The Dynamic Impacts of Employment Subcenters on Residential Land Price in Transitional China: An Examination of the Beijing Metropolitan Area
Abstract
:1. Introduction
2. Literature Review
3. Research Area, Data, and Methods
3.1. Research Area
3.2. Research Data
3.3 Methods
3.3.1. Determination of Employment Subcenters
3.3.2. The Hedonic Model
- Model 1: Only consider the distance from each land parcel to Tiananmen (Monocentric city model).
- Model 2: Consider the distance from each land parcel to the nearest employment subcenter (Polycentric city model).
- Model 3: Consider the distance from each land parcel to each employment subcenter (Polycentric city model).
- Model 4: Consider the limited impact of the employment subcenters, which is improved in model 3 by establishing a virtual variable, “whether the distance from the employment subcenters is within 10 km.”
4. Temporal and Spatial Variation Characteristics of the Residential Land Market
4.1. Temporal Variation Characteristics of Residential Land Market
4.2. The Spatial Variation Characteristics of Residential Land Market
5. Determination of Employment Subcenters
5.1. Selection of Potential Employment Subcenters
5.2. The Identified Employment Subcenters
6. The Impact of the Evolution of the Employment Subcenters on the Price of Residential Land
6.1. Results from the Models
6.2. Changes in Tiananmen’s Impact on Residential Land Price
6.3. The Influence of the Nearest Neighboring Sub-Centers
6.4. The Impact of Various employment Subcenters and the Scope of the Impact
7. Conclusions and Discussion
Acknowledgments
Author Contributions
Conflicts of Interest
References
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Period | Number of Residential Land Parcels | Area of Residential Land Parcels |
---|---|---|
2001–2004 | 76.93 | 70.03 |
2005–2008 | 81.60 | 73.58 |
2009–2013 | 83.55 | 78.95 |
Residential Land Transaction Period | Corresponding Subway Opening Date | Corresponding Subway Lines Opened |
---|---|---|
2001, 2002 | Before 2001 | Lines 1 and 2 |
2003—2006 | 2003 | Line 13 and Batong Line |
2007 | 2007 | Line 5 |
2008 | 2008 | Line 8 (Beitucheng—South Gate of Forest Park) |
Phase one of Line 10 | ||
Airport line | ||
2009 | 2009 | Line 4 |
2010 | 2010 | Changping line, Daxing line, Fangshan line, Yizhuang line |
Line 10 (Wangjing west station to Sha Yu station) | ||
2011 | 2011 | Line 8 (Beitucheng—Huilongguan East Street) |
Line 9 (Guogongzhuang—Beijing West Railway Station) | ||
2012 | 2012 | Line 8 (Gulou Street-Beitucheng) |
Line 9: the whole line opening | ||
2013 | 2013 | Line 8: the whole line opening |
Line 10: the whole line opening |
Dependent Variable | Express | Type | Description | |
---|---|---|---|---|
Unit price of residential land | Price | Successive | Ratio of land transaction price to parcel land area | |
