scholarly journals Decoupling Analysis of Water Footprint and Economic Growth: A Case Study of Beijing–Tianjin–Hebei Region from 2004 to 2017

2019 ◽  
Vol 16 (23) ◽  
pp. 4873 ◽  
Author(s):  
Yang Kong ◽  
Weijun He ◽  
Liang Yuan ◽  
Juqin Shen ◽  
Min An ◽  
...  
Keyword(s):  
Economic Growth ◽  
Water Resources ◽  
Water Footprint ◽  
Economic Effect ◽  
Driving Factors ◽  
Utilization Efficiency ◽  
Clear Understanding ◽  
Coordinated Development ◽  
Water Utilization ◽  
Population Effect

The Beijing–Tianji–Hebei region (BTHR) is economically developed and densely populated, but its water resources are extremely scarce. A clear understanding of the decoupling relationship between water footprint and economic growth is conducive to facilitating and realizing the coordinated development of water resources and economic growth in this region. This study calculated the water footprint and other related indicators of BTHR from 2004 to 2017, and objectively evaluated the utilization of water resources in the region. Then, logarithmic mean divisia index (LMDI) method was applied to study the driving factors that resulted in the change of water footprint and their respective effects. Finally, Tapio decoupling model was used to research the decoupling relationships between water footprint and economic growth, and between the driving factors of water footprint and economic growth. There are three main results in this research. (1) The water utilization efficiency in BTHR continues to improve, and the water footprint shows a gradually increasing trend during the research period, among which the agricultural water footprint accounts for a relatively high proportion. (2) The change of water footprint can be attributed to efficiency effect, economic effect, and population effect. Furthermore, efficiency effect is the decisive factor of water footprint reduction and economic effect is the main factor of water footprint increase, while population effect plays a weak role in promoting the increase in water footprint. (3) The decoupling status between water footprint and economic growth show a weak decoupling in most years, while the status between water footprint intensity and economic growth always remains strong decoupling. Moreover, population size and economic growth always show an expansive coupling state. In sum, it is advisable for policy makers to improve water utilization efficiency, especially agricultural irrigation efficiency, to raise residents’ awareness of water conservation, and increase the import of water-intensive products, so as to alleviate water shortage and realize the coordinated development of water resources and economic growth in BTHR.

Data Mining Model in Regional Target Decomposition of Water Resources Utilization Efficiency

2014 ◽  
Vol 580-583 ◽  
pp. 2082-2087 ◽  
Author(s):  
Hua Wei Chen ◽  
Ji Wen Huang ◽  
Bing Li ◽  
Shi Dong Fu ◽  
Xin Zhang
Keyword(s):  
Data Mining ◽  
Water Resources ◽  
Shandong Province ◽  
Utilization Efficiency ◽  
Water Withdrawal ◽  
Industrial Water ◽  
Water Utilization ◽  
Clustering Model ◽  
Mining Model ◽  
Municipal Level

Data mining model is the most important technical basis of the control target decomposition for the most stringent water resources management of Shandong province. K-means clustering model is adopted to analysis the water withdrawal of industrial added value per ten thousand yuan in 2010. Based on the yearly industrial water consumption trend from 1995 to 2010 of 17 municipal-level cities in Shandong province, the ARIMA (p, d, q) model is established through a lot of fitting and optimization and then the regional industrial water demand and water utilization efficiency in 2015 were forecasted. According to the proposed principal and technical route of target decomposition, the industrial water utilization efficiency target in 2015 of the whole province and 17 municipal-level cities are defined respectively.

scholarly journals Monthly Allocation of Water Resources and Pollutant Loads in a Basin Based on the Water Footprint and Fallback Bargaining

