Data Driven Approach to the Dynamics of Import and Export of G7 Countries

The dynamics of imports plus exports of 226 product classes by the G7 countries between 1962 and 2000 is described in terms of stochastic differential equations. The model allows interesting comparisons among the different economies related to the compositions of the national baskets. Synthetic solu...

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Main Authors: Gianluca Teza, Michele Caraglio, Attilio L. Stella
Format: Article
Language:English
Published: MDPI AG 2018-09-01
Series:Entropy
Subjects:
Online Access:http://www.mdpi.com/1099-4300/20/10/735
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spelling doaj-951ec2636d114d2ebd47cbaa2b01e1eb2020-11-25T00:47:08ZengMDPI AGEntropy1099-43002018-09-01201073510.3390/e20100735e20100735Data Driven Approach to the Dynamics of Import and Export of G7 CountriesGianluca Teza0Michele Caraglio1Attilio L. Stella2Dipartimento di Fisica e Astronomia Università di Padova, Via Marzolo 8, I-35131 Padova, ItalyKU Leuven, Institute for Theoretical Physics, Celestijnenlaan 200D, 3001 Leuven, BelgiumDipartimento di Fisica e Astronomia Università di Padova, Via Marzolo 8, I-35131 Padova, ItalyThe dynamics of imports plus exports of 226 product classes by the G7 countries between 1962 and 2000 is described in terms of stochastic differential equations. The model allows interesting comparisons among the different economies related to the compositions of the national baskets. Synthetic solutions can also be used to estimate hidden and unexploited growth potentials. These prerogatives are strictly connected with the fact that a network structure is at the basis of the model. Such a network expresses the mutual influences of different products through resource transfers, and is a key ingredient producing cooperative growth effects which can be quantified and distinguished from those generated by deterministic drifts and representing direct resource inputs. An analysis of this network, which differs substantially from those previously considered within the economic complexity approach, allows to estimate the centrality of different products in each national basket, highlighting the most essential commodities for each economy. Solutions of the model give the possibility of performing counterfactual analyses aimed at estimating how much the growth of each country could have profited from a general strengthening, or weakening, of the links in the same products network.http://www.mdpi.com/1099-4300/20/10/735countries-products networkexport dynamicseconomic complexity
collection DOAJ
language English
format Article
sources DOAJ
author Gianluca Teza
Michele Caraglio
Attilio L. Stella
spellingShingle Gianluca Teza
Michele Caraglio
Attilio L. Stella
Data Driven Approach to the Dynamics of Import and Export of G7 Countries
Entropy
countries-products network
export dynamics
economic complexity
author_facet Gianluca Teza
Michele Caraglio
Attilio L. Stella
author_sort Gianluca Teza
title Data Driven Approach to the Dynamics of Import and Export of G7 Countries
title_short Data Driven Approach to the Dynamics of Import and Export of G7 Countries
title_full Data Driven Approach to the Dynamics of Import and Export of G7 Countries
title_fullStr Data Driven Approach to the Dynamics of Import and Export of G7 Countries
title_full_unstemmed Data Driven Approach to the Dynamics of Import and Export of G7 Countries
title_sort data driven approach to the dynamics of import and export of g7 countries
publisher MDPI AG
series Entropy
issn 1099-4300
publishDate 2018-09-01
description The dynamics of imports plus exports of 226 product classes by the G7 countries between 1962 and 2000 is described in terms of stochastic differential equations. The model allows interesting comparisons among the different economies related to the compositions of the national baskets. Synthetic solutions can also be used to estimate hidden and unexploited growth potentials. These prerogatives are strictly connected with the fact that a network structure is at the basis of the model. Such a network expresses the mutual influences of different products through resource transfers, and is a key ingredient producing cooperative growth effects which can be quantified and distinguished from those generated by deterministic drifts and representing direct resource inputs. An analysis of this network, which differs substantially from those previously considered within the economic complexity approach, allows to estimate the centrality of different products in each national basket, highlighting the most essential commodities for each economy. Solutions of the model give the possibility of performing counterfactual analyses aimed at estimating how much the growth of each country could have profited from a general strengthening, or weakening, of the links in the same products network.
topic countries-products network
export dynamics
economic complexity
url http://www.mdpi.com/1099-4300/20/10/735
work_keys_str_mv AT gianlucateza datadrivenapproachtothedynamicsofimportandexportofg7countries
AT michelecaraglio datadrivenapproachtothedynamicsofimportandexportofg7countries
AT attiliolstella datadrivenapproachtothedynamicsofimportandexportofg7countries
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