scholarly journals Research on the Measurement and Influencing Factors of Implicit Water Resources in Import and Export Trade from the Perspective of Global Value Chains

Water ◽  
2021 ◽  
Vol 13 (11) ◽  
pp. 1498
Author(s):  
Min Huang ◽  
Chengying Xu ◽  
Fengting Wang ◽  
Lichun Xiong ◽  
Kai Zhou

In this study, China’s virtual water trade was measured on the basis of multi-region input/output tables, and its influencing factors of change were decomposed. The results revealed that virtual water export and import increased from 161.5 billion tons and 114.07 billion tons in 2007 to 193.31 billion tons and 157.1 billion tons in 2014, respectively. Eight economies accounted for more than 50% of China’s total virtual water export and import, whereby the total of the United States, Japan, and Europe reached 44% (export) and 31.3% (import). The export scale, export of intermediate products, export industry structure, domestic water consumption coefficient, and domestic intermediate input structure were the main factors of the change in virtual water export. The growth of export scale was the primary reason for the growth of virtual water export. A decline in the domestic water consumption coefficient was the primary reason for the restrained growth of virtual water export. The import scale, import of intermediate products, import industry structure, water consumption coefficient of foreign countries, and the correlation among domestic industries were the main factors affecting the change in virtual water import. The growth of import scale was the primary reason for the growth of virtual water import in most sectors. A decline in the water consumption coefficient abroad was the primary reason for the restrained growth of virtual water import.

Water ◽  
2019 ◽  
Vol 11 (12) ◽  
pp. 2620 ◽  
Author(s):  
Wenge Zhang ◽  
Xianzeng Du ◽  
Anqi Huang ◽  
Huijuan Yin

Proper water use requires its monitoring and evaluation. An indexes system of overall water use efficiency is constructed here that covers water consumption per 10,000 yuan GDP, the coefficient of effective utilization of irrigation water, the water consumption per 10,000 yuan of industrial value added, domestic water consumption per capita of residents, and the proportion of water function zone in key rivers and lakes complying with water-quality standards and is applied to 31 provinces in China. Efficiency is first evaluated by a projection pursuit cluster model. Multidimensional efficiency data are transformed into a low-dimensional subspace, and the accelerating genetic algorithm then optimizes the projection direction, which determines the overall efficiency index. The index reveals great variety in regional water use, with Tianjin, Beijing, Hebei, and Shandong showing highest efficiency. Shanxi, Liaoning, Shanghai, Zhejiang, Henan, Shanxi, and Gansu also use water with high efficiency. Medium efficiency occurs in Inner Mongolia, Jilin, Heilongjiang, Jiangsu, Hainan, Qinghai, Ningxia, and Low efficiency is found for Anhui, Fujian, Jiangxi, Hubei, Hunan, Guangdong, Guangxi, Chongqing, Sichuan, Guizhou, Yunnan, and Xinjiang. Tibet is the least efficient. The optimal projection direction is a* = (0.3533, 0.7014, 0.4538, 0.3315, 0.1217), and the degree of influence of agricultural irrigation efficiency, water consumption per industrial profit, water used per gross domestic product (GDP), domestic water consumption per capita of residents, and environmental water quality on the result has decreased in turn. This may aid decision making to improve overall water use efficiency across China.


Author(s):  
Mahdy Jarboo ◽  
Husam Al-Najar

Purpose – This paper aims to identify the priorities on water sector planning. The priorities are identified by comparing the climate change impact on water consumption and the impact of using domestic water illegally to irrigate the urban agricultural holdings in suburban areas. Design/methodology/approach – Metered water consumption in summer and winter in both urban and suburban areas was studied in Rafah city. A backward chronological linear model of climate change (precipitation and temperature) influence on water consumption was developed using software STATISTICA 10. The developed statistical relation was used to predict the impact of various climate change scenarios for domestic water consumption. Hence, four climate change scenarios were hypothesized – an increase in temperature by 1 and 20°C and a reduction in the rainfall by 10 and 20 per cent, respectively. Findings – The most influential climate change scenario was the increase of temperature by 20°C, which caused an increase of 1.4 per cent on the average domestic water consumption compared to the current value. The hypothesized reduction of 20 per cent in precipitation caused a negligible increase in water consumption by 0.1 per cent from the current value. Urban agriculture and current practice of using municipal water to irrigate cultivated urban holdings have a significant negative influence on domestic water consumption. The aforementioned practice led to a high percentage of unaccounted for water (UFW) of 33, 38 and 45 per cent for the years 2010, 2011 and 2012, respectively. Practical implications – The concerned decision-makers should consider the right track in prioritizing dilemmas for planning water sector in suburban areas. Originality/value – This research could be considered the first of its kind because impacts of urban agriculture and climate change on domestic water consumption have never been previously considered in the Gaza Strip.


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