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Endogenous growth and global divergence in a multi-country agent-based model
被引:36
|作者:
Dosi, Giovanni
[1
,2
]
Roventini, Andrea
[1
,2
,3
]
Russo, Emanuele
[1
,2
]
机构:
[1] Scuola Super Sant Anna, EMbeDS, Piazza Martiri della Liberta 33, I-56127 Pisa, Italy
[2] Scuola Super Sant Anna, Inst Econ, Piazza Martiri della Liberta 33, I-56127 Pisa, Italy
[3] OFCE Sci Po, Sophia Antipolis, France
来源:
基金:
欧盟地平线“2020”;
关键词:
Endogenous growth;
Structural change;
Technology-gaps;
Global divergence;
Absolute advantages;
Agent-based models;
PRODUCTIVITY GROWTH;
INCREASING RETURNS;
STRUCTURAL-CHANGE;
OUTPUT GROWTH;
CONVERGENCE;
DYNAMICS;
EVOLUTIONARY;
TECHNOLOGY;
GLOBALIZATION;
POLICY;
D O I:
10.1016/j.jedc.2019.02.005
中图分类号:
F [经济];
学科分类号:
02 ;
摘要:
In this paper we present a multi-country, multi-industry agent-based model investigating the different growth patterns of interdependent economies. Each country features a Schumpeterian engine of endogenous technical change which interacts with Keyneasian/Kaldorian demand generation mechanisms. National trajectories are driven by firms' accumulation of technological knowledge, which in turn also leads to emergent specialization patterns in different industries. Interactions among economies occur via trade flows, stemming from the competition of firms in international markets. Simulation results show the emergence of persistent income divergence among countries leading to polarization and club formation. Moreover, each country experiences a structural transformation of its productive structure during the development process. Such dynamics results from firm level virtuous (or vicious) cycles between knowledge accumulation, trade performances, and growth dynamics. The model accounts for a rich ensemble of empirical regularities at macro, meso and micro levels of aggregation. (C) 2019 Elsevier B.V. All rights reserved.
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页码:101 / 129
页数:29
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