The transmission mechanism of the housing price fluctuations on the global value chain position of manufacturing-evidence from China
Since the real estate market reform in 1998, China's house prices have been rising. High housing prices have exerted negative impacts on labour mobility, the investment environment and resident consumption, all of which may affect the overall resource allocation efficiency and the improvement o...
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description | Since the real estate market reform in 1998, China's house prices have been rising. High housing prices have exerted negative impacts on labour mobility, the investment environment and resident consumption, all of which may affect the overall resource allocation efficiency and the improvement of the global value chain position of China's manufacturing industry. However, there is little research on the mechanism of the impact of housing prices on the status of manufacturing global value chain. Based on the matching data of China and the OECD-TiVA from 2005 to 2016, the parallel multiple mediator model is adopted to empirically test the transmission mechanism of housing price fluctuation on the global value chain position of China's manufacturing industry in this study using human capital level, resident consumption level, resident consumption structure, and R&D investment level as the mediating variables. This article finds that although housing price fluctuations do not have a direct impact on the global value chain position of the manufacturing industry, human capital level and resident consumption structure do have positive and negative mediating effects, respectively. Finally, we put forward some suggestions to promote the global value chain position of China's manufacturing industry, which provides useful reference for policy makers. |
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High housing prices have exerted negative impacts on labour mobility, the investment environment and resident consumption, all of which may affect the overall resource allocation efficiency and the improvement of the global value chain position of China's manufacturing industry. However, there is little research on the mechanism of the impact of housing prices on the status of manufacturing global value chain. Based on the matching data of China and the OECD-TiVA from 2005 to 2016, the parallel multiple mediator model is adopted to empirically test the transmission mechanism of housing price fluctuation on the global value chain position of China's manufacturing industry in this study using human capital level, resident consumption level, resident consumption structure, and R&D investment level as the mediating variables. This article finds that although housing price fluctuations do not have a direct impact on the global value chain position of the manufacturing industry, human capital level and resident consumption structure do have positive and negative mediating effects, respectively. Finally, we put forward some suggestions to promote the global value chain position of China's manufacturing industry, which provides useful reference for policy makers.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0228598</identifier><identifier>PMID: 32109247</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>China ; Construction Industry - economics ; Consumption ; Costs and Cost Analysis ; Earth Sciences ; Economic growth ; Fluctuations ; Housing ; Housing - economics ; Housing prices ; Human capital ; Investment ; Manufacturing industry ; Models, Economic ; People and Places ; Pricing ; Production management ; Real estate ; Resource allocation ; Resource efficiency ; Social Sciences ; Socioeconomic Factors ; Supply chains ; Value chain</subject><ispartof>PloS one, 2020-02, Vol.15 (2), p.e0228598-e0228598</ispartof><rights>COPYRIGHT 2020 Public Library of Science</rights><rights>2020 Zhang et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. 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High housing prices have exerted negative impacts on labour mobility, the investment environment and resident consumption, all of which may affect the overall resource allocation efficiency and the improvement of the global value chain position of China's manufacturing industry. However, there is little research on the mechanism of the impact of housing prices on the status of manufacturing global value chain. Based on the matching data of China and the OECD-TiVA from 2005 to 2016, the parallel multiple mediator model is adopted to empirically test the transmission mechanism of housing price fluctuation on the global value chain position of China's manufacturing industry in this study using human capital level, resident consumption level, resident consumption structure, and R&D investment level as the mediating variables. This article finds that although housing price fluctuations do not have a direct impact on the global value chain position of the manufacturing industry, human capital level and resident consumption structure do have positive and negative mediating effects, respectively. Finally, we put forward some suggestions to promote the global value chain position of China's manufacturing industry, which provides useful reference for policy makers.