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Arthur MEUNIER – arthur.meunier@cpe.fr & Sergey IVANOV
https://www.linkedin.com/in/meunierarthur
The Chinese Real Estate Market
A Growing Bubble
January 2018
2
Outline
Introduction
Situation of the housing market
1- Buying
2- Renting
3- Hukou System
4- Construction & Urbanization
5- Oversupply
Financing
1- Loans & Mortgages
2- Shadow banking
3- Income level comparison
Government’s intervention
Conclusion
3
Introduction
 Property & construction account for
15% of China’s GDP (35% with
auxiliary industries)
(Anderlini, 2015 & Cao, 2014)
In 2018:
 Infrastructures’ modernization and
urbanization to sustain growth on the
mid-term.
 Mid to long term Loans & Mortgages have been increasing by a yoy 13% to
15% since 2013. (Tham and Chatterjee, 2017)
 Impacts 40 other industries (Chen and Glenn,
2017)
 Household debt to GDP at 47% (Q2, 2017)
4
 Not possible to own land in
China (99 years bails)
 17% annual growth rate on
average (2004 - 2013)
 In comparison: Average 11%
growth in individual income
& 10% growth in GDP
(Fang, Gu, Xiong, and Zhou 2015)
 Abnormal growth rate
compared to other economies
(+120% since 2010)
In October 2016 Shanghai had a year-to-year growth of 27.82%,
Beijing 23.5%, Guangzhou 15.9%, and finally Shenzhen had an
astonishing growth of 65% during the year 2016.
(Colliers International, 2017)
Housing Market: Buying
5
Housing Market: Buying
From 2005 to 2016, for
main cities:
 + 923% Shenzhen,
 + 404% Shanghai,
 + 363% Beijing
 + 216% Tianjin
 + 204% Wuhan
6
Housing Market: Renting
 Rental prices do not
follow prices for
buying new.
 Large vacancy rates
(unrented) observed in
big cities (Speculation
on buying/selling).
 Need « 2 lifes » to pay
back loans by rent.
7
Housing Market: Renting
 Return on investment by
renting bellow 2% after taxes
(ITT, RET & BT).
 Usually considered « safe » if
up to 5%.
 Governement policies to fight
vacancy is pushing up
availibility.
 Xiamen ROI by renting: 100
years.
 Beijing : 72 years (Yangpeng, 2017).
8
The Hukou System
 Resident card for Chinese cities;
 Allows access to public services (e.g. schools), plate numbers
(driving) and other benefits (retirement pensions, healthcare).
 Easy to obtain for graduates and household owners, not for
unqualified migrant workers;
 Intend to control rural emigration;
 Generates inequalities between rural and urban populations;
 Gives incentives for wealthy people from rural areas to invest
in big cities’ real estate in order to upgrade their Hukou.
9
Construction & Urbanization
 100 billion sq. feet of floor
space built (2003-2014)*.
 5.5 million new apartments
per year.
 16% of the country’s
migrant workforce was
involved in construction
industry (8% in the United
States, 13% in Spain)
 About 780 million urban
populations. *(Sources: National Bureau of Statistics of China 2014
& Chivakul et al. 2015)
10
Oversupply
 Overall vacancy rate estimated
between 22% and 27% in 2015*.
 Between 20 and 50 « ghost cities »
(vacancy rates between 50 and
90%)**
Amplified by:
1- Low interest rates on loans and
mortgages;
2- Need for local governments to finance
themselves by selling lands.
3- Strong growth of housing prices vs low
rental returns leading to speculation (buy,
keep new & eventually resell).
* China family financial survey and Research Center, 2014 & “National
urban housing market survey report“, 2015
**(Chi and Al, 2015, ChuanChuan and al, 2016 & Cai, 2017.)
11
 Fluctuations explained by changes in government’s regulations between low
to high interest rates.
 Both factors have created a surge in construction rates and fast increases of
market price leading to speculation.
 We saw previously that China’s GDP is very dependant of the construction
sector. A slow down would involves an economic’s contraction.
Oversupply
12
Financing: Loans & Morgages
 Household debt-to-GDP : 47% in 2017 vs 39% in 2015 (Corporate debt 169%)
 Household consumption : 37%, vs 70% in the U.S. (Tham and Chaterjee, 2017)
 Local governments (LGs) debts at +120% between 2010-2014 (even if Beijing forbid
them to raise large amounts of money).
