Next Article in Journal
Measuring Accessibility Based on Improved Impedance and Attractive Functions Using Taxi Trajectory Data
Previous Article in Journal
Understanding the Tourists’ Spatio-Temporal Behavior Using Open GPS Trajectory Data: A Case Study of Yuanmingyuan Park (Beijing, China)
Previous Article in Special Issue
Assessing the Impact of Public Rental Housing on the Housing Prices in Proximity: Based on the Regional and Local Level of Price Prediction Models Using Long Short-Term Memory (LSTM)
Article

The Urban Blight Costs in Taiwan

1
Department of Urban Planning and Disaster Management, Ming Chuan University, Taoyuan City 333, Taiwan
2
Department of Urban Planning, National cheng Kung University, Tainan City 701, Taiwan
3
Urban & Regional Planning and Center for Global Change & Earth Observations, Michigan State University, East Lansing, MI 48824-3407, USA
*
Author to whom correspondence should be addressed.
Sustainability 2021, 13(1), 113; https://doi.org/10.3390/su13010113
Received: 20 November 2020 / Revised: 18 December 2020 / Accepted: 21 December 2020 / Published: 24 December 2020
(This article belongs to the Special Issue Urban Economics, City Development and Future Social Challenges)
Urban blight is not only an eyesore for city residents, but also a threat to health, psychological well-being, and safety. It not only represents substantial economic decline, but also spreads through urban space. As well as the loss of personal property value, urban blight also harms public interests in the public domain. This study finds that danger and age are the two main factors of urban blight. Ignoring these two factors causes housing prices to fall. The decline in population due to long-term economic stagnation and the exodus of residents and industries, coupled with the long-term decline in income and spending on maintenance of old houses, has led to major visual and physical economic blight. This investigation adopts the hedonic model to analyze the correspondence of house prices with urban blight, based on real estate prices and related township variables announced by the government in Taiwan in 2017, and applies the spatial regression model to investigate the direct and indirect effects of real estate prices. The following conclusions can be drawn from the analytical results. 1. The spatial lag model finds that urban blight has a spatial spillover effect. 2. The government must not disregard the blight, due to its detrimental effect on housing prices and spatial diffusion effect. 3. The factors that affect the blight are age of residents, age of buildings, poverty, and danger. View Full-Text
Keywords: blight; hedonic model; spatial regression model blight; hedonic model; spatial regression model
Show Figures

Figure 1

MDPI and ACS Style

Hu, C.-P.; Hu, T.-S.; Fan, P.; Lin, H.-P. The Urban Blight Costs in Taiwan. Sustainability 2021, 13, 113. https://doi.org/10.3390/su13010113

AMA Style

Hu C-P, Hu T-S, Fan P, Lin H-P. The Urban Blight Costs in Taiwan. Sustainability. 2021; 13(1):113. https://doi.org/10.3390/su13010113

Chicago/Turabian Style

Hu, Chich-Ping, Tai-Shan Hu, Peilei Fan, and Hai-Ping Lin. 2021. "The Urban Blight Costs in Taiwan" Sustainability 13, no. 1: 113. https://doi.org/10.3390/su13010113

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop