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

被引:0
|
作者
Shi, Yanhua [1 ,2 ]
Fan, Shanshan [1 ]
Xiao, Qianqian [1 ,2 ]
Li, Ziyu [1 ,2 ]
机构
[1] Hohai Univ, Sch Econ & Finance, Changzhou, Peoples R China
[2] Hohai Univ, Business Sch, Changzhou, Peoples R China
来源
PLOS ONE | 2024年 / 19卷 / 08期
关键词
VIRTUAL WATER; DECOMPOSITION ANALYSIS; ENERGY; CHINA; INPUT; FOOTPRINT; NEXUS; RESOURCES; PROVINCE; POLICY;
D O I
10.1371/journal.pone.0306519
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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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页数:24
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