Generalized Index of Regional Socio-economic Consumption Level of Water Resource

2019 ◽  
Vol 69 (2) ◽  
pp. 113-121
Author(s):  
Zhiwei Qi ◽  
Changlai Xiao ◽  
Bo Zhang ◽  
Xiujuan Liang

Abstract Traditional indicators of water resource utilization degree and efficiency cannot show the stressed relationship between the level of water resource utilization and economic development level in a region. Therefore, this manuscript proposes a generalized index of socio-economic consumption level of water resources. The definition of the index is the ratio of water consumption change for GDP growth per unit, and the potential of water resources exploitation and utilization. The theoretical curve of this index has a rise period, a high value period, and a decline period, which correspond to the take-off period, bottleneck period and maturity period of the regional economic development, respectively. This index can help us find the turning point of water resources restricting economy. The indexes of each year are calculated respectively from 1994 to 2010 of Beijing and Hebei province of China as example. The result shows that both two provinces are in the transitional period from high value period to the decline period. This example shows the universality of Generalized Index of Regional Socio-economic Consumption Level of Water Resources. Setting a target Generalized Index of Regional Socio-economic Consumption Level of Water Resources is consistent with the sustainable development level of regional economy which could promote both regional economic development and water resources protection.

Water ◽  
2021 ◽  
Vol 13 (24) ◽  
pp. 3534
Author(s):  
Bofan Wang ◽  
Yutong Tian ◽  
Xuanjin Li ◽  
Chunhui Li

In addition to the social economy and the rapid development of industry and agriculture, water demand is increasing and poses challenges in the over-exploitation of water resources. This research establishes a model to assess the sustainable exploitation of water resources based on system dynamics theory and STELLA software, which solves the imbalanced allocation of industrial water, agricultural water and domestic water. The model is composed of two parts: the water quantity system (including economy, population, water availability and water demand) and the water quality system (composed of the aquatic environment), which is suitable for Chengde City with a water resource shortage. The proposed model is established by data of Chengde City from 2007 to 2016 and is verified by 2017 data. Furthermore, in order to compare the water quality and water utilization of Chengde City under different development scenarios up to 2025, the sensitivity analysis of each variable (e.g., population) is carried out in this model, and thereby the water resource utilization scenarios are acquired. Specifically, four scenarios are designed and denoted: Scenario 1: keeping the status quo unchanged, Scenario 2: slowing down economic development and devoting more energy to environmental protection, Scenario 3: only focusing more on economic development and Scenario 4: aiming at steady and rapid economic growth and an eco-friendly environment. The results shows that Scenarios 2 and 3 facilitate high-effective water resource utilization compared with the current development, Scenario 1. Scenario 4 fosters the balance of water resources supply–demand in the future and preserves the water quality. This study provides an inspiring method for realizing the sustainable utilization and optimizing allocation of water resources in Chengde City.


2013 ◽  
Vol 807-809 ◽  
pp. 1903-1908 ◽  
Author(s):  
Liang Tang ◽  
Hui Cheng ◽  
Ge Qu

How to estimate regional economic development level is important for solving regional inequality problems. Most of previous studies on regional economic development are based on the statistics collected typically in administrative units. This paper has analyzed the defects of traditional studies, and attempted to research regional economic development problems with 10-year DMSP/OLS nighttime light satellite imagery as a new data source. For exploring the relationship between DMSP/OLS nighttime light data and GDP, different types of curve fitting regression models have been tried, the Cubic model has shown the best performance with a coefficient of determination (R2) equal to 0.803. Based on this positive correlation, we have estimated provincial economic development level of China using DMSP/OLS nighttime light data. The research results have indicated that the DMSP/OLS nighttime light data can well reveal provincial economic development levels.


Author(s):  
X. B. Wang ◽  
Z. L. Wang

Abstract The paper uses the super-efficiency DEA (Data Envelopment Analysis) model to measure the water resources utilization efficiency of 30 provinces in China, and then uses the system GMM (Generalized Method of Moments) model to analyze the impact of environmental regulations on China's regional water resources utilization efficiency. Conclusions as follows: (1) The overall water utilization efficiency is low, and the regions are very unbalanced. The more efficient areas are concentrated in the east, and the less efficient areas are in the west; (2)There is a ‘U’-shaped relationship between the intensity of environmental regulation and water resource utilization efficiency, that is, weaker environmental regulation intensity is not conducive to the improvement of water resource utilization efficiency, but when the intensity of environmental regulation crosses the ‘inflection point’, it can promote the improvement of water resources utilization efficiency; (3) The level of economic development has a very significant positive effect on water resources utilization efficiency, and the coefficient of scientific and technological progress is positive, but the impact of scientific and technological input on water resources utilization efficiency is limited and not significant; industrial structure and water resource utilization efficiency shows a negative correlation; water use structure and water resources efficiency show a negative correlation.


2021 ◽  
Vol 292 ◽  
pp. 03002
Author(s):  
Li Guanghong ◽  
Hu Yuan

Taking Wuhu City of Anhui Province as an example, this paper constructs two evaluation index systems of tourism industry and regional economic development respectively, and studies the coupling coordination situation and influencing factors of Wuhu City from 2015 to 2019 by using the coupling coordination degree model. The research shows that the comprehensive development level of Wuhu tourism industry and regional economy system has been steadily improved year by year in the past five years. Coupling degree C showed an up-down trend, but was generally at a high level. The comprehensive development level T of the two systems is also in an increasing trend. By 2019, the coupling coordination degree of the tourism-industry system in Wuhu has been upgraded from good coordination to high quality coordination. In the future development process, Wuhu City should continue to promote GDP growth on the basis of the current good development situation, and realize the win-win situation between tourism and regional economic development.


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