2021
DOI: 10.1596/1813-9450-9653
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Automation and Manufacturing Performance in a Developing Country

Abstract: The Policy Research Working Paper Series disseminates the findings of work in progress to encourage the exchange of ideas about development issues. An objective of the series is to get the findings out quickly, even if the presentations are less than fully polished. The papers carry the names of the authors and should be cited accordingly. The findings, interpretations, and conclusions expressed in this paper are entirely those of the authors. They do not necessarily represent the views of the International Ba… Show more

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Cited by 6 publications
(3 citation statements)
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“…Anto ´n et al (2022) found that the direction of robots' impact on employment is uncertain and depends to a great extent on the model specifications and the selection of countries [24]. In contrast to existing evidence on advanced economies, a working paper of the World Bank shows a positive impact of robots on manufacturing and service employment in Indonesia [25]. These studies reveal national differences in the impact of robotization, underscoring the significance of re-testing in developing countries.…”
Section: Literatures Reviewsmentioning
confidence: 99%
“…Anto ´n et al (2022) found that the direction of robots' impact on employment is uncertain and depends to a great extent on the model specifications and the selection of countries [24]. In contrast to existing evidence on advanced economies, a working paper of the World Bank shows a positive impact of robots on manufacturing and service employment in Indonesia [25]. These studies reveal national differences in the impact of robotization, underscoring the significance of re-testing in developing countries.…”
Section: Literatures Reviewsmentioning
confidence: 99%
“…Enterprises with more industrial robots have a lower share of production labor, a higher share of capital, and higher labor productivity [10], which can significantly improve their competitiveness and promote the upgrading of global value chain technology [11], but this may also lead to increasing productivity differences that exacerbate the superstar phenomenon [12]. The use of industrial robots enhances the digital capabilities of companies and the efficiency of resource allocation [13], and increasing the proportion of industrial robot applications in developing countries can lead to higher technical efficiency, better sales and higher value added, enhancing the status of GVC [14]. The use of industrial robots also significantly expands the distribution network of multinational companies' headquarters and the value creation of their subsidiaries, effectively enhancing their overall global value chain position [15].…”
Section: Literature Reviewmentioning
confidence: 99%
“…, 2021). Despite some positive economic impacts, automation has a huge displacing effect in developing countries with almost no evidence (Calì and Presidente, 2021). The millions of low-paid workers in developing countries have become vulnerable to automation and technology-induced unemployment, which is the key challenge at the development age of digitalization (Frey and Osborne, 2017; Jain and Yuan, 2020; Kerlin et al.…”
Section: Introductionmentioning
confidence: 99%