Assessing the global poverty effects of antimicrobial resistance

•By 2050 there may be 28.3 million more people living below PPP $1.90/day, 26.2 million of those in low-income countries.•Expected losses from AMR in 2015–50 may sum to $85 trillion in GDP and $23 trillion in global trade (in present value).•By 2050, global GDP could deviate negatively by 3.8 percen...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:World development 2018-11, Vol.111, p.148-160
Hauptverfasser: Ahmed, Syud Amer, Barış, Enis, Go, Delfin S., Lofgren, Hans, Osorio-Rodarte, Israel, Thierfelder, Karen
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 160
container_issue
container_start_page 148
container_title World development
container_volume 111
creator Ahmed, Syud Amer
Barış, Enis
Go, Delfin S.
Lofgren, Hans
Osorio-Rodarte, Israel
Thierfelder, Karen
description •By 2050 there may be 28.3 million more people living below PPP $1.90/day, 26.2 million of those in low-income countries.•Expected losses from AMR in 2015–50 may sum to $85 trillion in GDP and $23 trillion in global trade (in present value).•By 2050, global GDP could deviate negatively by 3.8 percent from the baseline (worst case scenario) due to AMR.•AMR makes it more difficult to eliminate extreme poverty.•Isolationist policies in response to AMR further increase global poverty. As a result of antimicrobial resistance (AMR), economies will experience an increase in mortality, reduced productivity for labor and the livestock sector, and increased health care costs. This paper assesses the potential global poverty impacts of AMR using a unique macro-micro framework. To estimate poverty effects of AMR, price, wage, and employment results from a dynamic, multi-country, multi-sector computable general equilibrium CGE model are used in a microsimulation model that integrates household surveys from 104 countries. The analysis in this paper advances other studies of AMR in two ways: (1) it links macro results to a microsimulation model to provide insight on poverty impacts for the world economy and countries of different income levels; and (2) it uses a global multi-sector model, rather than an aggregate global model, to generate macroeconomic results with structural details for capturing the economy-wide impact within countries and the spread across countries via trade flows. Relative to a world without AMR, the progression of antimicrobial resistance is expected to make it more difficult to eliminate extreme poverty, potentially adding 24.1 million people to become extremely poor, of whom 18.7 million live in low-income countries. The expected losses during 2015–50 may sum to $85 trillion in gross domestic product and $23 trillion in global exports (in present value). By 2050, the global gross domestic product could deviate negatively by 3.8 percent from the baseline (in the worst-case scenario considered). Because it is a global public bad, the optimal policy response will require global cooperation. The poverty outcomes induced by AMR in all country groups will deteriorate with short-sighted isolationist policies. Moreover, assistance from high-income countries to improve the economic resiliency of lower-income countries will also benefit the higher-income countries and world economy in general.
doi_str_mv 10.1016/j.worlddev.2018.06.022
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2124785532</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0305750X18302146</els_id><sourcerecordid>2124785532</sourcerecordid><originalsourceid>FETCH-LOGICAL-c405t-cf7f03d3f0f881a704e1c548e432f387e553073666ed2d215ebc5f53954637043</originalsourceid><addsrcrecordid>eNqFkM1OwzAQhC0EEqXwCigS54S1HdvprVXFn1SJC0jcrNRZF0dpXOw0qG-Pq8KZ015mZmc-Qm4pFBSovG-Lbx-6psGxYECrAmQBjJ2RCa0Uz8VsRs_JBDiIXAn4uCRXMbYAIPhMTch8ESPG6PpNNnxitun8uu6ynR8xDIcMrUUzxMzbrO4Ht3Um-LVLgoDRxaHuDV6TC1t3EW9-75S8Pz68LZ_z1evTy3Kxyk0JYsiNVRZ4wy3YqqK1ghKpEWWFJWeWVwqF4KC4lBIb1jAqcG2ETR1FKXlS8ym5O-Xugv_aYxx06_ehTy81o6xUVQpgSSVPqlQ0xoBW74Lb1uGgKegjLd3qP1r6SEuD1IlWMs5PRkwbRodBR-Mw7WtcSAh0491_ET__gXY9</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2124785532</pqid></control><display><type>article</type><title>Assessing the global poverty effects of antimicrobial resistance</title><source>PAIS Index</source><source>Elsevier ScienceDirect Journals</source><creator>Ahmed, Syud Amer ; Barış, Enis ; Go, Delfin S. ; Lofgren, Hans ; Osorio-Rodarte, Israel ; Thierfelder, Karen</creator><creatorcontrib>Ahmed, Syud Amer ; Barış, Enis ; Go, Delfin S. ; Lofgren, Hans ; Osorio-Rodarte, Israel ; Thierfelder, Karen</creatorcontrib><description>•By 2050 there may be 28.3 million more people living below PPP $1.90/day, 26.2 million of those in low-income countries.