Chapter
Dec 15, 2022
Spatial Correlation between Innovation Aggregation and Housing Prices
Publication: ICCREM 2022
ABSTRACT
Innovation factors are an important basis for improving the quality of regional economy, but also affect the sustainable development of the real estate market. Using the panel data of 30 provinces in China as a sample, this paper empirically studies the impact of the aggregation of innovation factors on housing prices by using spatial econometric model. The research shows that under the dynamic innovation factor flow weight matrix, housing prices have spatial autocorrelation, and this correlation shows an increasing trend year by year. The spatial aggregation of innovation factors has an obvious positive impact on the rise of housing prices. The dynamic flow of scientific and technological talents is conducive to promoting the spatial spillover and overall rise of housing prices.
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REFERENCES
Anselin, L. (1988). Spatial econometrics: Methods and models. Kluwer Academic, Dordrecht.
Arellano, M., and Bond, S. (1991). “Some tests of specification for panel data: Monte Carlo evidence and an application to employment equations.” Review of Economic Studies, 58, 277–297.
Chen, B. K., Jin, X., and Ouyang, D. F. (2015). “Housing price, resource mismatch and productivity of Chinese industrial enterprises.” World Economy, 038(004), 77–98. (in Chinese).
Fan, X. Y., and Zhang, S. D. (2018). “An empirical study on the measurement of urban innovation efficiency and its impact on house price differentiation.” Mathematical Statistics and Management, (01), 135–145. (in Chinese).
Feng, Z., Tan, L. Y., and Zhang, S. D. (2019). “Research on the impact of innovation factors on housing price.” Economic Problem, (08), 99–120. (in Chinese).
Gao, H. X., and Wang, C. (2021). “Innovation factor, spatial correlation and housing price.” Han Jiang Forum, (06), 20–29. (in Chinese).
Quercia, R. G., Stegman, M. A., and Davis, W. R. (2002). “Does a high-tech boom worsen housing problems for working families?”, Housing Policy Debate, 13(2), 393–415.
Information & Authors
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Published In
ICCREM 2022
Pages: 581 - 587
History
Published online: Dec 15, 2022
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1Professor, School of Government, Beijing Normal Univ., Beijing, China. Email: [email protected]
2Ph.D. Candidate, School of Government, Beijing Normal Univ., Beijing, China. Email: [email protected]
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Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.