• Resources Science
  • Vol. 42, Issue 6, 1135 (2020)
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
    References

    [1] Wang HS, Shu CX, Li SL. Reducing vacant houses is more important than the implementation of Green Buildings[J]. Advanced Materials Research, 280, 250-254(2011).

    [2] 樊纲治, 涂奕. 中国住宅市场供给“追随”效应的研究[J]. 投资研究, 2015,34(2):68-89. [Fan GZ, TuY. The research on house supply in China under the effect of following behavior[J]. Review of Investment Studies, 2015,34(2):68-89.] [Fan G Z, Tu Y. The research on house supply in China under the effect of following behavior[J]. Review of Investment Studies, 2015, 34(2): 68-89.]

    [3] 刘修岩, 杜聪, 李松林. 自然地理约束、土地利用规制与中国住房供给弹性[J]. 经济研究, 2019,54(4):99-115. [Liu XY, DuC, Li SL. Natural geographical constraints, land use regulations and China’s housing supply elasticity[J]. Economic Research Journal, 2019,54(4):99-115.] [Liu X Y, Du C, Li S L. Natural geographical constraints, land use regulations and China’s housing supply elasticity[J]. Economic Research Journal, 2019, 54(4): 99-115.]

    [4] 台玉红. 住房空置率对住宅价格的影响分析[J]. 经济问题, 2009, (8):42-43. [Tai YH. Analysis of the influence of the housing vacancy rate on the real estate price[J]. On Economic Problems, 2009, (8):42-43.] [Tai Y H. Analysis of the influence of the housing vacancy rate on the real estate price[J]. On Economic Problems, 2009, (8): 42-43.]

    [5] 鞠方, 于静静, 周建军. 我国商品房空置率对房价波动影响的实证研究[J]. 湖南科技大学学报(社会科学版), 2013,16(5):69-74. [JuF, Yu JJ, Zhou JJ. Research on the financial accelerator effect of real estate market in China[J]. Journal of Hunan University of Science & Technology (Social Science Edition), 2013,16(5):69-74.] [Ju F, Yu J J, Zhou J J. Research on the financial accelerator effect of real estate market in China[J]. Journal of Hunan University of Science & Technology (Social Science Edition), 2013, 16(5): 69-74.]

    [6] Zhang SY. Research on Kunming house price model based on bubble measurement[J]. International Journal of Social Science and Education Research, 2, 150-158(2019).

    [7] Wang LY, FanH, Wang YK. An estimation of housing vacancy rate using NPP-VIIRS night-time light data and Open Street Map data[J]. International Journal of Remote Sensing, 40, 8566-8588(2019).

    [8] Kirk MC. The allocation of rental assistance resources: The paradox of high housing costs and high vacancy rates[J]. International Journal of Housing Policy, 19, 69-94(2019).

    [9] 王瑞功, 何佳琛. 城市土地资源配置与房价动态变化关系研究: 基于供需双侧视角构建影响房价的模型分析[J]. 价格理论与实践, 2019, (8):60-63. [Wang RG, He JC. Study on the endogenous mechanism of urban land resources allocation and house price dynamic change: Building data models affecting housing prices from the perspective of supply and demand[J]. Price: Theory & Practice, 2019, (8):60-63.] [Wang R G, He J C. Study on the endogenous mechanism of urban land resources allocation and house price dynamic change: Building data models affecting housing prices from the perspective of supply and demand[J]. Price: Theory & Practice, 2019, (8): 60-63.]

    [10] 王林, 陈炜林. 基于PVAR的住宅房价与区域间人口流动相互影响分析[J]. 现代城市研究, 2018, (6):9-15. [WangL, Chen WL. A PVAR study on the relationship between housing price and population mobility[J]. Modern Urban Research, 2018, (6):9-15.] [Wang L, Chen W L. A PVAR study on the relationship between housing price and population mobility[J]. Modern Urban Research, 2018, (6): 9-15.]

    [11] RamliF, ZainalR, AliM. Prediction supply modelling for high- cost housing in Malaysia[J]. International Journal of Supply Chain Management, 8, 657-664(2019).

    [12] PaavoM. Empty houses across North America: Housing finance and Mexico’s vacancy crisis[J]. SAGE Publications, 56, 2075-2091(2019).

    [13] Wang YS, Hao ZB, ZhangY et al. A Study on Vacancy Rate of Commercial Houses in Guangzhou[C]. Guangzhou: Proceedings of 2011 International Conference on Construction & Real Estate Management(2011).

