80 lines
2.6 KiB
YAML
80 lines
2.6 KiB
YAML
abstract: 'Automation is likely to impact on developing countries in different ways
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to the way automation affects high-income countries. The poorer a
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country is, the more jobs it has that are in principle-automatable
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because the kinds of jobs common in developing countries-such as routine
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work-are substantially more susceptible to automation than the jobs that
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dominate high-income economies. This matters because employment
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generation is crucial to spreading the benefits of economic growth
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broadly and to reducing global poverty. We argue that the rise of a
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global ``robot reserve army{''''} has profound effects on labor markets
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and structural transformation in developing countries, but rather than
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causing mass unemployment, AI and robots are more likely to lead to
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stagnant wages and premature deindustrialization. As agricultural and
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manufacturing jobs are automated, workers will continue to flood the
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service sector. This will itself hinder poverty reduction and likely put
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upward pressure on national inequality, weakening the poverty-reducing
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power of growth, and potentially placing the existing social contract
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under strain. How developing countries should respond in terms of public
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policy is a crucial question, affecting not only middle-income
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developing countries, but even the very poorest countries.'
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affiliation: 'Kiely, R (Corresponding Author), Univ Vienna, Vienna, Austria.
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Kiely, Ray, Univ Vienna, Vienna, Austria.
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Sumner, Andy, Kings Coll London, London, England.'
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author: Kiely, Ray and Sumner, Andy
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author_list:
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- family: Kiely
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given: Ray
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- family: Sumner
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given: Andy
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book-author: 'Schlogl, L
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Sumner, A'
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booktitle: 'DISRUPTED DEVELOPMENT AND THE FUTURE OF INEQUALITY IN THE AGE OF
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AUTOMATION'
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da: '2023-09-28'
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doi: 10.1007/978-3-030-30131-6\_1
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files: []
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isbn: 978-3-030-30131-6; 978-3-030-30130-9
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keywords: 'Automation; Digitization; Labor-saving technology; Developing countries;
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Economic development; Jobs'
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keywords-plus: 'TECHNOLOGICAL-CHANGE; UNBALANCED GROWTH; STRUCTURAL-CHANGE; MODEL;
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POLARIZATION; HISTORY; JOBS; SUBSTITUTION; UNEMPLOYMENT; EMPLOYMENT'
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language: English
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number-of-cited-references: '155'
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pages: 1+
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papis_id: 1bf72ad59aa3d75ac35b918ad4e5486f
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ref: Kiely2020disrupteddevelopment
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series: Rethinking International Development
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times-cited: '0'
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title: Disrupted Development and the Future of Inequality in the Age of Automation
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Introduction
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type: article
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unique-id: WOS:000797521800001
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usage-count-last-180-days: '0'
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usage-count-since-2013: '1'
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web-of-science-categories: Development Studies; Regional \& Urban Planning; Public
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Administration
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year: '2020'
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