 LGs rely for 35% of their GDP on the sales of lands.
13
Financing: Shadow banking
 Down payment for obtaining a mortgage in China: 20% to 40%
  Individuals borrow founds from unregulated shadow banks and use it as
down payment for their mortgage (leveraged debt) in order to access property.
 Intermediaries: Property developers, real estate agencies, and P2P lenders
provide loans, package them and sell them as wealth-management products, to
millions of individual investors. (Huang, 2016).
 (Short-term household loans +243% (1.6 trillion RMB) in the first 10 months of
2017).
 As real estate is recently showing signs of downturns, local governments have
borrowed money from state banks, bond markets and lightly regulated
underground institutions to repurchase lands.
 Illegal but tolerated as it allows artificial growth and prices’ control.
14
Financing: Income level comparison
 Price/Income ratio in 1st/2cd tier cities about 8 in 2011.
 Level similar with Japonese housing bubble (1989) (US subprimes: ratio = 3)
15
Governement’s intervention
 More governemental intervention after international press get interest for
ghost cities (Ordos, Dantu..)
 2010: No more than 2 properties by couples (led to an increase in divorces
rates).
 Major cities have to publish housing market price to keep it under control.
 Raised in required down payments and mortgage interest rates (led to more
shadow banking in 2017).
 April 2017: newly bought houses must be held more than 4 years before
being resold (avoid domino effect in case of panic).
 The government announced several times that it intends to purchase unsold
properties, and turn them into low-cost housing, measure that might lead to
a fall of the market price (Shepard, 2016).
16
Conclusion
Bubble characteristics
 Abnormal growth rates;
 Oversupply and high vacancy;
 Important speculation;
 Shadow banking and bad debts;
 GDP artificially driven by real estate sector and associated loans;
 Most of the individual’s wealth invested in real estate (See: The Chinese
Equity Market presentation)
 Risk for Chinese economy from the real estate sector notably in
case of economic downturn (falling GDP growth).

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The Chinese Real Estate Market: A Growing Bubble

  • 1. Arthur MEUNIER – arthur.meunier@cpe.fr & Sergey IVANOV https://www.linkedin.com/in/meunierarthur The Chinese Real Estate Market A Growing Bubble January 2018
  • 2. 2 Outline Introduction Situation of the housing market 1- Buying 2- Renting 3- Hukou System 4- Construction & Urbanization 5- Oversupply Financing 1- Loans & Mortgages 2- Shadow banking 3- Income level comparison Government’s intervention Conclusion
  • 3. 3 Introduction  Property & construction account for 15% of China’s GDP (35% with auxiliary industries) (Anderlini, 2015 & Cao, 2014) In 2018:  Infrastructures’ modernization and urbanization to sustain growth on the mid-term.  Mid to long term Loans & Mortgages have been increasing by a yoy 13% to 15% since 2013. (Tham and Chatterjee, 2017)  Impacts 40 other industries (Chen and Glenn, 2017)  Household debt to GDP at 47% (Q2, 2017)
  • 4. 4  Not possible to own land in China (99 years bails)  17% annual growth rate on average (2004 - 2013)  In comparison: Average 11% growth in individual income & 10% growth in GDP (Fang, Gu, Xiong, and Zhou 2015)  Abnormal growth rate compared to other economies (+120% since 2010) In October 2016 Shanghai had a year-to-year growth of 27.82%, Beijing 23.5%, Guangzhou 15.9%, and finally Shenzhen had an astonishing growth of 65% during the year 2016. (Colliers International, 2017) Housing Market: Buying
  • 5. 5 Housing Market: Buying From 2005 to 2016, for main cities:  + 923% Shenzhen,  + 404% Shanghai,  + 363% Beijing  + 216% Tianjin  + 204% Wuhan
  • 6. 6 Housing Market: Renting  Rental prices do not follow prices for buying new.  Large vacancy rates (unrented) observed in big cities (Speculation on buying/selling).  Need « 2 lifes » to pay back loans by rent.