    [14] 高善文. 房地产库存去化的进程: 重点城市房价上涨之谜[J]. 清华金融评论, 2017, (3):54-56. [Gao SW. The process of real estate inventory deregulation: The mystery of rising house prices in key cities[J]. Tsinghua Financial Review, 2017, (3):54-56.] [Gao S W. The process of real estate inventory deregulation: The mystery of rising house prices in key cities[J]. Tsinghua Financial Review, 2017, (3): 54-56.]

    [15] Wang YL, Yu YZ, Su YQ. Does the tender, auction and listing system in land promote higher housing prices in China?[J]. Housing Studies, 33, 613-634(2018).

    [16] 王立平. 我国房地产价格“稳健性”影响因素实证研究[J]. 管理世界, 2013, (10):184-185. [Wang LP. An empirical study on the influencing factors of ‘conservatism’ of real estate prices in China[J]. Management World, 2013, (10):184-185.] [Wang L P. An empirical study on the influencing factors of ‘conservatism’ of real estate prices in China[J]. Management World, 2013, (10): 184-185.]

    [17] 任啸辰, 傅程远. 人口因素与房地产价格关系的研究: 基于2006-2017大中城市面板数据的分析[J]. 中国国土资源经济, 2019,32(12):73-80. [Ren XC, Fu CY. Research on the relationship between population factors and real estate prices: Based on the panel data of large and medium-sized cities in 2006-2017[J]. Natural Resource Economics of China, 2019,32(12):73-80.] [Ren X C, Fu C Y. Research on the relationship between population factors and real estate prices: Based on the panel data of large and medium-sized cities in 2006-2017[J]. Natural Resource Economics of China, 2019, 32(12): 73-80.]

    [18] 李成, 李一帆, 于海东, 等. 城市人口、货币政策与房地产价格: 内在机理与实证检验[J]. 当代经济科学, 2020,42(1):108-119. [LiC, Li YF, Yu HD, et al. The impact of urban population and monetary policy on real estate price: Internal mechanism and empirical test[J]. Modern Economic Science, 2020,42(1):108-119.] [Li C, Li Y F, Yu H D, et al. The impact of urban population and monetary policy on real estate price: Internal mechanism and empirical test[J]. Modern Economic Science, 2020, 42(1): 108-119.]

    [19] 李继玲. 房价波动影响因素研究: 基于2005-2015年数据的实证分析[J]. 经济问题探索, 2017, (9):30-37. [Li JL. Study on the influencing factors of house price fluctuation: Empirical analysis based on the data from 2005 to 2015[J]. Inquiry into Economic Issues, 2017, (9):30-37.] [Li J L. Study on the influencing factors of house price fluctuation: Empirical analysis based on the data from 2005 to 2015[J]. Inquiry into Economic Issues, 2017, (9): 30-37.]

    [20] 姚争, 孙华平, 冯长春. 中国城市住房价格变化的影响因素分析: 基于31个城市面板数据的实证研究[J]. 建筑经济, 2011, (7):74-77. [YaoZ, Sun HP, Feng CC. Analysis on the impact factor of urban housing price change: Empirical research based on 30 cities’ panel data[J]. Construction Economy, 2011, (7):74-77.] [Yao Z, Sun H P, Feng C C. Analysis on the impact factor of urban housing price change: Empirical research based on 30 cities’ panel data[J]. Construction Economy, 2011, (7): 74-77.]

    [21] 刘学良, 陈琳. 横截面与时间序列的相关异质: 再论面板数据模型及其固定效应估计[J]. 数量经济技术经济研究, 2011,28(12):96-114. [Liu XL, ChenL. The heterogeneity of correlation between cross-section and time series: A further discussion on panel data model and its fixed effect estimation[J]. The Journal of Quantitative & Technical Economics, 2011,28(12):96-114.] [Liu X L, Chen L. The heterogeneity of correlation between cross-section and time series: A further discussion on panel data model and its fixed effect estimation[J]. The Journal of Quantitative & Technical Economics, 2011, 28(12): 96-114.]

    [22] Liu TY, Chang HL, Su CW et al. China’s housing bubble burst?[J]. Economics of Transition, 24, 361-389(2016).

    [23] 徐海东. 我国各层级城市房价差异及差异传导机制[J]. 价格月刊, 2019, (7):1-8. [Xu HD. Difference and difference transmission mechanism of housing prices of different-tier cities in China[J]. Prices Monthly, 2019, (7):1-8.] [Xu H D. Difference and difference transmission mechanism of housing prices of different-tier cities in China[J]. Prices Monthly, 2019, (7): 1-8.]