2019 ◽  
Vol 11 (23) ◽  
pp. 6836 ◽  
Author(s):  
Yinglan Xue ◽  
Yan Chen ◽  
Dan Cui ◽  
Yuxi Xie ◽  
Weihua Zeng ◽  
...  
Keyword(s):  
Water Resources ◽  
Water Use ◽  
Water Footprint ◽  
Utilization Efficiency ◽  
Pareto Optimum ◽  
Allocation Model ◽  
Initial Allocation ◽  
Pollutant Loads ◽  
Fallback Bargaining ◽  
Pollutant Discharge

The refined allocation of water resources and pollutant loads in a basin according to seasonal changes is an important measure for sustainable management. This study proposes a monthly water resource and pollutant load allocation model that is based on the water footprint and fallback bargaining. First, the water utilization and pollutant discharge demand and allocable resources are accounted for by taking their water footprints as indicators. Subsequently, various initial allocation schemes are designed based on several typical bankruptcy rules. Finally, with the goal of resource sustainability, the initial schemes are optimized by applying the fallback bargaining approach. The Huangshui River basin, which is located in Qinghai, China, is a typical seasonal basin with water use conflicts and it is considered for verifying the proposed methodology. The results show that the monthly allocation framework can effectively balance the water use and pollutant discharge demand of regions upstream and downstream in different seasons, improve the overall resource utilization efficiency in the basin, and ensure that the allocation each month reaches the Pareto optimum.

scholarly journals Forecast-based analysis for regional water supply and demand relationship by hybrid Markov chain models: a case study of Urumqi, China

2016 ◽  
Vol 18 (5) ◽  
pp. 905-918 ◽  
Author(s):  
B. Wang ◽  
L. Liu ◽  
G. H. Huang ◽  
W. Li ◽  
Y. L. Xie
Keyword(s):  
Markov Chain ◽  
Water Resources ◽  
Markov Model ◽  
Water Supply ◽  
Supply And Demand ◽  
Clear Understanding ◽  
Chain Model ◽  
Water Utilization ◽  
Water Supply And Demand ◽  
Regional Water

A clear understanding of regional water supply and demand trend is crucial for proper water resources planning and management in water-deficient areas, especially for Northwest China. In this study, three hybrid stochastic models (Markov chain model, unbiased Grey-Markov model and Markov model based on quadratic programming) were developed separately for predicating the available water resources, water demand, and water utilization structure in Urumqi. The novelty of this study arises from the following aspects: (1) compared with other models, the developed models would provide ideal forecasting results with small samples and poor information; (2) this study synthetically took into account water supply and demand, water utilization structure trend; (3) the prediction results were expressed as interval values for reducing the forecasting risk when carrying out water resources system planning and operational decisions. Analysis of water supply and demand in Urumqi under different reuse ratios was also conducted based on the forecasting results. The results would help managers and policy-makers to have a clear understanding of regional water supply and demand trend as well as the water utilization structure in the future.

The Time-Series Study of Xiangjiang River Water Carrying Capacity Based on the Ecological Footprint of Water Resource — The ChangZhuTan Region, for Example

2012 ◽  
Vol 518-523 ◽  
pp. 4362-4370 ◽  
Author(s):  
Ying Zhang ◽  
Shan Shan Li
Keyword(s):  
Time Series ◽  
Water Resources ◽  
Water Resource ◽  
Ecological Footprint ◽  
Utilization Efficiency ◽  
Xiangjiang River ◽  
Water Utilization ◽  
Surplus Value ◽  
Series Study ◽  
Water Resources Utilization

This paper is based on "the method of ecological footprint of water resource" and through establishing "ecological footprint of water resource" model to analyze the water resources utilization of ChangZhuTan region, Xiangjiang River. Time-series is applied to researching the water resources utilization of ChangZhuTan region , Xiangjiang River from 2003 to 2009. Meanwhile, the indicators like ecological footprint of water resource and so on in the following 6 years are predicted. Ecological footprint of water resource per ten thousand yuan GDP is introduced to analyze the water utilization efficiency of ChangZhuTan Region, Xiangjiang River quantitively. The result shows that, from 2003 to 2009, the water resources of ChangZhuTan Region, Xiangjiang River is in the state of ecological Surplus, but the ecological surplus value decreases year by year, which means that the sustainable utilization of Xiangjiang River is getting worse. The prediction also shows that the ecological footprint of water resource per ten thousand yuan GDP will increase year by year in the next 6 years, which means that the water utilization will be less efficient.

