Housing price fluctuations and financial risk transmission: a spatial economic model
Financial risk derived from housing price fluctuations in China garnered much public concern recently. Based on the theoretical analyses of the transmission of financial risk from housing price fluctuations, this paper establishes panel spatial Durbin models to empirically analyse housing price fluc...
Gespeichert in:
Veröffentlicht in: | Applied economics 2019-11, Vol.51 (53), p.5767-5780 |
---|---|
Hauptverfasser: | , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 5780 |
---|---|
container_issue | 53 |
container_start_page | 5767 |
container_title | Applied economics |
container_volume | 51 |
creator | Liu, Fengyun Ren, Honghao Liu, Chuanzhe |
description | Financial risk derived from housing price fluctuations in China garnered much public concern recently. Based on the theoretical analyses of the transmission of financial risk from housing price fluctuations, this paper establishes panel spatial Durbin models to empirically analyse housing price fluctuations and financial risks transmission from a spatial economic perspective. Employing the panel provincial data from 1999-2015, we conduct an analysis on the 30 provinces in China as well as a comparison among the Eastern, Middle and Western regions of China. The results indicate that: (1) The soaring housing prices driven by bank credit, real estate developers' heavy investment, local governments' land revenue and individuals and households demands leads to financial risk in various sectors; (2) due to the 'substitution effect', the capital agglomeration in metropolis from bank credits, real estate developers, and individuals and households furthers the amassment of financial risks; (3) housing prices have a significant spatial contagion effect throughout the country, and financial risk could directly transmit across provinces through housing price fluctuations; (4) financial risks could indirectly transmit across provinces via the 'imitative behaviour' or 'driving effect' of different sectors for different regions of China. |
doi_str_mv | 10.1080/00036846.2019.1619025 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2277759631</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2277759631</sourcerecordid><originalsourceid>FETCH-LOGICAL-c428t-781028e20d86ea85ace1739d5e9c211474c90df1cf681ba264bc3d470e7a56543</originalsourceid><addsrcrecordid>eNp9kMtKAzEUhoMoWKuPIARcT81tkowrpagVCm7qOqSZRFJnkprMIH17M1Rx5yoc8v3n8gFwjdECI4luEUKUS8YXBOFmgTluEKlPwAwzzitGJD0Fs4mpJugcXOS8KyUmVMzAZhXH7MM73CdvLHTdaIZRDz6GDHVoofNBB-N1B5PPH3BIOuTe51yAO6hh3he2fFoTQ-y9gX1sbXcJzpzusr36eefg7elxs1xV69fnl-XDujJlq6ESEiMiLUGt5FbLWhuLBW3a2jaGYMwEMw1qHTaOS7zVhLOtoS0TyApd85rRObg59t2n-DnaPKhdHFMoIxUhQoi64RQXqj5SJsWck3Wq3NrrdFAYqUmg-hWoJoHqR2DJwWNuOs7nvxRvyvqYM1GQ-yPig4up118xda0a9KGLyaVJXFb0_ynfa2yBmQ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2277759631</pqid></control><display><type>article</type><title>Housing price fluctuations and financial risk transmission: a spatial economic model</title><source>EBSCOhost Business Source Complete</source><creator>Liu, Fengyun ; Ren, Honghao ; Liu, Chuanzhe</creator><creatorcontrib>Liu, Fengyun ; Ren, Honghao ; Liu, Chuanzhe</creatorcontrib><description>Financial risk derived from housing price fluctuations in China garnered much public concern recently. Based on the theoretical analyses of the transmission of financial risk from housing price fluctuations, this paper establishes panel spatial Durbin models to empirically analyse housing price fluctuations and financial risks transmission from a spatial economic perspective. Employing the panel provincial data from 1999-2015, we conduct an analysis on the 30 provinces in China as well as a comparison among the Eastern, Middle and Western regions of China. The results indicate that: (1) The soaring housing prices driven by bank credit, real estate developers' heavy investment, local governments' land revenue and individuals and households demands leads to financial risk in various sectors; (2) due to the 'substitution effect', the capital agglomeration in metropolis from bank credits, real estate developers, and individuals and households furthers the amassment of financial risks; (3) housing prices have a significant spatial contagion effect throughout the country, and financial risk could directly transmit across provinces through housing price fluctuations; (4) financial risks could indirectly transmit across provinces via the 'imitative behaviour' or 'driving effect' of different sectors for different regions of China.