•Expected losses from AMR in 2015–50 may sum to $85 trillion in GDP and $23 trillion in global trade (in present value).•By 2050, global GDP could deviate negatively by 3.8 percent from the baseline (worst case scenario) due to AMR.•AMR makes it more difficult to eliminate extreme poverty.•Isolationist policies in response to AMR further increase global poverty. As a result of antimicrobial resistance (AMR), economies will experience an increase in mortality, reduced productivity for labor and the livestock sector, and increased health care costs. This paper assesses the potential global poverty impacts of AMR using a unique macro-micro framework. To estimate poverty effects of AMR, price, wage, and employment results from a dynamic, multi-country, multi-sector computable general equilibrium CGE model are used in a microsimulation model that integrates household surveys from 104 countries. The analysis in this paper advances other studies of AMR in two ways: (1) it links macro results to a microsimulation model to provide insight on poverty impacts for the world economy and countries of different income levels; and (2) it uses a global multi-sector model, rather than an aggregate global model, to generate macroeconomic results with structural details for capturing the economy-wide impact within countries and the spread across countries via trade flows. Relative to a world without AMR, the progression of antimicrobial resistance is expected to make it more difficult to eliminate extreme poverty, potentially adding 24.1 million people to become extremely poor, of whom 18.7 million live in low-income countries. The expected losses during 2015–50 may sum to $85 trillion in gross domestic product and $23 trillion in global exports (in present value). By 2050, the global gross domestic product could deviate negatively by 3.8 percent from the baseline (in the worst-case scenario considered). Because it is a global public bad, the optimal policy response will require global cooperation. The poverty outcomes induced by AMR in all country groups will deteriorate with short-sighted isolationist policies. Moreover, assistance from high-income countries to improve the economic resiliency of lower-income countries will also benefit the higher-income countries and world economy in general.</description><identifier>ISSN: 0305-750X</identifier><identifier>EISSN: 1873-5991</identifier><identifier>DOI: 10.1016/j.worlddev.2018.06.022</identifier><language>eng</language><publisher>Oxford: Elsevier Ltd</publisher><subject>Antiinfectives and antibacterials ; Antimicrobial agents ; Antimicrobial resistance ; Clinical outcomes ; Cost assessments ; Drug resistance ; Dynamic computable general equilibrium modeling ; Economic conditions ; Economic growth of open economies ; Economics ; Employment ; Exports ; GDP ; Global economy ; Gross Domestic Product ; Health (pandemics) ; Health care expenditures ; Health care policy ; Impact analysis ; Income ; International cooperation ; Labor productivity ; Livestock ; Low income groups ; Macroeconomics ; Measurement and analysis of poverty ; Mortality ; Pandemics ; Poverty ; Present value ; Productivity ; Resilience ; Resistance ; Trade flows ; Wage &amp; price controls</subject><ispartof>World development, 2018-11, Vol.111, p.148-160</ispartof><rights>2018</rights><rights>Copyright Pergamon Press Inc. Nov 2018</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c405t-cf7f03d3f0f881a704e1c548e432f387e553073666ed2d215ebc5f53954637043</citedby><cites>FETCH-LOGICAL-c405t-cf7f03d3f0f881a704e1c548e432f387e553073666ed2d215ebc5f53954637043</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.worlddev.2018.06.022$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3536,27845,27903,27904,45974</link.rule.ids></links><search><creatorcontrib>Ahmed, Syud Amer</creatorcontrib><creatorcontrib>Barış, Enis</creatorcontrib><creatorcontrib>Go, Delfin S.