Variable Classification | Independent Variable | Variable | Type | Description |
Constant | Constant | |||
X1 | Parcel area | SIZE | successive | Area size of parcels |
floor area ratio | FAR | successive | Plot ratio of the parcel | |
The auction approach | AUC | dummy | The auction is for auction | |
Mixed-use | MIXED | dummy | Mix commercial facilities or public construction facilities | |
The degree of land development | FIV-DEV | dummy | Above five links and one leveling | |
X2 | Distance to the nearest subway station | 𝐷subway | successive | Shortest distance from the parcel to the nearest subway station |
Distance to the nearest park | 𝐷𝑝𝑎𝑟𝑘 | successive | Comprehensive parks and exclusive parks with green spaces | |
Distance to the nearest key primary or secondary school | 𝐷school | successive | Public key primary or secondary schools | |
X3 | Distance to Tiananmen | 𝐷TAM | successive | Shortest distance between the parcel and Tiananmen |
Distance to employment subcenter | 𝐷sub | successive | Straight-line distance between the parcel and the nearest employment subcenter | |
X3’ | Distance to employment sub center is less than 10 km | 𝐷sub10 km | dummy | The parcel is within the range of 10 km of the employment subcenter |
N | Express | Unit | Average | Standard Deviation | Minimum Value | Maximum Value | |
---|---|---|---|---|---|---|---|
1694 | Price | yuan/m2 | 1040.22 | 4777.24 | 200.74 | 65,774.65 | |
N | Express | ||||||
X1 | 1694 | SIZE | m2 | 26,642.63 | 49,074.05 | 54.00 | 657,487.00 |
1694 | FAR | —— | 3.73 | 2.52 | 0.19 | 19.00 | |
1694 | AUC | —— | —— | —— | —— | —— | |
1694 | MIXED | —— | —— | —— | —— | —— | |
1694 | FIV-DEV | —— | —— | —— | —— | —— | |
X2 | 1694 | 𝐷subway | km | 4.60 | 4.18 | 0.02 | 30.38 |
1694 | 𝐷𝑝𝑎𝑟𝑘 | km | 5.11 | 4.70 | 0.01 | 26.21 | |
1694 | 𝐷school | km | 3.21 | 3.57 | 0.02 | 23.60 | |
X3 | 1694 | 𝐷TAM | km | 12.22 | 6.34 | 1.09 | 38.18 |
1694 | 𝐷sub | km | 8.41 | 5.47 | 0.46 | 33.77 | |
X3’ | 1694 | 𝐷sub10 km | —— | —— | —— | —— | —— |
N | Express | Unit | Average | Standard Deviation | Minimum Value | Maximum Value | |
---|---|---|---|---|---|---|---|
164 | Price | yuan/m2 | 7090.36 | 7296.02 | 967.76 | 40,558.33 | |
N | Express | ||||||
X1 | 164 | SIZE | m2 | 97,167.79 | 93,523.95 | 1724.00 | 638,002.50 |
164 | FAR | —— | 2.16 | 0.79 | 0.01 | 5.77 | |
164 | AUC | —— | —— | —— | —— | —— | |
164 | MIXED | —— | —— | —— | —— | —— | |
164 | FIV-DEV | —— | —— | —— | —— | —— | |
X2 | 164 | 𝐷subway | km | 9.02 | 8.13 | 0.24 | 29.20 |
164 | 𝐷𝑝𝑎𝑟𝑘 | km | 1.33 | 0.99 | 0.07 | 5.76 | |
164 | 𝐷school | km | 8.44 | 6.90 | 0.14 | 26.41 | |
X3 | 164 | 𝐷TAM | km | 20.15 | 10.01 | 1.70 | 43.42 |
164 | 𝐷sub | km | 15.92 | 9.19 | 0.80 | 42.89 | |
X3’ | 164 | 𝐷sub10km | —— | —— | —— | —— | —— |
N | Express | Unit | Average | Standard Deviation | Minimum Value | Maximum Value | |
---|---|---|---|---|---|---|---|
