Dynamical analysis of the global business-cycle synchronization

被引：7

作者：

Lopes, Antonio M. ^{[1
]}

Tenreiro Machado, J. A. ^{[2
]}

Huffstot, John S. ^{[3
]}

Mata, Maria Eugenia ^{[3
]}

机构：

[1] Univ Porto, Fac Engn, INEGI, UISPA,LAETA, Porto, Portugal

[2] Polytech Porto, Dept Elect Engn, Inst Engn, Porto, Portugal

[3] Univ Nova Lisboa, Fac Econ, Nova Sch Business & Econ, Lisbon, Portugal

来源：

PLOS ONE | 2018年 / 13卷 / 02期

关键词：

EUROPEAN-COUNTRIES; US RECESSIONS; GLOBALIZATION; COMOVEMENT; ENTROPY; GROWTH; MODEL; TIME; G7;

D O I：

10.1371/journal.pone.0191491

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

This paper reports the dynamical analysis of the business cycles of 12 (developed and developing) countries over the last 56 years by applying computational techniques used for tackling complex systems. They reveal long-term convergence and country-level interconnections because of close contagion effects caused by bilateral networking exposure. Inter-connectivity determines the magnitude of cross-border impacts. Local features and shock propagation complexity also may be true engines for local configuration of cycles. The algorithmic modeling proves to represent a solid approach to study the complex dynamics involved in the world economies.

引用

页数：25

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