The current research on housing prices mainly concentrates on the cause of fluctuations from the view of the aggregate economy. However, the economic growth rates are relatively stable across time and even across regions, thus making it difficult to reconcile the tremendous yet persistent rising in housing prices. Though the concurring volatile financial factors can partly explain the overall growth of housing prices because of its similar rising trend, the factors taken into account are restricted within the macro perspectives, for example, by investigating the changes of a stock index(such as the Shanghai Composite Index). The differences across regions of housing prices remain by and large unexplained. In fact, the literature of studying the relationship between financial development and the regional economic gap has been growing, but investigating from the micro perspectives still remains limited. For this reason, this paper attempts to find out the reason why the listed companies yield different effects on housing prices in different regions: capital siphons. The siphon effect originates from the physical term " siphon phenomenon”, which refers to the one-way flow of water caused by different gravitational and potential forces. In this paper, we propose that the capital siphon results in the flow of capital from less developed to relatively wealthier regions. Studying the siphon effect after IPO is of great practical significance. First, previous literature pays little attention to capital siphons after IPO. Most of the related studies are qualitative analyses, or merely explore the relationship between stocks and GDP index without micro foundations. Second, capital siphons indeed have important effects on regional differences. This micro level analysis can be decomposed into two questions: First, how do listed companies siphon funds to reserve money for the local real estate market and do capital siphons affect the housing price? Second, when the siphoned capital enters into the real estate market will affect the growth structure of the market value and housing prices? This study shows that financing from the primary market and insiders sell from the secondary market tend to "siphon" the national capital and increase the local currency, and then push up housing prices. Equivalently speaking, the area which is financing more or selling more will siphon capital from other areas. The siphon effect from insiders sell is different from that of financing: the former stimulates the accumulation of wealth, that is, the demand of rich strata drives housing prices mainly, while the latter has little impact on wealth accumulation. The price fluctuation in the secondary market determines the growth rhythm of housing prices, and spiral growth relationship is found between the market value of stocks and housing prices at the regional level. The substitution effect of stock markets is dominant in the bull market, in which the growth of the market value is negatively correlated with that of housing prices, while the wealth effect is dominant in the bear market, in which the relationship between the market value and housing prices is positive. In addition, the conclusion remained unchanged when we controlled some potential paths, which includes the population siphon path, the favored economic boost policy path and the first-tier cities siphon path. With the effect that siphoned capital exacerbates regional differences of housing prices is significant, the controversial Opinions for Poverty Alleviation enacted by China Securities Regulatory Commission(CSRC)in 2016 becomes reasonable and acceptable. In the future, the central and western regions, which are relatively backward in capital market development, should be offered certain favorable policies to encourage the capital to remain in the original area, in the hope that regional differences in housing prices can be mitigated. This study contributes to the literature in the following aspects: First, it is the leading study to verify the capital siphon effect and to explain the financial causes and paths of regional differences in housing prices from the micro foundations. Second, it studies the influence of listed company on the regional economy from the perspectives of capital and housing prices. Third, it also clarifies the growth structure of stock markets and housing prices. Finally, this study provides a theoretical reference for regional economic coordination policies.
/ Journals / Journal of Finance and Economics
Journal of Finance and Economics
LiuYuanchun, Editor-in-Chief
ZhengChunrong, Vice Executive Editor-in-Chief
YaoLan BaoXiaohua HuangJun, Vice Editor-in-Chief
On Regional Differences in the Relationship among Stocks, Capital Siphons and Housing Prices
Journal of Finance and Economics Vol. 44, Issue 07, pp. 99 - 113 (2018) DOI:10.16538/j.cnki.jfe.2018.07.008
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References
Summary
[1] Chao X J, Ren B P. The fluctuation and regional difference of quality of economic growth in China[J]. Economic Research Journal, 2011, (4): 26-40. (In Chinese)
[2] Chen B K, Zhang C C. Human capital and housing prices in Chinese cities[J]. Social Sciences in China, 2016, (5): 43-64. (In Chinese)
[3] Cui G Q, Wang J W. Regional financial differences and government behavior in China: Theoretical and empirical explanations[J]. Journal of Financial Research, 2006, (6): 79-89. (In Chinese)
[4] Fan H Z, Li G P. The flow of capital and population: Externalities and regional economic disparity[J]. The Journal of World Economy, 2003, (10): 50-61. (In Chinese)
[5] Lars Tvede. Business cycles: History, theory and investment reality[M]. Translated by Dong Yuping. Beijing: Citic press, 2012.
