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Statistics to Measure Offshoring and its Impact

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  • Robert C. Feenstra

Abstract

We identify “first generation” statistics to measure offshoring as the share of imported intermediate inputs in costs, along with O*NET data to measure the tradability of tasks. These data were used to measure the shifts in relative labor demand and relative wages due to offshoring. A limitation of these statistics is that they cannot be used to measure the impact on real wages, and for that purpose, we need price-based measures of offshoring. More recently, “second generation” statistics have arisen from global input-output tables. These measures include the foreign value-added in exports, or its counterpart, the domestic value-added in exports. We illustrate the foreign value-added component in the surge of Chinese exports following its WTO entry in 2001. We argue that such second-generation statistics should also be supplemented by price-based measure of offshoring, and we propose one simple measure that extends the effective rate of protection on imports to apply to exported goods.

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  • Robert C. Feenstra, 2017. "Statistics to Measure Offshoring and its Impact," NBER Working Papers 23067, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:23067
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    2. Sabina Szymczak & Aleksandra Parteka & Joanna Wolszczak-Derlacz, 2019. "Position In Global Value Chains: The Impact On Wages In Central And Eastern European Countries," GUT FME Working Paper Series A 53, Faculty of Management and Economics, Gdansk University of Technology, revised Jan 2022.
    3. Galle, Simon & Lorentzen, Linnea, 2024. "The unequal effects of trade and automation across local labor markets," Journal of International Economics, Elsevier, vol. 150(C).
    4. Ryan Woodgate, 2023. "Offshoring via vertical FDI in a long-run Kaleckian Model," Journal of Post Keynesian Economics, Taylor & Francis Journals, vol. 46(1), pages 32-64, January.
    5. 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.
    6. Carmine Ornaghi & Ilke Van Beveren & Stijn Vanormelingen, 2021. "The impact of service and goods offshoring on employment: Firm‐level evidence," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 54(2), pages 677-711, May.
    7. Montalbano, Pierluigi & Nenci, Silvia, 2022. "Does global value chain participation and positioning in the agriculture and food sectors affect economic performance? A global assessment," Food Policy, Elsevier, vol. 108(C).
    8. Aleksandra Parteka & Joanna Wolszczak-Derlacz, 2019. "Global Value Chains and Wages: Multi-Country Evidence from Linked Worker-Industry Data," Open Economies Review, Springer, vol. 30(3), pages 505-539, July.
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    10. Sabina Szymczak & Aleksandra Parteka & Joanna Wolszczak-Derlacz, 2022. "Position in global value chains and wages in Central and Eastern European countries," European Journal of Industrial Relations, , vol. 28(2), pages 211-230, June.
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