</description><identifier>ISSN: 0003-6846</identifier><identifier>EISSN: 1466-4283</identifier><identifier>DOI: 10.1080/00036846.2019.1619025</identifier><language>eng</language><publisher>London: Routledge</publisher><subject>Capital ; Contagion ; Cost of living ; Developers ; Economic analysis ; Economic theory ; financial risk ; Households ; Housing ; Housing costs ; Housing price ; Housing prices ; investment ; Local government ; Prices ; Provinces ; Public interest ; Real estate ; spatial diffusion</subject><ispartof>Applied economics, 2019-11, Vol.51 (53), p.5767-5780</ispartof><rights>2019 Informa UK Limited, trading as Taylor & Francis Group 2019</rights><rights>2019 Informa UK Limited, trading as Taylor & Francis Group</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c428t-781028e20d86ea85ace1739d5e9c211474c90df1cf681ba264bc3d470e7a56543</citedby><cites>FETCH-LOGICAL-c428t-781028e20d86ea85ace1739d5e9c211474c90df1cf681ba264bc3d470e7a56543</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Liu, Fengyun</creatorcontrib><creatorcontrib>Ren, Honghao</creatorcontrib><creatorcontrib>Liu, Chuanzhe</creatorcontrib><title>Housing price fluctuations and financial risk transmission: a spatial economic model</title><title>Applied economics</title><description>Financial risk derived from housing price fluctuations in China garnered much public concern recently. Based on the theoretical analyses of the transmission of financial risk from housing price fluctuations, this paper establishes panel spatial Durbin models to empirically analyse housing price fluctuations and financial risks transmission from a spatial economic perspective. Employing the panel provincial data from 1999-2015, we conduct an analysis on the 30 provinces in China as well as a comparison among the Eastern, Middle and Western regions of China. The results indicate that: (1) The soaring housing prices driven by bank credit, real estate developers' heavy investment, local governments' land revenue and individuals and households demands leads to financial risk in various sectors; (2) due to the 'substitution effect', the capital agglomeration in metropolis from bank credits, real estate developers, and individuals and households furthers the amassment of financial risks; (3) housing prices have a significant spatial contagion effect throughout the country, and financial risk could directly transmit across provinces through housing price fluctuations; (4) financial risks could indirectly transmit across provinces via the 'imitative behaviour' or 'driving effect' of different sectors for different regions of China.</description><subject>Capital</subject><subject>Contagion</subject><subject>Cost of living</subject><subject>Developers</subject><subject>Economic analysis</subject><subject>Economic theory</subject><subject>financial risk</subject><subject>Households</subject><subject>Housing</subject><subject>Housing costs</subject><subject>Housing price</subject><subject>Housing prices</subject><subject>investment</subject><subject>Local government</subject><subject>Prices</subject><subject>Provinces</subject><subject>Public interest</subject><subject>Real estate</subject><subject>spatial diffusion</subject><issn>0003-6846</issn><issn>1466-4283</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNp9kMtKAzEUhoMoWKuPIARcT81tkowrpagVCm7qOqSZRFJnkprMIH17M1Rx5yoc8v3n8gFwjdECI4luEUKUS8YXBOFmgTluEKlPwAwzzitGJD0Fs4mpJugcXOS8KyUmVMzAZhXH7MM73CdvLHTdaIZRDz6GDHVoofNBB-N1B5PPH3BIOuTe51yAO6hh3he2fFoTQ-y9gX1sbXcJzpzusr36eefg7elxs1xV69fnl-XDujJlq6ESEiMiLUGt5FbLWhuLBW3a2jaGYMwEMw1qHTaOS7zVhLOtoS0TyApd85rRObg59t2n-DnaPKhdHFMoIxUhQoi64RQXqj5SJsWck3Wq3NrrdFAYqUmg-hWoJoHqR2DJwWNuOs7nvxRvyvqYM1GQ-yPig4up118xda0a9KGLyaVJXFb0_ynfa2yBmQ</recordid><startdate>20191114</startdate><enddate>20191114</enddate><creator>Liu, Fengyun</creator><creator>Ren, Honghao</creator><creator>Liu, Chuanzhe</creator><general>Routledge</general><general>Taylor & Francis Ltd</general><scope>OQ6</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>8BJ</scope><scope>FQK</scope><scope>JBE</scope></search><sort><creationdate>20191114</creationdate><title>Housing price fluctuations and financial risk transmission: a spatial economic model</title><author>Liu, Fengyun ; Ren, Honghao ; Liu, Chuanzhe</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c428t-781028e20d86ea85ace1739d5e9c211474c90df1cf681ba264bc3d470e7a56543</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Capital</topic><topic>Contagion</topic><topic>Cost of living</topic><topic>Developers</topic><topic>Economic analysis</topic><topic>Economic theory</topic><topic>financial risk</topic><topic>Households</topic><topic>Housing</topic><topic>Housing costs</topic><topic>Housing price</topic><topic>Housing prices</topic><topic>investment</topic><topic>Local government</topic><topic>Prices</topic><topic>Provinces</topic><topic>Public interest</topic><topic>Real estate</topic><topic>spatial diffusion</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Liu, Fengyun</creatorcontrib><creatorcontrib>Ren, Honghao</creatorcontrib><creatorcontrib>Liu, Chuanzhe</creatorcontrib><collection>ECONIS</collection><collection>CrossRef</collection><collection>International Bibliography of the Social Sciences (IBSS)</collection><collection>International Bibliography of the Social Sciences</collection><collection>International Bibliography of the Social Sciences</collection><jtitle>Applied economics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Liu, Fengyun</au><au>Ren, Honghao</au><au>Liu, Chuanzhe</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Housing price fluctuations and financial risk transmission: a spatial economic model</atitle><jtitle>Applied economics</jtitle><date>2019-11-14</date><risdate>2019</risdate><volume>51</volume><issue>53</issue><spage>5767</spage><epage>5780</epage><pages>5767-5780</pages><issn>0003-6846</issn><eissn>1466-4283</eissn><abstract>Financial risk derived from housing price fluctuations in China garnered much public concern recently. Based on the theoretical analyses of the transmission of financial risk from housing price fluctuations, this paper establishes panel spatial Durbin models to empirically analyse housing price fluctuations and financial risks transmission from a spatial economic perspective. Employing the panel provincial data from 1999-2015, we conduct an analysis on the 30 provinces in China as well as a comparison among the Eastern, Middle and Western regions of China. The results indicate that: (1) The soaring housing prices driven by bank credit, real estate developers' heavy investment, local governments' land revenue and individuals and households demands leads to financial risk in various sectors; (2) due to the 'substitution effect', the capital agglomeration in metropolis from bank credits, real estate developers, and individuals and households furthers the amassment of financial risks; (3) housing prices have a significant spatial contagion effect throughout the country, and financial risk could directly transmit across provinces through housing price fluctuations; (4) financial risks could indirectly transmit across provinces via the 'imitative behaviour' or 'driving effect' of different sectors for different regions of China.</abstract><cop>London</cop><pub>Routledge</pub><doi>10.1080/00036846.2019.1619025</doi><tpages>14</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0003-6846 |
ispartof | Applied economics, 2019-11, Vol.51 (53), p.5767-5780 |
issn | 0003-6846 1466-4283 |
language | eng |
recordid | cdi_proquest_journals_2277759631 |
source | EBSCOhost Business Source Complete |
subjects | Capital Contagion Cost of living Developers Economic analysis Economic theory financial risk Households Housing Housing costs Housing price Housing prices investment Local government Prices Provinces Public interest Real estate spatial diffusion |
title | Housing price fluctuations and financial risk transmission: a spatial economic model |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-03T21%3A54%3A02IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Housing%20price%20fluctuations%20and%20financial%20risk%20transmission:%20a%20spatial%20economic%20model&rft.jtitle=Applied%20economics&rft.au=Liu,%20Fengyun&rft.date=2019-11-14&rft.volume=51&rft.issue=53&rft.spage=5767&rft.epage=5780&rft.pages=5767-5780&rft.issn=0003-6846&rft.eissn=1466-4283&rft_id=info:doi/10.1080/00036846.2019.1619025&rft_dat=%3Cproquest_cross%3E2277759631%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2277759631&rft_id=info:pmid/&rfr_iscdi=true |