42
URBAN VIEW -1- Contents: 2015 Issue No. 6 02 Data & Views Macro Economy Urban Data - Shanghai Inventory Residential Price Index Urban Analysis - Real Estate Market Costs of Building Materials & Construction 23 Industry Focus Is 90/70 Policy about to End? 27 In-Depth Observation To Promote the Informatization of Appraisal Industry, a Unified Data Standard Shall be in Place First 36 News Guidance Policy & Regulation Real Estate Finance Market Highlights Hosted by: Urban Surveyors - Shanghai Urban Real Estate Appraisal Co., Ltd. (SUREA) Chief Editors: Yuan Donghua, Xu Jun Deputy Editors-in-Chief: He Jian, Ren Tingzhen Executive Editor: Qin Yun Associate Editors: Shao Minghao, Huang Haisheng, Jiang Qimin, Lin Feng Editors: Lin Jingjun, Ren Chenying, Shi Jian, Mi Huiying Art Editor: Zhang Tao Address: 15-18F New Golden Bridge Plaza, No. 1 West Beijing Road, Shanghai Postcode: 200003 Website: www.surea.com Email: [email protected] Tel: 86 21 63589988

Contentsœˆ刊上传/2015_8月刊EN...Email: [email protected] Tel: 86 21 63589988 URBAN VIEW -2- Data & Views Shanghai Inventory Residential Price Index rose by 1.51% Business-oriented

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Page 1: Contentsœˆ刊上传/2015_8月刊EN...Email: surea@surea.com Tel: 86 21 63589988 URBAN VIEW -2- Data & Views Shanghai Inventory Residential Price Index rose by 1.51% Business-oriented

URBAN VIEW -1-

Contents:

2015 Issue No. 6

02 Data & Views Macro Economy

Urban Data - Shanghai Inventory

Residential Price Index

Urban Analysis - Real Estate Market

Costs of Building Materials &

Construction

23 Industry Focus Is 90/70 Policy about to End?

27 In-Depth Observation To Promote the Informatization of

Appraisal Industry, a Unified Data

Standard Shall be in Place First

36 News Guidance Policy & Regulation

Real Estate Finance

Market Highlights

Hosted by: Urban Surveyors -

Shanghai Urban Real Estate

Appraisal Co., Ltd. (SUREA)

Chief Editors: Yuan Donghua, Xu

Jun

Deputy Editors-in-Chief: He Jian,

Ren Tingzhen

Executive Editor: Qin Yun

Associate Editors: Shao Minghao,

Huang Haisheng, Jiang Qimin, Lin

Feng

Editors: Lin Jingjun, Ren

Chenying, Shi Jian, Mi Huiying

Art Editor: Zhang Tao

Address: 15-18F New Golden

Bridge Plaza, No. 1 West Beijing

Road, Shanghai

Postcode: 200003

Website: www.surea.com

Email: [email protected]

Tel: 86 21 63589988

Page 2: Contentsœˆ刊上传/2015_8月刊EN...Email: surea@surea.com Tel: 86 21 63589988 URBAN VIEW -2- Data & Views Shanghai Inventory Residential Price Index rose by 1.51% Business-oriented

URBAN VIEW -2-

Data & Views

Shanghai Inventory Residential Price Index rose by 1.51%

Business-oriented land market: transaction volume declined due to

low supply

Commodity residential market: “slack season” was not slack

Pre-owned residential market: supply was likely to fall short of

demand

VISS base price reached RMB 31,431/sqm in July

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URBAN VIEW -3-

Macro Economy

Trend of CPI & PPI, Jan 2013 ~ July 2015

Growth of Shanghai Real Estate Loans, Jan 2013 ~ June 2015

CPI (July)

Category YoY % MoM %

CPI 1.6 0.3

Food 2.7 0.7

Tobacco, liquor and articles 3.6 0.1

Clothing 2.9 -0.5

Household appliances and

maintenance services

1.0 0.0

Health care and personal

articles

1.9 0.1

Transportation and

communication

-1.8 0.0

Recreation, education,

culture articles and services

1.7 0.8

Residence 0.8 0.1

PPI (July)

Category YoY % MoM %

PPI -5.4 -0.7

Means of production -6.9 -0.9

Mining industry -19.4 -1.5

Material industry -9.7 -1.2

Process industry -4.5 -0.7

Means of livelihood -0.3 0.0

Food 0.2 0.1

Clothing 0.5 0.0

Articles for daily use -1.0 -0.2

Durable consumer goods -0.7 -0.2

-6.00%

-5.00%

-4.00%

-3.00%

-2.00%

-1.00%

0.00%

1.00%

2.00%

3.00%

4.00%13

-1

13-2

13-3

13-4

13-5

13-6

13-7

13-8

13-9

13-1

0

13-1

1

13-1

2

14-1

14-2

14-3

14-4

14-5

14-6

14-7

14-8

14-9

14-1

0

14-1

1

14-1

2

15-1

15-2

15-3

15-4

15-5

15-6

15-7

CPI PPI

-100

-50

0

50

100

150

13-1

13-2

13-3

13-4

13-5

13-6

13-7

13-8

13-9

13-1

013

-11

13-1

214

-114

-214

-314

-414

-514

-614

-714

-814

-914

-10

14-1

114

-12

15-1

15-2

15-3

15-4

15-5

15-6

RMBmillion

Growth of real estate development loansGrowth of personal housing loans

x 10

0

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URBAN VIEW -4-

Urban Data

- Shanghai Inventory Residential Price Index 1. The city index rose by 1.51%. The increase was expanding.

The Implementation Opinions on Deepening the Institutional Mechanism Reform of

Human Resources Work to Encourage Innovation and Entrepreneurship published on

July 5 will not bring significant impact on Shanghai’s real estate market in the near

term. It will slowly drive the home purchasing demand in Shanghai in the long term.

