“Ghost cities” versus boom towns: Do China's high-speed rail new towns thrive?
In China, local governments often build “new towns” far from the city center but close to new high-speed rail (HSR) stations. While some HSR new towns experience economic growth, others have been vacant for years and become “ghost cities.” This study explores the determinants of this heterogeneity....
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Veröffentlicht in: | Regional science and urban economics 2021-07, Vol.89, p.103682, Article 103682 |
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creator | Dong, Lei Du, Rui Kahn, Matthew Ratti, Carlo Zheng, Siqi |
description | In China, local governments often build “new towns” far from the city center but close to new high-speed rail (HSR) stations. While some HSR new towns experience economic growth, others have been vacant for years and become “ghost cities.” This study explores the determinants of this heterogeneity. Using satellite imagery and online archives of government documents, we identify 180 HSR new towns. We use several datasets to measure local economic growth at a fine spatial scale. Building on the recent economic geography literature, we implement an instrumental variable strategy and a difference-in-differences approach that estimates the treatment effect with counterfactual locations to study how the creation of a new HSR station stimulates local economic growth. We find that the location and local market access are key determinants of the success of new towns. “Ghost cities” are more likely to emerge if the new stations are located too far from the existing city center or the city itself has weak market access.
•We identify 180 HSR new towns in China using satellite imagery and online archives of government documents.•We implement an instrumental variable strategy and a difference-in-differences approach to address endogeneity issues.•We find that the location and local market access are key determinants of the success of new towns.•Some “ghost cities” with good location and strong local market access are likely to prosper eventually. |
doi_str_mv | 10.1016/j.regsciurbeco.2021.103682 |
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•We identify 180 HSR new towns in China using satellite imagery and online archives of government documents.•We implement an instrumental variable strategy and a difference-in-differences approach to address endogeneity issues.•We find that the location and local market access are key determinants of the success of new towns.•Some “ghost cities” with good location and strong local market access are likely to prosper eventually.</description><subject>Access</subject><subject>Agglomeration</subject><subject>Cities</subject><subject>Digital archives</subject><subject>Economic geography</subject><subject>Economic growth</subject><subject>High speed rail</subject><subject>Imagery</subject><subject>Local government</subject><subject>New town creation</subject><subject>New towns</subject><issn>0166-0462</issn><issn>1879-2308</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNqNkEFOwzAQRS0EEqVwBwsWrFLsJHbSbhBqoSAhIaHuLduZNI7auNhJK3Y9CFyuJ8FVWLBk9aWZ9_9oPkLXlIwoofyuHjlYem06p0DbUUxiGhYJz-MTNKB5No7ihOSnaBBgHpGUx-fowvuakDCIkwF6P-y_5pX1LdamNeAP-2-8Bec7j5W1a9zaXeMneGbxtDKNvPW4Mssq8huAAjtpVriBXU_htnJmC_eX6KyUKw9XvzpEi6fHxfQ5en2bv0wfXiOdMtpGWVpASkoOjJKcMipLztm4VFrKcaYl0EypNFWapHqsMlkyIoOypFBlkUiZDNFNH7tx9qMD34radq4JF0XMWJIzlnMeqElPaWe9d1CKjTNr6T4FJeJYoajF3wrFsULRVxjMs94M4Y2tAScCB42GwjjQrSis-U_MD0dqg4M</recordid><startdate>202107</startdate><enddate>202107</enddate><creator>Dong, Lei</creator><creator>Du, Rui</creator><creator>Kahn, Matthew</creator><creator>Ratti, Carlo</creator><creator>Zheng, Siqi</creator><general>Elsevier B.V</general><general>Elsevier Sequoia S.A</general><scope>AAYXX</scope><scope>CITATION</scope><scope>8BJ</scope><scope>FQK</scope><scope>JBE</scope></search><sort><creationdate>202107</creationdate><title>“Ghost cities” versus boom towns: Do China's high-speed rail new towns thrive?</title><author>Dong, Lei ; Du, Rui ; Kahn, Matthew ; Ratti, Carlo ; Zheng, Siqi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c451t-74de40f6e5108151af6659fbcaa97cae17bb44bc04c9b7af50a9b753dbfd3aa3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Access</topic><topic>Agglomeration</topic><topic>Cities</topic><topic>Digital archives</topic><topic>Economic geography</topic><topic>Economic growth</topic><topic>High speed rail</topic><topic>Imagery</topic><topic>Local government</topic><topic>New town creation</topic><topic>New towns</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Dong, Lei</creatorcontrib><creatorcontrib>Du, Rui</creatorcontrib><creatorcontrib>Kahn, Matthew</creatorcontrib><creatorcontrib>Ratti, Carlo</creatorcontrib><creatorcontrib>Zheng, Siqi</creatorcontrib><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>Regional science and urban economics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Dong, Lei</au><au>Du, Rui</au><au>Kahn, Matthew</au><au>Ratti, Carlo</au><au>Zheng, Siqi</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>“Ghost cities” versus boom towns: Do China's high-speed rail new towns thrive?</atitle><jtitle>Regional science and urban economics</jtitle><date>2021-07</date><risdate>2021</risdate><volume>89</volume><spage>103682</spage><pages>103682-</pages><artnum>103682</artnum><issn>0166-0462</issn><eissn>1879-2308</eissn><abstract>In China, local governments often build “new towns” far from the city center but close to new high-speed rail (HSR) stations. While some HSR new towns experience economic growth, others have been vacant for years and become “ghost cities.” This study explores the determinants of this heterogeneity. Using satellite imagery and online archives of government documents, we identify 180 HSR new towns. We use several datasets to measure local economic growth at a fine spatial scale. Building on the recent economic geography literature, we implement an instrumental variable strategy and a difference-in-differences approach that estimates the treatment effect with counterfactual locations to study how the creation of a new HSR station stimulates local economic growth. We find that the location and local market access are key determinants of the success of new towns. “Ghost cities” are more likely to emerge if the new stations are located too far from the existing city center or the city itself has weak market access.
•We identify 180 HSR new towns in China using satellite imagery and online archives of government documents.•We implement an instrumental variable strategy and a difference-in-differences approach to address endogeneity issues.•We find that the location and local market access are key determinants of the success of new towns.•Some “ghost cities” with good location and strong local market access are likely to prosper eventually.</abstract><cop>Amsterdam</cop><pub>Elsevier B.V</pub><doi>10.1016/j.regsciurbeco.2021.103682</doi></addata></record> |
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subjects | Access Agglomeration Cities Digital archives Economic geography Economic growth High speed rail Imagery Local government New town creation New towns |
title | “Ghost cities” versus boom towns: Do China's high-speed rail new towns thrive? |
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