Acta Geographica Sinica, Volume. 75, Issue 10, 2109(2020)
Figures & Tables(12)
Fig. 1. Action mechanism and feedback path of regional differences in housing prices
Fig. 3. Average housing price growth of cities, districts and counties in the Yangtze River Delta from 2008 to 2018
Fig. 4. Spatial distribution pattern of housing prices at city and county levels of the Yangtze River Delta in 2008, 2013 and 2018
Fig. 5. Comparison of housing price growth for six types of districts and counties in the Yangtze River Delta from 2008 to 2018
Fig. 6. Comparison of housing price growth by stages in each district and county of the Yangtze River Delta from 2008 to 2018
Fig. 7. Hypothetical models of spatial pattern of housing prices in non-integrated and integrated regions
Fig. 8. Mutual feedback model of regional differences, element flow, and housing price differentiation in the integration process
Fig. 9. Scatter diagram of housing prices and rents in 2015 (a) and 2018 (b) of each district and county in the Yangtze River Delta
Fig. 10. The growth and spatial differentiation pattern of price-to-rent ratio in the Yangtze River Delta from 2015 to 2018
Table 1. Theil indexes and contribution rate of housing price in the Yangtze River Delta from 2008 to 2018
View tableView in ArticleTable 1. Theil indexes and contribution rate of housing price in the Yangtze River Delta from 2008 to 2018
年份 城市尺度 区县尺度 整体指数 贡献率(%) 整体指数 贡献率(%) 省域间 省域内(城市间) 城市间 城市内 2008 0.0688 48.41 51.59 0.0970 81.52 18.48 2009 0.0695 51.67 48.33 0.0888 79.50 20.50 2010 0.0759 53.49 46.51 0.1054 79.96 20.04 2011 0.0702 57.27 42.73 0.0985 77.86 22.14 2012 0.0572 59.78 40.22 0.0906 77.69 22.31 2013 0.0587 58.17 41.83 0.0954 79.06 20.94 2014 0.0612 53.04 46.96 0.1022 80.51 19.49 2015 0.0651 49.50 50.50 0.1121 81.39 18.61 2016 0.0814 38.74 61.26 0.1475 83.69 16.31 2017 0.0789 36.49 63.51 0.1479 84.48 15.52 2018 0.0714 42.67 57.33 0.1286 82.25 17.75
Table 2. Attributes of six types of districts and counties in the Yangtze River Delta, divided based on housing price and growth characteristics
View tableView in ArticleTable 2. Attributes of six types of districts and counties in the Yangtze River Delta, divided based on housing price and growth characteristics
类型 数量(个) 区县名称 均价(元/m2) 2008年 2018年 超级明星城市 核心城市城区 16 宝山、长宁、奉贤、虹口、黄浦、静安、嘉定、卢湾、闵行、浦东、普陀(上海)、青浦、松江、徐汇 、杨浦、闸北 17307 57403 中心城市城区 19 白下、鼓楼(南京)、江宁、建邺、浦口、秦淮、栖霞、下关、玄武、雨花台;滨江、富阳、拱墅、江干、上城、下城、西湖、萧山、余杭 10223 32770 非超级明星 城市 发达城市城区 26 金山;沧浪、苏州工业园区、虎丘、金阊、平江、吴中、相城;北仑、海曙、江北、江东、鄞州、镇海;鹿城、龙湾、瓯海;包河、滨湖新区、合肥高新区、合肥经开区、庐阳、蜀山、新站、瑶海、合肥政务区 7197 19001 其他城市城区 80 戚墅堰、天宁、武进、新北、钟楼;淮安、淮阴、洪泽、淮安经开区、清江浦、青浦;海州、新浦;崇川、港闸、南通开发区、通州;宿城、宿豫;高港、海陵;滨湖、北塘、崇安、惠山、南长、锡山;鼓楼(徐州)、泉山、铜山、云龙;亭湖、盐都;广陵、邗江、江都、维扬;丹徒、京口、润州;南浔、吴兴;南湖、平湖、秀洲;金东、婺城;莲都;柯城、衢江;柯桥、上虞、越城;黄岩、椒江、路桥;定海、普陀(舟山);大观、迎江、宜秀;蚌山;贵池;琅琊;颍东、颍泉、颍州;屯溪;金安、裕安;花山、雨山;狮子山、铜官、义安;镜湖、鸠江、三山、弋江;宣州 4136 11096 高需求城市 核心圈层县市 90 崇明;金坛、溧阳;高淳、六合、溧水;海安、海门、启东、如东、如皋;常熟、昆山、太仓、吴江、张家港;靖江、姜堰、泰兴、兴化;江阴、宜兴;宝应、高邮、仪征;镇江新区、丹阳、句容、扬中;淳安、建德、临安、桐庐;安吉、长兴、德清;海宁、海盐、嘉善、桐乡;东阳、兰溪、磐安、浦江、武义、永康、义乌;景宁、缙云、龙泉、青田、庆元、遂昌、松阳、云和;慈溪、奉化、宁海、象山、余姚;常山、江山、开化、龙游;嵊州、新昌、诸暨;临海、三门、天台、温岭、仙居、玉环;苍南、洞头、乐清、平阳、瑞安、泰顺、文成、永嘉;岱山、嵊泗;长丰、巢湖、肥东、肥西、庐江;繁昌、无为 4515 11349 低需求城市 外围地区县市 96 金湖;连云区、东海、赣榆、灌云;睢宁;滨海、大丰、东台;涟水、盱眙;灌南;泗阳、泗洪、沭阳;丰县、贾汪、沛县、邳州、新沂;阜宁、建湖、射阳、响水;怀宁、潜山、宿松、桐城、太湖、望江、岳西、枞阳;固镇、淮上、怀远、龙子湖、五河、禹会;东至、青阳、石台;定远、凤阳、来安、明光、南谯、全椒、天长;阜南、界首、临泉、太和、颍上;杜集、烈山、濉溪、相山;八公山、大通、凤台、潘集、田家庵、谢家集;黄山、徽州、祁门、歙县、休宁、黟县;霍邱、霍山、金寨、舒城、寿县;当涂、含山、和县、金家庄;砀山、灵璧、泗县、萧县、埇桥;郊区;南陵、芜湖;广德、旌德、泾县、绩溪、郎溪、宁国;涡阳、利辛、蒙城、谯城 2508 5828
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Weixuan SONG, Yanru CHEN, Jie SUN, Miao HE.
Paper Information
Received: Mar. 25, 2019
Accepted: --
Published Online: Apr. 14, 2021
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