A vector auto regression model applied to real estate development investment : a statistic analysis

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Authors

Liu, Fengyun
Matsuno, Shuji
Malekian, Reza
Yu, Jin
Li, Zhixiong

Journal Title

Journal ISSN

Volume Title

Publisher

MDPI Publishing

Abstract

This study analyzes the economic system dynamics of investment in real estate from mainly four participants in China. Local governments limit the supply of commercial and residential land to raise fiscal revenue, and expand debts by land mortgage to develop industrial zones and parks. Led by local government, banks and real estate development enterprises forge a coalition on real estate investment and facilitate real estate price appreciation. The above theoretical model is empirically evidenced with VAR (Vector Auto Regression) methodology. A panel VAR model shows that land leasing and real estate price appreciation positively affect local government general fiscal revenue. Additional VAR models find that bank credit in addition to private and foreign funds respectively have strong positive dynamic effects on housing prices. Housing prices also have a strong positive impact on speculation from private funds and hot money.

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Keywords

Socioeconomic, Economic system dynamics, Real estate investment, Statistical analysis

Sustainable Development Goals

Citation

Liu, F, Matsuno,S, Malekian, R, Yu, J & Li, Z 2016, 'A vector auto regression model applied to real estate development investment : a statistic analysis', Sustainability, vol. 8, pp. 1-19.