Shanghai Inventory Residential Price Index reached 169.79 in July 2015, a MoM growth of 1.51% and a YoY rise of 4.69%.

The city’s index increase over the past three months

Month Index MoM Increase

2015. 5 164.85 1.70%

2015. 6 167.26 1.46%

2015. 7 169.79 1.51%

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URBAN VIEW -5-

2. Index increase within the Inner Ring Road continued soaring. Move-up

demand remained the pillar.

The index increase

within the Inner Ring

Road was 2.08%, the

highest in this month;

the index increase

beyond the Suburban

Ring Road was 0.75%,

the lowest in this

month.

3. 27 sections saw increases over 2%. Jinqiao saw a slight drop in this month.

In July 2015, most of the sections saw increases in price index, among which 27

sections saw growth over 2%. Jinqiao section saw a slight drop of 0.19% in this

month.

Between OR and SR167.99 1.52%

Within IR 173.51 2.08%

Between IR and MR 179.45 1.66%

Between MR and OR 175.31 1.36%

Outside SR 141.08 0.75%

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URBAN VIEW -6-

Urban Analysis——Land Market 1. Supply

1) Overall Supply

The overall supply of business-oriented land in July stayed at low level. Totally 51.4

hectares of land were supplied. Only 3 parcels of industrial land were supplied,

totaling 4.1 hectares, a monthly new low.

2) Supply of Business-oriented Land by Type

In terms of the supply of business-oriented land, 28.8 hectares of affordable housing

land, 14.8 hectares of retail/office land and 7.7 hectares of mixed-use land (incl.

residential use) were supplied in July; no commodity residential land was listed in this

month.

0

100

200

300

400

500

600

14-07 14-08 14-09 14-10 14-11 14-12 15-01 15-02 15-03 15-04 15-05 15-06 15-07ha.

Trend of Land Supply

Business-oriented land Industrial land

0

20

40

60

80

100

120

140

160

14-07 14-08 14-09 14-10 14-11 14-12 15-01 15-02 15-03 15-04 15-05 15-06 15-07ha.

Supply of Business-oriented Land by Type

Commodity residential land Retail/office land

Affordable housing land Mixed-use land (incl. residential use)

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URBAN VIEW -7-

2. Transaction Volume

1) Overall Transaction Volume

Land transaction greatly fell due to low supply. In July, 54.9 hectares of

business-oriented land were transacted, a MoM decrease of 23.9%. Only 4.1 hectares

of industrial land were transacted, a MoM decline of 66%.

2) Transaction Volume of Business-oriented Land by Type

Among all types of business-oriented land, affordable housing land remained No. 1 in

terms of transaction volume, with 28.8 hectares transacted. The transaction volume of

retail/commercial land saw drastic rebound, with 18.3 hectares transacted. 7.7

hectares of mixed-use land (incl. residential use) were transacted. There was no

commodity residential land transacted.

0

100

200

300

400

500

600

14-07 14-08 14-09 14-10 14-11 14-12 15-01 15-02 15-03 15-04 15-05 15-06 15-07ha.

Trend of Land Transaction Volume

Business-oriented land Industrial land

0

20

40

60

80

100

120

140

160

180

14-07 14-08 14-09 14-10 14-11 14-12 15-01 15-02 15-03 15-04 15-05 15-06 15-07ha.

Transaction Volume of Business-oriented Land by Type

Commodity residential land Retail/office land

Affordable housing land Mixed-use land (incl. residential use)

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URBAN VIEW -8-

3. Transaction Price

Although the land transaction was dominated by affordable land and there was no

commodity residential land transacted in July, supported by the transactions of

retail/office land and mixed-use land (incl. residential use), average transaction price

of business-oriented land did not decreased greatly and only fell to RMB 30,942/sqm.

The average transaction price of mixed-use land (incl. residential use) jumped to

RMB 114,036/sqm. The average transaction price of retail/office land increased to

RMB 40,464/sqm.

0

20000

40000

60000

80000

100000

120000

14-07 14-08 14-09 14-10 14-11 14-12 15-01 15-02 15-03 15-04 15-05 15-06 15-07RMB/sqm

Average Transaction Price of Business-oriented Land

Business-oriented land Commodity residential land

Retail/office land Mixed-use land (incl. residential use)

0

1000

2000

3000

4000

5000

6000

7000

8000

9000

14-07 14-08 14-09 14-10 14-11 14-12 15-01 15-02 15-03 15-04 15-05 15-06 15-07RMB/sqm

Average Transaction Price of Industrial Land

Industrial land

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URBAN VIEW -9-

Urban Analysis——New Residential Market 1. Supply and Demand, Transaction Volume and Price

In July 2015, the city’s new commodity residential supply totaled 963,400 sqm, a

MoM increase of 22.51% and a YoY growth of 11.00%; the transaction area totaled

1,346,800 sqm, a MoM decrease of 9.54% and a YoY rise of 96.47%. The

supply-to-demand ratio was 0.72, still below 1. The problem of short supply

remained. The transaction prices averaged RMB 34,682/sqm in July, slightly

increasing MoM by 1.44% and soaring YoY by 30.81%.

