Industry 4.0 and some social consequences: Impact assessment by microsimulation for Hungary
The expected future impact of the fourth industrial revolution is a hotly debated issue in the literature. The majority of papers focus on quantifying the expected impacts on labour demand, or on a specific country, or on huge macro-regions – and the estimates differ widely. Our paper focuses on the...
Gespeichert in:
| Veröffentlicht in: | Society and economy 2020-06, Vol.42 (2), p.105-123 |
|---|---|
| Hauptverfasser: | , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 123 |
|---|---|
| container_issue | 2 |
| container_start_page | 105 |
| container_title | Society and economy |
| container_volume | 42 |
| creator | Cserháti, Ilona Pirisi, Károly |
| description | The expected future impact of the fourth industrial revolution is a hotly debated issue in the literature. The majority of papers focus on quantifying the expected impacts on labour demand, or on a specific country, or on huge macro-regions – and the estimates differ widely. Our paper focuses on the impact assessment of Industry 4.0 on the expected structure of employment, wages and inequalities in Hungary. We built a static microsimulation model for our analysis, where the “EU Survey of Income and Living Conditions Hungary 2017” dataset was used as a starting point. Projections by the European Centre for the Development of Vocational Training (CEDEFOP) were used for policy simulations on future employment by sector and by occupational group for each European Union (EU) member state. The analysis also elaborates our own augmented vision about the expected labour demand changes and expected wage trends. Based on this information, the spill-over effects were calculated regarding wage structure and inequalities by sector, region and the highest educational attainment. |
| doi_str_mv | 10.1556/204.2020.00010 |
| format | Article |
| fullrecord | <record><control><sourceid>ceeol_gale_</sourceid><recordid>TN_cdi_ceeol_journals_877527</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A668784453</galeid><ceeol_id>877527</ceeol_id><sourcerecordid>877527</sourcerecordid><originalsourceid>FETCH-LOGICAL-c3890-841586cea62b54d1a9977f57a77ec8e2401f3e9bf16da13fefcae052226db0553</originalsourceid><addsrcrecordid>eNqVUU1L9DAYLKLg59WTh8B78rD1SZo07XsT8WNR0IOC4CFk0ydLpU3WpAX335vVVfGmBJIQZuaZzGTZIYWcClGeMOA5AwY5AFDYyHaoqKpJLeFx8-vOyu1sN8ZnAFEICTvZ09Q1YxzCkvAciHYNib7HtJlWd8R4F_FlRGcw_ifTfqHNQHSMGGOPbiCzJelbE3xs-7HTQ-sdsT6Qq9HNdVjuZ1tWdxEP1ude9nBxfn92Nbm5vZyend5MTFHVMKl4Mlca1CWbCd5QXddSWiG1lGgqZByoLbCeWVo2mhYWrdEIgjFWNjMQotjL_n3oLoJPZuOgnv0YXBqpmOA1o8AkT6j8AzXXHarWWT8EbdJqMP3BO7Rtej8ty0pWnIviLwRW82Ll4_gHIWEGfB3meoxRXd9Nf4r_BvupuzaySjoGtGoR2j4FrCioVfUqVa9W1av36hPhaE1A9N13GpWUgsniDT8jp3M</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2549210274</pqid></control><display><type>article</type><title>Industry 4.0 and some social consequences: Impact assessment by microsimulation for Hungary</title><source>DOAJ Directory of Open Access Journals</source><source>Central and Eastern European Online Library</source><creator>Cserháti, Ilona ; Pirisi, Károly</creator><creatorcontrib>Cserháti, Ilona ; Pirisi, Károly</creatorcontrib><description>The expected future impact of the fourth industrial revolution is a hotly debated issue in the literature. The majority of papers focus on quantifying the expected impacts on labour demand, or on a specific country, or on huge macro-regions – and the estimates differ widely. Our paper focuses on the impact assessment of Industry 4.0 on the expected structure of employment, wages and inequalities in Hungary. We built a static microsimulation model for our analysis, where the “EU Survey of Income and Living Conditions Hungary 2017” dataset was used as a starting point. Projections by the European Centre for the Development of Vocational Training (CEDEFOP) were used for policy simulations on future employment by sector and by occupational group for each European Union (EU) member state. The analysis also elaborates our own augmented vision about the expected labour demand changes and expected wage trends. Based on this information, the spill-over effects were calculated regarding wage structure and inequalities by sector, region and the highest educational attainment.