scholarly journals Study on Urbanization Level, Urban Primacy and Industrial Water Utilization Efficiency in the Yangtze River Economic Belt

2019 ◽  
Vol 11 (23) ◽  
pp. 6571 ◽  
Author(s):  
Xuhui Ding ◽  
Zhu Fu ◽  
Hongwen Jia
Keyword(s):  
Yangtze River ◽  
Industrial Structure ◽  
Utilization Efficiency ◽  
Industrial Water ◽  
The Yangtze River ◽  
Urbanization Level ◽  
Water Utilization ◽  
Urban Primacy ◽  
Central Regions ◽  
Level Of Economic Development

Considering the undesirable output, this paper adopted the data envelopment analysis (DEA) model with the slack variable and super efficiency improvement, to measure industrial water utilization efficiency in the Yangtze River Economic Belt. The paper also creatively introduces urbanization level and urban primacy into driver factors’ estimation by stochastic and fixed Tobit models, exploring how urbanization characteristics affected the water utilization in regional industrial production. The results showed that industrial water efficiency has maintained an upward trend during the whole period, while most central and western provinces have shown a U-shaped trend of decreasing first and then rising. However, the industrial water utilization efficiency of central regions is the lowest, and the eastern regions are the highest, catching up with western regions. Utilization efficiency shows an overall convergence during the research period from 2005 to 2017. Regarding the factors’ estimation, both population urbanization and land urbanization negatively affected industrial water utilization efficiency, particularly blind expansion and disorderly development. The urban primacy meant the unbalance of urbanization, which would lead to urban diseases and pollution transfer, while the effects of urban primacy depended on the urbanization level. However, the utilization efficiency of industrial water did not become better automatically along with urbanization development; therefore, the scale and speed of urbanization should be scientifically formulated. The effects of the level of economic development, the advanced industrial structure, and the level of foreign investment are significantly negative.

scholarly journals The Threshold Effect of Environmental Regulation, FDI Agglomeration, and Water Utilization Efficiency under “Double Control Actions”—An Empirical Test Based on Yangtze River Economic Belt

Water ◽  
2019 ◽  
Vol 11 (3) ◽  
pp. 452 ◽  
Author(s):  
Xuhui Ding ◽  
Ning Tang ◽  
Juhua He
Keyword(s):  
Environmental Regulation ◽  
Yangtze River ◽  
Threshold Model ◽  
Utilization Efficiency ◽  
The Yangtze River ◽  
Per Capita Gdp ◽  
Water Utilization ◽  
Positive Effects ◽  
Per Capita ◽  
The Impact

In this study, the SE-SBM model considering undesirable outputs was used to measure the water utilization efficiency of the Yangtze River Economic Belt from 2006 to 2016, and the panel threshold model was used to estimate the impact of environmental regulation and foreign direct investment (FDI) agglomeration on water utilization efficiency. The results show that the water utilization efficiency presents a “U”-shaped trend as a whole, declines incrementally along the eastern, central, and western regions of the economic belt, and that the water utilization efficiency of the economic belt first converges and then diverges. In the estimation of the double threshold panel model, when the per capita GDP is lower than 2.635 or greater than 12.058 thousand dollars, the environmental regulation shows a significant positive effect. Otherwise, the environmental regulation barely shows a significant negative effect. FDI has not had a great impact on water resources utilization efficiency, and neither the “pollution aura” nor “pollution shelter” are significant. When the per capita GDP is lower than 2.184 or greater than 12.058 thousand dollars, FDI can significantly improve the water utilization efficiency through environmental regulation. Besides, the positive effects of technological innovation and foreign trade dependence are significant, and so are the negative effects of industrialization. Differentiated environmental regulation policies should be formulated; industrial upgrade should be promoted; innovation of water-saving and emission reduction should be strengthened in the Yangtze River Economic Belt.