0

20

40

60

80

100

120

140

160

14-7 14-8 14-9 14-10 14-11 14-12 15-1 15-2 15-3 15-4 15-5 15-6 15-7

sqmMonthly Supply & Demand for Commodity Housing

Supply area Transaction area

x 10

000

-10

-5

0

5

10

15

20

25

30

35

20,000

22,000

24,000

26,000

28,000

30,000

32,000

34,000

36,000

14-7 14-8 14-9 14-10 14-11 14-12 15-1 15-2 15-3 15-4 15-5 15-6 15-7

%RMB/sqm Average Transaction Price of Commodity Housing

MoM YoY Average transaction price

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URBAN VIEW -10-

2. Hot Sections

Top 10 sections in terms of commodity residential transaction volume across the city in July 2015

Rank Section Supply Area

(sqm)

Transaction

Area

(sqm)

Average Transaction

Price

(RMB/sqm)

Turnover

(RMB

Billion)

1 Jiading New Town 85,423 72,028 20,337 1.465 2 Songjiang New Town - 64,858 22,212 1.441 3 Huamu & Beicai 72,023 60,092 49,126 2.952 4 Zhoukang - 56,625 29,289 1.659 5 Gaoqiao & Gaohang 31,121 53,523 35,665 1.909 6 Pujiang Town 30,630 46,994 38,389 1.804 7 Nanqiao - 42,788 23,851 1.021 8 Xujing 36,524 39,994 35,387 1.415 9 Huinan 21,462 39,787 18,971 0.755

10 Qilian - 38,235 28,032 1.072

Top 10 projects in terms of commodity residential transaction volume across the city in July 2015

Rank Project Name District Section

Transaction

Area

(sqm)

Average

Transaction

Price

(RMB/sqm)

1 Lujiazui Jin Xiu Li Pudong Huamu & Beicai 30,481 38,113 2 Waigaoqiao Sunland Residence Pudong Gaoqiao & Gaohang 26,775 35,653 3 Baohua Original Villa Minhang Pujiang Town 19,612 43,802 4 Wenxi Residence Zhabei Pengpu & Yonghe 16,238 41,353 5 City Oasis Baoshan Qilian 16,175 24,105 6 Jin Mao Palace Zhabei Daning 16,165 75,446 7 Pudong Yi Jing Yuan Nanhui Huinan 14,575 22,682 8 The Future of Life Qingpu Qingpu 14,411 20,940 9 Sheng Shi Bao Di Baoshan Songnan 13,661 30,382

10 SRE Yabinli Garden Zhabei Everbright City 13,619 61,997

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URBAN VIEW -11-

3. Hot New Supply

Top 10 projects in terms of new commodity residential supply across the city in July 2015

Rank Project Name District Section New Supply Area

(sqm)

1 Wonderful City Jiading Jiading New Town 43,375 2 The Future of Life Qingpu Qingpu Town 40,449 3 Li Du Garden Nanhui Lingang New Town 39,160 4 Season Residence Jiading Nanxiang 37,549 5 Wonderful World Town Pudong Huamu & Beicai 37,320 6 Long Ting Minhang Greater Gumei & Meilong 37,162 7 Zhengro Mansion Qingpu Xujing 36,524 8 Ideal of Life Nanhui Xinchang 36,120 9 Shinning Bay Qingpu Huaxin Town 35,969

10 Firenze Park Pudong Yuanshen Yangjing 35,825

4. Transaction Structure

below 1m4%

100~15010%

150~20013%

200~30023%

300~40016%

400~50010%

above 5m24%

Transaction Structure of Commodity Housing by Total Price, July 2015

below 703%

70-9022%

90-14552%

145-20013%

200-3008%

above 3002%

Transaction Structure of Commodity Housing by Area, July 2015

below 1m6% 100~150

11%

150~20013%

200~30025%

300~40013%

400~5008%

above 5m24%

Transaction Structure of Commodity Housing by Total Price, June 2015

below 704%

70-9022%

90-14550%

145-20013%

200-3009%

above 3002%

Transaction Structure of Commodity Housing by Area, June 2015

m = million

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URBAN VIEW -12-

By area, the proportion of properties with an area of 90-145 sqm increased by 2.36

percentage points while the proportions of properties with an area below 70 sqm and

an area of 200-300 sqm decreased by 1.12 percentage points and 1.28 percentage

points, respectively.

By total price, the proportions of properties priced below RMB 3 million increased

across the board. The proportions of properties priced RMB 3-5 million fell by 4.89

percentage points.

5. Inventory Change

As of end-July 2015, the city’s first-hand residential inventories totaled 82,830 units,

a slight increase of 67 units compared with last month.

30000

40000

50000

60000

70000

80000

90000

100000

Jul Nov Mar Jul Nov Mar July

UnitsChange of Shanghai Residential Inventory, July 2013~July 2015

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URBAN VIEW -13-

Urban Analysis——Second-hand Residential Market 1. Transaction Volume and Price

In July, the city’s second-hand residential transaction volume totaled 31,835 units,

dropping by 5.06% MoM and soaring by 182.63% YoY; the average price signed on the

Internet was RMB 24,887/sqm, up by 0.65% MoM and 21.65% YoY.

2. Transaction Volume by District

By district, among the 19 districts in Shanghai, only 3 districts seeing MoM increase in

transaction volume, namely, Chongming, Baoshan and Fengxian, all of which were

suburban districts. There were 16 districts seeing decrease in transaction volume, 1 more

than the number in last month. The decreases ranged from 0.44% to 22.5%. Central

districts, such as Huangpu, Luwan, Xuhui, Jing’an, saw comparatively larger decrease.

