SPATIAL DIFFERENTIATION AND INFLUENCE FACTORS ANALYSIS OF COUNTY REGION HOUSING PRICES IN THE YANGTZE RIVER DELTA
HAN Yan-hong1, YIN Shang-gang2, LI Zai-jun3
1. School of Environmental Science, Nanjing Xiaozhuang College, Nanjing 211171, China;
2. School of Geographical Science, Nanjing Normal University, Nanjing 210023, China;
3. Research Institute of Central Jiangsu Development, Yangzhou University, Yangzhou 225009, China
Abstract：This paper is based on the data of the housing prices of 135 regions and counties from Yangtze River Delta between 2014 and 2016. Through the methods of spatial extraction of the data, the calculation of the difference index and the hot spot analysis, the paper makes a research on the spatial differentiation pattern of housing prices in Yangtze River Delta. The results indicate that the housing prices spatial variation pattern of Yangtze River Delta is consistent with its urban system structure and the distribution characteristic is multi polar nuclei pattern. The imbalance of spatial differentiation of housing prices in Yangtze River Delta is increasing. The spatial distribution pattern of cold and hot spots is relatively stable. The fluctuation in the number of hot spots is declining but the fluctuation in the number of cold spots is increasing. On this foundation, this paper makes an analysis on the factors affecting the housing prices spatial variation in the Yangtze River Delta from economic resources, human resources, social resources and administrative resources by using multiple linear regression model. This paper is based on the data of the housing prices of 135 regions and counties from the Yangtze River Delta between 2014 and 2016. Through the methods of spatial extraction of the data, the calculation of the difference index and the hot spot analysis, the paper makes a research on the spatial differentiation pattern of housing prices in the Yangtze River Delta. The results indicate that the housing prices spatial variation pattern of the Yangtze River Delta is consistent with its urban system structure. The distribution characteristic is multi polar nuclei pattern. The differences in the internal of the city have little impact on the overall difference of the Yangtze River Delta. The spatial distribution pattern of cold and hot spots is relatively stable.
韩艳红, 尹上岗, 李在军. 长三角县域房价空间分异格局及其影响因素分析[J]. 人文地理, 2018, 33(6): 87-95.
HAN Yan-hong, YIN Shang-gang, LI Zai-jun. SPATIAL DIFFERENTIATION AND INFLUENCE FACTORS ANALYSIS OF COUNTY REGION HOUSING PRICES IN THE YANGTZE RIVER DELTA. HUMAN GEOGRAPHY, 2018, 33(6): 87-95.
Park R E, Burgess E W, Mckenzie R D. The City[M]. Chicago:The University of Chicago Press, 1925:47-62.
[2]
Shevky E, Bell W. Social Area Analysis[M]. Stanford, CA:Stanford University Press, 1955:1-36.
[3]
Clark W A V. Residential preferences and residential choices in a multi-ethnic context[J]. Demography, 1992,29:451-466.
[4]
Haurin D R, Brasington D. School quality and real house prices:Inter and intra-metropolitan effects[J]. Journal of Housing Economics, 1996,5(3):351-368.
[5]
Stevenson S. New empirical evidence on heteroscedasticity in hedonic housing mode[J]. Journal of Housing Economics, 2004,13(2):136-153.
[6]
Chen L. Spatial Analysis of Housing Markets Using the Hedonic Approach with Geographic Information Systems[D]. Cambridge, Massachusetts:Thesis (Ph D.), Dept. of Urban Studies and Planning, Massachusetts Institute of Technology, 1994:23-96.
[7]
Orford S. Modeling spatial structures in local housing market dynamics:A multilevel Perspective[J]. Urban Studies, 2000,37(9):1643-1671.
[8]
吴启焰.大城市居住空间分异的理论与实证研究(第二版)[M].北京:科学出版社,2016:42-84.[Wu Qiyan. Differentiation of Urban Residential Space:Theory and Practice (the Second Edition)[M]. Beijing:Science Press, 2016:42-84.]
[9]
宋伟轩,吴启焰,朱喜钢.新时期南京居住空间分异研究[J].地理学报,2010,65(6):685-694.[Song Weixuan, Wu Qiyan, Zhu Xigang. Residential differentiation of Nanjing in the new period[J]. Acta Geographica Sinica, 2010,65(6):685-694.]
[10]
冯健,周一星.北京都市区社会空间结构及其演化(1998-2000)[J].地理研究,2003,22(4):465-483.[Feng Jian, Zhou Yixing. The social spatial structure of Beijing metropolitan area and its evolution:1982-2000[J]. Geographical Research, 2003,22(4):465-483.]
石忆邵,李木秀.上海市住房价格梯度及其影响因素分析[J].地理学报,2006,61(6):604-612.[Shi Yishao, Li Muxiu. The analysis of the housing price gradient and its impact factors of Shanghai city[J]. Acta Geographica Sinica, 2006,61(6):604-612.]
