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Does automation lead to de-industrialization in emerging economies? Evidence from Brazil

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  • Stemmler, Henry

Abstract

This paper investigates several channels through which automation affects an emerging economy. Building on a Ricardian model of trade with sectoral linkages and a two-stage production technology, in which robots replace labor in certain tasks, it is shown that domestic and foreign automation have differential effects on labor markets. Based on this model, the impact of automation on local labor markets in Brazil are estimated using a shift-share approach. Local labor market exposures to industry-level stocks of robots are derived from their initial industry-employment composition. Foreign automation is found to decrease manufacturing employment through the channel of final goods exports, while it increases employment in the mining sector through the channel of input exports. This may stimulate what has been called "premature deindustrialization" in emerging economies. To account for possible endogeneity in adopting robots domestically, robot uptake in other emerging economies is used as an instrumental variable. Domestic automation is found to directly decrease the ratio of unskilled industry workers and increase the ratio of skilled workers. Also, the wage gap between the two groups widens as a consequence of domestic automation, reinforcing income inequality.

Suggested Citation

  • Stemmler, Henry, 2019. "Does automation lead to de-industrialization in emerging economies? Evidence from Brazil," University of Göttingen Working Papers in Economics 382, University of Goettingen, Department of Economics.
  • Handle: RePEc:zbw:cegedp:382
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    Cited by:

    1. Lekfuangfu, Warn N. & Nakavachara, Voraprapa, 2021. "Reshaping Thailand's labor market: The intertwined forces of technology advancements and shifting supply chains," Economic Modelling, Elsevier, vol. 102(C).
    2. Krenz, Astrid & Prettner, Klaus & Strulik, Holger, 2021. "Robots, reshoring, and the lot of low-skilled workers," European Economic Review, Elsevier, vol. 136(C).
    3. Cilekoglu, Akin A. & Moreno, Rosina & Ramos, Raul, 2024. "The impact of robot adoption on global sourcing," Research Policy, Elsevier, vol. 53(3).
    4. Faber, Marius, 2020. "Robots and reshoring: Evidence from Mexican labor markets," Journal of International Economics, Elsevier, vol. 127(C).
    5. Luis R. Diaz Pavez & Inmaculada Martinez-Zarzoso, 2023. "The impact of local and foreign automation on labor market outcomes in emerging countries," Working Papers 2023.01, International Network for Economic Research - INFER.
    6. Azmeh, Shamel & Nguyen, Huong & Kuhn, Marlene, 2022. "Automation and industrialisation through global value chains: North Africa in the German automotive wiring harness industry," Structural Change and Economic Dynamics, Elsevier, vol. 63(C), pages 125-138.
    7. Andrés César & Guillermo Falcone & Pablo Garriga, 2022. "Robots, Exports and Top Income Inequality: Evidence for the U.S," CEDLAS, Working Papers 0307, CEDLAS, Universidad Nacional de La Plata.
    8. Diaz Pavez, Luis R. & Martínez-Zarzoso, Inmaculada, 2021. "The impact of local and foreign automation on labor market outcomes in emerging countries," University of Göttingen Working Papers in Economics 423, University of Goettingen, Department of Economics.

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    More about this item

    Keywords

    automation; trade; deindustrialization; employment; wages;
    All these keywords.

    JEL classification:

    • J23 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Demand
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • F16 - International Economics - - Trade - - - Trade and Labor Market Interactions
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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