城镇化水平对房地产价格的影响研究——以珠江三角洲为例
Research on the Impact of Urbanization Level on Real Estate Prices—Taking the Pearl River Delta as an Example
DOI: 10.12677/SA.2021.105091, PDF,   
作者: 刘亚婷:云南财经大学,云南 昆明
关键词: 珠江三角洲房价城镇化面板模型Pearl River Delta House Price Urbanization Panel Model
摘要: 为研究珠三角地区城镇化对房价的影响,厘清作用机制,本研究采用面板模型对珠三角9个城市2004~2019年数据进行深入研究,从供给和需求两个角度展开讨论,针对本文长面板数据,考虑扰动项可能存在的异方差与自相关,从而确定这些潜在因素的影响,选择OLS+面板校正标准误差和全面FGLS估计方法进行估计。研究发现珠三角地区城镇化对房价影响为正,但不显著,理论上,城镇人口规模增加,带动住房需求的增加,房价随之上涨,但有效住房需求仍需进一步协商,珠三角地区已经处于较高的城镇化水平,相较而言,城镇化率高的地方,房地产市场发展更好,各个城市之间的差距扩大,城市群内部房地产市场发展呈现不平衡状态。
Abstract: In order to study the impact of urbanization on housing prices in the Pearl River Delta region and clarify the mechanism of action, this study uses a panel model to conduct in-depth research on the data of 9 cities in the Pearl River Delta from 2004 to 2019, discusses from the perspectives of supply and demand, focuses on the long panel data of this article, and considers the possible heteroscedasticity and autocorrelation of the disturbance term, so as to determine the influence of these potential factors, choose OLS+ panel correction standard error and comprehensive FGLS estimation method to estimate. The study found that urbanization in the Pearl River Delta has a positive but not significant impact on housing prices. Theoretically, the increase in the size of the urban population will lead to an increase in housing demand, and housing prices will rise accordingly. However, the effective housing demand still needs further discussion. The Pearl River Delta is already in a higher level of urbanization. In comparison, places with a high urbanization rate have a better development of the real estate market. The gap between cities has widened, and the development of the real estate market within urban agglomerations is in a state of imbalance.
文章引用:刘亚婷. 城镇化水平对房地产价格的影响研究——以珠江三角洲为例[J]. 统计学与应用, 2021, 10(5): 875-882. https://doi.org/10.12677/SA.2021.105091

参考文献

[1] Peng R. and Wheaton, W.C. (1994) Effects of Restrictive Land Supply on Housing in Hong Kong: An Econometric Analysis. Journal of Housing Research, 5, 263-291.
[2] 韩立彬, 陆铭. 供需错配: 解开中国房价分化之谜[J]. 世界经济, 2018, 41(10): 126-149.
[3] 温海珍, 吕雪梦, 张凌. 房价与地价的内生性及其互动影响——基于联立方程模型的实证分析[J]. 财贸经济, 2010(2): 124-129.
[4] 宋勃, 刘建江. 房价与地价关系的理论分析与中国经验的实证检验: 1998-2007[J]. 中央财经大学学报, 2009(9): 60-66.
[5] 苏亚莉, 张玉. 我国房地产价格影响因素的实证研究——基于2003-2008年数据[J]. 江西社会科学, 2011, 31(12): 54-57.
[6] Wang, Z. and Zhang, Q. (2014) Fundamental Factors in the Housing Markets of China. Journal of Housing Economics, 25, 53-61.
[Google Scholar] [CrossRef
[7] 况伟大. 预期、投机与中国城市房价波动[J]. 经济研究, 2010, 45(9): 67-78.
[8] 盛松成, 刘斌. 经济发展对房价长期走势的决定作用——基于中国及国际的比较分析[J]. 财贸经济, 2007(8): 109-114, 129.
[9] Holly, S., Hashem Pesaran, M. and Yamagata, T. (2010) A Spatio-Temporal Model of House Prices in the USA. Journal of Econometrics, 158, 160-173.
[Google Scholar] [CrossRef
[10] 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.
[11] Day, C. (2018) Population and House Prices in the United Kingdom. Scottish Journal of Political Economy, 65, 127-141.
[Google Scholar] [CrossRef
[12] 徐建炜, 徐奇渊, 何帆. 房价上涨背后的人口结构因素: 国际经验与中国证据[J]. 世界经济, 2012, 35(1): 24-42.
[13] 郭娜, 吴敬. 老龄化、城镇化与我国房地产价格研究——基于面板平滑转换模型的分析[J]. 当代经济科学, 2015, 37(2): 11-17+124.
[14] 梁云芳, 高铁梅. 我国商品住宅销售价格波动成因的实证分析[J]. 管理世界, 2006(8): 76-82.
[15] 常亮, 贾金荣. 房价与城镇化进程关系及影响研究[J]. 经济经纬, 2012(3): 50-54.
[16] 陆铭, 欧海军, 陈斌开. 理性还是泡沫: 对城市化、移民和房价的经验研究[J]. 世界经济, 2014, 37(1): 30-54.
[17] 陈广桂. 房价、农民市民化成本和我国的城市化[J]. 中国农村经济, 2004(3): 43-47.
[18] 任木荣, 刘波. 房价与城市化的关系——基于省际面板数据的实证分析[J]. 南方经济, 2009(2): 41-49.
[19] 王鹤, 周少君. 城镇化影响房地产价格的“直接效应”与“间接效应”分析——基于我国地级市动态空间杜宾模型[J]. 南开经济研究, 2017(2): 3-22.
[20] 张延, 张静. 城镇化对房价的影响: 理论与实证分析[J]. 财政研究, 2016(6): 95-102.
[21] 罗良文, 潘雅茹. 区域城镇化差异对房地产价格影响的实证分析[J]. 统计与决策, 2015(5): 131-134.