University Campuses and Housing Markets: Evidence from Nanjing

Zhong, Ruijun; Zhao, Wanxia; Zou, Yonghua; Mason, Robert

doi:10.1080/00330124.2017.1325750

Cited by 19 publications

(8 citation statements)

References 26 publications

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“…Thus, when researchers found that students on suburban campuses travel less often for self‐improvement activities, they could not identify whether this result was due to a biased sample (students living in suburbs do not like self‐improvement activities) or in fact related to the campus location. In China, universities are surrounded by walls and gates, provide students with low‐cost dormitories, and require students to live on campus, regardless of whether the students have positive or negative attitudes toward self‐improvement activities (Sun et al., 2018; Zhong et al., 2018). Therefore, university students are a sample uniquely suited to controlling for residential self‐selection effects.…”

Section: Literature Reviewmentioning

confidence: 99%

“…As a result, the diverse travel needs of students on universities' suburban campuses are seldom met. Moreover, university students cannot choose their campus locations, and university policies require them to live in on‐campus dormitories (Zhong et al., 2018). Hence, students on suburban campuses may face a disadvantage in their access to facilities off campus compared to students on urban campuses.…”

Section: Introductionmentioning

confidence: 99%

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Inequity on suburban campuses: University students disadvantaged in self‐improvement travel

2022

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Many new university campuses have been built in suburban areas where transit and service facilities are negligible.However, few studies explore the educational and transportation equity issues related to campus location. Based on a 2017 survey comprising 1673 students on 37 campuses in Shanghai, this study applied multilevel models to examine the association between the built environment around campuses and university students' travel behaviors. In particular, we focused on the travel that students undertake for self-improvement activities (e.g., internships and education-related activities) because this type of travel plays an important role in improving students' abilities and promoting their career development. We found that students on suburban campuses, which are characterized by being farther away from the city center, being single land use, and having fewer transit services, engage in fewer and longer trips to self-improvement destinations. However, students studying on urban campuses, which are characterized by mixed land use and greater accessibility to the city center and subway service, engage in more frequent and shorter trips to self-improvement destinations. Therefore, students on suburban campuses are at a disadvantage regarding

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Section: Literature Reviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Inequity on suburban campuses: University students disadvantaged in self‐improvement travel

2022

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“…A recent study of the impact of the Amazon HQ2 announcement on local housing prices used a difference-in-differences (DID) analysis to compare outcomes in Crystal City, Virginia and Long Island City, New York, and found price premia of 4.3% and 17.5% before the decision and no impact afterward (Chen et al, 2021). A study of university campuses in Nanjing, China, found that they were capitalized into housing prices within 0.5 kilometer, with greater impact for Tier 1 universities (Zhong et al, 2018). In a 10-mile radius from its headquarters, a company's initial public offering, measured from its run-up to its aftermath, increased housing prices by almost 2% (Hartman-Glaser et al, 2018).…”

Section: Tech and Housing Marketsmentioning

confidence: 99%

Big Tech on the Block: Examining the Impact of Tech Campuses on Local Housing Markets in the San Francisco Bay Area

Chapple

Jeon

2021

Economic Development Quarterly

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The rapid growth of tech company headquarters such as Apple, Facebook, and Google could potentially put new pressure on the housing market in adjacent residential neighborhoods, in the form of housing price appreciation and real estate speculation. This article examines the relationship between the big tech corporate campuses and Silicon Valley/San Francisco housing markets using the Zillow (ZTRAX) transaction and tax assessor data. The authors compare real estate activity adjacent to new company locations with activity in nearby areas, conducting a difference-in-differences analysis to estimate changes in housing prices and speculation. They find that housing prices increase overall by an additional 7.1% in the immediate vicinity of the tech campus 2 years after arrival, with wide variation across campuses. The authors also identify significant real estate speculation occurring prior to firms’ arrival. This suggests that cities should take a proactive role in mitigating tech firm impacts on vulnerable adjacent neighborhoods.

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“…After the national strategy of "developing the country through science and education" was proposed in 1995, China's higher education flourished, and many universities began to expand, with new campuses springing up [1,2]. From 2000 to 2020, the number of higher education institutions increased from 1041 to 2738.…”

Section: Introductionmentioning

confidence: 99%

Comparisons of Built Environment Correlates of Walking in Urban and Suburban Campuses: A Case Study of Tianjin, China

Zhang,

Wang,

Pang

et al. 2023

Land

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Current Chinese campus planning and design have neglected to promote walking activity (WA). Lacking WA and developing sedentary and physical inactivity habits can lead to obesity, diabetes, and other noncommunicable diseases. Academia has confirmed that WA can be facilitated by planning and designing built environment (BE) interventions. Accordingly, this study aims to explore the effect of campus BE features on walking in different regions’ campuses and present nuanced campus planning and design strategies. We selected the objectively measured BE features of destination accessibility, land use, street connectivity, and spatial configuration. Environmental design qualities and pedestrian facilities were chosen as the micro-level BE features. We applied GIS 10.1 and sDNA to calculate gross BE features and field audit tools to measure street environmental features and pedestrian volume (PV). We built negative binomial regression models and eliminated spatial autocorrelation to investigate and compare the BE correlates of walking in urban and suburban campuses. Similarities and differences were found among the outcomes derived from the two regions. We found that campus Walk Score, land use attributes of facility density and park land ratio, complexity, and other features closely correlate with PV in the two types of campuses. Comparatively, closeness, transparency, and complexity only influence urban campuses’ PV, while block length, entropy, facility land ratio, and sidewalk quality only correlate with PV on suburban campuses. According to these findings, we proposed different and targeted campus renewal and planning strategies for WA and walkability promotion.

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University Campuses and Housing Markets: Evidence from Nanjing

Cited by 19 publications

References 26 publications

Inequity on suburban campuses: University students disadvantaged in self‐improvement travel

Inequity on suburban campuses: University students disadvantaged in self‐improvement travel

Big Tech on the Block: Examining the Impact of Tech Campuses on Local Housing Markets in the San Francisco Bay Area

Comparisons of Built Environment Correlates of Walking in Urban and Suburban Campuses: A Case Study of Tianjin, China

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