Open Government Data and the Urban–Rural Income Divide in China: An Exploration of Data Inequalities and Their Consequences

Amidst excitement for the data revolution’s potential benefits, concerns mount over its negative impact as unequal data distribution, access, and use widen disparities between individuals and groups, highlighting the urgent need for advanced theoretical and empirical frameworks. This study investiga...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Sustainability 2023-07, Vol.15 (13), p.9867
Hauptverfasser: Tan, Lu, Pei, Jingsong
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue 13
container_start_page 9867
container_title Sustainability
container_volume 15
creator Tan, Lu
Pei, Jingsong
description Amidst excitement for the data revolution’s potential benefits, concerns mount over its negative impact as unequal data distribution, access, and use widen disparities between individuals and groups, highlighting the urgent need for advanced theoretical and empirical frameworks. This study investigated the impact of open government data (OGD) on the urban–rural income divide in China. Our theoretical analysis shows that the nonrival nature of data initially widens the urban–rural income divide before eventually mitigating it, resulting in an inverted U-shaped relationship. Using a multiperiod difference-in-differences specification, we found that OGD widened the urban–rural income divide between 2010 and 2019. Furthermore, cities with initially wider urban–rural income divides experienced a greater impact from OGD in expanding this divide. These findings provide valuable insights in the role of open data in addressing income inequality, and contribute to our understanding of data inequalities in the context of the data revolution.
doi_str_mv 10.3390/su15139867
format Article
fullrecord <record><control><sourceid>gale_proqu</sourceid><recordid>TN_cdi_proquest_journals_2836502838</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A758354985</galeid><sourcerecordid>A758354985</sourcerecordid><originalsourceid>FETCH-LOGICAL-c368t-21c6d5836f88edb25860175d09314d0296f52ba98e92d0fe2e5eda35ac2257e83</originalsourceid><addsrcrecordid>eNpVkc1KAzEQxxdRUGovPkHAk0I1H81u1ltp_SgUhKrnJd3Mtim7SU2yRQ-C7-Ab-iRGV9DOwCTM_OY_A5MkJwRfMJbjS98STlgu0mwvOaI4IwOCOd7_9z9M-t6vcTTGSE7So-TtfgMG3dotONOACWgig0TSKBRWgJ7cQprP949562SNpqa0DaCJ3moFSBs0Xmkjr9DIoOuXTW2dDNoaZKtOZGrguZW1Dhr8j-LjCrRDY2t8LIApwR8nB5WsPfR_317ydHP9OL4bzO5vp-PRbFCyVIQBJWWquGBpJQSoBeUixSTjCueMDBWmeVpxupC5gJwqXAEFDkoyLktKeQaC9ZLTTnfjbBztQ7G2rTNxZEGjLMcxflMXHbWUNRTaVDY4WUZX0OjSGqh0zI-yuAkf5oLHhrOdhsgEeAlL2XpfTB_mu-x5x5bOeu-gKjZON9K9FgQX3-cr_s7HvgDuB4v_</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2836502838</pqid></control><display><type>article</type><title>Open Government Data and the Urban–Rural Income Divide in China: An Exploration of Data Inequalities and Their Consequences</title><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>MDPI - Multidisciplinary Digital Publishing Institute</source><creator>Tan, Lu ; Pei, Jingsong</creator><creatorcontrib>Tan, Lu ; Pei, Jingsong</creatorcontrib><description>Amidst excitement for the data revolution’s potential benefits, concerns mount over its negative impact as unequal data distribution, access, and use widen disparities between individuals and groups, highlighting the urgent need for advanced theoretical and empirical frameworks. This study investigated the impact of open government data (OGD) on the urban–rural income divide in China. Our theoretical analysis shows that the nonrival nature of data initially widens the urban–rural income divide before eventually mitigating it, resulting in an inverted U-shaped relationship. Using a multiperiod difference-in-differences specification, we found that OGD widened the urban–rural income divide between 2010 and 2019. Furthermore, cities with initially wider urban–rural income divides experienced a greater impact from OGD in expanding this divide. These findings provide valuable insights in the role of open data in addressing income inequality, and contribute to our understanding of data inequalities in the context of the data revolution.