259 | Price | yuan/m2 | 15,200.68 | 15,687.07 | 845.33 | 96,440.87 | |
N | Express | ||||||
X1 | 259 | SIZE | m2 | 82,285.16 | 58,531.27 | 3983.00 | 330,159.00 |
259 | FAR | —— | 2.13 | 0.67 | 0.62 | 5.00 | |
259 | AUC | —— | —— | —— | —— | —— | |
259 | MIXED | —— | —— | —— | —— | —— | |
259 | FIV-DEV | —— | —— | —— | —— | —— | |
X2 | 259 | 𝐷subway | km | 2.97 | 2.76 | 0.11 | 14.72 |
259 | 𝐷𝑝𝑎𝑟𝑘 | km | 1.11 | 1.01 | 0.05 | 4.44 | |
259 | 𝐷school | km | 4.30 | 4.84 | 0.02 | 26.41 | |
X3 | 259 | 𝐷TAM | km | 21.90 | 9.19 | 2.86 | 46.08 |
259 | 𝐷sub | km | 12.79 | 6.58 | 0.51 | 31.79 | |
X3’ | 259 | 𝐷sub10 km | —— | —— | —— | —— | —— |
Period | 2001–2004 | 2005–2008 | 2009–2013 |
---|---|---|---|
Total number of parcels (blocks) | 1694 | 164 | 259 |
Parcel total area (km2) | 44.9 | 15.6 | 21 |
Planning gross floor area (km2) | 106.1 | 29.5 | 40.9 |
Total transaction price (100 million yuan) | 467 | 1095 | 3192 |
Average unit price (yuan/m2) | 1040 | 7090 | 15,200 |
Year | Employment Sub-Centers | Scholars | Number of Studies |
---|---|---|---|
2001 | CBD | GuYizhen [51], Qin Bo [15], ZouYonghua [36] | 3 |
Financial Street | Null | 0 | |
Zhongguancun (including Haidian Street and Shangdi Street) | GuYizhen [51], Qin Bo [15], ZouYonghua [36], Wang Wei [52] | 4 | |
Olympic Park | Qin Bo [15] | 1 | |
2004 | CBD | GuYizhen [51], Wang Wei [52], Zhou Haiyan [53], Xiao Yizhuo [54], ZouYonghua [36], Qin Bo [15] | 6 |
Financial Street | Xiao Yizhuo [54], Wang Wei [52] | 2 | |
Zhongguancun | GuYizhen [51], Sun Tieshan [18], Wang Wei [52], Zhou Haiyan [53], LvYongqiang [55], Xiao Yizhuo [54], ZouYonghua [36], Qin Bo [15] | 8 | |
Olympic Park | ZouYonghua [36], Qin Bo [15], LvYongqiang [55] | 3 | |
Gucheng Street in Shijingshan | GuYizhen [51], Sun Tieshan [18] | 2 | |
Tongzhou New Town (Xinhua Street) | GuYizhen [51], Sun Tieshan [18], Wang Wei [52], LvYongqiang [55] | 4 | |
Shunyi New Town (Capital Airport) | GuYizhen [51], Sun Tieshan [18], Wang Wei [55], ZouYonghua [36], LvYongqiang [55] | 5 | |
Fangshan New Town | Sun Tieshan [18] | 1 | |
Yihuang, Da Xing District | Wang Wei [52] | 1 | |
2008 | CBD | Liu Xiaoquan [42], LvYongqiang [55], Yu Huili [54] | 3 |
Financial Street | Liu Xiaoquan [42], Yu Huili [56] | 2 | |
Zhongguancun | Liu Xiaoquan [42], Sun Tieshan [18], Zhou Haiyan [53], Huang Daquan [17], LvYongqiang [55], Yu Huili [56] | 6 | |
Olympic Park | Liu Xiaoquan [42], LvYongqiang [55], Yu Huili [56] | 3 | |
Jiuxianqiao | Liu Xiaoquan [42], Zhou Haiyan [53] | 2 | |
Changping New Town | Liu Xiaoquan [42], Huang Daquan [17], LvYongqiang [55] | 3 | |
Shunyi New Town | Liu Xiaoquan [42], Sun Tieshan [18], Huang Daquan [17], LvYongqiang [55] | 4 | |
Tongzhou New Town | Huang Daquan [17], Sun Tieshan [18], LvYongqiang [55] | 3 | |
Yizhuang | Liu Xiaooquan [42], Yu Huili [56] | 2 | |
Gucheng Street | Liu Xiaoquan [42], LvYongqiang [55] | 2 | |
