Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Wayne Xinwei Wan"'
Publikováno v:
Land, Vol 10, Iss 9, p 983 (2021)
The ongoing COVID-19 pandemic has left a strong imprint on many aspects of urban life. Gated communities (GCs) in China are less commonly perceived as a negative and segregated urban form of community compared to other contexts, owing to their wide v
Externí odkaz:
https://doaj.org/article/b491db6ccd7b426ba65d9c5f43521745
Autor:
Wayne Xinwei Wan, Thies Lindenthal
Publikováno v:
Real Estate Economics. 51:754-778
Publikováno v:
Review of Finance.
This article examines the impact of mainland Chinese buyers in the Hong Kong housing market, using complete transaction records between 2001 and 2017. We find that mainland buyers pay an average price premium of 1.4% compared with locals. The premium
Publikováno v:
SSRN Electronic Journal.
Publikováno v:
Journal of Regional Science. 61:570-596
This paper investigates the effect of a new bus route on noise complaints of residents and the influence of noise on housing price. To overcome the challenge of mapping noise data with subjective emotion, we use a novel data source—text‐based noi
Publikováno v:
IEEE Transactions on Automation Science and Engineering. 18:195-204
Mass customization aims to provide goods and services that meet each individual customer’s needs with a level of efficiency close to that of mass production. It is also a viable smart manufacturing strategy for companies that want to gain a competi
Publikováno v:
SSRN Electronic Journal.
Autor:
Wayne Xinwei Wan, Ling Li
Publikováno v:
The Journal of Real Estate Finance and Economics.
Expected losses anchored to purchase prices can affect actual transactions in different property sectors. Utilizing the data of over a million commercial and residential property transactions in Hong Kong from 1991 to 2015, we find that sellers facin
Autor:
Wayne Xinwei Wan, Thies Lindenthal
Publikováno v:
SSRN Electronic Journal.
A rapidly expanding universe of technology-focused startups is trying to change and improve the way real estate markets operate. The undisputed predictive power of machine learning (ML) models often plays a crucial role in the 'disruption' of traditi
Publikováno v:
SSRN Electronic Journal.
This study investigates the spillover effect of corporate headquarters relocation on the local housing market. Using a comprehensive database to identify corporate relocation events in the U.S. from 1994 to 2017, we show that moving a corporate headq