15,000

18,000

21,000

24,000

27,000

30,000

0

5,000

10,000

15,000

20,000

25,000

30,000

35,000

40,000

14-7 14-8 14-9 14-10 14-11 14-12 15-1 15-2 15-3 15-4 15-5 15-6 15-7 RMB/m2

Transaction Volume and Price of Second-hand Housing

Transaction volume (unit) Average transaction price (RMB/㎡)

Units

-25.00%

-20.00%

-15.00%

-10.00%

-5.00%

0.00%

5.00%

10.00%

0

1,000

2,000

3,000

4,000

5,000

6,000

7,000

Baoshan

Changning

Chongming

Fengxian

Hongkou

Huangpu

Jing'an

Jiading

Jinshan

Luwan

Minhang

Nanhui

Pudong

Putuo

Qingpu

Songjiang

Xuhui

Yangpu

Zhabei

UnitsTransaction Volume of Second-hand Residential Housing by District, June vs July 2015

June July MoM

Average MoM

Growth

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URBAN VIEW -14-

3. Hot Sections

Top 10 sections in terms of MoM increase in secondhand residential transaction volume in July 2015

Rank District Section No. of Units

Transacted MoM YoY

1 Chongming Chongming 199 30.92% 30.07% 2 Fengxian Haiwan 110 22.22% 96.43% 3 Baoshan Yuepu 295 18.00% 180.95% 4 Baoshan Yanghang 383 16.77% 303.16% 5 Jiading Nanxiang 209 15.47% 354.35% 6 Fengxian Fengcheng 63 14.55% 23.53% 7 Pudong Jinqiao 1138 11.57% 227.95% 8 Pudong Waigaoqiao 589 10.71% 342.86% 9 Baoshan Songnan Gaojing 505 10.02% 238.93%

10 Jinshan Fengjing 54 8.00% 58.82%

4. VISS Base Price

According to the statistics of VISS system,

in July 2015, the city’s mean of residential

quarters was RMB 30,789/sqm, up by

1.61% MoM and 5.02% YoY; the city’s

median of residential quarters was RMB

31,431/sqm, up by 1.39% MoM and 4.77% YoY.

From the view of regional base prices on a monthly basis, in July, all the districts saw

growth varying from 0.30% to 2.39%. The three-month overall increase showed that the

real estate market had fully rallied, and the market was expected to achieve a stable

performance while at the same time securing progress.

BS CN CM FX HK HP JA JD JS LW MH NH PD PT QP SJ XH YP ZB

June 2015 1.65% 1.47% 0.90% 0.28% 1.63% 1.58% 1.17% 1.51% 0.19% 1.45% 1.23% 1.26% 1.60% 1.89% 0.90% 1.02% 1.29% 1.92% 1.55%

July 2015 2.39% 1.69% 0.81% 0.98% 1.98% 1.67% 2.39% 1.15% 0.30% 0.90% 1.38% 1% 1.70% 1.50% 0.44% 1.16% 1.63% 2.01% 1.65%

0.00%

0.50%

1.00%

1.50%

2.00%

2.50%

3.00%MoM Change of Base Price by District, June 2015 vs July 2015

Mean Median

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URBAN VIEW -15-

In this month, there were 3 districts seeing a MoM increase in base price over 2%,

namely, Baoshan, Jing’an and Yangpu.

By section, there were 119 sections seeing growth of base price, and only Waigaoqiao

and Haiwan sections suffered from decline, but the average decrease narrowed.

5. Transaction Structure

Top 5 sections in terms of increase Top 5 sections in terms of decrease

Songbao

Caojiadu

Tangqiao

Zhangmiao

New JiangwanTown

25,599 26,384 3.06%

45,179 46,557 3.05%

38,991 40,174 3.03%

27,770 28,586 2.94%

40,407 41,584 2.91%

Waigaoqiao

Haiwan

23,988 23,960 0.11%

8,997 8,988 0.09%

below 7041.34%

70-9023.45%

90-12019.10%

120-1509.90%

150-1802.93%

180-3002.85%

above 3000.44%

Transaction Structure Second-hand Housing by Area, July 2015

below 0.5m4.96% 0.5m~1m

14.06%

1m~1.6m27.78%

1.6m~2m13.81%

2m~3.3m24.45%

3.3m~5m8.73%

above 5m6.21%

Transaction Structure of Second-hand Housing by Total Price, July 2015

below 7041.37%

70-9022.61%

90-12019.56%

120-1509.98%

150-1802.96%

180-3003.02%

above 3000.50%

Transaction Structure Second-hand Housing by Area, June 2015

below 0.5m4.54% 0.5m~1m

14.28%

1m~1.6m27.55%

1.6m~2m13.61%

2m~3.3m24.39%

3.3m~5m9.33%

above 5m6.30%

Transaction Structure of Second-hand Housing by Total Price, June 2015

m = million

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URBAN VIEW -16-

By total price, in July, the transaction proportions of second-hand properties priced below

RMB 2 million rose slightly while the transaction proportions of second-hand properties

priced 3.3-5 million dropped by 0.6 percentage points.

By area, only the proportion of properties with an area of 70-90 sqm expanded by 0.84

percentage points, hitting a new high for the year. The proportions of properties with

other areas declined to different extent. Based on these movements, we could know that

rigid demand recovered while move-up demand reduced on the second-hand residential

market in July.

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URBAN VIEW -17-

Urban Analysis——Retail / Office Market 1. Supply

1) Monthly Retail / Office Supply

The new supply of retail properties totaled 308,000 sqm, staying at the high level. The

office supply rebounded to 546,000 sqm, a MoM surge of 69%.

2) Retail / Office Supply by District

In terms of the new supply in office sector, Minhang led the ranking of supply volume

with 179,000 sqm, accounting for more than 30% of the total. Jiading and Pudong were

the No.2 and No. 3, with 52,000 sqm and 50,000 sqm supplied, respectively. In retail

sector, Pudong won the No. 1 with 66,000 sqm listed, followed by Jinshan with 62,000

sqm supplied.

0

10

20

30

40

50

60

14-07 14-08 14-09 14-10 14-11 14-12 15-01 15-02 15-03 15-04 15-05 15-06 15-07sqm

Trend of Retail / Office Supply

Retail property Office property

x 10

000

0.0

2.0

4.0

6.0

8.0

10.0

12.0

14.0

16.0

18.0

20.0

Baoshan

Fengxian

Huangpu

Jiading

Jinshan

Minhang

Pudong

Qingpu

Songjiang

Xuhui

Yangpu

Zhabei

sqm

Retail / Office Supply by District, July 2015

Retail property Office property

x 10

000

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2. Transaction Volume

1) Monthly Retail / Office Transaction Volume

In July, the office transaction volume jumped to 347,000 sqm, reaching a new high for

the recent 18 months. The retail transaction volume totaled 139,000 sqm. Despite of the

MoM decrease, it is still the second highest within the year.