Fangshan New Town | Liu Xiaoquan [42], Sun Tieshan [18], Huang Daquan [17], LvYongqiang [55] | 4 |
Model 1 | Collinearity Statistics | Model 2 | Collinearity Statistics | ||
---|---|---|---|---|---|
Tolerance | VIF | Tolerance | VIF | ||
ln𝐷TAM | 0.061 | 16.393 | ln𝐷TAM | 0.073 | 13.699 |
ln𝐷JRJ | 0.061 | 16.393 | ln𝐷JRJ | 0.073 | 13.699 |
Variable Classification | Independent Variable | Model 1 (Single Center) | Model 2 (Nearest Sub Center) | Model 3 (All Subcenters) | Model 4 (10 km within Subcenters) |
---|---|---|---|---|---|
Constant | 10.107 *** (75.557) | 10.178 *** (74.674) | 10.556 *** (58.832) | 9.856 *** (55.417) | |
X1 | SIZE | −0.087 *** (−5.485) | −0.090 *** (−5.688) | −0.090 *** (−5.733) | −0.088 *** (−5.582) |
FAR | 0.332 *** (19.937) | 0.331 *** (19.937) | 0.328 *** (19.733) | 0.330 *** (19.727) | |
MIXED | 0.310 *** (20.347) | 0.311 *** (20.029) | 0.303 *** (19.476) | 0.314 *** (20.325) | |
X2 | ln𝐷subway | −0.022 (−1.319) | −0.013 (−0.772) | −0.023 (−1.388) | −0.025 (−1.499) |
ln𝐷𝑝𝑎𝑟𝑘 | −0.036 (−1.399) | −0.012 (−0.444) | −0.014 (−0.528) | −0.032 (−1.229) | |
ln𝐷school | −0.097 *** (−5.050) | −0.071 ** (−3.349) | −0.053 * (−2.477) | −0.088 *** (−4.428) | |
X3 | ln𝐷TAM | −0.296 *** (−10.678) | −0.264 *** (−9.529) | −0.212 *** (−6.720) | −0.252 *** (−8.136) |
ln𝐷sub | −0.083 ** (−3.078) | ||||
ln𝐷sub—ZGC | −0.188 *** (−5.337) | ||||
X3’ | 𝐷sub—ZGC10 km | 0.080 * (2.320) | |||
Adjust R2 | 0.648 | 0.650 | 0.653 | 0.651 | |
N | 1694 | 1694 | 1694 | 1694 |
Variable Classification | Independent Variable | Model 1 (Single Center) | Model 2 (Nearest Sub Center) | Model 3 (All Subcenters) | Model 4 (10 km within Subcenters) |
---|---|---|---|---|---|
Constant | 9.872 *** (25.752) | 9.827 *** (24.787) | 11.687 *** (16.637) | 8.945 *** (18.325) | |
X1 | SIZE | 0.031 (0.582) | 0.032 (0.625) | −0.002 (−0.040) | −0.017 (−0.326) |
FAR | 0.211 ** (3.310) | 0.229 *** (3.618) | 0.269 *** (4.260) | 0.203 ** (3.276) | |
AUC | 0.251 *** (4.703) | 0.244 *** (4.635) | 0.254 *** (4.599) | 0.237 *** (4.364) | |
MIXED | 0.047 (0.936) | 0.040 (0.807) | 0.028 (0.569) | 0.043 (0.899) | |
FIVE—DEV | 0.146 ** (2.886) | 0.149 ** (3.073) | 0.102 ** (3.227) | 0.129 ** (2.734) | |
X2 | ln𝐷subway | −0.192 ** (−2.651) | −0.024 (−0.229) | −0.071 (−0.692) | −0.066 (−0.787) |
ln𝐷𝑝𝑎𝑟𝑘 | 0.013 (0.233) | 0.022 (0.420) | 0.044 (0.832) | −0.004 (−0.074) | |
ln𝐷school | −0.089 (−0.998) | −0110 (−1.248) | 0.086 (0.836) | 0.030 (0.336) | |
X3 | ln𝐷TAM | −0.278 ** (−3.366) | −0.291 ** (−3.563) | −0.205 * (−2.358) | −0.283 ** (−2.696) |
ln𝐷sub | −0.180 * (−2.232) | ||||
ln𝐷sub—ZGC | −0.472 ** (−3.178) | ||||
ln𝐷sub—OLY | 0.130 (1.138) | ||||
ln𝐷sub—TZ | −0.073 (−0.829) | ||||
ln𝐷sub—SY | −0.103 * (−2.422) | ||||
X3’ | 𝐷sub—ZGC10 km | 0.174 *(2.359) | |||
𝐷sub—OLY10 km | 0.177 *(2.232) | ||||
𝐷sub—TZ10 km | 0.103 ** (2.594) | ||||
𝐷sub—SY10km | 0.141 ** (2.636) | ||||
