Temporal-spatial decomposition computing of regional water intensity for Yangtze River Economic Zone in China based on LMDI model

Yao, Longqin; Xu, Jingru; Zhang, Lina; Pang, Qinghua; Zhang, Chenjun

doi:10.1016/j.suscom.2018.11.008

Cited by 15 publications

(7 citation statements)

References 12 publications

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“…In the equation, D(WF,G) is the decoupling elasticity between the gross agricultural product value G and the water footprint WF in Gansu Province, ΔWF is the variation in the WF of the current period relative to the previous period WF t−1 , and ΔG is the variation in the current period compared with the total agricultural production value G t−1 in the previous period. Tapio model decoupling status is divided into decoupling, connection and negative decoupling three situations [ 22 ], the specific classification is shown in Table 1 .…”

Section: Methods and Modelmentioning

confidence: 99%

“…Zhao et al (2018) [ 21 ] decomposed the driving factors of agricultural carbon emissions into economic output of water resources, water-land resource ratio, population factor, per capita land use area and agricultural carbon emission intensity and discussed the relationship between water and land resource development and agricultural carbon emissions. Yao et al (2019) [ 22 ] applied the LMDI decomposition method to the analysis of water intensity, decomposing the spatial and temporal differences in water intensity into intensity effects and structural effects. Zhang et al (2018) [ 23 ] used the LMDI model to measure the contribution of each driving factor to agricultural water use, thereby quantitatively analyzing the main driving factors of agricultural water use at different stages in the Heihe river basin of China.…”

Section: Literature Reviewmentioning

confidence: 99%

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Research on the Decoupling of Water Resources Utilization and Agricultural Economic Development in Gansu Province from the Perspective of Water Footprint

Shi

Yuan

Pang

et al. 2020

IJERPH

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Objectively evaluating the decoupling status of water resources utilization and economic development is an important sign of judging the sustainability of regional economic development. From the perspective of water footprint (WF), this paper expands the scope of water resources accounting by assessing agricultural blue WF, green WF and gray WF. The Tapio decoupling index was used to explore the decoupling status of agricultural WF and economic development in Gansu Province from 2006 to 2015, and the logarithmic mean divisor index (LMDI) decomposition model was used to identify the main driving factors of agricultural WF changes and explore the degree of divergence between agricultural economic development and water resources utilization. The results showed that agricultural economic growth was a main factor for the increase of WF; the improvement of agricultural production technology had a restraining effect, and the population effect and structural effect had a lesser effect. During the research period, the relationship between agricultural WF and economic growth in Gansu Province changed from weak decoupling to strong decoupling, and the contributing factors to decoupling were in descending order: economic, technological, structural and population. Finally, this paper puts forward suggestions on optimizing planting structure, improving agricultural technology and economic development mode to promote the sustainable development of local agriculture.

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Section: Methods and Modelmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Research on the Decoupling of Water Resources Utilization and Agricultural Economic Development in Gansu Province from the Perspective of Water Footprint

Shi

Yuan

Pang

et al. 2020

IJERPH

Self Cite

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show abstract

“…A growing body of literature focuses on the agricultural water use efficiencies of different countries from the WF perspective [7][8][9][10][11][12]. The index decomposition method has been used to study the factors affecting the water consumption or water intensity of actual water bodies.…”

Section: Introductionmentioning

confidence: 99%

Spatial-Temporal Differences in Water Footprints of Grain Crops in Northwest China: LMDI Decomposition Analysis

Shi¹,

Wang²,

Zhang³

et al. 2019

Water

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Agriculture and crop production is the sector with the highest water demand, and because of water shortages and an unbalanced distribution of natural resources in China, improving the efficiency of agricultural water use is essential. In this study, we quantified the total water footprint (WF) of major crop products in Northwest China using the Penman–Monteith formula. The logarithmic mean divisor index (LMDI) was used to explain the four factors driving the spatial and temporal differences in the WFs of the major crops in five provinces and regions in Northwest China. The results showed that from 2006 to 2015, the total WF of the major crops was increasing overall. From a temporal perspective, the crop area and yield effects, which were the factors driving the overall increase in the WF, positively impacted the overall change in the WF of the major crops in Northwest China. The effects of the virtual water content (VWC) and crop structure were both volatile. The effect of the crop structure made a relatively small contribution, while the effect of the VWC played a significant role in changing the overall WF. From a spatial perspective, the changes in the VWC and crop structure negatively inhibited the increase of the WF, widening the difference between these provinces and regions and Shanxi. The increased yields in Xinjiang most clearly increased the WF, followed by those in Ningxia, Qinghai, and Gansu. In comparison with Shanxi, in all the provinces and regions except Xinjiang, the change in cultivated area was less effective in promoting the WF. Therefore, scientific planting plans should be developed for adapting to climate change, considering the differences in natural features among various provinces and regions. Water conservation and advanced agricultural technology should be promoted to enhance the sustainability of agricultural development.

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“…The attribution results for the water intensity effect indicate that its significant downward influence on IWDI over the study period was mainly attributed to Shandong (À9.13%), Jiangsu (À8.39%), Guangdong (À8.29%) and Zhejiang (À7.64%), 3 as shown in Table S3. This implies that provinces in South China have exerted more efforts in water saving by introducing advanced water-saving technologies and by improving the industrial structure (Yao et al, 2019). It is also found that the wastewater discharge coefficient effect S4.…”

Section: Regional Attribution Analysismentioning

confidence: 98%

Decomposition and attribution analysis for assessing the progress in decoupling industrial development from wastewater discharge in China

Xing

Wang

Feng

et al. 2020

Journal of Cleaner Production

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Temporal-spatial decomposition computing of regional water intensity for Yangtze River Economic Zone in China based on LMDI model

Cited by 15 publications

References 12 publications

Research on the Decoupling of Water Resources Utilization and Agricultural Economic Development in Gansu Province from the Perspective of Water Footprint

Research on the Decoupling of Water Resources Utilization and Agricultural Economic Development in Gansu Province from the Perspective of Water Footprint

Spatial-Temporal Differences in Water Footprints of Grain Crops in Northwest China: LMDI Decomposition Analysis

Decomposition and attribution analysis for assessing the progress in decoupling industrial development from wastewater discharge in China

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