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Record W2786095727 · doi:10.15433/ruta.v19i1.919

ANALISIS DEL CRECIMIENTO DE LAS ECONOMÍAS EMERGENTES Y DESARROLLADAS ANTES Y DESPUES DE LA PRIMERA CRISIS MUNDIAL / ANALYSIS OF THE GROWTH OF ECONOMIES EMERGING AND DEVELOPED BEFORE AND AFTER THE FIRST GLOBAL CRISIS OF THE XXI CENTURY

2018· article· es· W2786095727 on OpenAlexaboutno aff
Antonio Caballero Tovío

Bibliographic record

Venuenot available
Typearticle
Languagees
FieldEconomics, Econometrics and Finance
TopicBusiness, Innovation, and Economy
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

En este documento se tiene como objetivo analizar el comportamiento que han tenido las economias emergentes y desarrolladas desde el ano 1999 hasta el 2016 y parte del 2017, y su relacion con la gran crisis mundial llevada a cabo entre el ano 2008 y el 2009, y al final se hace un enfasis en el caso de Colombia, considerada como una economia Sui Generis en Latinoamerica, por las secuelas que ha generado la violencia en el campo, determinada por los grupos armados y el flagelo del narcotrafico. La metodologia utilizada en este estudio consistio, en comparar un grupo de paises representativos de las economias emergentes y desarrolladas, con el fin de analizar el crecimiento economico de estas, antes y despues de la primera crisis mundial del presente siglo, ademas de algunas variables socioeconomicas, tales como la balanza comercial, el desempleo y nivel de vida, entre otras. La importancia de esta investigacion radica en que permite conocer la incidencia que ha tenido la primera crisis financiera mundial en estas economias, lo que corresponde a un tema de mucha importancia por las repercusiones en el nivel de vida de los habitantes, teniendo en cuenta que afecta las bases de las dimensiones sociales, politicas y del medio ambiente. Por otra parte, es muy sabido que el despegue de las economias emergentes se debe en gran parte a su acceso al mercado de capitales, lo que ha permitido su crecimiento, aunque por supuesto que lleva inmerso un inminente riesgo, debido a lo sensible que es este tipo de mercados ante los cambios o movimientos de las variables politicas de los paises en el ambito mundial. En este articulo se considero el comportamiento del crecimiento economico y social de algunos paises emergentes y desarrollados, como China, India, Singapur, Japon, Alemania, Reino Unido, Estados Unidos, Rusia, Canada, Brasil, Sudafrica, Chile y Colombia. ABSTRACT The objective of this document is to analyze the behavior of emerging and developed economies from 1999 to 2016 and part of 2017, and its relation to the great global crisis carried out between 2008 and 2009. The methodology used in this study consisted in comparing a group of representative countries of the emerging and developed economies, to analyze the economic growth of these, before and after the first global crisis of the present century, in addition to some socioeconomic variables such as the trade balance, unemployment and standard of living. The importance of this research is that it allows to know the incidence of the first world financial crisis in these economies, which corresponds to a subject of great importance for the impact on the standard of living of the inhabitants, considering that it affects the basis of social, political and environmental dimensions. On the other hand, it is well known that the emergence of emerging economies is due in large part to their access to the capital market, which has allowed their growth, although of course it carries immersed an imminent risk, due to how sensitive it is this type of market before the changes or movements of the political variables of the countries in the world-wide scope. In this article, the economic and social growth behavior of some emerging and developed countries such as China, India, Singapore, Japan, Germany, United Kingdom, United States, Russia, Canada, Brazil, South Africa, Chile and Colombia were considered.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.010
GPT teacher head0.225
Teacher spread0.216 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2018
Admission routes1
Has abstractyes

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