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

2020 ◽  
Vol 17 (16) ◽  
pp. 5758 ◽  
Author(s):  
Changfeng Shi ◽  
Hang Yuan ◽  
Qinghua Pang ◽  
Yangyang Zhang
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Water Resources ◽  
Agricultural Economic ◽  
Water Footprint ◽  
Structural Effect ◽  
Gansu Province ◽  
Contributing Factors ◽  
Development Mode ◽  
Water Resources Utilization

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.

scholarly journals The gap of water supply—Demand and its driving factors: From water footprint view in Huaihe River Basin

PLoS ONE ◽  
2021 ◽  
Vol 16 (3) ◽  
pp. e0247604
Author(s):  
Min An ◽  
Lijuan Fan ◽  
Jin Huang ◽  
Wenjing Yang ◽  
Hailin Wu ◽  
...  
Keyword(s):  
Water Resources ◽  
Water Supply ◽  
River Basin ◽  
Optimal Allocation ◽  
Water Footprint ◽  
Supply And Demand ◽  
Jiangsu Province ◽  
Driving Factors ◽  
Huaihe River Basin ◽  
Huaihe River

Climate change, population growth, the development of industrialization and urbanization are increasing the demand for water resources, but the water pollution is reducing the limited water supply. In recent years, the gap between water supply and demand which shows water scarcity situation is becoming more serious. Clear knowing this gap and its main driving factors could help us to put forward water protection measures correctly. We take the data of Huaihe River Basin from 2001 to 2016 as an example and use ecological water footprint to describe the demand, with the water carrying capacity representing the supply. We analyze the water supply-demand situation of Huaihe River Basin and its five provinces from footprint view in time and space. Then we apply the Logarithmic Mean Divisia Index model to analyze the driving factors of the ecological water footprint. The results show that: (1) the supply and demand balance of Huaihe River Basin was only achieved in year 2003 and 2005. There is also a large difference between Jiangsu province and other provinces in Huaihe River basin, most years in Jiangsu province per capital ecological footprint of water is more than 1 hm2/person except the years of 2003, 2015, and 2016. But other provinces are all less than 1 hm2/person. (2) Through the decomposition of water demand drivers, we concluded that economic development is the most important factor, with an annual contribution of more than 60%. Our study provides countermeasures and suggestions for the management and optimal allocation of water resources in Huaihe River Basin, and also provides reference for the formulation of water-saving policies in the world.

scholarly journals Decomposition of Water Footprint of Food Consumption in Typical East Chinese Cities

2021 ◽  
Vol 13 (1) ◽  
pp. 409
Author(s):  
Ruogu Huang ◽  
Xiangyang Li ◽  
Yang Liu ◽  
Yaohao Tang ◽  
Jianyi Lin
Keyword(s):  
Food Consumption ◽  
Urban Areas ◽  
Water Footprint ◽  
Utilization Efficiency ◽  
Diet Shift ◽  
City Development ◽  
Intensity Effect ◽  
Consumption Level ◽  
Positive Effects ◽  
Per Capita

Water scarcity has put pressure on city development in China. With a particular focus on urban and rural effects, logarithmic mean Divisia index decomposition (LMDI) was used to analyze the water footprint per capita (WFP) of food consumption in five East China cities (Beijing, Tianjin, Shanghai, Qingdao, and Xiamen) from 2008 to 2018. Results show that the WFP of food consumption exhibited an upward tendency among all cities during the research period. Food consumption structure contributed the most to the WFP growth, mainly due to urban and rural residents’ diet shift toward a livestock-rich style. Except in Beijing, the food consumption level mainly inhibited the WFP growth due to the decrease in food consumption level per capita in urban areas. Urbanization had less influence on WFP growth for two megacities (Beijing and Shanghai) due to the strictly controlled urban population inflow policy and more positive effects for other cities. The water footprint intensity effect among cities was mainly due to uneven water-saving efficiency. Meanwhile, Beijing and Tianjin have achieved advancement in water utilization efficiency.