</description><identifier>ISSN: 1588-9726</identifier><identifier>EISSN: 1588-970X</identifier><identifier>DOI: 10.1556/204.2020.00010</identifier><language>eng</language><publisher>Budapest: Akadémiai Kiadó</publisher><subject>Analysis ; Automation ; Datasets ; Decision making ; Economic policy ; Educational attainment ; Employment ; Forecasts and trends ; Human Resources in Economy ; Income distribution ; Industry 4.0 ; Inequality ; Labor market ; Labor supply ; National Economy ; Occupational training ; Social aspects ; Society ; Socio-Economic Research ; Surveys ; Trends ; Wages & salaries</subject><ispartof>Society and economy, 2020-06, Vol.42 (2), p.105-123</ispartof><rights>COPYRIGHT 2020 Akademiai Kiado</rights><rights>Copyright Akademiai Kiado Zrt Jun 2020</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3890-841586cea62b54d1a9977f57a77ec8e2401f3e9bf16da13fefcae052226db0553</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Uhttps://www.ceeol.com//api/image/getissuecoverimage?id=picture_2020_55140.jpg</thumbnail><link.rule.ids>315,782,786,866,21369,27931,27932</link.rule.ids></links><search><creatorcontrib>Cserháti, Ilona</creatorcontrib><creatorcontrib>Pirisi, Károly</creatorcontrib><title>Industry 4.0 and some social consequences: Impact assessment by microsimulation for Hungary</title><title>Society and economy</title><addtitle>Society and Economy In Central and Eastern Europe ǀ Journal of the Corvinus University of Budapest</addtitle><description>The expected future impact of the fourth industrial revolution is a hotly debated issue in the literature. The majority of papers focus on quantifying the expected impacts on labour demand, or on a specific country, or on huge macro-regions – and the estimates differ widely. Our paper focuses on the impact assessment of Industry 4.0 on the expected structure of employment, wages and inequalities in Hungary. We built a static microsimulation model for our analysis, where the “EU Survey of Income and Living Conditions Hungary 2017” dataset was used as a starting point. Projections by the European Centre for the Development of Vocational Training (CEDEFOP) were used for policy simulations on future employment by sector and by occupational group for each European Union (EU) member state. The analysis also elaborates our own augmented vision about the expected labour demand changes and expected wage trends. Based on this information, the spill-over effects were calculated regarding wage structure and inequalities by sector, region and the highest educational attainment.</description><subject>Analysis</subject><subject>Automation</subject><subject>Datasets</subject><subject>Decision making</subject><subject>Economic policy</subject><subject>Educational attainment</subject><subject>Employment</subject><subject>Forecasts and trends</subject><subject>Human Resources in Economy</subject><subject>Income distribution</subject><subject>Industry 4.0</subject><subject>Inequality</subject><subject>Labor market</subject><subject>Labor supply</subject><subject>National Economy</subject><subject>Occupational training</subject><subject>Social aspects</subject><subject>Society</subject><subject>Socio-Economic Research</subject><subject>Surveys</subject><subject>Trends</subject><subject>Wages & salaries</subject><issn>1588-9726</issn><issn>1588-970X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>REL</sourceid><sourceid>KPI</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNqVUU1L9DAYLKLg59WTh8B78rD1SZo07XsT8WNR0IOC4CFk0ydLpU3WpAX335vVVfGmBJIQZuaZzGTZIYWcClGeMOA5AwY5AFDYyHaoqKpJLeFx8-vOyu1sN8ZnAFEICTvZ09Q1YxzCkvAciHYNib7HtJlWd8R4F_FlRGcw_ifTfqHNQHSMGGOPbiCzJelbE3xs-7HTQ-sdsT6Qq9HNdVjuZ1tWdxEP1ude9nBxfn92Nbm5vZyend5MTFHVMKl4Mlca1CWbCd5QXddSWiG1lGgqZByoLbCeWVo2mhYWrdEIgjFWNjMQotjL_n3oLoJPZuOgnv0YXBqpmOA1o8AkT6j8AzXXHarWWT8EbdJqMP3BO7Rtej8ty0pWnIviLwRW82Ll4_gHIWEGfB3meoxRXd9Nf4r_BvupuzaySjoGtGoR2j4FrCioVfUqVa9W1av36hPhaE1A9N13GpWUgsniDT8jp3M</recordid><startdate>20200601</startdate><enddate>20200601</enddate><creator>Cserháti, Ilona</creator><creator>Pirisi, Károly</creator><general>Akadémiai Kiadó</general><general>Academic Publishing House</general><general>Akademiai Kiado</general><general>Akademiai Kiado Zrt</general><scope>AE2</scope><scope>BIXPP</scope><scope>REL</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>KPI</scope><scope>0-V</scope><scope>3V.</scope><scope>7WY</scope><scope>7WZ</scope><scope>7XB</scope><scope>87Z</scope><scope>88J</scope><scope>8FK</scope><scope>8FL</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ALSLI</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BYOGL</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FRNLG</scope><scope>F~G</scope><scope>GNUQQ</scope><scope>K60</scope><scope>K6~</scope><scope>L.-</scope><scope>M0C</scope><scope>M2R</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope></search><sort><creationdate>20200601</creationdate><title>Industry 4.0 and some social consequences: Impact assessment by microsimulation for Hungary</title><author>Cserháti, Ilona ; Pirisi, Károly</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3890-841586cea62b54d1a9977f57a77ec8e2401f3e9bf16da13fefcae052226db0553</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Analysis</topic><topic>Automation</topic><topic>Datasets</topic><topic>Decision making</topic><topic>Economic policy</topic><topic>Educational attainment</topic><topic>Employment</topic><topic>Forecasts and trends</topic><topic>Human Resources in Economy</topic><topic>Income distribution</topic><topic>Industry 4.0</topic><topic>Inequality</topic><topic>Labor