</creatorcontrib><creatorcontrib>Lofgren, Hans</creatorcontrib><creatorcontrib>Osorio-Rodarte, Israel</creatorcontrib><creatorcontrib>Thierfelder, Karen</creatorcontrib><title>Assessing the global poverty effects of antimicrobial resistance</title><title>World development</title><description>•By 2050 there may be 28.3 million more people living below PPP $1.90/day, 26.2 million of those in low-income countries.•Expected losses from AMR in 2015–50 may sum to $85 trillion in GDP and $23 trillion in global trade (in present value).•By 2050, global GDP could deviate negatively by 3.8 percent from the baseline (worst case scenario) due to AMR.•AMR makes it more difficult to eliminate extreme poverty.•Isolationist policies in response to AMR further increase global poverty. As a result of antimicrobial resistance (AMR), economies will experience an increase in mortality, reduced productivity for labor and the livestock sector, and increased health care costs. This paper assesses the potential global poverty impacts of AMR using a unique macro-micro framework. To estimate poverty effects of AMR, price, wage, and employment results from a dynamic, multi-country, multi-sector computable general equilibrium CGE model are used in a microsimulation model that integrates household surveys from 104 countries. The analysis in this paper advances other studies of AMR in two ways: (1) it links macro results to a microsimulation model to provide insight on poverty impacts for the world economy and countries of different income levels; and (2) it uses a global multi-sector model, rather than an aggregate global model, to generate macroeconomic results with structural details for capturing the economy-wide impact within countries and the spread across countries via trade flows. Relative to a world without AMR, the progression of antimicrobial resistance is expected to make it more difficult to eliminate extreme poverty, potentially adding 24.1 million people to become extremely poor, of whom 18.7 million live in low-income countries. The expected losses during 2015–50 may sum to $85 trillion in gross domestic product and $23 trillion in global exports (in present value). By 2050, the global gross domestic product could deviate negatively by 3.8 percent from the baseline (in the worst-case scenario considered). Because it is a global public bad, the optimal policy response will require global cooperation. The poverty outcomes induced by AMR in all country groups will deteriorate with short-sighted isolationist policies. Moreover, assistance from high-income countries to improve the economic resiliency of lower-income countries will also benefit the higher-income countries and world economy in general.</description><subject>Antiinfectives and antibacterials</subject><subject>Antimicrobial agents</subject><subject>Antimicrobial resistance</subject><subject>Clinical outcomes</subject><subject>Cost assessments</subject><subject>Drug resistance</subject><subject>Dynamic computable general equilibrium modeling</subject><subject>Economic conditions</subject><subject>Economic growth of open economies</subject><subject>Economics</subject><subject>Employment</subject><subject>Exports</subject><subject>GDP</subject><subject>Global economy</subject><subject>Gross Domestic Product</subject><subject>Health (pandemics)</subject><subject>Health care expenditures</subject><subject>Health care policy</subject><subject>Impact analysis</subject><subject>Income</subject><subject>International cooperation</subject><subject>Labor productivity</subject><subject>Livestock</subject><subject>Low income groups</subject><subject>Macroeconomics</subject><subject>Measurement and analysis of poverty</subject><subject>Mortality</subject><subject>Pandemics</subject><subject>Poverty</subject><subject>Present value</subject><subject>Productivity</subject><subject>Resilience</subject><subject>Resistance</subject><subject>Trade flows</subject><subject>Wage &amp; price controls</subject><issn>0305-750X</issn><issn>1873-5991</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>7TQ</sourceid><recordid>eNqFkM1OwzAQhC0EEqXwCigS54S1HdvprVXFn1SJC0jcrNRZF0dpXOw0qG-Pq8KZ015mZmc-Qm4pFBSovG-Lbx-6psGxYECrAmQBjJ2RCa0Uz8VsRs_JBDiIXAn4uCRXMbYAIPhMTch8ESPG6PpNNnxitun8uu6ynR8xDIcMrUUzxMzbrO4Ht3Um-LVLgoDRxaHuDV6TC1t3EW9-75S8Pz68LZ_z1evTy3Kxyk0JYsiNVRZ4wy3YqqK1ghKpEWWFJWeWVwqF4KC4lBIb1jAqcG2ETR1FKXlS8ym5O-Xugv_aYxx06_ehTy81o6xUVQpgSSVPqlQ0xoBW74Lb1uGgKegjLd3qP1r6SEuD1IlWMs5PRkwbRodBR-Mw7WtcSAh0491_ET__gXY9</recordid><startdate>20181101</startdate><enddate>20181101</enddate><creator>Ahmed, Syud Amer</creator><creator>Barış, Enis</creator><creator>Go, Delfin S.</creator><creator>Lofgren, Hans</creator><creator>Osorio-Rodarte, Israel</creator><creator>Thierfelder, Karen</creator><general>Elsevier Ltd</general><general>Pergamon Press Inc</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7ST</scope><scope>7TQ</scope><scope>7U6</scope><scope>8BJ</scope><scope>C1K</scope><scope>DHY</scope><scope>DON</scope><scope>FQK</scope><scope>JBE</scope></search><sort><creationdate>20181101</creationdate><title>Assessing the global poverty effects of antimicrobial resistance</title><author>Ahmed, Syud Amer ; Barış, Enis ; Go, Delfin S. ; Lofgren, Hans ; Osorio-Rodarte, Israel ; Thierfelder, Karen</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c405t-cf7f03d3f0f881a704e1c548e432f387e553073666ed2d215ebc5f53954637043</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Antiinfectives and antibacterials</topic><topic>Antimicrobial agents</topic><topic>Antimicrobial resistance</topic><topic>Clinical outcomes</topic><topic>Cost assessments</topic><topic>Drug resistance</topic><topic>Dynamic computable general equilibrium modeling</topic><topic>Economic conditions</topic><topic>Economic growth of open economies</topic><topic>Economics</topic><topic>Employment</topic><topic>Exports</topic><topic>GDP</topic><topic>Global economy</topic><topic>Gross Domestic Product</topic><topic>Health (pandemics)</topic><topic>Health care expenditures</topic><topic>Health care policy</topic><topic>Impact analysis</topic><topic>Income</topic><topic>International cooperation</topic><topic>Labor productivity</topic><topic>Livestock</topic><topic>Low income groups</topic><topic>Macroeconomics</topic><topic>Measurement and analysis of poverty</topic><topic>Mortality</topic><topic>Pandemics</topic><topic>Poverty</topic><topic>Present value</topic><topic>Productivity</topic><topic>Resilience</topic><topic>Resistance</topic><topic>Trade flows</topic><topic>Wage &amp; price controls</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ahmed, Syud Amer</creatorcontrib><creatorcontrib>Barış, Enis</creatorcontrib><creatorcontrib>Go, Delfin S.</creatorcontrib><creatorcontrib>Lofgren, Hans</creatorcontrib><creatorcontrib>Osorio-Rodarte, Israel</creatorcontrib><creatorcontrib>Thierfelder, Karen</creatorcontrib><collection>CrossRef</collection><collection>Environment Abstracts</collection><collection>PAIS Index</collection><collection>Sustainability Science Abstracts</collection><collection>International Bibliography of the Social Sciences (IBSS)</collection><collection>Environmental Sciences and Pollution Management</collection><collection>PAIS International</collection><collection>PAIS International (Ovid)</collection><collection>International Bibliography of the Social Sciences</collection><collection>International Bibliography of the Social Sciences</collection><jtitle>World development</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ahmed, Syud Amer</au><au>Barış, Enis</au><au>Go, Delfin S.</au><au>Lofgren, Hans</au><au>Osorio-Rodarte, Israel</au><au>Thierfelder, Karen</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Assessing the global poverty effects of antimicrobial resistance</atitle><jtitle>World development</jtitle><date>2018-11-01</date><risdate>2018</risdate><volume>111</volume><spage>148</spage><epage>160</epage><pages>148-160</pages><issn>0305-750X</issn><eissn>1873-5991</eissn><abstract>•By 2050 there may be 28.3 million more people living below PPP $1.90/day, 26.2 million of those in low-income countries.•Expected losses from AMR in 2015–50 may sum to $85 trillion in GDP and $23 trillion in global trade (in present value).•By 2050, global GDP could deviate negatively by 3.8 percent from the baseline (worst case scenario) due to AMR.•AMR makes it more difficult to eliminate extreme poverty.•Isolationist policies in response to AMR further increase global poverty. As a result of antimicrobial resistance (AMR), economies will experience an increase in mortality, reduced productivity for labor and the livestock sector, and increased health care costs. This paper assesses the potential global poverty impacts of AMR using a unique macro-micro framework. To estimate poverty effects of AMR, price, wage, and employment results from a dynamic, multi-country, multi-sector computable general equilibrium CGE model are used in a microsimulation model that integrates household surveys from 104 countries. The analysis in this paper advances other studies of AMR in two ways: (1) it links macro results to a microsimulation model to provide insight on poverty impacts for the world economy and countries of different income levels; and (2) it uses a global multi-sector model, rather than an aggregate global model, to generate macroeconomic results with structural details for capturing the economy-wide impact within countries and the spread across countries via trade flows. Relative to a world without AMR, the progression of antimicrobial resistance is expected to make it more difficult to eliminate extreme poverty, potentially adding 24.1 million people to become extremely poor, of whom 18.7 million live in low-income countries. The expected losses during 2015–50 may sum to $85 trillion in gross domestic product and $23 trillion in global exports (in present value). By 2050, the global gross domestic product could deviate negatively by 3.8 percent from the baseline (in the worst-case scenario considered). Because it is a global public bad, the optimal policy response will require global cooperation. The poverty outcomes induced by AMR in all country groups will deteriorate with short-sighted isolationist policies. Moreover, assistance from high-income countries to improve the economic resiliency of lower-income countries will also benefit the higher-income countries and world economy in general.</abstract><cop>Oxford</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.worlddev.2018.06.022</doi><tpages>13</tpages></addata></record>
fulltext fulltext
identifier ISSN: 0305-750X
ispartof World development, 2018-11, Vol.111, p.148-160
issn 0305-750X
1873-5991
language eng
recordid cdi_proquest_journals_2124785532
source PAIS Index; Elsevier ScienceDirect Journals
subjects Antiinfectives and antibacterials
Antimicrobial agents
Antimicrobial resistance
Clinical outcomes
Cost assessments
Drug resistance
Dynamic computable general equilibrium modeling
Economic conditions
Economic growth of open economies
Economics
Employment
Exports
GDP
Global economy
Gross Domestic Product
Health (pandemics)
Health care expenditures
Health care policy
Impact analysis
Income
International cooperation
Labor productivity
Livestock
Low income groups
Macroeconomics
Measurement and analysis of poverty
Mortality
Pandemics
Poverty
Present value
Productivity
Resilience
Resistance
Trade flows
Wage & price controls
title Assessing the global poverty effects of antimicrobial resistance
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-23T04%3A04%3A29IST&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=Assessing%20the%20global%20poverty%20effects%20of%20antimicrobial%20resistance&rft.jtitle=World%20development&rft.au=Ahmed,%20Syud%20Amer&rft.date=2018-11-01&rft.volume=111&rft.spage=148&rft.epage=160&rft.pages=148-160&rft.issn=0305-750X&rft.eissn=1873-5991&rft_id=info:doi/10.1016/j.worlddev.2018.06.022&rft_dat=%3Cproquest_cross%3E2124785532%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=2124785532&rft_id=info:pmid/&rft_els_id=S0305750X18302146&rfr_iscdi=true