
An analysis of the “direct effect” and “indirect effect” of urban housing prices on the upgrading of industrial structure——Based on data of 285 cities
Author(s) -
GuoMeng,
Du Zhong cheng,
Su Cai
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1792/1/012017
Subject(s) - china , sample (material) , order (exchange) , economic geography , measure (data warehouse) , geography , econometrics , economics , computer science , chemistry , archaeology , finance , chromatography , database
In order to investigate the extent of the impact of changes in urban housing prices on the transformation and upgrading of industrial structure and the spatial related characteristics under the big data environment, this paper based on the sample data of cities at prefecture level and above in China from 2007 to 2016 establishes a spatial dynamic Durbin model with spatial geographical proximity, spatial geographic distance and spatial economic distance as weight matrix, so as to measure the direct impact of housing price fluctuation on industrial structure upgrading Indirect effect and indirect effect.