Spatiotemporal Differences in Relative Efficiency of Regional Industrial Water Utilization in Xinjiang

2013 ◽  
Vol 726-731 ◽  
pp. 3559-3563
Author(s):  
Wen Hui Lv ◽  
Zhi Gang Gao
Keyword(s):  
Relative Efficiency ◽  
Water Distribution ◽  
Industrial Structure ◽  
Industrial Water ◽  
Water Usage ◽  
Water Utilization ◽  
Productive Water ◽  
Use Efficiency ◽  
Using Data ◽  
Regional Product

DEA was used to estimate the relative efficiency of industrial water in Xinjiang. Using data from 2005 to 2010 for fifteen prefectures in Xinjiang, this research selected productive water usage, employed persons, land area and fixed asset investment as the inputs, and chose gross regional product as the output. The scale redundancy ratio and technical redundancy ratio were also calculated. On the basis, the water utilization relative efficiency was calculated for every prefecture and the spatial-temporal variation of regional industrial water distribution were discussed. The spatial analyses show that the relative efficiency of industrial water utilization is distinctly different among the fifteen prefectures. Agriculture-oriented areas have relatively low water use efficiency, mainly due to the large proportion of agricultural water and seriously wasted water. Every prefecture should adjust the industrial structure and strengthen the agricultural water's conservation according to local condition.

Decomposition analysis of water utilization in the Beijing-Tianjin-Hebei region between 2003 and 2016

2018 ◽  
Vol 19 (2) ◽  
pp. 626-634
Author(s):  
Hongrui Wang ◽  
Siyang Hong ◽  
Tao Cheng ◽  
Xiayue Wang
Keyword(s):  
Socioeconomic Development ◽  
Industrial Structure ◽  
Decomposition Analysis ◽  
Water Shortage ◽  
Structural Effect ◽  
Industrial Water ◽  
Total Water ◽  
Water Utilization ◽  
Internal Relations ◽  
Factor Decomposition

Abstract Water crisis is prominent in the Beijing-Tianjin-Hebei region, therefore, the internal relations between water utilization changes and socioeconomic development must be urgently analysed. Based on analyses of the spatiotemporal characteristics of total water utilization, the factors that influenced changes in industrial water utilization in the Beijing-Tianjin-Hebei region from 2003 to 2016 were studied using a factor decomposition model. The results show that the scaling effect (SCE) increased water utilization by 31.78 billion m3 over those 13 years and was the only driving effect that caused industrial water utilization to increase. The structural effect (STE) and technological effect (TEE) reduced industrial water utilization by 14.93 and 20.44 billion m3, respectively. The TEE was the main reason for the decrease in industrial water utilization in Beijing, accounting for a reduction of 96.5% in total industrial water utilization. The STE was stronger than TEE in Tianjin, with associated decreases of 94.65% and 90.1% in total industrial water utilization, respectively. In Hebei, the STE and TEE reduced total industrial water utilization by 60.23% and 85.46%, respectively. Adjusting the industrial structure and promoting water-saving technology are efficient methods of alleviating the water shortage in the study area.

scholarly journals Government R&D Subsidies, Environmental Regulations, and Their Effect on Green Innovation Efficiency of Manufacturing Industry: Evidence from the Yangtze River Economic Belt of China

2020 ◽  
Vol 17 (4) ◽  
pp. 1330 ◽  
Author(s):  
Ming Yi ◽  
Yiqian Wang ◽  
Modan Yan ◽  
Lina Fu ◽  
Yao Zhang
Keyword(s):  
Yangtze River ◽  
Manufacturing Industry ◽  
Industrial Structure ◽  
Environmental Regulations ◽  
Significance Test ◽  
Efficiency Improvement ◽  
The Yangtze River ◽  
Green Innovation ◽  
Negative Effects ◽  
Interaction Terms

