Top

Published in:

2021 | OriginalPaper | Chapter

Navigating the Property Data Landscape

Author : Robert Ciemniak

Published in: Understanding China’s Real Estate Markets

Publisher: Springer International Publishing

Activate our intelligent search to find suitable subject content or patents.

search-config

AI-assisted search

Off

Abstract

China property data, especially in the housing markets, are surprisingly rich, are broadly available from both government and independent private sources, and yet are unstructured and highly nuanced to interpret correctly. The office, retail, industrial, and niche sectors have less transparent data, mainly served by the established brokerage firms and industry associations. The increasing competition between developers in a more mature market, availability of alternative data, and China’s big push for artificial intelligence all drive a growing interest in and supply of the data. This chapter provides a practical introduction to China’s property data landscape from an institutional (investor, fund manager, developer, and lender) perspective, focusing on the housing markets, in the context of decisions related to investments.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

previous chapter The Evolving Real Estate Market Structure in China

next chapter China’s Economy at the Crossroads

Measuring the reported sales by developers of “commercialized residential” housing: RMB 7.3, 9.9, 11.0, 12.6, and 13.9 trillion for 2015, 2016, 2017, 2018, and 2019, respectively (National Bureau of Statistics of China 2020).

CASS publishes regular annual “blue books” on the real estate market, including the competitiveness rankings of cities (CASS 2018).

Statistical analysis of the determinants of the house price growth in China has been a subject of various academic papers including Zhang et al. (2012) and Ming (2017).

Data sourced from National Bureau of Statistics (2018) and compiled and processed by Real Estate Foresight (2018).

More background information in English: http://chinaindexholdings.com/en/data. Since May 30, 2019, the author has been an independent director of China Index Holdings (CIH). However, any opinions or comments expressed in this chapter are in a personal capacity, and not on behalf of CIH.

More background information in English: http://www.ehousechina.com/cric/index?name=EN

Including the IMF Working Paper Understanding Residential Markets in China (2015), available at http://english.gov.cn/news/top_news/2018/02/05/content_281476037070464.htm

As disclosed on the website https://www.talkingdata.com/about-us.jsp?languagetype=en_us

Some disclosure of the details of the data and how it is collected is available at https://baike.baidu.com/item/%E7%99%BE%E5%BA%A6%E7%83%AD%E5%8A%9B%E5%9B%BE/3098963 (in Chinese).

Can Online Searches Predict Price Hikes In China Property Markets? Forbes online article available at https://www.forbes.com/sites/robertciemniak/2017/01/03/can-online-searches-predict-price-hikes-in-china-property-markets/#5a00492449c1

Asian investors boost use of unorthodox data sources in battle to beat benchmarks. Reuters online article available at https://www.reuters.com/article/us-investment-asia-data-analysis/asia-investors-boost-use-of-unorthodox-data-sources-in-battle-to-beat-benchmarks-idUSKBN17R32L

For example, see the data release on new residential sales by the US Census Bureau: https://www.census.gov/construction/nrs/pdf/newressales.pdf

According to Xinhua news agency quoting data from National Bureau of Statistics: http://www.xinhuanet.com/english/2020-01/19/c_138718450.htm

Available at https://www.wsj.com/articles/chinas-property-market-has-a-new-blind-spot-1487065745

The full name of this index series for the US house prices is S&P CoreLogic Case-Shiller Home Price Indices, for details see https://us.spindices.com/index-family/real-estate/sp-corelogic-case-shiller

The announcement was widely covered by the media and industry magazines, including https://www.technologyreview.com/the-download/609791/china-has-a-new-three-year-plan-to-rule-ai/

CASS. (2018). Major publications list. Retrieved March 12, 2018 from http://casseng.cssn.cn/research/research_publications/research_reports/

Han, S., Wang, P., & Wang, B. (2013). A study on correlation between web search data and housing price evidence from Beijing and Xi’an in China. In 2nd International conference on science and social research (ICSSR 2013). Retrieved March 12, 2018 from https://www.atlantis-press.com/proceedings/icssr-13/7788

IMF. (2017). People’s Republic of China. IMF country report no. 17/248. Retrieved March 12, 2018 from https://www.imf.org/~/media/Files/Publications/CR/2017/cr17248.ashx

Ming, Q. (2017). The determinants of Chinese property prices. International Journal of Economics and Finance, 9(1), 194–201.

National Bureau of Statistics of China. (2020). Data sourced from http://data.stats.gov.cn/english/easyquery.htm?cn=A01

Wu, J., & Deng, Y. (2015). Intercity information diffusion and price discovery in housing markets: Evidence from Google searches. The Journal of Real Estate Finance and Economics, 50(3), 289–306.CrossRef

Zhang, Y., Xiuping, H., & Liang, Z. (2012). Exploring determinants of housing prices: A case study of Chinese experience in 1999–2010. Economic Modelling, 29(6), 2349–2361.CrossRef

Title: Navigating the Property Data Landscape
Author: Robert Ciemniak
Publisher: Springer International Publishing
Book: Understanding China’s Real Estate Markets
Print ISBN: 978-3-030-71747-6

Electronic ISBN: 978-3-030-71748-3

Copyright Year: 2021
DOI: https://doi.org/10.1007/978-3-030-71748-3_3

Springer Professional

Abstract

Please log in to get access to your license.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Technik"

Springer Professional "Wirtschaft"