2) Retail / Office Transaction Volume by District

By district, Pudong, Zhabei and Putuo were the top three in the office sector, with 72,400

sqm, 60,000 sqm and 44,000 sqm transacted, respectively. In the retail sector, Pudong

was also the No. 1, with 37,000 sqm transacted. Yangpu ranked No. 2, with 26,000 sqm

transacted.

0

5

10

15

20

25

30

35

40

14-07 14-08 14-09 14-10 14-11 14-12 15-01 15-02 15-03 15-04 15-05 15-06 15-07sqm

Trend of Retail / Office Transaction Volume

Retail property Office property

x 10

000

0.0

1.0

2.0

3.0

4.0

5.0

6.0

7.0

8.0

Baoshan

Changning

Chongming

Fengxian

Hongkou

Huangpu

Jiading

Jinshan

Luwan

Minhang

Pudong

Putuo

Qingpu

Songjiang

Xuhui

Yangpu

Zhabei

sqm

Retail / Office Transaction Volume by District, July 2015

Retail property Office property

x 10

000

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3. Transaction Price

Compared with last month, the average transaction price of retail and office properties

basically kept flat in this month. The average price of retail properties was RMB

21,861/sqm, a MoM drop of 0.3%. The average price of office properties was RMB

26,288/sqm, a MoM increase of 1.1%.

4. Inventory Change

In July, the office inventories increased significantly to 8,850,000 sqm. The retail

inventories totaled 9,607,800 sqm and the supply-to-demand ratio reached 2.21.

0

5000

10000

15000

20000

25000

30000

35000

40000

14-07 14-08 14-09 14-10 14-11 14-12 15-01 15-02 15-03 15-04 15-05 15-06 15-07RMB/sqm

Trend of Average Transaction Price

Retail property Office property

400

500

600

700

800

900

1000

sqm

Monthly Change of Retail / Office Inventory

Retail property Office property

x 10

000

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Cost of Construction Materials

Prices of steel, cement, yellow sand and commodity concrete in July 2015

No. Material name June 2015 July 2015 Increase or decrease

1 Wire price (Φ8mm) (RMB/ton) 2,391.67 2,292.00 -4.35%

2 HRB400 rebar (18mm) (RMB/ton) 2,229.33 2,091.75 -6.58%

3 HRB400 Rebar (25mm) (RMB/ton) 2,249.33 2,111.75 -6.52%

4 Ordinary Portland cement (strength grade

42.5) (RMB/ton) 286.67 280.00 -2.38%

5 Yellow Sand (medium-coarse)

(RMB/ton) 64.67 59.25 -9.14%

6 Pump Concrete C30 (particle size 5-25)

(RMB/m³) 347.33 343.00 -1.26%

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Construction Cost Analysis Indicators

I Project Summary

Project name XX middle school building GFA 31,663 m2

Project location

Changning District – between

the Inner and Middle Ring

Roads

Height

20.8 m (the first floor is

4.2 m, the typical floor is

4 m

Structure type Frame structure Total

floors

5 floors aboveground and

1 floor basement

Function Teaching building Method of

charging

Charge by BOQ, prices

from 2012.05

II Construction Cost Indicators

No. Item Total cost (RMB) Index per sqm

(RMB/m2) Percentage

Cost for engineering

& installation 120,548,000.00 3,807.22 100.00%

I Engineering works 54,939,900.00 1,735.15 45.58%

1 Soil (Stone) works 3,251,000.00 102.68 2.70%

2 Piling & foundation

(incl. soil protection) 2,893,600.00 91.39 2.40%

3 Masonry 2,853,500.00 90.12 2.37%

4 Concrete and rebar

concrete 31,504,300.00 994.99 26.13%

5 Metal structure 563,200.00 17.79 0.47%

6 Roofing &

waterproofing 4,579,600.00 144.64 3.80%

7

Anti-corrosion,

insulation, thermal

insulation

9,294,700.00 293.55 7.71%

II Decoration works 32,681,200.00 1,032.16 27.11%

1 Ground & floor 6,490,300.00 204.98 5.38%

2 Doors and windows 4,050,300.00 127.92 3.36%

3 Cylinder & wall 13,892,100.00 438.75 11.52%

4 Ceiling 3,245,700.00 102.51 2.69%

5 Paints, coatings, wall

paper 2,475,500.00 78.18 2.05%

6 Other works 2,527,300.00 79.82 2.10%

III Installation works 14,705,900.00 464.45 12.20%

1 Electrical Engineering 9,432,400.00 297.90 7.82%

2 Water supply & 1,608,200.00 50.79 1.33%

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drainage and gas

3 Firefighting works 2,566,600.00 81.06 2.13%

4 Ventilation and air

conditioning works 162,500.00 5.13 0.13%

5 Intelligence works 936,200.00 29.57 0.78%

IV Measure fees 17,200,200.00 543.23 14.27%

V Others (Maincon

service fee) 1,020,800.00 32.24 0.85%

Shanghai Urban Construction Cost Consulting Co. Ltd.

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Industry Focus

Is “90/70” policy about to end?

“90/70” policy will impede the development of the market. The

decision-making power should come back to the market.

“90/70” policy once brought positive impacts but is no longer

suitable now.

Cancelling “90/70” policy can help de-stocking.

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Is “90/70” policy about to end?

