Next Article in Journal
Detecting and Reducing Biases in Cellular-Based Mobility Data Sets
Next Article in Special Issue
Maximum-Entropy Tools for Economic Fitness and Complexity
Previous Article in Journal
Research Frontier in Chaos Theory and Complex Networks
Previous Article in Special Issue
Economic Complexity Based Recommendation Enhance the Efficiency of the Belt and Road Initiative
Open AccessArticle

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

1
Dipartimento di Fisica e Astronomia Università di Padova, Via Marzolo 8, I-35131 Padova, Italy
2
KU Leuven, Institute for Theoretical Physics, Celestijnenlaan 200D, 3001 Leuven, Belgium
3
Sezione INFN, Università di Padova, Via Marzolo 8, I-35131 Padova, Italy
*
Author to whom correspondence should be addressed.
Entropy 2018, 20(10), 735; https://doi.org/10.3390/e20100735
Received: 31 July 2018 / Revised: 17 September 2018 / Accepted: 19 September 2018 / Published: 25 September 2018
(This article belongs to the Special Issue Economic Fitness and Complexity)
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. View Full-Text
Keywords: countries-products network; export dynamics; economic complexity countries-products network; export dynamics; economic complexity
Show Figures

Figure 1

MDPI and ACS Style

Teza, G.; Caraglio, M.; Stella, A.L. Data Driven Approach to the Dynamics of Import and Export of G7 Countries. Entropy 2018, 20, 735. https://doi.org/10.3390/e20100735

AMA Style

Teza G, Caraglio M, Stella AL. Data Driven Approach to the Dynamics of Import and Export of G7 Countries. Entropy. 2018; 20(10):735. https://doi.org/10.3390/e20100735

Chicago/Turabian Style

Teza, Gianluca; Caraglio, Michele; Stella, Attilio L. 2018. "Data Driven Approach to the Dynamics of Import and Export of G7 Countries" Entropy 20, no. 10: 735. https://doi.org/10.3390/e20100735

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop