Spatio-temporal evolution and influencing factors of water resource carrying capacity in Shiyang River Basin: based on the geographical detector method

Yang, Liangjie; Yang, Xiaorong; Wei, Wei; Pan, Jingxi

doi:10.2166/ws.2020.057

Cited by 12 publications

(5 citation statements)

References 7 publications

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“…The ecoenvironmental quality index and the driving factors were spatially matched, and the dependent and independent variables at each discrete point were then extracted. The calculation formula is (Yang et al, 2020;Xiong et al, 2022):…”

Section: Geographic Detector Modelmentioning

confidence: 99%

Land-use function evolution and eco-environmental effects in the tarim river basin from the perspective of production–living–ecological space

Wang

Xia

et al. 2022

Front. Environ. Sci.

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Section: Geographic Detector Modelmentioning

confidence: 99%

Land-use function evolution and eco-environmental effects in the tarim river basin from the perspective of production–living–ecological space

Wang

Xia

et al. 2022

Front. Environ. Sci.

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“…Driving Factors of Regional Gap in Marine Green Aquaculture Efficiency in China As a cutting-edge statistical method to explore the spatial differentiation of economic phenomena and reveal their hidden driving factors, GeoDetector can deeply analyze the driving factors of the regional gap in the efficiency of marine green aquaculture in China. Geographical detectors have no assumptions and can effectively avoid the limitations of general statistical methods in dealing with causality [42][43][44]. Specifically, the geographical detector includes four types: factor detection, interactive detection, ecological detection, and risk detection.…”

Section: Dynamic Evolution Analysis Methods Of Marine Green Aquacultu...mentioning

confidence: 99%

Research on Efficiency of Marine Green Aquaculture in China: Regional Disparity, Driving Factors, and Dynamic Evolution

Wang,

Mao,

Zhu

et al. 2023

Fishes

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It is imperative to achieve the high-quality development of fisheries and green transformation of mariculture. Based on the data of marine aquaculture fisheries in China from 2006 to 2019, this research uses the Super-SBM (Slacks-Based Measure) model to measure the efficiency of marine green aquaculture in China and analyzes the regional gap, evolution trend, and driving factors of marine green aquaculture efficiency in nine coastal provinces in China. The results are as follows: (1) The Super-SBM measurement results showed that the efficiency of marine green aquaculture in China showed a fluctuating upward trend from 2006 to 2019. The results of nuclear density estimation and Dagum Gini coefficient show that there is an obvious regional gap in the efficiency of marine green aquaculture in China, and the regional gap is increasing with time. The Dagum Gini coefficient decomposition results show that inter-regional differences and supervariable density differences were the main sources of marine green aquaculture efficiency. The results of barycentric elliptic standard deviation show that the gravity center of marine green aquaculture efficiency in China shifted to the south from 2006 to 2019, indicating that the efficiency of marine green aquaculture in southern China has had a high degree of improvement. (2) The spatial Markov chain results show that spatial proximity plays a key role in the state transfer of marine green aquaculture efficiency. The higher the efficiency of marine green aquaculture in neighboring provinces, the greater the effect on improving the efficiency of marine green aquaculture in the province. The state transfer of marine green aquaculture efficiency usually occurs between similar horizontal states, and there is less “leapfrog” transfer. (3) The results of the geographic detector show that the number of professional mariculture practitioners is the core driving factor and plays a leading role in the regional gap in the efficiency of marine green aquaculture in China. The explanatory power of the interaction of the two factors on the regional gap of marine green aquaculture efficiency is more than 90%, which is much higher than the explanatory power of a single factor. The regional gap of marine green aquaculture efficiency is the result of multiple driving factors.

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“…Based on the principle of water resources carrying capacity index, six standard levels have been identified. They are water resources system, social system, economic system (Zhiming et al, 2018), ecological environment system and comprehensive coordination, respectively (Yang et al, 2020). And a total of 20 indicators from water resources system to comprehensive coordination have been established (Qiao, 2015), as is shown in Table 1.…”

Section: Methodsmentioning

confidence: 99%

Study on water resources carrying capacity in Zhuanglang River Basin

Zhou

Liu

et al. 2022

Environ Monit Assess

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With the rapid development of China’s social economy, the phenomenon of unbalanced regional economic development is increasingly obvious. The shortage of water resources in northwest China is an important constraint to local development. The study on the water resources carrying capacity of the Zhuanglang River Basin plays an important role in the development of local economy; thus, we evaluate the water resources situation of Zhuanglang River Basin by using hydrology-related calculation method, combining with field investigation, visiting relevant departments, and referring to relevant data. Meanwhile, the water resources carrying capacity of 3 counties and 12 townships in the Zhuanglang River Basin in the current year are studied and analyzed based on methods such as fuzzy comprehensive evaluation model and quantitative calculation. Results indicate that the carrying capacity of water resources in Zhuanglang river basin can mostly meet the needs of township, but it is necessary to further optimize the water resources carrying capacity of the Zhuanglang River Basin from the four systems of water resources, society, economy, and ecology in the future. Besides, the results of quantitative calculation show that the maximum economic scale that water resources can withstand in most areas of the Zhuanglang River Basin is the overall well-off level, that is, the per capita domestic water is 80L/(d· person), and the per capita GDP is 10000 yuan/person. But there is still a certain gap to achieve the level, when the people are well-off in an all-round way, the two indexes are correspondently raised to 120L/(d· person), and the per capita GDP is 30,000 yuan/person.

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Spatio-temporal evolution and influencing factors of water resource carrying capacity in Shiyang River Basin: based on the geographical detector method

Cited by 12 publications

References 7 publications

Land-use function evolution and eco-environmental effects in the tarim river basin from the perspective of production–living–ecological space

Land-use function evolution and eco-environmental effects in the tarim river basin from the perspective of production–living–ecological space

Research on Efficiency of Marine Green Aquaculture in China: Regional Disparity, Driving Factors, and Dynamic Evolution

Study on water resources carrying capacity in Zhuanglang River Basin

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