[ABE-L] Ciclo de Seminários do PPGE/2026.1

['Francisco Cysneiros' via abe-l@ime.usp.br]

Ciclo de Seminários do PPGE/2026.1



Temos o prazer de anunciar que, no dia  06 de maio de 2026,
o seminário será ministrado pelo  Prof. Dr. Leonardo Henrique Silva
Fernandes UAST-UFRPE




Título: Macroeconophysics Indicator of Economic Efficiency (MIEE)


Data e horário: Quarta-feira, 06/05/2026, às 14h (GMT-03)

Local: Auditório Prof. Ruy Luis Gomes, sala 347 (*Auditório do DE*),

Departamento de Estatística - CCEN – UFPE


Palestrante : Prof. Dr. Leonardo Henrique Silva Fernandes UAST-UFRPE



Abstract: In the classical macroeconomic approach, economic growth,
understood as the increase in production, is traditionally regarded as the
primary driver of progress. However, in light of Macroeconophysics, an
interdisciplinary framework that integrates Statistical Physics,
Computational Physics, Nonlinear Dynamics, Information Theory, Complex Systems,
and Macroeconomics, it becomes evident that growth alone is not
sufficient. Rather,
it is imperative to grow efficiently, in order to sustain long-term
virtuous cycles capable of promoting economic progress and social
well-being. Within this context, the dynamics of quarterly GDP for 26 OECD
member countries were analyzed over nearly six decades. Unlike conventional
approaches, these time series were treated not merely as numerical data,
but as complex signals subject to structures of order and disorder, varying
degrees of predictability, levels of uncertainty, and hidden dynamical
patterns. To capture these properties, Information Theory quantifiers were
employed, specifically Permutation Entropy and Fisher Information Measure.
Based on these complexity metrics, the bidimensional Shannon–Fisher
Causality Plane (SFCP) was constructed, enabling the simultaneous
characterization of global disorder and local organization in economic
systems, and providing a robust measure of the randomness inherent in GDP
dynamics. Building upon this framework, we propose the
Macroeconophysics Indicator
of Economic Efficiency Indicator (MIEE), designed to quantify the degree of
efficiency with which an economy converts economic growth into a
sustainable long-term virtuous cycle that maximizes social well-being.
Empirical
evidence indicates that the most efficient economies are not necessarily
those exhibiting the highest growth rates, but rather those whose systems
display greater structural organization, predictability, and dynamical
stability. Countries such as the United States, France, and Belgium stand
out for their ability to transform economic growth into sustainable
trajectories, whereas other economies remain characterized by higher disorder,
uncertainty, and lower predictability. More than a new indicator, the MEEI
represents a significant conceptual shift, proposing that the economy be
understood as a complex physical system in which efficiency transcends mere
production expansion and instead reflects the capacity to convert

information into well-being. Thus, the MEEI emerges as a robust and
conceptually sophisticated scientific contribution, offering new
perspectives for public policy design, development strategies, and the
redefinition
of the very concept of economic progress in the contemporary context.

-- 
Francisco José A. Cysneiros
Full professor
Departament of Statistics - UFPE
Co-Director of Graduate Studies, Statistics, UFPE
Editor in Chief of Brazilian Journal of Probability and Statistics
My URLs:
www.de.ufpe.br/~cysneiros  <http://www.de.ufpe.br/~cysneiros>
http://150.161.44.6/cysneiros

Lattes:

*ResearchedID:*
*Publons:*
http://lattes.cnpq.br/1313497098151734
http://www.researcherid.com/rid/G-6333-2012
https://publons.com/a/1540091
ORCID: http://orcid.org/0000-0001-6757-6969


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