Spatial decomposition analysis of water intensity in China

2020 ◽  
Vol 69 ◽  
pp. 100680 ◽  
Author(s):  
Chenjun Zhang ◽  
Yusi Wu ◽  
Yu Yu
Keyword(s):  
Decomposition Analysis ◽  
Spatial Decomposition ◽  
Water Intensity

Expenditure Inequality in Indonesia, 2008-2010: A Spatial Decomposition Analysis and the Role of Education

2014 ◽  
Vol 28 (4) ◽  
pp. 389-411 ◽  
Author(s):  
Mitsuhiro Hayashi ◽  
Mitsuhiko Kataoka ◽  
Takahiro Akita
Keyword(s):  
Decomposition Analysis ◽  
Spatial Decomposition

Spatial-Decomposition Analysis of Energetics of Ionic Hydration

2016 ◽  
Vol 120 (8) ◽  
pp. 1813-1821 ◽  
Author(s):  
George Mogami ◽  
Makoto Suzuki ◽  
Nobuyuki Matubayasi
Keyword(s):  
Decomposition Analysis ◽  
Spatial Decomposition ◽  
Ionic Hydration

scholarly journals Confronting South Africa’s water challenge: A decomposition analysis of water intensity

2016 ◽  
Vol 19 (5) ◽  
pp. 831-847 ◽  
Author(s):  
Marcel Kohler
Keyword(s):  
Water Resources ◽  
Water Conservation ◽  
Economic Activity ◽  
Decomposition Analysis ◽  
Value Added ◽  
Well Being ◽  
Freshwater Ecosystems ◽  
Economic Activities ◽  
Water Intensity ◽  
The Impact

Water is a vital natural resource, demanding careful management. It is essential for life and integral to virtually all economic activities, including energy and food production and the production of industrial outputs. The availability of clean water in sufficient quantities is not only a prerequisite for human health and well-being but the life-blood of freshwater ecosystems and the many services that these provide. Water resource intensity measures the intensity of water use in terms of volume of water per unit of value added. It is an internationally accepted environmental indicator of the pressure of economic activity on a country’s water resources and therefore a reliable indicator of sustainable economic development. The indicator is particularly useful in the allocation of water resources between sectors of the economy since in waterstressed countries like South Africa, there is competition for water among various users, which makes it necessary to allocate water resources to economic activities that are less intensive in their use of water. This study focuses on economy-wide changes in South Africa’s water intensity using both decomposition and empirical estimation techniques in an effort to identify and understand the impact of economic activity on changes in the use of the economy’s water resources. It is hoped that this study will help inform South Africa’s water conservation and resource management policies

Spatial-decomposition analysis of viscosity with application to Lennard-Jones fluid

2018 ◽  
Vol 148 (9) ◽  
pp. 094501 ◽  
Author(s):  
Kai-Min Tu ◽  
Kang Kim ◽  
Nobuyuki Matubayasi
Keyword(s):  
Decomposition Analysis ◽  
Spatial Decomposition ◽  
Lennard Jones

Spatial decomposition analysis of NO2 and PM2.5 air pollution in the United States

2020 ◽  
Vol 241 ◽  
pp. 117470 ◽  
Author(s):  
Yuzhou Wang ◽  
Matthew J. Bechle ◽  
Sun-Young Kim ◽  
Peter J. Adams ◽  
Spyros N. Pandis ◽  
...  
Keyword(s):  
United States ◽  
Air Pollution ◽  
Decomposition Analysis ◽  
The United States ◽  
Spatial Decomposition

Driving Forces of Water Intensity in China’s Industrial Sector: A Global Meta-Frontier Production–Theoretical Decomposition Analysis

2021 ◽  
pp. 2150010
Author(s):  
Tao Ding ◽  
Jiangyuan Li ◽  
Xing Shi ◽  
Huaqing Wu
Keyword(s):  
Driving Forces ◽  
National Level ◽  
Decomposition Analysis ◽  
Cost Effective ◽  
Industrial Sector ◽  
Sustainable Growth ◽  
Industrial Water ◽  
Water Usage ◽  
Decomposition Approach ◽  
Water Intensity

The shortage of water resources has prohibited the sustainable growth of China. Identifying the driving forces of water intensity is critical to initiating cost-effective policies and regulations to reduce water consumption across China. We develop a global meta-frontier production decomposition approach, which could simultaneously address the spatial and temporal heterogeneities, to decompose the water intensity of the industrial sector in China at various levels from 2011 to 2015. Results show that the industrial water intensity in all provinces except Shanxi has been declining over the sample period, with little potential for a further reduction. Second, at the national level, the potential water usage factor and the temporal catch-up effect of water usage technology are two significant contributors in reducing the industrial water intensity. Third, we find that some factors have mixed results at the regional and provincial levels, calling for customized policies in these aspects. Our approach provides a more precise decomposition and reveals more details in China’s variations of industrial water intensity, which has manifold implications for regional water management.

Decomposition analysis of water consumption-related chemical oxygen demand emission in Chinese industrial sectors

Water Policy ◽  
2014 ◽  
Vol 16 (5) ◽  
pp. 805-823 ◽  
Author(s):  
Mo Guo ◽  
Jin-nan Wang ◽  
Jun Bi
Keyword(s):  
Chemical Oxygen Demand ◽  
Water Consumption ◽  
Decomposition Analysis ◽  
Oxygen Demand ◽  
Water Shortage ◽  
Structural Effect ◽  
Driving Factors ◽  
Industrial Sectors ◽  
Water Intensity ◽  
Water Pollutant

Water shortage in China is caused by the uneven distribution of water resources, a situation that can worsen given overexploitation and pollution. Chemical oxygen demand (COD) emission is considered the most important water pollutant. Using the logarithmic mean Divisia index (LMDI) method, we analyse the main driving factors of the 2001–2011 changes in China's industrial water consumption-related COD emission. The main driving factors of COD emission are classified into five effects, namely, end-of-pipe treatment, COD emission intensity, water intensity, structural effect, and scale effect. In contrast to previous studies, the current work considers water consumption by using water intensity as an index. Results show that end-of-pipe treatment, with an effect of up to 35%, was the primary factor that influenced emission reduction during the studied period. Pollution reduction policies are key drivers of promoting advancements in technologies for reducing COD emission in industrial sectors, and technical efficiency in 2001–2011.

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