  • 7. 7 Housing Market: Renting  Return on investment by renting bellow 2% after taxes (ITT, RET & BT).  Usually considered « safe » if up to 5%.  Governement policies to fight vacancy is pushing up availibility.  Xiamen ROI by renting: 100 years.  Beijing : 72 years (Yangpeng, 2017).
  • 8. 8 The Hukou System  Resident card for Chinese cities;  Allows access to public services (e.g. schools), plate numbers (driving) and other benefits (retirement pensions, healthcare).  Easy to obtain for graduates and household owners, not for unqualified migrant workers;  Intend to control rural emigration;  Generates inequalities between rural and urban populations;  Gives incentives for wealthy people from rural areas to invest in big cities’ real estate in order to upgrade their Hukou.
  • 9. 9 Construction & Urbanization  100 billion sq. feet of floor space built (2003-2014)*.  5.5 million new apartments per year.  16% of the country’s migrant workforce was involved in construction industry (8% in the United States, 13% in Spain)  About 780 million urban populations. *(Sources: National Bureau of Statistics of China 2014 & Chivakul et al. 2015)
  • 10. 10 Oversupply  Overall vacancy rate estimated between 22% and 27% in 2015*.  Between 20 and 50 « ghost cities » (vacancy rates between 50 and 90%)** Amplified by: 1- Low interest rates on loans and mortgages; 2- Need for local governments to finance themselves by selling lands. 3- Strong growth of housing prices vs low rental returns leading to speculation (buy, keep new & eventually resell). * China family financial survey and Research Center, 2014 & “National urban housing market survey report“, 2015 **(Chi and Al, 2015, ChuanChuan and al, 2016 & Cai, 2017.)
  • 11. 11  Fluctuations explained by changes in government’s regulations between low to high interest rates.  Both factors have created a surge in construction rates and fast increases of market price leading to speculation.  We saw previously that China’s GDP is very dependant of the construction sector. A slow down would involves an economic’s contraction. Oversupply
  • 12. 12 Financing: Loans & Morgages  Household debt-to-GDP : 47% in 2017 vs 39% in 2015 (Corporate debt 169%)  Household consumption : 37%, vs 70% in the U.S. (Tham and Chaterjee, 2017)  Local governments (LGs) debts at +120% between 2010-2014 (even if Beijing forbid them to raise large amounts of money).  LGs rely for 35% of their GDP on the sales of lands.
  • 13. 13 Financing: Shadow banking  Down payment for obtaining a mortgage in China: 20% to 40%   Individuals borrow founds from unregulated shadow banks and use it as down payment for their mortgage (leveraged debt) in order to access property.  Intermediaries: Property developers, real estate agencies, and P2P lenders provide loans, package them and sell them as wealth-management products, to millions of individual investors. (Huang, 2016).  (Short-term household loans +243% (1.6 trillion RMB) in the first 10 months of 2017).  As real estate is recently showing signs of downturns, local governments have borrowed money from state banks, bond markets and lightly regulated underground institutions to repurchase lands.  Illegal but tolerated as it allows artificial growth and prices’ control.
  • 14. 14 Financing: Income level comparison  Price/Income ratio in 1st/2cd tier cities about 8 in 2011.  Level similar with Japonese housing bubble (1989) (US subprimes: ratio = 3)
  • 15. 15 Governement’s intervention  More governemental intervention after international press get interest for ghost cities (Ordos, Dantu..)  2010: No more than 2 properties by couples (led to an increase in divorces rates).  Major cities have to publish housing market price to keep it under control.  Raised in required down payments and mortgage interest rates (led to more shadow banking in 2017).  April 2017: newly bought houses must be held more than 4 years before being resold (avoid domino effect in case of panic).  The government announced several times that it intends to purchase unsold properties, and turn them into low-cost housing, measure that might lead to a fall of the market price (Shepard, 2016).
  • 16. 16 Conclusion Bubble characteristics  Abnormal growth rates;  Oversupply and high vacancy;  Important speculation;  Shadow banking and bad debts;  GDP artificially driven by real estate sector and associated loans;  Most of the individual’s wealth invested in real estate (See: The Chinese Equity Market presentation)  Risk for Chinese economy from the real estate sector notably in case of economic downturn (falling GDP growth).