Study on Spatial and Temporal Differences of Water Resource Sustainable Development and Its Influencing Factors in the Yellow River Basin, China

Ding, Yi; Li, Xia; Wang, Di; Xu, Jianming; Yu, Yang

doi:10.3390/su151914316

Cited by 3 publications

(1 citation statement)

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“…This study provides a valuable analysis of the current situation while also fostering further research on how to improve water efficiency and achieve sustainable water resource management technologies and policies in these provinces, as well as in other provinces. Moreover, it is crucial to pay more attention to the potential trade-offs between economic growth and sustainable water use [ 60 ], especially in provinces like Shanxi that face greater constraints in reducing water intensity.…”

Section: Resultsmentioning

confidence: 99%

What drives water conservation in the supply chain of the Yellow River Basin? An empirical analysis based on SPD

Shi,

Fan,

Xiao

et al. 2024

PLoS ONE

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Industrial water saving is an objective requirement for the high-quality development of the Yellow River Basin, as water resource is the largest rigid constraint. In this study, water resources input-output model, structural decomposition analysis (SDA) and structural path analysis (SPA) were constructed to decompose the driving factors of total water use in typical water-deficient provinces (Ningxia, Shanxi, and Henan) in China’s Yellow River Basin, to calculate their water use at each production stage and identify their key water-saving pathways. The results were as follows: (i) Water intensity had the most obvious impact on total water saving, resulting in efficiency improvements of 81.39%, 9.21%, and 78.45% for each province, respectively. The next factor was the final demand structure, which suppressed total water-saving efforts by 24.23%, 11.52%, and 113.12% in the respective provinces. (ii) The key water-saving paths in the typical water-deficient provinces of the Yellow River Basin were primarily centered around Sector 1. (iii) Water intensity had a strong water-saving effect on the key paths in the three provinces, with contribution rates of 100.42%, 59.02%, and 42.34% for Ningxia, Henan, and Shanxi, respectively. Final demand also contributed to water-saving in the key paths of Shanxi and Henan, with contribution rates of 35.06% and 28.23%, respectively. However, it inhibited water-saving efforts in the key paths of Ningxia, reducing it by 8.64%. Policy measures should be tailored to local conditions.

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Section: Resultsmentioning

confidence: 99%