</description><identifier>ISSN: 2071-1050</identifier><identifier>EISSN: 2071-1050</identifier><identifier>DOI: 10.3390/su15139867</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Agriculture ; Analysis ; Digital divide ; Economic models ; Economics ; Human capital ; Hypotheses ; Income distribution ; Income inequality ; Information management ; Interdisciplinary aspects ; Open data ; Rural areas ; Skills ; Socioeconomics ; Sustainability ; Technology ; Theoretical analysis ; Urban areas</subject><ispartof>Sustainability, 2023-07, Vol.15 (13), p.9867</ispartof><rights>COPYRIGHT 2023 MDPI AG</rights><rights>2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c368t-21c6d5836f88edb25860175d09314d0296f52ba98e92d0fe2e5eda35ac2257e83</citedby><cites>FETCH-LOGICAL-c368t-21c6d5836f88edb25860175d09314d0296f52ba98e92d0fe2e5eda35ac2257e83</cites><orcidid>0000-0002-0760-4240</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27923,27924</link.rule.ids></links><search><creatorcontrib>Tan, Lu</creatorcontrib><creatorcontrib>Pei, Jingsong</creatorcontrib><title>Open Government Data and the Urban–Rural Income Divide in China: An Exploration of Data Inequalities and Their Consequences</title><title>Sustainability</title><description>Amidst excitement for the data revolution’s potential benefits, concerns mount over its negative impact as unequal data distribution, access, and use widen disparities between individuals and groups, highlighting the urgent need for advanced theoretical and empirical frameworks. This study investigated the impact of open government data (OGD) on the urban–rural income divide in China. Our theoretical analysis shows that the nonrival nature of data initially widens the urban–rural income divide before eventually mitigating it, resulting in an inverted U-shaped relationship. Using a multiperiod difference-in-differences specification, we found that OGD widened the urban–rural income divide between 2010 and 2019. Furthermore, cities with initially wider urban–rural income divides experienced a greater impact from OGD in expanding this divide. These findings provide valuable insights in the role of open data in addressing income inequality, and contribute to our understanding of data inequalities in the context of the data revolution.</description><subject>Agriculture</subject><subject>Analysis</subject><subject>Digital divide</subject><subject>Economic models</subject><subject>Economics</subject><subject>Human capital</subject><subject>Hypotheses</subject><subject>Income distribution</subject><subject>Income inequality</subject><subject>Information management</subject><subject>Interdisciplinary aspects</subject><subject>Open data</subject><subject>Rural areas</subject><subject>Skills</subject><subject>Socioeconomics</subject><subject>Sustainability</subject><subject>Technology</subject><subject>Theoretical analysis</subject><subject>Urban areas</subject><issn>2071-1050</issn><issn>2071-1050</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNpVkc1KAzEQxxdRUGovPkHAk0I1H81u1ltp_SgUhKrnJd3Mtim7SU2yRQ-C7-Ab-iRGV9DOwCTM_OY_A5MkJwRfMJbjS98STlgu0mwvOaI4IwOCOd7_9z9M-t6vcTTGSE7So-TtfgMG3dotONOACWgig0TSKBRWgJ7cQprP949562SNpqa0DaCJ3moFSBs0Xmkjr9DIoOuXTW2dDNoaZKtOZGrguZW1Dhr8j-LjCrRDY2t8LIApwR8nB5WsPfR_317ydHP9OL4bzO5vp-PRbFCyVIQBJWWquGBpJQSoBeUixSTjCueMDBWmeVpxupC5gJwqXAEFDkoyLktKeQaC9ZLTTnfjbBztQ7G2rTNxZEGjLMcxflMXHbWUNRTaVDY4WUZX0OjSGqh0zI-yuAkf5oLHhrOdhsgEeAlL2XpfTB_mu-x5x5bOeu-gKjZON9K9FgQX3-cr_s7HvgDuB4v_</recordid><startdate>20230701</startdate><enddate>20230701</enddate><creator>Tan, Lu</creator><creator>Pei, Jingsong</creator><general>MDPI AG</general><scope>AAYXX</scope><scope>CITATION</scope><scope>ISR</scope><scope>4U-</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><orcidid>https://orcid.org/0000-0002-0760-4240</orcidid></search><sort><creationdate>20230701</creationdate><title>Open Government Data and the Urban–Rural Income Divide in China: An Exploration of Data Inequalities and Their Consequences</title><author>Tan, Lu ; Pei, Jingsong</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c368t-21c6d5836f88edb25860175d09314d0296f52ba98e92d0fe2e5eda35ac2257e83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Agriculture</topic><topic>Analysis</topic><topic>Digital divide</topic><topic>Economic models</topic><topic>Economics</topic><topic>Human capital</topic><topic>Hypotheses</topic><topic>Income distribution</topic><topic>Income inequality</topic><topic>Information management</topic><topic>Interdisciplinary aspects</topic><topic>Open data</topic><topic>Rural areas</topic><topic>Skills</topic><topic>Socioeconomics</topic><topic>Sustainability</topic><topic>Technology</topic><topic>Theoretical analysis</topic><topic>Urban areas</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Tan, Lu</creatorcontrib><creatorcontrib>Pei, Jingsong</creatorcontrib><collection>CrossRef</collection><collection>Gale In Context: Science</collection><collection>University Readers</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><jtitle>Sustainability</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Tan, Lu</au><au>Pei, Jingsong</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Open Government Data and the Urban–Rural Income Divide in China: An Exploration of Data Inequalities and Their Consequences</atitle><jtitle>Sustainability</jtitle><date>2023-07-01</date><risdate>2023</risdate><volume>15</volume><issue>13</issue><spage>9867</spage><pages>9867-</pages><issn>2071-1050</issn><eissn>2071-1050</eissn><abstract>Amidst excitement for the data revolution’s potential benefits, concerns mount over its negative impact as unequal data distribution, access, and use widen disparities between individuals and groups, highlighting the urgent need for advanced theoretical and empirical frameworks. This study investigated the impact of open government data (OGD) on the urban–rural income divide in China. Our theoretical analysis shows that the nonrival nature of data initially widens the urban–rural income divide before eventually mitigating it, resulting in an inverted U-shaped relationship. Using a multiperiod difference-in-differences specification, we found that OGD widened the urban–rural income divide between 2010 and 2019. Furthermore, cities with initially wider urban–rural income divides experienced a greater impact from OGD in expanding this divide. These findings provide valuable insights in the role of open data in addressing income inequality, and contribute to our understanding of data inequalities in the context of the data revolution.</abstract><cop>Basel</cop><pub>MDPI AG</pub><doi>10.3390/su15139867</doi><orcidid>https://orcid.org/0000-0002-0760-4240</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 2071-1050
ispartof Sustainability, 2023-07, Vol.15 (13), p.9867
issn 2071-1050
2071-1050
language eng
recordid cdi_proquest_journals_2836502838
source Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; MDPI - Multidisciplinary Digital Publishing Institute
subjects Agriculture
Analysis
Digital divide
Economic models
Economics
Human capital
Hypotheses
Income distribution
Income inequality
Information management
Interdisciplinary aspects
Open data
Rural areas
Skills
Socioeconomics
Sustainability
Technology
Theoretical analysis
Urban areas
title Open Government Data and the Urban–Rural Income Divide in China: An Exploration of Data Inequalities and Their Consequences
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-12T01%3A06%3A32IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_proqu&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Open%20Government%20Data%20and%20the%20Urban%E2%80%93Rural%20Income%20Divide%20in%20China:%20An%20Exploration%20of%20Data%20Inequalities%20and%20Their%20Consequences&rft.jtitle=Sustainability&rft.au=Tan,%20Lu&rft.date=2023-07-01&rft.volume=15&rft.issue=13&rft.spage=9867&rft.pages=9867-&rft.issn=2071-1050&rft.eissn=2071-1050&rft_id=info:doi/10.3390/su15139867&rft_dat=%3Cgale_proqu%3EA758354985%3C/gale_proqu%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2836502838&rft_id=info:pmid/&rft_galeid=A758354985&rfr_iscdi=true