Although the real estate market of a few first and second-tier cities saw rebound, for

many local governments in where have inventories, their primary goal was still selling

the inventories and stabilizing the investment. In addition to relaxing the price limitation

and purchase limitation policies, another important regulating policy – mandatory

percentage requirement for the GFA per unit – was also gradually cancelled. According

to incomplete statistics, more than 10 provinces have promulgated policies to cancel the

“90/70” policy which has been implemented for about 10 years.

Meanwhile, at the end of March, the Ministry of Land and Resources and the Ministry

of Housing and Urban-Rural Development issued a notice firstly setting forth

“optimizing the unit size in housing supply. And allowing adjusting those unit sizes of

commodity housing not satisfying market demand based on the market conditions and

without changing the essential planning factors such as land usage, plot ratio to support

residents’ self-occupation demand and move-up demand.” The promulgation of this

notice made people think is it paving the way for the cancellation of “90/70”policy? In

this section, our discussion will revolve around the possible cancellation of “90/70”.

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Urban View:

Shao Minghao

Project Director

Shanghai Urban Real Estate Appraisal Co., Ltd.

“90/70” policy started from May 2006, nine ministries including the former Ministry of

Construction set forth the “90/70” policy by issuing the Opinion on Restructuring

Housing Supply and Stabilizing Housing Price. It required that units smaller than 90

sqm should account for over 70% of a newly built residential project. The promulgation

of this policy brought significant impacts on the then-current real estate development,

especially on the residential real estate development. Some proposed luxury projects

with large units were forced to be changed to small-unit projects. This made the supply

number of home units see sharp increase within a certain period. The administration’s

objective of increasing the supply units of housing within a short time while not

increasing the land supply was achieved to some extent.

However, because this is a “one size fits all” policy, many regions failed to acclimatize.

For example, the home buyers in the north China prefer large-sized units so those

small-sized units have low marketability. Considering the various weaknesses of the

policy, developers took some measures. As a result, this policy existed in name only.

Therefore, the optimization of “90/70” policy in the recently-released Notice on

Optimizing the Structures of Housing and Land Supply in 2015 to Promote the Stable

and Sound Development of Real Estate Market was welcomed by market participants

and some local governments even took this opportunity to expressly cancel the “90/70”

policy.

The real estate market in 2006 was quite different from the market in 2015. The

difference lay not only in that the situation of commodity residential market shifted from

absolute shortage to relative surplus but also in that the commodity residential and

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affordable residential market systems were separated from a former combination. The

commodity residential market is regulated by the market while the affordable residential

market is administrated by the government. Based on this difference, the “90/70” policy

should not be simply cancelled. It should exit from the commodity residential market

but should be strengthened on the affordable residential market. As the affordable

residential market is a more rigid market, which is closer to basic housing demand, it

needs “90/70” policy to guarantee the supply. However, the affordable housing supply in

many cities still suffers from the conflict between the overlarge size of units and the

deficiency in units. Therefore, the “90/70” policy should be carried out as a long-term

mechanism in the affordable housing sector.

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In-Depth Observation

To promote the informatization of appraisal industry, a unified data

standard shall be in place first

The reasons of low informatization level in appraisal industry

Internal impetuses and external conditions to achieve a unified data

standard in appraisal industry

Main content of unified data standard

Prospects of unified data standard

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To promote the informatization of appraisal industry, a unified

data standard shall be in place first

I. The reasons of low informatization level in appraisal industry

With the increasing impact of big data on real estate industry, the real estate appraisal

sector also started the work of informatization. However, many appraisal companies

have accumulated considerable number of data but cannot use them directly or reflect

their real value. The reasons include:

1. Lack of effective paths for data mining

Currently, the phenomenon of “abundant data, scare information” is very common.

The massive data which are growing rapidly are collected and stored in large

database. However, for lack of powerful analytic tools, a large part of the data is

buried in the “data tomb”.

2. Failure to achieve information sharing

Data sharing is the basic demand of informatization. In addition to the development of

hardware and software, the processing of data is also an essential part of

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informatization. The unified data standard is just used to solve the problem of data

processing to achieve data sharing.

Since there is no unified data standard in the industry yet and the systems and

databases built by different appraisal companies are not compatible, the industry is

not able to achieve information sharing at present stage.

3. Low informatization level in the industry

The level of informatization is related to the future development of the whole

industry. In decades of years, the appraisal industry has gone through rapid

development and established a filing system for valuation repots, however, the

valuation process is still manual-operated. Now, although many appraisal companies

have begun to develop their own valuation system, these systems cannot be widely

transplanted and promoted for lack of a unified data standard. As a result, the

information level of the industry cannot be improved.

All these problems ultimately are the issue of data standard. Only on the basis of a

unified data standard can a trans-regional database be established. Only when the

database was established can the data be effectively stored. Only with an

accumulation of large volume of data can the effective information be well mined.

II. Internal impetuses and external conditions to achieve a unified

data standard in appraisal industry

Data are equally important from both practical perspective and management

perspective. To reasonably use and effectively mine data, a trans-industry and

trans-regional database and an informatization platform need to be built up. The first

thing to do is establishing a unified data standard.

Data standard is the foundation of informatization platform. The software developer

can use the unified data standard to develop the informatization systems of different

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divisions for different purposes. Because the basis – the data standards – of these

systems is unified, these systems can achieve mutual docking and compatible

application in a comprehensive way, and finally achieve the goal of information

sharing. However, for now, there are 5 data standards under implementation

nationwide in the real estate industry, but actually only one of them deserve to be

called standard, that is, GB/T 19231-2003 Basic Terminology of Land. It may serve for

land science and land management rather than the foundation of informatization

platform.

In most areas of our country, housing ownership and land ownership are separately

administrated, which cause the failure to unify data standards and the inconsistency of

registration. The difference of data intension impedes the analysis of data in different

databases and thus the value of data cannot be achieved.