[13]
闫小培,周春山,邓世文,等.广州市及周边地区商品房的开发与分布[J].地理学报,2001,56(5):570-580.[Yan Xiaopei, Zhou Chunshan, Deng Shiwen, et al. Development of commodity housing in Guangzhou and its surrounding areas[J]. Acta Geographica Sinica, 2001,56(5):570-580.]
[14]
吴启焰,崔功豪.南京市居住空间分异特征及其形成机制[J].城市规划,1999,23(12):23-35.[Wu Qiyan, Cui Gonghao. The differential characteristics of residential space in Nanjing and its mechanism[J]. City Planning Review, 1999,23(12):23-35.]
[15]
宋伟轩,朱喜钢.新时期南京居住社会空间的"双重碎片化"[J].现代城市研究,2009(9):65-70.[Song Weixuan, Zhu Xigang. Residential socio-spatial "dual-fragmentation" in Nanjing during new period[J]. Modern Urban Research, 2009(9):65-70.]
[16]
李雪铭,张馨,张春花,等.大连商品住宅价格空间分异规律研究[J]. 地域研究与开发,2004,23(6):35-39.[Li Xueming, Zhang Xin, Zhang Chunhua, et al. Spatial distribution characters of residence price in Dalian[J]. Areal Research and Development, 2004,23(6):35-39.]
[17]
郝前进,陈杰.长三角房地产市场的价格差异及决定因素[J].经济地理,2007,27(6):985-989.[Hao Qianjin, Chen Jie. The determinants of urban house prices difference in Yangtze River Delta[J]. Economic Geography, 2007,27(6):985-989.]
[18]
杨元梅,谭术魁.珠三角一小时城市圈房地产价格影响因素对房价及其波动的影响程度研究[J].中国土地科学,2011,25(7):54-59.[Yang Yuanmei, Tan Shukui. Study on the impact degree of the influential factors on the house price and its fluctuation in the onehour-tour city agglomeration in the Pearl River Delta[J]. China Land Science, 2011,25(7):54-59.]
[19]
梁云芳,高铁梅.中国房地产价格波动区域差异的实证分析[J].经济研究,2007(8):133-142.[Liang Yunfang, Gao Tiemei. Empirical analysis on real estate price fluctuation in different provinces of China[J]. Economic Research, 2007(8):133-142.]
[20]
王洋,王德利,王少剑.中国城市住宅价格的空间分异格局及影响因素[J]. 地理科学,2013,33(10):1157-1165.[Wang Yang, Wang Deli, Wang Shaojian. Spatial differentiation patterns and impact factors of housing prices of China's cities[J]. Scientia Geographica Sinica, 2013,33(10):1157-1165.]
[21]
刘慧.区域差异测度方法与评价[J].地理研究,2006,25(4):710-718.[Liu Hui. Regional inequality measurement:Methods and evaluations[J]. Geographical Research, 2006,25(4):710-718.]
[22]
Theil H. Economics and Information Theory[M]. Amsterdam:North Holland Publishing Company, 1967:41-83.
[23]
刘志伟.收入分配不公平程度测度方法综述[J].统计与信息论坛, 2003,18(5):28-32.[Liu Zhiwei. Review on methods to measure the degree of inequality in income distribution[J]. Statistics & Information Forum, 2003,18(5):28-32.]
[24]
Getis A, Ord J K. The analysis of spatial association by use of distance statistics[J]. Geographical Analysis, 1992,24(3):189-206.
[25]
柳林,杨刚斌,何深静.市场转型期中国大城市低收入社区住房分异研究[J].地理科学,2014,34(8):897-906.[Liu Lin, Yang Gangbin, He Shenjing. Housing differentiation in low-income neighbourhoods in large Chinese cities under market transition[J]. Scientia Geographica Sinica, 2014,34(8):897-906.]
[26]
谢旦杏,林雄斌.城市住房价格时空间特征及其影响因素研究[J]. 经济地理,2014,34(4):70-77.[Xie Danxing, Lin Xiongbin. The effect of urban scale, economic growth to urban housing price[J]. Economic Geography, 2014,34(4):70-77.]
[27]
牛俊蜻,吕园,刘科伟.城市规划视角下西安市主城区住宅空间结构演变研究[J].人文地理,2011,26(4):48-53.[Niu Junqing, Lv Yuan, Liu Kewei. The study on the evolution of the residential spatial structure in Xi'an city from the perspective of urban planning[J]. Human Geography, 2011,26(4):48-53.]
[28]
骆学韧,江燕.我国房地产调控失灵的体制性障碍——从市场和政府"双失灵"角度分析[J].中南财经政法大学学报, 2011(6):18-22.[Luo Xueren, Jiang Yan. Institutional obstacles to the failure of real estate regulation and control in China from the perspective of "double failure" of market and government[J]. Journal of Zhongnan University of Economics and Law, 2011(6):18-22.]
[29]
曹飞.公共选择理论视角下的高房价成因分析[J].经济体制改革, 2013(1):27-31.[Cao Fei. The analysis of the causes of high house prices from the perspective of public choice theory[J]. Reform of Economic System, 2013(1):27-31.]
