The Causal Relationship between Urbanization, Economic Growth and Water Use Change in Provincial China

Bao, Chao; He, Dekui

doi:10.3390/su71215803

Cited by 33 publications

(18 citation statements)

References 33 publications

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“…sustainable utilization of water resources are paid more and more attention to (Fitzhugh and Richter, 2004;Bao, 2014). Population urbanization level in China increased from 41.8% in 2004 to 53.7% in 2013, and the increasing rate every year was about 1.2% (Fig.…”

Section: Urbanizationmentioning

confidence: 99%

Wastewater reclamation and reuse in China: Opportunities and challenges

Lyu

Chen

Zhang

et al. 2016

Journal of Environmental Sciences

294

118

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The growing water stress both in terms of water scarcity and quality deterioration promotes the development of reclaimed water as a new water resource use. This paper reviewed wastewater reuse practices in China, and the opportunities and challenges of expanding reclaimed water use were analyzed. Rapid urbanization with the increasing of water demand and wastewater discharge provides an opportunity for wastewater reuse. The vast amount of wastewater discharge and low reclaimed water production mean that wastewater reuse still has a great potential in China. Many environmental and economic benefits and successful reclamation technologies also provide opportunities for wastewater reuse. In addition, the overall strategy in China is also encouraging for wastewater reuse. In the beginning stage of wastewater reclamation and reuse, there are many significant challenges to expand wastewater reuse in China including slow pace in adopting urban wastewater reuse programs, the establishment of integrated water resources management framework and guidelines for wastewater reuse programs, incoherent water quality requirements, the limited commercial development of reclaimed water and the strengthening of public awareness and cooperation among stakeholders.

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Section: Urbanizationmentioning

confidence: 99%

Wastewater reclamation and reuse in China: Opportunities and challenges

Lyu

Chen

Zhang

et al. 2016

Journal of Environmental Sciences

294

118

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“…However, the other two variables have a positive coefficient so that with the influence of the two variables, sanitation improvements will increase. Yit = 19.71887 + 0.2191SN + 1.8279Loggdp -58.5962HDI + et (5) Nepal linear regression estimation results have a constant value of 19.71887, meaning that without the influence of independent variables (SN, LogGDP, and HDI) the value of improving drinking water access is 19.71. Both SN and GDP variables have a positive sign, so they will have a positive influence on improving access to drinking water.…”

Section: The Determinants Of State With Improved Drinking Water Accessmentioning

confidence: 99%

The Improvement of Drinking Water Access in Developing Countries: Case Study of 10 Countries in South-East Asia

Budi¹,

Raharjo²,

Gravitiani

2019

Proceedings of the International Conference of Science and Technology for the Internet of Things

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This article examines the impact of sanitation improvement, economic growth, and the increasing of human development index on improving access to drinking water in developing countries (10 South-East Asia countries) from 2000 to 2015. and analyzed using panel analysis and multiple linear regression. The findings of this study is the variables of sanitation improvement and HDI improvement positively and significantly affect the improving of drinking water access . In addition, sanitation improvement specifically variables affect Bhutan and Nepal to improve access to safe drinking water, while the GDP and HDI do not have impact. While the three independent variables do not affect dependent variable in Bangladesh. This study reveals that the improving access to drinking water is affected by improved sanitation and increased HDI, but improved access to drinking water is not affected by economic growth.Keywords: Sanitation, economic growth, human development index (hdi), and improved access to drinking water.

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“…Also, [11] investigated the connection between water use change, urbanization and economic growth in China from 1997 to 2013 by applying a co-integration test and a VECM (vector error correction model). This study provided evidence of the existence of a long-run equilibrium relationship among those indicators, while the short-run effects and Granger causal relationship were found to be insignificant.…”

mentioning

confidence: 99%

The Relationship of Causal Factors Affecting the Future Equilibrium Change of Total Final Energy Consumption in Thailand’s Construction Sector under a Sustainable Development Goal: Enriching the SE-VARX Model

Sutthichaimethee¹,

Kubaha²

2018

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This study aims to analyze the influence of the relationship between causal factors that affect the future equilibrium of the total final energy consumption in the construction sector of Thailand under the sustainable development policy for the period of 10 years (2019)(2020)(2021)(2022)(2023)(2024)(2025)(2026)(2027)(2028). This analysis was achieved with the application of the Structure Equilibrium-Vector Autoregressive with Exogenous Variables model (SE-VAR X model). This model was developed to fill research gaps and differs from those of previous studies. In the selection of variables, the study focused on Sustainable Development (SD)-based variables available through the lens of Thailand. The exogenous variables included real GDP, population growth, urbanization rate, industrial structure, oil price, foreign direct investment, international tourist arrivals, and total exports and imports. Every variable had a co-integration at level (1) and was used to structure the SE-VAR X model. This particular model can effectively analyze the influence of the direct relationship and meet the criteria of goodness of fit without spuriousness. This SE-VAR X model allowed us to discover that every variable in the model had an influence on the equilibrium change, where the real GDP is the fastest variable to adjust to the equilibrium while the total final energy consumption has the slowest adjustment ability. The SE-VAR X model can be used to project the total final energy consumption, as verified by the performance test result. The test was measured based on the Mean Absolute Percentage Error (MAPE) and Root Mean Square Error (RMSE), and their results were 1.09% and 1.01%, respectively. This performance result had the highest value compared to other models in the past. Thus, the SE-VAR X model is suitable for forecasting over the next 10 years (2019)(2020)(2021)(2022)(2023)(2024)(2025)(2026)(2027)(2028)(2029)(2030)(2031)(2032)(2033)(2034)(2035)(2036)(2037)(2038). The results of this study reveal that the total final energy consumption in the construction sector of Thailand will exhibit a continuously increasing growth rate from 2019 to 2028, amounting to about 144.29% or equivalent to 364.01 ktoe. In addition, the study also found that future government plans may be difficult to achieve as planned. Therefore, the introduced model should be integrated into national development planning and strategies to achieve sustainable development in the future and to enable its application to other sectors.

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The Causal Relationship between Urbanization, Economic Growth and Water Use Change in Provincial China

Cited by 33 publications

References 33 publications

Wastewater reclamation and reuse in China: Opportunities and challenges

Wastewater reclamation and reuse in China: Opportunities and challenges

The Improvement of Drinking Water Access in Developing Countries: Case Study of 10 Countries in South-East Asia

The Relationship of Causal Factors Affecting the Future Equilibrium Change of Total Final Energy Consumption in Thailand’s Construction Sector under a Sustainable Development Goal: Enriching the SE-VARX Model

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