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OFFSHORING, RESHORING, UNEMPLOYMENT, AND WAGE DYNAMICS IN A TWO-COUNTRY EVOLUTIONARY MODEL

Published online by Cambridge University Press:  12 July 2019

Davide Radi*
Affiliation:
University of Pisa and VŠB–Technical University of Ostrava
Fabio Lamantia
Affiliation:
University of Calabria and VŠB–Technical University of Ostrava
Gian Italo Bischi
Affiliation:
University of Urbino Carlo Bo
*
Address correspondence to: Davide Radi, Department of Economics and Management, University of Pisa, Via C. Ridolfi, 10, 56124, Pisa (PI), Italy. e-mail: davide.radi@unipi.it. Phone: +39 050 2216318. Fax: +39 050 22 10 603 and Department of Finance, Faculty of Economics, VŠB–Technical University of Ostrava, Sokolská tř. 33, 701 21, Ostrava, Czech Republic. e-mail: davide.radi@vsb.cz. Phone: +420 59 732 2336, Fax: +420 59 611 0026.

Abstract

In this paper, the location patterns of Multinational Enterprises are modeled by an evolutionary two-country model in which producing in a developed economy offers strong cost-reducing externalities of within-country spillovers and opting for a developing economy entails cheap labor but also extra operational costs due to the undersupply of public goods. The offshoring process, that is, manufacturing activity outsourced in the developing economy, increases the bargaining power of its workers and, with it, its labor cost. The investigation underlines that an increasing labor-productivity remuneration in the developing economy may spark a reshoring process that depends on the agglomeration and endowment drivers characterizing an industry. The reshoring process can be narrowed by a flexible labor remuneration scheme, with wages indexed to the domestic concentration of manufacturing activity. The presence of sub-optimal location patterns points out the existence of a trade-off between stability and efficiency, which underlines that policy measures designed to make a country a more efficient location are neither sufficient nor necessary for preventing offshoring or ensuring reshoring.

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Type
Articles
Copyright
© Cambridge University Press 2019

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