market</topic><topic>Labor supply</topic><topic>National Economy</topic><topic>Occupational training</topic><topic>Social aspects</topic><topic>Society</topic><topic>Socio-Economic Research</topic><topic>Surveys</topic><topic>Trends</topic><topic>Wages & salaries</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Cserháti, Ilona</creatorcontrib><creatorcontrib>Pirisi, Károly</creatorcontrib><collection>Central and Eastern European Online Library (C.E.E.O.L.) (DFG Nationallizenzen)</collection><collection>CEEOL: Open Access</collection><collection>Central and Eastern European Online Library</collection><collection>CrossRef</collection><collection>Gale In Context: Global Issues</collection><collection>ProQuest Social Sciences Premium Collection</collection><collection>ProQuest Central (Corporate)</collection><collection>ABI/INFORM Collection</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Global (Alumni Edition)</collection><collection>Social Science Database (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Social Science Premium Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Business Premium Collection</collection><collection>East Europe, Central Europe Database</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Business Premium Collection (Alumni)</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>ProQuest Central Student</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ABI/INFORM Global</collection><collection>Social Science Database</collection><collection>ProQuest One Business</collection><collection>ProQuest One Business (Alumni)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><jtitle>Society and economy</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Cserháti, Ilona</au><au>Pirisi, Károly</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Industry 4.0 and some social consequences: Impact assessment by microsimulation for Hungary</atitle><jtitle>Society and economy</jtitle><addtitle>Society and Economy In Central and Eastern Europe ǀ Journal of the Corvinus University of Budapest</addtitle><date>2020-06-01</date><risdate>2020</risdate><volume>42</volume><issue>2</issue><spage>105</spage><epage>123</epage><pages>105-123</pages><issn>1588-9726</issn><eissn>1588-970X</eissn><abstract>The expected future impact of the fourth industrial revolution is a hotly debated issue in the literature. The majority of papers focus on quantifying the expected impacts on labour demand, or on a specific country, or on huge macro-regions – and the estimates differ widely. Our paper focuses on the impact assessment of Industry 4.0 on the expected structure of employment, wages and inequalities in Hungary. We built a static microsimulation model for our analysis, where the “EU Survey of Income and Living Conditions Hungary 2017” dataset was used as a starting point. Projections by the European Centre for the Development of Vocational Training (CEDEFOP) were used for policy simulations on future employment by sector and by occupational group for each European Union (EU) member state. The analysis also elaborates our own augmented vision about the expected labour demand changes and expected wage trends. Based on this information, the spill-over effects were calculated regarding wage structure and inequalities by sector, region and the highest educational attainment.</abstract><cop>Budapest</cop><pub>Akadémiai Kiadó</pub><doi>10.1556/204.2020.00010</doi><tpages>19</tpages><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1588-9726 |
| ispartof | Society and economy, 2020-06, Vol.42 (2), p.105-123 |
| issn | 1588-9726 1588-970X |
| language | eng |
| recordid | cdi_ceeol_journals_877527 |
| source | DOAJ Directory of Open Access Journals; Central and Eastern European Online Library |
| subjects | Analysis Automation Datasets Decision making Economic policy Educational attainment Employment Forecasts and trends Human Resources in Economy Income distribution Industry 4.0 Inequality Labor market Labor supply National Economy Occupational training Social aspects Society Socio-Economic Research Surveys Trends Wages & salaries |
| title | Industry 4.0 and some social consequences: Impact assessment by microsimulation for Hungary |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-05T04%3A20%3A50IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-ceeol_gale_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Industry%204.0%20and%20some%20social%20consequences:%20Impact%20assessment%20by%20microsimulation%20for%20Hungary&rft.jtitle=Society%20and%20economy&rft.au=Cserh%C3%A1ti,%20Ilona&rft.date=2020-06-01&rft.volume=42&rft.issue=2&rft.spage=105&rft.epage=123&rft.pages=105-123&rft.issn=1588-9726&rft.eissn=1588-970X&rft_id=info:doi/10.1556/204.2020.00010&rft_dat=%3Cceeol_gale_%3E877527%3C/ceeol_gale_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2549210274&rft_id=info:pmid/&rft_galeid=A668784453&rft_ceeol_id=877527&rfr_iscdi=true |