Research on the Influence of Loans Supply on Real Estate Market Based on SVAR Model

被引:0
|
作者
Hu Naipeng [1 ]
机构
[1] NE Agr Univ, Coll Econ & Management, Harbin 150030, Peoples R China
关键词
real estate market; SVAR model; credit supply;
D O I
暂无
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
Since the reform of house monetarization in 1998 in China, Chinese real estate investment and real estate price have been increasing very fast by the end of 2008. In China real estate industry, a pillar industry and a capital intensive industry, has closed relation with the quota of real estate credit supply. By SVAR model this paper uses monthly data of 1999-2008 to test the influence of real estate credit on real estate market. The result shows: the response from real estate investment to credit impact is like parabola which appears to have a decline trend to 0 after an initial ascent; but the response from real estate sale price is a negative trend after an initial positive trend. It is suggested that in the overheating real estate market, tight monetary policy can have a substantial action on restrict real estate supply and demand in short term, but the efficacy of credit policy has asymmetry in supply and demand. So this paper suggests when the real estate market is full of speculation with a great pressure of real estate price soaring up, the center bank can use credit policy together with tax and land policies to control short-term real estate market.
引用
收藏
页码:1056 / 1058
页数:3
相关论文
共 50 条
  • [21] The impact of social influence in Australian real estate: market forecasting with a spatial agent-based model
    Evans, Benjamin Patrick
    Glavatskiy, Kirill
    Harre, Michael S.
    Prokopenko, Mikhail
    JOURNAL OF ECONOMIC INTERACTION AND COORDINATION, 2023, 18 (01) : 5 - 57
  • [22] The impact of social influence in Australian real estate: market forecasting with a spatial agent-based model
    Benjamin Patrick Evans
    Kirill Glavatskiy
    Michael S. Harré
    Mikhail Prokopenko
    Journal of Economic Interaction and Coordination, 2023, 18 : 5 - 57
  • [23] A bidding decision model based on multicast in supply chain of real estate
    Ming, Yang
    Feng, Yuqiang
    PROCEEDINGS OF 2007 INTERNATIONAL CONFERENCE ON CONSTRUCTION & REAL ESTATE MANAGEMENT, VOLS 1 AND 2, 2007, : 873 - 877
  • [24] The Impacts of Supply and Demand Analysis on the Price of the Real Estate Market
    Ma, Haiying
    Li, Jiangqiao
    PROCEEDINGS OF THE 7TH INTERNATIONAL CONFERENCE ON EDUCATION, MANAGEMENT, INFORMATION AND MECHANICAL ENGINEERING (EMIM 2017), 2017, 76 : 1885 - 1889
  • [25] MATHEMATICAL FORMULAS FOR CALCULATING INTEREST COST, MARKET PRICES, AND YIELDS OF REAL ESTATE LOANS
    VIDGER, LP
    LAND ECONOMICS, 1968, 44 (03) : 409 - 414
  • [26] Demand-supply analysis of Harbin real estate market
    Yang, Xiang
    PROCEEDINGS OF 2007 INTERNATIONAL CONFERENCE ON CONSTRUCTION & REAL ESTATE MANAGEMENT, VOLS 1 AND 2, 2007, : 1354 - 1357
  • [27] Supply adjustments to demand shocks in the commercial real estate market
    Lentz, GH
    Tse, KSM
    REAL ESTATE ECONOMICS, 1999, 27 (02) : 231 - 262
  • [28] RESEARCH ON THE METHOD OF SUPPLY CHAIN MANAGEMENT FOR REAL ESTATE
    Chen, Yongdang
    Wang, Yang
    Ren, Huijuan
    Wang, Yuxin
    2011 3RD INTERNATIONAL CONFERENCE ON COMPUTER TECHNOLOGY AND DEVELOPMENT (ICCTD 2011), VOL 3, 2012, : 473 - 477
  • [29] Research of Shenyang real estate market based on generalized regression neural network
    Zhao, Liang
    Wang, Lian-Guang
    Qi, Xi-Jing
    Dongbei Daxue Xuebao/Journal of Northeastern University, 2014, 35 (08): : 1203 - 1205
  • [30] LSTM-Based Research on Stock Price Prediction in the Real Estate Market
    Gao, Fangyi
    Learning and Analytics in Intelligent Systems, 2024, 42 : 456 - 471