The relationship amid land finance and economic growth with the mediating role of housing prices in China
Qian Sun, Qian Sun, Yan Feng and 5 more
Frontiers in Psychology · 2022
doi:10.3389/fpsyg.2022.976236 (opens in a new tab)
We email you when a new notice or a question about this paper appears.
Abstract
Taking cities at prefecture-level and above in China as the research object, we theoretically analyze the effects of land finance on housing prices and economic growth as well as the effects of housing prices on economic growth, consider the mediating role of housing prices, and construct a random-effects model of land finance affecting economic growth. It is of great significance to make rational use of land finance to promote the economic development and formulate the “city specific policies” plan for the real estate market. The 278 resource-based cities with relatively well-developed land and real estate markets in China are selected to test the mediating effect of housing prices on land finance affecting economic growth in resource-based cities by type based on panel data from 2011–2019. The results show that (1) land finance significantly and positively affects economic growth and housing prices in cities at the prefecture-level and above nationwide, but there is some variability in the degree of influence. The central region has the smallest impact on economic growth but the largest impact on housing prices; the eastern region has the deepest impact on economic growth; and the western region has the smallest impact on housing prices. (2) In the national sample cities and cities in the northeast region, housing prices have a significant partial mediating effect at the 1% level on economic growth affected by land finance, accounting for 22.03 and 2.84%, respectively. The mediating effect of urban housing prices on land finance affects economic growth in the eastern, central, and western regions is not significant.
Abstract licence: CC BY
References17
17 more references, whose wording the paper’s licence keeps private.
Reads
Read by people on this page
None yet.
Checked or read by AI through naulon
None yet.
A person counts once a day per paper. We keep no cookie and no address: a reader is a hash that changes every day. Any month under five reads shows no number.
Are you an author?
Is this your paper?
Claim it to add your note and be paid when agents cite it. Free.