Evidence for the globalisation types model integrating different trade theories

IF 0.4 Q4 ECONOMICS
B. Rüttimann
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引用次数: 0

Abstract

This paper summarises the research performed during the last 10 years regarding the globalisation phenomenon measuring and analysing the evolution of trade globalisation of the period 2003-2015. The goal was to find evidence for a new globalisation types model. Indeed, the economic system has become more complex during recent years, the current trade models not being able to capture individually the different aspects, not being universally applicable. The evolution of globalisation has been measured with a new entropy-based metric that computes the interweavement of trade flows. The research has shown that economic world trade has been globalising during recent years but with different patterns: de-globalising for advanced economies and globalising for emerging economies. These differences can be explained with this globalisation types model.
整合不同贸易理论的全球化类型模型的证据
本文总结了过去10年关于全球化现象的研究,测量和分析了2003-2015年期间贸易全球化的演变。其目标是为一种新的全球化模式找到证据。事实上,近年来经济体系变得更加复杂,目前的贸易模式无法单独捕捉不同的方面,不能普遍适用。全球化的演变是用一种新的基于熵的指标来衡量的,该指标计算贸易流动的相互交织。研究表明,近年来经济世界贸易一直在全球化,但呈现出不同的模式:发达经济体的去全球化和新兴经济体的全球化。这些差异可以用全球化类型模型来解释。
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来源期刊
CiteScore
0.60
自引率
0.00%
发文量
26
期刊介绍: IJCEE explores the intersection of economics, econometrics and computation. It investigates the application of recent computational techniques to all branches of economic modelling, both theoretical and empirical. IJCEE aims at an international and multidisciplinary standing, promoting rigorous quantitative examination of relevant economic issues and policy analyses. The journal''s research areas include computational economic modelling, computational econometrics and statistics and simulation methods. It is an internationally competitive, peer-reviewed journal dedicated to stimulating discussion at the forefront of economic and econometric research. Topics covered include: -Computational Economics: Computational techniques applied to economic problems and policies, Agent-based modelling, Control and game theory, General equilibrium models, Optimisation methods, Economic dynamics, Software development and implementation, -Econometrics: Applied micro and macro econometrics, Monte Carlo simulation, Robustness and sensitivity analysis, Bayesian econometrics, Time series analysis and forecasting techniques, Operational research methods with applications to economics, Software development and implementation.
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