Effects of Urbanization on Rural Drinking Water Quality in Beijing, China

Zhang, Lan; Gao, Shenghua; Wei, Binggan; Li, Yonghua; Li, Hairong; Wang, Li; Ye, Bixiong

doi:10.3390/su9040461

Cited by 20 publications

(13 citation statements)

References 37 publications

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“…The number of establishments of micro and small scale manufacturing industry and a group of workers ( ) shows negative and significant results on water quality at a significant level of 5%. The results of this study are in line with Ito (2005); Zhang et al (2017); Chen et al (2018); Li et al (2019); and Zhou et al (2019) that industrial companies have an impact on water quality degradation. Although growth in employment will increase and the number of small and mediumsized industrial companies, on the one hand, indicates economic progress, on the other hand, it harms the quality of clean water.…”

Section: Panel Data Analysis Resultssupporting

confidence: 88%

“…Settlements around watersheds must be kept at a distance of around 2,672 meters so that water quality is maintained for the sustainability of ecosystems and aquatic organisms that live in rivers. Zhang et al (2017), examining the effects of the urbanization process on water quality, shows that land use and changes in industrial structure, energy consumption, and changes in population structure during rural urbanization have an essential influence on the safety of rural drinking water. In rural Beijing, the level of rural drinking water qualifications has a significant positive relationship or limit with urbanization parameters, such as total electricity consumption, live electricity consumption, tertiary industry growth rates, and annual GDP growth rates.…”

Section: Literature Reviewmentioning

confidence: 99%

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Water quality in Indonesia: The role of socioeconomic indicators

Kustanto

2020

JEP

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Population growth and the construction of settlements and industrial estates continue to increase at an unprecedented rate that has created gains and losses on environmental quality. The trend of population growth shows a declining trend but is not directly proportional to the fluctuating water quality index over the past ten years. The study uses secondary data with the quantitative approach using the panel data Fixed Effect Model (FEM) with Generalized Least Squares (GLS) to examine socioeconomic indicators in 34 provinces on water quality in Indonesia. Through analysis in this study shows that explanatory variables of the number of population and population density have a negative and significant effect on water quality in Indonesia of 4.69 and 1.95—ceteris paribus. The control variables of the number of establishments of micro and small scale manufacturing industry, and a group of workers, GRDP per capita, and realization of foreign direct investment show negative and significant results on water quality in Indonesia. It indicates that environmental management in Indonesia experiences a higher pressure from the utilization of ecological resources compared to efforts to improve the environment itself. Whereas household control variables of households and improve sanitation, the volume of water distributed by water supply establishment and the squared of GRDP per capita show positive and significant results on water quality in Indonesia, which shows that this is evidence of the government's success in managing the environment better.

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Section: Panel Data Analysis Resultssupporting

confidence: 88%

Section: Literature Reviewmentioning

confidence: 99%

Water quality in Indonesia: The role of socioeconomic indicators

Kustanto

2020

JEP

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“…Social development and RDWS: The impact of social development on RDWS appears to be two-sided: Some indicators, such as urbanization, had a positive effect on RDWS, while others, PD and RNI, had a negative effect. On the one hand, urbanization appears to have the effect of improving urban and rural drinking water safety infrastructure, and there is some evidence for the positive association between urbanization and nearby rural drinking water quality [37]. On the other hand, with the development of real estate and housing construction, along with the development of secondary industries, RDWS face enormous pressure from population growth and industrial structure changes.…”

mentioning

confidence: 99%

The Impacts of Socioeconomic Development on Rural Drinking Water Safety in China: A Provincial-Level Comparative Analysis

Cohen

et al. 2018

Sustainability

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In China, achieving rural drinking water safety—meaning access to a safe, affordable, sufficient, and sustainable drinking water supply—remains a key challenge for government agencies and researchers. Using cross-sectional data at the provincial level, in this paper we examine the impacts of socioeconomic development on drinking water safety in rural China. Using a theoretical framework called Pressure-State-Response (PSR), existing data were organized into state and pressure indicators. Canonical Correlation Analysis was then used to analyze provincial-level relationships between the indicators. Significant drinking-water-safety-related differences were found across provinces. Our analyses suggest that, overall, China’s recent and rapid socioeconomic development yielded substantial benefits for China’s rural drinking water safety. However, this same development also negatively impacted rural drinking water safety via increased groundwater over-abstraction, reductions in water supply, and environmental contamination. The paper closes with a discussion of implications and options for improving drinking water policy, management, and regulation in rural China.

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“…Focusing on sustainable urbanization, scholars at home and abroad have undertaken much research. In the area of PU, research has mainly been focused on the driving factors of urbanization [14][15][16], the mode of development [17,18], the difference of spatial distribution [19,20], and the influence of rapid urbanization on the environment [21][22][23]. In the area of LU, it has mainly been focused on the study of the urban spatial expansion mechanism, including the driving factors of urban expansion [24][25][26], the type of expansion [27,28], measurements, and policy regulation [29][30][31], etc.…”

Section: Introductionmentioning

confidence: 99%

Exploring the Interactive Development between Population Urbanization and Land Urbanization: Evidence from Chongqing, China (1998–2016)

Lin

2018

Sustainability

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To promote regional sustainable urbanization strategies, this paper selected the population and land resources in the urbanization system, and used the time series-based econometric analysis method and the coordinated development degree model to empirically study the interactive relationship between population urbanization (PU) and land urbanization (LU) in Chongqing, China, from 1998 to 2016. The research results showed that: (1) The development of urbanization in Chongqing was relatively rapid, but the level of development was relatively insufficient. The phenomenon of population outflow during urban development was more serious, and the structure of land use irrational; (2) There was a long-term cointegration relationship between PU and LU; PU is the Granger cause of LU. A PU increase of 1% in the short-term will promote LU by 3.29%, and in the long-term will promote 2.28%; the contribution of population agglomeration to urbanization is more than 80%, while land expansion is only about 20%, and the urban development model, which relies on urban land expansion is not applicable; (3) LU was faster than PU, but the improvement of PU development's quality level was greater than that of LU. The development quality of both systems increased year by year, and gradually developed into a coordinated state. It is recommended that the government strengthen land planning, delineate urban growth boundaries, and increase the level of land intensive use; furthermore, through the reformation of the land finance and the household registration systems, a system for linking population, finance, and construction land should be established to promote the coordinated development of the two systems.

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Effects of Urbanization on Rural Drinking Water Quality in Beijing, China

Cited by 20 publications

References 37 publications

Water quality in Indonesia: The role of socioeconomic indicators

Water quality in Indonesia: The role of socioeconomic indicators

The Impacts of Socioeconomic Development on Rural Drinking Water Safety in China: A Provincial-Level Comparative Analysis

Exploring the Interactive Development between Population Urbanization and Land Urbanization: Evidence from Chongqing, China (1998–2016)

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