Adjust R2 | 0.638 | 0.647 | 0.667 | 0.674 | |
N | 164 | 164 | 164 | 164 |
Variable Classification | Independent Variable | Model 1 (Single Center) | Model 2 (Nearest Subcenter) | Model 3 (All Subcenters) | Model 4 (10 km within Subcenters) |
---|---|---|---|---|---|
Constant | 9.678 *** (31.310) | 9.852 *** (31.198) | 12.275 *** (13.813) | 9.007 *** (25.686) | |
X1 | SIZE | −0.087 (−1.817) | −0.080 (−1.678) | −0.083 (−1.776) | −0.084 (−1.902) |
FAR | 0.211 *** (4.010) | 0.201 *** (3.846) | 0.221 *** (4.267) | 0.211 *** (4.191) | |
AUC | 0.169 ** (3.282) | 0.184 *** (3.585) | 0.143 *** (2.700) | 0.112 * (2.249) | |
MIXED | 0.366 *** (7.401) | 0.372 *** (7.570) | 0.377 *** (7.796) | 0.359 *** (7.817) | |
FIVE—DEV | 0.117 * (2.578) | 0.113 * (2.529) | 0.125 ** (2.808) | 0.100 ** (3.290) | |
X2 | ln𝐷subway | −0.010 (−0.190) | 0.003 (0.064) | 0.037 (0.677) | 0.035 (0.731) |
ln𝐷𝑝𝑎𝑟𝑘 | −0.031 (−0.662) | −0.016 (−0.326) | −0.030 (−0.614) | −0.082 (−1.716) | |
ln𝐷school | 0.005 (0.095) | −0.013 (−0.252) | 0.000 (0.003) | 0.011 (0.192) | |
X3 | ln𝐷TAM | −0.205 *** (−3.678) | −0.173 ** (−3.027) | −0.147 * (−2.139) | −0.144 * (−2.343) |
ln𝐷sub | −0.108 * (−2.279) | ||||
ln𝐷sub—ZGC | −0.202 * (−3.120) | ||||
ln𝐷sub—OLY | 0.194 (1.931) | ||||
ln𝐷sub—TZ | −0.116 (−1.585) | ||||
ln𝐷sub—SY | −0.143 * (−2.103) | ||||
ln𝐷sub—CP | −0.189 ** (−2.934) | ||||
ln𝐷sub—FS | −0.140 (−1.667) | ||||
X3’ | 𝐷sub—ZGC10 km | 0.196 ** (2.943) | |||
𝐷sub—OLY10 km | 0.160 *(2.077) | ||||
𝐷sub—TZ10 km | 0.165 ** (3.562) | ||||
ln𝐷sub—SY10 km | 0.168 ** (3.510) | ||||
ln𝐷sub—CP10 km | 0.100 ** (3.304) | ||||
ln𝐷sub—FS10 km | 0.123 * (2.162) | ||||
Adjust R2 | 0.621 | 0.656 | 0.647 | 0.689 | |
N | 259 | 259 | 259 | 259 |
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Huang, D.; Yang, X.; Liu, Z.; Zhao, X.; Kong, F. The Dynamic Impacts of Employment Subcenters on Residential Land Price in Transitional China: An Examination of the Beijing Metropolitan Area. Sustainability 2018, 10, 1016. https://doi.org/10.3390/su10041016
Huang D, Yang X, Liu Z, Zhao X, Kong F. The Dynamic Impacts of Employment Subcenters on Residential Land Price in Transitional China: An Examination of the Beijing Metropolitan Area. Sustainability. 2018; 10(4):1016. https://doi.org/10.3390/su10041016
Chicago/Turabian StyleHuang, Daquan, Xiaoqing Yang, Zhen Liu, Xingshuo Zhao, and Fanhao Kong. 2018. "The Dynamic Impacts of Employment Subcenters on Residential Land Price in Transitional China: An Examination of the Beijing Metropolitan Area" Sustainability 10, no. 4: 1016. https://doi.org/10.3390/su10041016
APA StyleHuang, D., Yang, X., Liu, Z., Zhao, X., & Kong, F. (2018). The Dynamic Impacts of Employment Subcenters on Residential Land Price in Transitional China: An Examination of the Beijing Metropolitan Area. Sustainability, 10(4), 1016. https://doi.org/10.3390/su10041016