III. Main content of unified data standard

This unified data standard is formulated on the basis of the principles in GB/T

1.1-2009 Guidance of Standardization Part I: Structure of Standard and Its

Formulation.

1. Determination of scope

Our scope includes the classification method, coding system and the structuring of

data.

2. Data classification code

Based on the attributes and characteristics of the data, in this standard, we classify

data into five tiers through linear classification method. The tier code is composed of

two digits as follows:

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Table 1 Data classification and coding system

×× ×× ×× ×× ×× First

classification Second

classification Third

classification Fourth

classification Fifth

classification

The code shall meet the requirements of table 2. The length shall be 10 digits, and 0

should be used if there is any absent at the end of the code.

Table 2 Classification and coding table

Code No. 1st classification 2nd classification 3rd

classification

4th

classification

5th

classification

010000000

0

Data of major

participants

010100000

0

Data of industry

association

010101000

0

Basic information

of industry

association

010102000

0

Basic information

of personnel of

industry association

010103000

0

Notification from

industry association

010200000

0

Data of appraisal

company

010201000

0

Basic information

of appraisal

company

010202000

0

Review record of

appraisal company

010300000

0 Data of appraiser

010301000

0

Basic information

of appraiser

010302000

0

Credit record of

appraiser

010303000

0

Continuing

education record of

appraiser

020000000 Business data

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0

…… …… …… …… …… ……

050200000

0

Documents and

regulations

050201000

0

Policies, laws and

regulations

050202000

0 Document template

3. Data Structure Table

The table name of each category of data is the acronym of Chinese Pinyin in capital

form.

Table 1-1-1 Data structure of the basic information of industry association

No. Field Name Field

Code

Field

Type

Field

Length

Number of

decimal

places

Range Constraint

condition

1 ID of industry

association HYXHID Integer

>0 Mandatory

2 Industry type XHLX Short

A199 dictionary

table of association

type

3 NGO or not SFMJZZ Boolean

4

Registered

according to law

or not

SFYFDJ Boolean

5 Association

name

XHM

C String 50

Mandatory

6 Association

abbreviation XHJC String 20

7 Scope of

jurisdiction

GXF

W String 100

8 Scope of

business

YWF

W String 500

9 Profit model YLMS String 100

10 City SZCS String 6

A1distionary

table of districts

and counties

Mandatory

11 Office

address BGDZ String 200

12 Zip code YZBM String 10

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13 Contact

person LXR String 50

14 Telephone LXDH String 50

Multi-valued

15 Fax CZ String 50

Multi-valued

16 Email DZYJ String 50

17 Website WZ String 50

18 Operational

status YYZT Short

A166 dictionary

table of appraisal

company’s status

19 Date of

establishment CLRQ Date

20 Remarks BZ String 2000

Table 3-2-2-2-3 Data structure of public facilities of Qiu (table name: QGGSS)

No. Field Code Field Code Field Type Field

Length

Number

of

decimal

places

Range Constraint

condition

1 Public facilities

ID of qiu QGGSSID Integer

>0 Mandatory

2 Code of qiu QBM String 20

3 Number of

markets within X km

CCS Number 6

4 …… …… …… …… …… …… ……

7 Number of

supermarkets within X km

CSS Number 6

8 …… …… …… …… …… …… ……

11 Number of

shopping malls within X km

DMCS Number 6

12 …… …… …… …… …… …… ……

15 Number of

banks within X km

YHS Number 6

16 …… …… …… …… …… …… ……

19 Number of

schools within X km

XXS Number 6

20 …… …… …… …… …… …… ……

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23 Number of post offices within X

km YJS Number 6

24 …… …… …… …… …… …… ……

27 The nearest

general hospital ID

ZJZHYYID Integer

28 …… …… …… …… …… …… ……

34 Status ZT Short

A47 dictionary

table of status

Mandatory

4. Dictionary Table

A.1~A.212 list the dictionary table used in this standard. Each dictionary table shall

include three fields. Once the dictionary table is finalized, revision will not be

allowed. New codes cannot be the same as the existing ones.

For example, A. 197 dictionary table of land nature codes is formulated based on the

Code for Classification of Urban Land Use and Planning Standards of Development

Land GB50137-2011.

Code Name H Construction land H1 Urban and rural construction land for settlement H11 Urban construction land H12 Town construction land H13 Township construction land H14 Village Construction land H2 Land for regional transportation facilities H21 Railway land …… …… 98 Others 99 Not clear

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IV. Prospects of unified data standard

The formulation of the unified data standard commences from the basis. Through

building the most basic units – Shanghai Land Valuation Data Standard – with the

help of innovative computer hardware, network system, information technology, and

following the principles of “resources sharing and information exchange”, we aim to

provide a foundation for the construction of an industry database and comprehensive

land information system integrating information such as land type, location, area,

layout, ownership, administration. At the same time, we hope that the unification of

land valuation data standard can facilitate the data integration, enhance the data

mining technology, improve the data analytical technique in the industry and broaden

the land valuation businesses.

Of course, the foregoing proposal of the unified data standard is just a theoretical

study, which must be enriched and deepened with the practice. However, the

development direction of unifying data standards in the valuation industry is correct.

The coming of big data era brings both opportunities and challenges to the land

valuation industry and even to the whole land industry. The future development of

land industry will be tightly bonded to “big data”. “Big data” is a kind of data

resources useful to various demands instead of simple storage of massive data.

Unifying data standards is the first step of converting data into data resources. We

believe that as the issue of unifying data standards gains increasing attention, the

foregoing unified data standard will be continuously improved and make due

contribution to the informatization of appraisal industry.

