Números Publicados

Formato: 2019
WISE VIRTUE TO KNOW TIME. TIME USE BY GENDER: A COMPARATIVE ANALYSIS BETWEEN MEXICO AND EUROPE
Revista:
10 - 2004
Autores:
Mercedes Pedrero Nieto
Resumen:

This article shows some of the features concerning the time dedicated to domestic work. A comparative analysis is developed among Mexico, Spain and a set of twelve European countries. This analysis is based on the Time Use Surveys performed in 2002 and/or 2003. A demographic and economic context is given to support the analysis, also sustained by the theory on domestic work.

Archvo adjunto:
Temas:
Time use, concept of domestic work, time of work, gender inequalities
About Ethics, Economics and Governance
Revista:
10 - 2004
Autores:
Paulo Paiva
Resumen:

“About Ethics, Economy and Governance” deals with ethics as means of

governance, the relations between ethics and economy and its consequences

for economic policies. The historical context for the analysis is Latin America.

In the last decades Latin America experienced deep reforms in both the

economy and the state. Successful macroeconomic programs were put in place

and inflation went down. However, inequality and poverty did not decline.

Archvo adjunto:
Temas:
ethics, governance, economic policies, Latin America
Introduction
Revista:
10 - 2004
Autores:
Cristina García Sainz, Teresa Rendón Gan
Archvo adjunto:
Sección:
Introduction
TECHNOLOGY AND SUCCESS IN MEXICO: A PROPOSAL FOR INDUSTRIAL DIVISION
Revista:
10 - 2004
Autores:
Dmitri Fujii Olechko
Resumen:

Recent literature on Mexican industry has emphasized its uneven sectorial development: some sectors have been successful, while the rest remain well behind. Given these circumstances, the present paper proposes a particular division for Mexican industry in High-Tech and Low-Tech sectors. This division is based on technological and structural variables for two different samples of the nineties and verified for statistical robustness using the discriminant analysis technique.

Archvo adjunto:
Temas:
Manufacturing, Mexico, discriminant analysis

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