analyze the differences in the sustainable development level of water resources in different regions. This article combines the national policies of “promoting the coordinated development of the three waters” and “integration of people, city, industry, and economy” to construct an evaluation index system for the sustainable development of water resources in China using the water resources carrying capacity (WRCC). The spatial and temporal differentiation characteristics of water resources sustainable development in 31 provinces of China are analyzed. The results show that (1) the level of sustainable development of China’s water resources has significantly increased, with the index increasing from 6.229 in 2005 to 9.792 in 2021. (2) The spatial pattern of China’s WRCC shows an increasing trend from west to east and from north to south, and the aggregation status is obvious and fluctuates during the entire study period. (3) Currently, the strength of the expenditure of research and development funds for industrial enterprises and the sewage treatment capacity continue to increase, and the interaction between different factors shows a two-factor enhancement or nonlinear enhancement. To further improve the level of sustainable development of water resources, each province needs to formulate development plans based on local conditions and promote the coordinated development of industrial restructuring, environmental governance, and water resources development.

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Research on Comprehensive Evaluation and Coordinated Development of Water Resources Carrying Capacity in Qingjiang River Basin, China

Cited by 9 publications

References 39 publications

Assessment of the Carrying Capacity and Suitability of Spatial Resources and the Environment and Diagnosis of Obstacle Factors in the Yellow River Basin

Assessment of the Carrying Capacity and Suitability of Spatial Resources and the Environment and Diagnosis of Obstacle Factors in the Yellow River Basin

Spatial-temporal Characteristics and Driving Factors of the Coupling Coordination between Primary Health Care and Socioeconomic Development: A Case Study of Beijing, China

Sustainability Assessment of Regional Water Resources in China Based on DPSIR Model

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