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News Guidance

New Advertising Law coming soon

Controlling home price is a key objective of real estate regulation

Real estate enterprises explore the bond market

Who shall pay for the frequent building collapse

Wanda plans to slash 40 dept stores amid transformation

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Policy New Advertising Law coming soon

The newly amended Advertising Law will take effect as of September 1, 2015. The

revised version stipulates that in real estate advertisements, the listing information

should be authentic, the area information should be specified as gross floor area or

gross internal floor area, and the advertisement is not allowed to include the following

content: commitment on appreciation or ROI, terms violating the state provisions on

price administration, and misleading marketing of transportation, commercial, cultural

& educational facilities or other infrastructures. In addition, real estate advertisements

are not allowed to include any content of feudal superstitions, such as feng shui and

divination, or any commitment on household registration, employment and school

enrollment.

Urban View:

Nowadays, in addition to be more and

more eye-catching, beneficial

temptation has also become a focus of

project marketing. However,

developers often register a project

company for a specific project. After

the selling activity ends, the project

company will be cancelled while the

developer cannot meet the

commitment, which is the reason why

there are so many complaints in real estate industry. The new advertising law

legislates for the rules and regulations not implemented in the field of real estate

advertisement. In the future, there will be laws to abide by in real estate advertising,

which is a step forward to some extent.

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Policy Controlling home price is a key objective of real estate regulation

At the Ninth Plenary Session of the Tenth Shanghai Committee of CPC, Hanzheng,

the Secretary of Shanghai Municipal Committee of the CPC said in his speech that

“we shall keep an eye on the trend of real estate market, support people’s rigid

demand for housing for personal use and second homes while firmly implement

purchase limitation policy and curb speculative demand to prevent irrational purchase

driven by speculation. The home price in Shanghai has been very high; therefore,

controlling the home price is an important objective of Shanghai’s real estate

regulation for stable and sound development.”

Urban View:

Different form the real

estate regulation in the

form of administrative

order in the previous years,

this regulation adopted

public opinion guidance

plus the way of tightening

related policies. The

reasons include two: one is that the real estate market has not come into an

uncontrollable situation yet so mild regulation is more beneficial to market stability

without drastic fluctuations; the other one is that the real estate market currently is

still an important pillar supporting real economy so it remains a sector to be protected

in the throes of economic recovery. Based on these two points, the current situation

will continue in a certain period. If there is no significant uptrend, the government is

unlikely to provide pressures on the real estate market.

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Finance Real estate enterprises explore the bond market

According to incomplete

statistics, in July, there were 28

listed real estate enterprises

announcing their financing

plans, which totaled RMB 139.7

billion. Notably, the financing

plans of Evergrande, Wanda

Commercial, Longhu, Vanke,

BCDC, Risesun, and Calxon all exceeded RMB 5 billion.

Urban View:

There are many financing channels at home and abroad for real estate enterprises,

especially those large-scale listed real estate enterprises. Why did corporate bonds

become so popular recently? Mainly because it was a less difficult and costly way.

The attention of real estate enterprises to financing cost came from the overall decline

of profits in the real estate industry. During the “golden ten years” of real estate

market with high-speed development, the profit margin of many listed real estate

enterprises could reach 30%. However, with the rapid rise of land price and the

growth of various costs for development and construction as well as the regulation of

home price, the profit margin of some real estate enterprises now has declined below

20%. Of course, the popularity of corporate bonds has much to do with the

stock-market turbulence. The stability of corporate bonds was thus highlighted during

this period and attracted many conservative investors. As the market size of corporate

bonds grows, the participation of appraisal companies will be needed to provide more

specialized services for the issuance and valuation of corporate bonds.

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Market Who shall pay for the frequent building collapse

On July 27, a building completed in 1980 in Hangzhou collapsed, which drew the

public’s attention to housing quality again. This collapse was not an individual case.

On June 9, a residential building in Guizhou collapsed. On July 4, a shoe factory in

Zhejiang collapsed and 14 persons died. On July 6, the balcony of an apartment unit

on the 7th floor suddenly collapsed.

Urban View:

According to design code, the designed life of ordinary residential housing is 50

years. However, for various reasons, the actual service life is always lower than the

designed one. It is also said that the service life of some residential housing (namely,

those completed before 1985) may be only 30 years. Taking Shanghai as example, if

the maximum service life is 30 years, according to incomplete statistics, more than

one million units will become so-called “dilapidated housing” in these years,

accounting for over 15% of the inventory housing in Shanghai. Therefore, building

collapse is truly a social issue cannot be neglected.

Shanghai’s exploration in the renovation of old buildings is worth learning. The

reconstruction and expansion of old buildings and the rebuilding of dilapidated

buildings after demolition do not only solve the problem of dilapidated buildings but

also improve the residents’ living environment and city appearance.

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Market

Wanda plans to slash 40 dept stores amid transformation

Recently, Wanda Group announced internally that it would shave off more than 40

department stores running at a heavy loss in Jinan, Tangshan, Jiangmen, Wenzhou,

Shenyang, Jingzhou, etc., and would reduce the area of some stores in Shanghai,

Quanzhou, Xiangyang, etc. According to some statistics, there have been over 90

Wanda department stores nationwide. Wanda replied that it was a normal adjustment

amid Wanda’s fourth transformation. Wanda would cut its reliance on the traditional

businesses and shift its focus to more promising businesses such as culture, tourism,

sports.

Urban View:

Although Wanda said the

closure of stores was related to

its strategic arrangement, we

think the underlying reason

was the decline of profits from

department stores, which was

also the primary cause of its

transformation.

Actually, under the negative

impacts of e-commerce and

high costs of human resources and rental, Wanda was not the first large mall closing

its department stores. Many international giants of department store sector, including

Parkson, Marks & Spencer, Wal-Mart, also started to close part of their stores in

China.

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URBAN VIEW -42-

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integrated analysis and only for reference. We do not take any legal responsibility

for its accuracy.

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