We introduce an evolutionary two-country model to characterize long run location patterns of the manufacturing activities of competing multinational enterprises. Firms located in country 1 can decide to offshore their manufacturing activities to country 2. The profitability of production in a country depends on several factors: unitary costs of production, the number of firms that are located in each country, within-country spillovers, and cross-border spillovers. Furthermore, profits in country 2 are influenced by congestion costs. Country 1 is assumed to be technologically advanced and has an advantage in terms of internal spillovers. In contrast, country 2 offers lower production unit cost which, however, may be offset by congestion costs. The firms’ (re)location choices are based on a simple comparison of current production costs obtained in the two countries and the dynamics of switching is modeled by a simple replicator dynamics. The global analysis of the resulting one-dimensional dynamical system reveals that a large advantage in terms of unitary production costs encourages the firms to off-shore manufacturing activities to country 2. This off-shoring process stops when congestion costs offset this advantage of country 2, even though congestion costs do not cause all manufacturing activities to be re-shored to country 1. The re-shoring process can be accelerated by an increase of within-country spillovers in country 1, while cross-border spillovers tend to favor a geographic dispersion of manufacturing activities and make location patterns that lead to suboptimal long run outcomes less likely.

Bischi, G. I., Kopel, M., Lamantia, F., Radi, D., Knowledge spillovers, congestion effects, and long-run location patterns, in Commendatore P, C. P., Kubin I, K. I., Bougheas S, B. S., Kirman A, K. A., Kopel M, K. M., Bischi G.-I, B. G. (ed.), The Economy as a Complex Spatial System, Springer, Cham 2018: 192- 215. 10.1007/978-3-319-65627-4_11 [https://hdl.handle.net/10807/237959]

Knowledge spillovers, congestion effects, and long-run location patterns

Radi, Davide
Ultimo
2018

Abstract

We introduce an evolutionary two-country model to characterize long run location patterns of the manufacturing activities of competing multinational enterprises. Firms located in country 1 can decide to offshore their manufacturing activities to country 2. The profitability of production in a country depends on several factors: unitary costs of production, the number of firms that are located in each country, within-country spillovers, and cross-border spillovers. Furthermore, profits in country 2 are influenced by congestion costs. Country 1 is assumed to be technologically advanced and has an advantage in terms of internal spillovers. In contrast, country 2 offers lower production unit cost which, however, may be offset by congestion costs. The firms’ (re)location choices are based on a simple comparison of current production costs obtained in the two countries and the dynamics of switching is modeled by a simple replicator dynamics. The global analysis of the resulting one-dimensional dynamical system reveals that a large advantage in terms of unitary production costs encourages the firms to off-shore manufacturing activities to country 2. This off-shoring process stops when congestion costs offset this advantage of country 2, even though congestion costs do not cause all manufacturing activities to be re-shored to country 1. The re-shoring process can be accelerated by an increase of within-country spillovers in country 1, while cross-border spillovers tend to favor a geographic dispersion of manufacturing activities and make location patterns that lead to suboptimal long run outcomes less likely.
2018
Inglese
The Economy as a Complex Spatial System
978-3-319-65626-7
Springer
Bischi, G. I., Kopel, M., Lamantia, F., Radi, D., Knowledge spillovers, congestion effects, and long-run location patterns, in Commendatore P, C. P., Kubin I, K. I., Bougheas S, B. S., Kirman A, K. A., Kopel M, K. M., Bischi G.-I, B. G. (ed.), The Economy as a Complex Spatial System, Springer, Cham 2018: 192- 215. 10.1007/978-3-319-65627-4_11 [https://hdl.handle.net/10807/237959]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10807/237959
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