Journal of Energy and Natural Resources
Volume 8, Issue 1, March 2019, Pages: 30-36
Received: Jan. 20, 2019;
Published: Apr. 28, 2019
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Juan Zhao, Institute of Soil and Water Conservation, Northwest A & F University, Yangling, China; Mingde College, Guizhou University, Guiyang, China
Xingmin Mu, Institute of Soil and Water Conservation, Northwest A & F University, Yangling, China; Institute of Soil and Water Conservation, CAS & MWR, Yangling, China
Wenbing Shi, College of Resource and Environmental Engineering, Guizhou University, Guiyang, China
Mei Ou, Mingde College, Guizhou University, Guiyang, China
In this paper, a dynamic method is presented for setting the price of urban residential water. Using a model called Seasonal Water Pricing (SWP); urban residential water pricing was set by taking into account the fact that some of the characteristics of temperature and precipitation may also influence residential water supply levels. In this work, an SWP model was adopted and used to estimate correction coefficients for urban residential water prices. The adjusted cost of water was < 3% of the disposable per capita income of customers. Thus, this work offers a basis for reforming water resource pricing in China.
Using Meteorological Data to Adjust Water-Pricing of Urban Resident Households, Journal of Energy and Natural Resources.
Vol. 8, No. 1,
2019, pp. 30-36.
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