The Impact of Municipal Water Use Restrictions on the Pricing of Water-Sensitive Features in Single-Family Homes

Carstens, Riëtte; Fang, Yiping; Freybote, Julia

doi:10.1080/08965803.2020.1845553

Cited by 5 publications

(2 citation statements)

References 57 publications

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“…Factors such as the government's implementation of domestic water management policies have made domestic water consumption in these areas relatively unchanged. [ 50 ] Among them, Ningxia, Qinghai, and Tibet have very little domestic water consumption. The domestic water consumption in these three areas is below 500 million m 3 .…”

Section: Resultsmentioning

confidence: 99%

Prediction of Water Consumption in 31 Provinces of China Based on FGM(1,1) Model

Qiao

Yang

2022

CLEAN Soil Air Water

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Human production activities and social development cannot be separated from the indispensable water resources. In recent years, with the increasing speed of China's economic development, the consumption of water resources has gradually become the focus of attention of the Chinese government and the public. Based on the original data of water use of 31 provinces (municipalities and autonomous regions) in China from 2014 to 2018, a fractional order accumulative gray prediction model (FGM(1,1)) is established to predict the water use of 31 provinces (municipalities and autonomous regions) in China in the short term, and the applicability of the model is verified by the mean absolute percentage error (MAPE) value. According to the MAPE value, the data obtained by the FGM(1,1) model is relatively accurate. The prediction results show that in case of little change in total water consumption, agricultural water and industrial water use show a downward trend, while domestic water use shows an upward trend. The government's water management policy for urban residents needs to be adjusted, and the publicity work to improve the water-saving awareness of urban residents needs to be improved.

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Section: Resultsmentioning

confidence: 99%

Prediction of Water Consumption in 31 Provinces of China Based on FGM(1,1) Model

Qiao

Yang

2022

CLEAN Soil Air Water

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“…With its focus on the COVID-19 pandemic, our study also contributes to a larger literature on the effect of public health crises such as SARS (Wong, 2008), the Spanish flu in the 1920s (Basco et al, 2021), and other pandemics (Francke & Korevaar, 2021) on housing markets. This larger literature on public health crises ties in with other studies on the impact of negative environmental externalities such as land erosion or contamination (Below et al, 2015;Dumm et al, 2018;Simons & Saginor, 2006) or natural catastrophes such as droughts or hurricanes (Carstens et al, 2020;Harrison et al, 2001;Ortega & Taspinar, 2018;Shr & Zipp, 2019) on single-family home prices.…”

mentioning

confidence: 77%

Urban flight: A short‐term phenomenon or long‐term trend?

Kim,

Raiha,

Seo

et al. 2023

Real Estate Economics

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We investigate whether the urban flight from more to less dense locations identified by previous housing studies for the early COVID period is a temporary, pandemic‐induced phenomenon, or long‐term trend. We focus on the period of 2017–2022, 14,961 single‐family home transactions from Southwestern Ontario, and three housing market metrics. Our results for sales price in the early pandemic periods are in line with previous studies. However, our results for sales price in the last pandemic phase (2022), marketing time, and visit activity suggest that the urban flight was a temporary phenomenon characteristic of the early COVID phases.

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House Prices, Open Space, and Household Characteristics

Turner

Seo

2021

Journal of Real Estate Research

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The Impact of Municipal Water Use Restrictions on the Pricing of Water-Sensitive Features in Single-Family Homes

Cited by 5 publications

References 57 publications

Prediction of Water Consumption in 31 Provinces of China Based on FGM(1,1) Model

Prediction of Water Consumption in 31 Provinces of China Based on FGM(1,1) Model

Urban flight: A short‐term phenomenon or long‐term trend?

House Prices, Open Space, and Household Characteristics

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