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    Journals >Resources Science >Volume 42 >Issue 6 >Page 1135 > Article
    • Resources Science
    • Vol. 42, Issue 6, 1135 (2020)
    The influence of vacancy rate on housing price： Based on panel data of 35 key cities
    Jie WANG and Jiliang ZHANG*
    Author Affiliations
  • School of Economics, Nanjing University of Finance and Economics, Nanjing 210023, China
    • show less
    DOI: 10.18402/resci.2020.06.11 Cite this Article
    Jie WANG, Jiliang ZHANG. The influence of vacancy rate on housing price： Based on panel data of 35 key cities[J]. Resources Science, 2020, 42(6): 1135 Copy Citation Text show less
    Trends of average value of the indices, 2007-2016
    Fig. 1. Trends of average value of the indices, 2007-2016
    Download full size | View in the Article
    Trend of average population density in built-up areas, 2007-2016
    Fig. 2. Trend of average population density in built-up areas, 2007-2016
    Download full size | View in the Article
    一线城市二线发达城市二线中等发达城市二线发展较弱城市三线城市
    北京天津济南合肥乌鲁木齐
    上海杭州大连南昌贵阳
    广州南京哈尔滨南宁海口
    深圳重庆沈阳昆明兰州
    青岛西安石家庄银川
    宁波长春太原西宁
    厦门长沙呼和浩特
    成都福州
    武汉郑州
    Table 1. City classification
    城市lnHVR的系数（P值）lnLTF的系数（P值）lnPCDI的系数（P值）lnPD的系数（P值）
    北京市-0.3864(0.1897)0.0164(0.8647)0.9141(0.0009)0.8733(0.0739)
    天津市-0.1159(0.0031)0.1849(0.0003)0.8118(0.0000)0.0135(0.9560)
    石家庄市-0.2135(0.1525)0.2509(0.3419)1.7443(0.0008)-1.2583(0.2397)
    太原市-0.0071(0.9716)0.2839(0.2202)1.7505(0.0470)1.7536(0.4432)
    呼和浩特市-0.1539(0.3088)0.0456(0.7013)1.0118(0.0000)0.3786(0.3338)
    沈阳市-0.3135(0.0000)0.1080(0.0398)0.9821(0.0000)0.0374(0.8425)
    大连市-0.0015(0.9774)-0.0051(0.9269)0.5029(0.0005)-0.2624(0.1381)
    长春市-0.1818(0.0156)0.1469(0.1111)0.6445(0.0000)-0.0535(0.8894)
    哈尔滨市-0.0954(0.7215)0.3370(0.0100)0.2206(0.3100)-1.1876(0.1075)
    上海市-0.1628(0.6177)0.4383(0.0170)-0.5668(0.4412)4.4425(0.1476)
    南京市-0.3762(0.0165)0.3046(0.0089)1.1192(0.0270)5.9428(0.0095)
    杭州市-0.4349(0.0433)0.0324(0.8158)2.0592(0.0040)-1.1670(0.0043)
    宁波市-0.322(0.0000)0.1343(0.0038)1.0449(0.0000)-0.5854(0.0000)
    合肥市-0.048(0.9272)0.0819(0.6602)0.8419(0.0811)-0.8534(0.2803)
    福州市-0.0268(0.8640)0.0641(0.5489)0.5811(0.0548)-1.1301(0.0565)
    厦门市-0.2167(0.6229)0.1804(0.1011)1.6614(0.1510)0.2725(0.8523)
    南昌市-0.0720(0.6462)0.0251(0.8736)1.2362(0.0491)0.4931(0.7261)
    济南市-0.2925(0.0418)0.0034(0.9844)0.7805(0.0061)-0.4884(0.2737)
    青岛市-0.2688(0.0088)0.0129(0.8729)0.995(0.0000)-0.1096(0.5886)
    郑州市-0.0799(0.4976)0.0372(0.4513)1.0665(0.0000)0.0606(0.5927)
    武汉市-0.0667(0.5236)0.0364(0.7771)0.8149(0.0098)0.0569(0.7172)
    长沙市0.2616(0.4283)0.1630(0.3495)0.0170(0.9781)0.3642(0.5147)
    广州市-0.0830(0.6867)0.0874(0.2039)1.1682(0.0000)0.0881(0.7614)
    深圳市-0.1729(0.1282)0.1661(0.0047)0.7648(0.0822)3.1268(0.0093)
    南宁市-0.1021(0.0028)0.0288(0.2145)0.9388(0.0000)-0.7519(0.0000)
    海口市-0.0403(0.7836)0.1382(0.2661)0.7169(0.1688)0.7477(0.2273)
    重庆市-0.0242(0.9105)0.3832(0.0542)0.3603(0.4163)-0.3382(0.5387)
    成都市-0.3718(0.0000)0.2990(0.0001)1.4348(0.0000)0.0114(0.9770)
    贵阳市-0.0930(0.5891)0.0146(0.9263)0.9267(0.0006)-0.0006(0.9986)
    昆明市0.1253(0.1600)0.0202(0.7152)0.5847(0.0395)0.1880(0.5646)
    西安市0.0150(0.8985)0.0510(0.8388)0.6167(0.1307)-0.3067(0.7809)
    兰州市-0.1730(0.1414)0.0518(0.3612)0.9475(0.0000)-0.2173(0.6663)
    西宁市-0.0557(0.6712)0.0220(0.7013)1.0324(0.0000)0.0832(0.8841)
    银川市-0.3215(0.0175)0.0650(0.4731)0.8558(0.0000)0.6748(0.2695)
    乌鲁木齐市-0.6973(0.0000)0.2689(0.0011)0.5608(0.0051)-0.5309(0.5567)
    Table 2. Estimation results of coefficient of explanatory variables in each city
    lnHVR系数lnLTF系数lnPCDI系数lnPD系数模型拟合优度
    模型10.33360.7329
    模型20.15740.29710.8528
    模型3-0.07090.07830.79510.9125
    模型4-0.06990.07690.80150.02690.9180
    Table 3. Contribution of vacancy rate and control variables to housing price fluctuation
    城市划分一线城市二线发达城市二线中等发达城市二线发展较弱城市三线城市
    lnHVR系数均值-0.2013-0.2441-0.0794-0.0529-0.2192
    lnLTF系数均值0.17710.17420.10060.11510.0866
    lnPCDI系数均值0.57011.14460.60131.18270.8645
    lnPD系数均值2.13260.4552-0.3296-0.07150.1622
    Table 4. Mean value of regression coefficients of each explanatory variable by city class
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    Jie WANG, Jiliang ZHANG. The influence of vacancy rate on housing price： Based on panel data of 35 key cities[J]. Resources Science, 2020, 42(6): 1135
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