[6] Li J, Deng Y. A study of the monetary factors promoting the rise of house prices: Empirical comparative analysis based on the period of bubble accumulation in the US, Japan and China[J]. Journal of Financial Research, 2011, (6): 18-32. (In Chinese)
[7] Li Z F, Yu S J, Zheng J. Real estate attributes, income gap and change trend of housing price[J]. Journal of Finance and Economics, 2016, (7): 122-133. (In Chinese)
[8] Liu H D. Research on siphon effect of the size of the domestic market and innovation elements gathering[J]. Science of Science and Management of S.&T., 2013, (7): 104-112. (In Chinese)
[9] Lu J S, Wan L J. Effect of IPO financing on economic of ethnic minority area[J]. Journal of Anhui Sciences, 2010, (26): 14674-14675. (In Chinese)
[10] Ni P F, Liu W, Huang S H. Securities market, capital space allocation and coordinated development of regional economy: A perspective of spacial economics[J]. Economic Research Journal, 2014, (5): 121-132. (In Chinese)
[11] Qian X A. Excess liquidity and monetary policy[J]. Journal of Financial Research, 2007, (8): 15-30. (In Chinese)
[12] Wang J Q, Zhang X Y, Liu Q S. Regional distribution of China’s financial resources and its impact on regional economic growth[J]. Journal of Financial Research, 2007, (6): 100-108. (In Chinese)
[13] Wang Q, Han X T. Can monetary policy keep a close watch on asset prices? Evidence from China’s real estate market[J]. Journal of Financial Research, 2009, (8): 114-123. (In Chinese)
[14] Xiong Y, Li C Q, Wei Z H. Media reports and IPO pricing efficiency: Based on the perspective of information asymmetry and behavioral finance[J]. The Journal of World Economy, 2014, (5): 135-160. (In Chinese)
[15] Xiong Y, Yang J. Authenticating, transmission or governance? Media coverage and IPO performance change[J]. Finance & Trade Economics, 2017, (6): 66-79. (In Chinese)
[16] Yang J S. Expectation, excess liquidity and inflation dynamics in China[J]. Economic Research Journal, 2009, (1): 106-117. (In Chinese)
[17] Zhai Q H, Ye M H, Su J. The double helix model and empirical study of entrepreneurial activity and economic growth[J]. Science & Technology Progress and Policy, 2012, (14): 1-5. (In Chinese)
[18] Zhang C C, Jia S, Yang R D. The rat tribe in the ghost towns: Income inequality and real estate bubble[J]. The Journal of World Economy, 2016, (2): 120-141. (In Chinese)
[19] Zhang H, Li Z F, Deng B J. Policy uncertainty, macro shock and house price fluctuation: An empirical analysis based on LSTVAR model[J]. Journal of Financial Research, 2015, (10): 32-47. (In Chinese)
[20] Zhang K Z, Tao D J. The economic distribution effect of transport infrastructure: Evidence from high-speed railway opening[J]. Economics Perspectives, 2016, (6): 62-73. (In Chinese)
[21] Zhang W Z, Yu J H, Zhan D S, et al. A study of livable cities in China[M]. Beijing: Science Press, 2016. (In Chinese)
[22] Ahearne A G, Ammer J, Doyle B M, et al. House prices and monetary policy: A cross-country study[J]. Social Science Electronic Publishing, 2005, 49: 65-78.
[23] Baker S R, Bloom N, Davis S J. Measuring economic policy uncertainty[R]. Chicago Booth Research Paper No. 13-02, 2013.
[24] Fung M K. Financial development and economic growth: Convergence or divergence?[J]. Journal of International Money and Finance, 2009, 28(1): 56-67. DOI:10.1016/j.jimonfin.2008.08.001
[25] Kapopoulos P, Siokis F. Stock and real estate prices in Greece: Wealth versus ‘credit-price’ effect[J]. Applied Economics Letters, 2005, 12(2): 125-128. DOI:10.1080/1350485042000307107
[26] Sutton G. Explaining changes in house prices[J]. BIS Quarterly Reviews, 2002(2): 46-55.
Cite this article
Xiong Yan, Wei Zhihua, Li Chao. On Regional Differences in the Relationship among Stocks, Capital Siphons and Housing Prices[J]. Journal of Finance and Economics, 2018, 44(7): 99-113.
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