    [24] 方大春, 裴梦迪. 房价空间关联网络结构实证分析[J]. 上海经济研究, 2018, (1):63-73. [Fang DC, Pei MD. The empirical analysis of the spatial correlation network structure of housing price[J]. Shanghai Journal of Economics, 2018, (1):63-73.] [Fang D C, Pei M D. The empirical analysis of the spatial correlation network structure of housing price[J]. Shanghai Journal of Economics, 2018, (1): 63-73.]

    [25] 唐如建, 付光辉. 南京市新建商品住宅空置率空间差异分析[J]. 城市问题, 2017, (2):77-82. [Tang RJ, Fu GH. Analysis on spatial difference of vacancy rate of newly-built commercial housing in Nanjing[J]. Urban Problems, 2017, (2):77-82.] [Tang R J, Fu G H. Analysis on spatial difference of vacancy rate of newly-built commercial housing in Nanjing[J]. Urban Problems, 2017, (2): 77-82.]

    [26] 中华人民共和国国家统计局. 中国房地产统计年鉴[M]. 北京: 中国统计出版社, 2006-2017. [National Bureau of Statistics of the People’s Republic of China. China Real Estate Statistical Yearbook[M]. Beijing: China Statistics Press, 2006-2017.] [National Bureau of Statistics of the People’s Republic of China. China Real Estate Statistical Yearbook[M]. Beijing: China Statistics Press, 2006-2017.]

    [27] 中华人民共和国国土资源部. 中国国土资源统计年鉴[M]. 北京: 地质出版社, 2008-2017. [Ministry of Land and Resources of the People’s Republic of China. China Land and Resources Statistical Yearbook[M]. Beijing: Geological Publishing House, 2008-2017.] [Ministry of Land and Resources of the People’s Republic of China. China Land and Resources Statistical Yearbook[M]. Beijing: Geological Publishing House, 2008-2017.]

    [28] 中华人民共和国国家统计局. 中国统计年鉴[M]. 北京: 中国统计出版社, 2008-2017. [National Bureau of Statistics of the People’s Republic of China. China Statistical Yearbook[M]. Beijing: China Statistics Press, 2008-2017.] [National Bureau of Statistics of the People’s Republic of China. China Statistical Yearbook[M]. Beijing: China Statistics Press, 2008-2017.]

    [29] 中华人民共和国国家统计局. 中国城市建设统计年鉴[M]. 北京: 中国统计出版社, 2008-2017. [National Bureau of Statistics of the People’s Republic of China. China Urban Construction Statistical Yearbook[M]. Beijing: China Statistics Press, 2008-2017.] [National Bureau of Statistics of the People’s Republic of China. China Urban Construction Statistical Yearbook[M]. Beijing: China Statistics Press, 2008-2017.]

    [30] 杜春萌, 焦利民, 许刚. 中国地级以上城市建成区2006-2016年人口密度变化的时空格局及驱动因素[J]. 热带地理, 2018,38(6):791-798.

    [31] 许光建, 魏义方, 戴李元, 等. 中国城市住房价格变动影响因素分析[J]. 经济理论与经济管理, 2010, (8):5-14.

    [32] Wang XF, LiuY, Fu BN. Analysis and Innovation of Real Estate Financial Risk in China’s Commercial Banks[C]. Bristol: Proceedings of 2007 International Conference on Construction & Real Estate Management(2007).

    [33] 沈晓艳, 黄贤金. 基于土地供应侧的中国商品住宅空置效应分析: 以35个大中城市为例[J]. 现代城市研究, 2017, (10):12-17. [Shen XY, Huang XJ. Exploring the impact of land supply policy on the vacancy of commercial housing: Evidence from 35 large and medium cities[J]. Modern Urban Research, 2017, (10):12-17.] [Shen X Y, Huang X J. Exploring the impact of land supply policy on the vacancy of commercial housing: Evidence from 35 large and medium cities[J]. Modern Urban Research, 2017, (10): 12-17.]

    [34] 张红, 刘佳慧, 李维娜. 住宅价格波动及其影响因素的实证研究: 基于误差修正模型[J]. 中国房地产, 2019(33):8-13. [ZhangH, Liu JH, Li WN. Empirical study on housing price fluctuation and its influencing factors: Based on error correction model[J]. China Real Estate, 2019(33):8-13.] [Zhang H, Liu J H, Li W N. Empirical study on housing price fluctuation and its influencing factors: Based on error correction model[J]. China Real Estate, 2019(33): 8-13.]

    [35] Chang CO, Chen SM. Dilemma of housing demand in Taiwan[J]. International Real Estate Review, 21, 397-418(2018).

    [36] 陈会广, 刘忠原, 张耀宇. 房地产市场及其细分的调控重点区域划分理论与实证: 以中国35个大中城市为例[J]. 资源科学, 2012,34(10):1871-1880.

    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
    Download Citation