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Automation, trade and multinational activity: Micro evidence from Spain

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  • Katherine Stapleton
  • Michael Webb

Abstract

We use a rich dataset of Spanish manufacturing firms from 1990 to 2016 to shed new light on how automation in a high-income country affects trade and multinational activity involving lower-income countries. We exploit supply-side improvements in the capabilities of robots over time, as described in patents, that made it technically feasible to automate some specific tasks. We show that, contrary to the speculation that automation will cause reshoring, the use of robots in Spanish firms actually had a positive impact on their imports from, and number of affiliates in, lower-income countries. Robot adoption causes firms to expand production, increase productivity and makes them more likely to start importing from, or opening affiliates in, lower-income countries. The sequencing of automation and offshoring has important consequences for the impact of automation, however. For firms that had not already offshored to lower-income countries, robot adoption made them more likely to start doing so. By contrast, for firms that were already offshoring to lower-income countries, robot adoption had no effect on their value of imports from lower-income countries, but decreased their share of imports sourced from lower-income countries. We show that these findings can be explained in a framework that incorporates firm heterogeneity, the choice between automation, offshoring and performing tasks at home and where automation and offshoring both involve upfront fixed costs, such that their sequencing matters.

Suggested Citation

  • Katherine Stapleton & Michael Webb, 2020. "Automation, trade and multinational activity: Micro evidence from Spain," CSAE Working Paper Series 2020-16, Centre for the Study of African Economies, University of Oxford.
  • Handle: RePEc:csa:wpaper:2020-16
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    Cited by:

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    2. Fabrizio Leone, 2022. "Multinationals, Robots, and the Labor Share," Working Papers ECARES 2022-17, ULB -- Universite Libre de Bruxelles.
    3. Andreas Baur & Lisandra Flach & Isabella Gourevich & Florian Unger, 2023. "North-South Trade: The Impact of Robotization," CESifo Working Paper Series 10865, CESifo.
    4. Nenci, Silvia & Fusacchia, Ilaria & Giunta, Anna & Montalbano, Pierluigi & Pietrobelli, Carlo, 2022. "Mapping global value chain participation and positioning in agriculture and food: stylised facts, empirical evidence and critical issues," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), vol. 11(2), July.
    5. Leone, Fabrizio, 2021. "Foreign Ownership and Robot Adoption," CEPREMAP Working Papers (Docweb) 2111, CEPREMAP.
    6. Cilekoglu, Akin A. & Moreno, Rosina & Ramos, Raul, 2024. "The impact of robot adoption on global sourcing," Research Policy, Elsevier, vol. 53(3).
    7. Koch, Michael & Manuylov, Ilya, 2023. "Measuring the technological bias of robot adoption and its implications for the aggregate labor share," Research Policy, Elsevier, vol. 52(9).
    8. Pinheiro, Alexandra & Sochirca, Elena & Afonso, Oscar & Neves, Pedro Cunha, 2023. "Automation and off(re)shoring: A meta-regression analysis," International Journal of Production Economics, Elsevier, vol. 264(C).
    9. Cali,Massimiliano & Presidente,Giorgio, 2021. "Automation and Manufacturing Performance in a Developing Country," Policy Research Working Paper Series 9653, The World Bank.
    10. Stemmler, Henry, 2023. "Automated Deindustrialization: How Global Robotization Affects Emerging Economies—Evidence from Brazil," World Development, Elsevier, vol. 171(C).
    11. Alguacil Marí, María Teresa & Lo Turco, Alessia & Martínez-Zarzoso, Inmaculada, 2020. "What is so special about robots and trade?," University of Göttingen Working Papers in Economics 410, University of Goettingen, Department of Economics.
    12. Michael Koch & Ilya Manuylov, 2022. "Measuring the Technological Bias of Robot Adoption and its Implications for the Aggregate Labor Share," Economics Working Papers 2022-01, Department of Economics and Business Economics, Aarhus University.
    13. Lin, Changqing & Xiao, Shengpeng & Yin, Zihui, 2022. "How do industrial robots applications affect the quality upgrade of Chinese export trade?," Telecommunications Policy, Elsevier, vol. 46(10).
    14. 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.
    15. Dolores Añon Higón & Juan A. Daniel Bonvin, 2023. "Do digitalization spurs SMEs’ participation in foreign markets?," Working Papers 2307, Department of Applied Economics II, Universidad de Valencia.
    16. Filippi, Emilia & Bannò, Mariasole & Trento, Sandro, 2023. "Automation technologies and their impact on employment: A review, synthesis and future research agenda," Technological Forecasting and Social Change, Elsevier, vol. 191(C).
    17. Antrà s, Pol, 2020. "De-Globalisation? Global Value Chains in the Post-COVID-19 Age," CEPR Discussion Papers 15462, C.E.P.R. Discussion Papers.
    18. Alguacil, Maite & Lo Turco, Alessia & Martínez-Zarzoso, Inmaculada, 2022. "Robot adoption and export performance: Firm-level evidence from Spain," Economic Modelling, Elsevier, vol. 114(C).

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    More about this item

    Keywords

    Automation; robotics; technology; offshoring; trade; multinationals; global supply chains; heterogeneous firms; labour share; productivity;
    All these keywords.

    JEL classification:

    • F12 - International Economics - - Trade - - - Models of Trade with Imperfect Competition and Scale Economies; Fragmentation
    • F16 - International Economics - - Trade - - - Trade and Labor Market Interactions
    • 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

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