The Yangtze River Economic Belt is the most important manufacturing economic belt in China. The level of manufacturing green innovation efficiency of the Yangtze River Economic Belt directly affects the overall competitiveness of China’s manufacturing industry. With panel data from 11 provinces and cities along the Yangtze River Economic Belt in China for the period of 2008 to 2017, this paper applies the slacks-based measure (SBM)-data envelopment analysis (DEA) model and panel Tobit model to conduct an empirical study of the effects of government research and development subsidies and environmental regulations on the green innovation efficiency of the manufacturing industry of the Yangtze River Economic Belt. The results show that, firstly, government R&D subsidies and environmental regulations are both conducive to improving the green innovation efficiency of the manufacturing industry of the Yangtze River Economic Belt; secondly, because of the fact that the interaction terms between government R&D subsidies and environmental regulations failed to pass the significance test, the positive moderating effects of R&D subsidies on environmental regulations and green innovation efficiency of the manufacturing industry are not obvious; thirdly, in terms of control variables, strengthening agglomeration is the only factor that is positively correlated with green innovation efficiency improvement of the manufacturing industry. Enterprise scale and industrial structure have negative effects on green innovation efficiency improvement, and the openness of economy has no correlation with green innovation efficiency.

scholarly journals Relevance Analysis of Sustainable Development of China’s Yangtze River Economic Belt Based on Spatial Structure

2019 ◽  
Vol 16 (17) ◽  
pp. 3076 ◽  
Author(s):  
Decai Tang ◽  
Zhijiang Li ◽  
Brandon J. Bethel
Keyword(s):  
Sustainable Development ◽  
Spatial Structure ◽  
Gini Coefficient ◽  
Yangtze River ◽  
Resource Scarcity ◽  
The Yangtze River ◽  
Regional Economic ◽  
The Sustainable Development ◽  
Urban Primacy ◽  
Linkage Strength

Scientifically justifiable spatial structure can not only promote the efficient use of regional resources, but can also effectively avoid “urban diseases”, such as traffic congestion, housing shortage, resource scarcity, and so on. It is the “regulator” and “booster” of regional development. Firstly, this paper measures the spatial structure of the Yangtze River Economic Belt from the four dimensions of scale distribution, central structure, spatial connection, and compactness: Gini coefficient of urban scale, urban primacy, regional economic linkage strength, and spatial compactness. Secondly, the optimized Super-Slack Based Measure-Undesirable model is used to evaluate the sustainable development status of the Yangtze River Economic Belt. Finally, a sustainable development correlation analysis model based on regional spatial structure is constructed. Based on the overall perspective of the Yangtze River Economic Belt and the individual perspective of 11 provinces and cities, the relationship between the spatial structure of the Yangtze River Economic Belt and sustainable development is analyzed. It is found that the impact of the four spatial structure indicators on the sustainable development level of the Yangtze River Economic Zone is relatively stable in five different periods. The ranking results are as follows: Gini coefficient of urban scale > urban primacy > regional economic linkage strength > spatial compactness.

How did the bacterial community respond to the level of urbanization along the Yangtze River?

2020 ◽  
Vol 22 (1) ◽  
pp. 161-172
Author(s):  
Yi Li ◽  
Luhuan Fan ◽  
Wenlong Zhang ◽  
Xiaoxiao Zhu ◽  
Mengting Lei ◽  
...  
Keyword(s):  
Bacterial Community ◽  
Yangtze River ◽  
The Yangtze River ◽  
Urbanization Level ◽  
Bacteria Communities

The response of bacteria communities to the urbanization level.

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 Decomposition and Decoupling Analysis of Industrial Solid Waste in the Yangtze River Economic Belt

2021 ◽  
Vol 275 ◽  
pp. 02054
Author(s):  
Ma Teli
Keyword(s):  
Solid Waste ◽  
Yangtze River ◽  
Industrial Structure ◽  
Waste Reduction ◽  
The Yangtze River ◽  
Environment Friendly ◽  
Intensity Effect ◽  
Industrial Solid Waste ◽  
Waste Production ◽  
Decoupling Analysis

In this paper, LMDI method is used to analyze the driving factors of industrial solid waste production in the Yangtze River Economic Belt from 2005 to 2018, and the decoupling state is analyzed by Tapio indicator. We found that:①Industrial pollution intensity effect and industrial structure effect inhibited industrial solid waste production, while regional output effect and population size effect played a role in increasing the pollution; ②in different periods, the decoupling states of industrial solid waste in the Yangtze River Economic Belt were weak decoupling, weak decoupling and expansive negative decoupling. The decoupling indicator showed a trend of first decreasing and then increasing. It is suggested to guide investment to environment-friendly industries and strengthen the research on solid waste reduction technology.

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