scholarly journals Unbalanced Development Characteristics and Driving Mechanisms of Regional Urban Spatial form: A Case Study of Jiangsu Province, China

2021 ◽  
Vol 13 (6) ◽  
pp. 3121
Author(s):  
Guoping Xiong ◽  
Xin Cao ◽  
Nicholas A. S. Hamm ◽  
Tao Lin ◽  
Guoqin Zhang ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
Regional Development ◽  
Driving Factors ◽  
Spatial Expansion ◽  
Spatial Form ◽  
Coordinated Development ◽  
Urbanization Level ◽  
Driving Mechanisms ◽  
Urbanization Development ◽  
Southern Jiangsu

Unbalanced regional development is widespread, and the imbalance of regional development in developing countries with rapid urbanization is increasingly apparent. This threatens the sustainable development of the region. Promoting the coordinated development of the region has become a hot spot of scientific research and a major practical need. Taking 99 counties of Jiangsu Province China, a typical coastal plain region, as the basic research unit, this paper explores the unbalanced development characteristics of the regional urban spatial form using three indicators: urban spatial expansion size, development intensity, and distribution aggregation degree. Then, their driving mechanisms were evaluated using spatial autocorrelation analysis, Pearson correlation analysis, linear regression, and geographically weighted regression. Our results found that the areas with larger urban spatial expansion size and development intensity were mainly concentrated in southern Jiangsu, where there was a positive spatial correlation between them. We found no agglomeration phenomenon in urban spatial distribution aggregation degree. From the perspective of driving factors: economics was the main driving factor of urban spatial expansion size; urbanization level and urbanization quality were the main driving factors of urban spatial development intensity. Natural landform and urbanization level are the main driving factors of urban spatial distribution aggregation degree. Finally, we discussed the optimization strategy of regional coordinated development. The quality of urbanization development and regional integration should be promoted in Southern Jiangsu. The level of urbanization development should be improved relying on rapid transportation to develop along the axis in central Jiangsu. The economic size should be increased, focusing on the expansion of the urban agglomeration in northern Jiangsu. This study will enrich the perspective of research on the characteristics and mechanisms of regional urban spatial imbalance, and helps to optimize and regulate the imbalance of regional urban development from multiple perspectives.

Study on Efficiency of Rainfall and Flood Water Resources Utilization in Coastal Area

2013 ◽  
Vol 409-410 ◽  
pp. 79-82 ◽  
Author(s):  
Ying Qin Chen ◽  
Xian Feng Huang
Keyword(s):  
Water Resources ◽  
Water Use Efficiency ◽  
Water Use ◽  
Environmental Water ◽  
Utilization Efficiency ◽  
Agricultural Water ◽  
Domestic Water ◽  
Flood Water ◽  
Use Efficiency ◽  
Water Resources Utilization

Due to the rich resources of urban rainwater and transit flood in coastal areas, rational utilization of rainfall and flood water resources can improve the sustainable utilization, to better serve the coastal development. In this paper, the available quantity of water rainfall and flood water resources in coastal are distributed to domestic water, industrial water, agricultural water and ecologic environmental water. Water price method is used to calculate domestic water efficiency. Energy synthesis is used to calculate the industrial and agricultural water-use efficiency. Ecologic environmental water-use efficiency-sharing coefficient method is used to calculate the ecologic environmental water-use efficiency. Finally, taking Lianyungang City, a Jiangsu coastal city as an example to analyze the rainfall and flood water resources utilization efficiency. The results provide reference to the research for Chinas plain area rainfall and flood water resources efficiency analysis.

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