</description><subject>China</subject><subject>Construction Industry - economics</subject><subject>Consumption</subject><subject>Costs and Cost Analysis</subject><subject>Earth Sciences</subject><subject>Economic growth</subject><subject>Fluctuations</subject><subject>Housing</subject><subject>Housing - economics</subject><subject>Housing prices</subject><subject>Human capital</subject><subject>Investment</subject><subject>Manufacturing industry</subject><subject>Models, Economic</subject><subject>People and Places</subject><subject>Pricing</subject><subject>Production management</subject><subject>Real estate</subject><subject>Resource allocation</subject><subject>Resource efficiency</subject><subject>Social Sciences</subject><subject>Socioeconomic Factors</subject><subject>Supply chains</subject><subject>Value chain</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><sourceid>DOA</sourceid><recordid>eNqNk12L1DAUhoso7rr6D0QLgujFjEmTtsmNsAx-DCws6OptOE2TNkuazDbtoPf-cNOd7jKVvZBcJCTP-ybnnJwkeYnRGpMSf7j2Y-_ArnfeqTXKMpZz9ig5xZxkqyJD5PHR-iR5FsI1QjlhRfE0OSEZRjyj5Wny56pV6dCDC50JwXiXdkq24EzoUq_TIZ62fgzGNemuN1Kl2o5yGGGIaEgjPhGN9RXYdA92VGlUG5fufDATM5l04EYNUdVHm5Xam1q5yan3XbppjYPnyRMNNqgX83yW_Pj86WrzdXVx-WW7Ob9YyYJnw6rmRFYck1qBxrzQWGvOdAElLiqZ14gSrIBWOaV5WTGWVRRIpQFzVquiUiU5S14ffHfWBzEnMIiMFCWjtMxYJLYHovZwLWLEHfS_hQcjbjd83wjoByOtEphLVJMaFJQ1RUxXrNR5zikpNGQ4r6PXx_m2sepULZWLebYL0-WJM61o_F6UiLKsnJ77bjbo_c2owiBijaSyFpyKNZnezSkihKCIvvkHfTi6mWogBmCc9vFeOZmK8wLnOcM0n6j1A1QcteqMjL9Nm7i_ELxfCCIzqF9DA2MIYvv92_-zlz-X7NsjtlVghzZ4O97-vSVID6DsfQi90vdJxkhMzXKXDTE1i5ibJcpeHRfoXnTXHeQvop4SNw</recordid><startdate>20200228</startdate><enddate>20200228</enddate><creator>Zhang, Jingyun</creator><creator>Liu, Guangping</creator><creator>Li, Xueyuan</creator><creator>Jiang, Han</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PHGZM</scope><scope>PHGZT</scope><scope>PIMPY</scope><scope>PJZUB</scope><scope>PKEHL</scope><scope>PPXIY</scope><scope>PQEST</scope><scope>PQGLB</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-1959-8327</orcidid></search><sort><creationdate>20200228</creationdate><title>The transmission mechanism of the housing price fluctuations on the global value chain position of manufacturing-evidence from China</title><author>Zhang, Jingyun ; Liu, Guangping ; Li, Xueyuan ; Jiang, Han</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c692t-d93cb913deaf196f1ff98f6a716bc5d0431ea4b54457b882b4a3bfa198de6be73</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>China</topic><topic>Construction Industry - 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhang, Jingyun</au><au>Liu, Guangping</au><au>Li, Xueyuan</au><au>Jiang, Han</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The transmission mechanism of the housing price fluctuations on the global value chain position of manufacturing-evidence from China</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2020-02-28</date><risdate>2020</risdate><volume>15</volume><issue>2</issue><spage>e0228598</spage><epage>e0228598</epage><pages>e0228598-e0228598</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Since the real estate market reform in 1998, China's house prices have been rising. High housing prices have exerted negative impacts on labour mobility, the investment environment and resident consumption, all of which may affect the overall resource allocation efficiency and the improvement of the global value chain position of China's manufacturing industry. However, there is little research on the mechanism of the impact of housing prices on the status of manufacturing global value chain. Based on the matching data of China and the OECD-TiVA from 2005 to 2016, the parallel multiple mediator model is adopted to empirically test the transmission mechanism of housing price fluctuation on the global value chain position of China's manufacturing industry in this study using human capital level, resident consumption level, resident consumption structure, and R&D investment level as the mediating variables. This article finds that although housing price fluctuations do not have a direct impact on the global value chain position of the manufacturing industry, human capital level and resident consumption structure do have positive and negative mediating effects, respectively. Finally, we put forward some suggestions to promote the global value chain position of China's manufacturing industry, which provides useful reference for policy makers.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>32109247</pmid><doi>10.1371/journal.pone.0228598</doi><tpages>e0228598</tpages><orcidid>https://orcid.org/0000-0002-1959-8327</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | China Construction Industry - economics Consumption Costs and Cost Analysis Earth Sciences Economic growth Fluctuations Housing Housing - economics Housing prices Human capital Investment Manufacturing industry Models, Economic People and Places Pricing Production management Real estate Resource allocation Resource efficiency Social Sciences Socioeconomic Factors Supply chains Value chain |
title | The transmission mechanism of the housing price fluctuations on the global value chain position of manufacturing-evidence from China |
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