Journal of Scientific Papers

ECONOMICS & SOCIOLOGY


© CSR, 2008-2019
ISSN 2071-789X

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  • General Founder and Publisher:

     
    Centre of Sociological Research

     

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    University of Szczecin (Poland)

    Széchenyi István University, (Hungary)

    Mykolas Romeris University (Lithuania)

    Alexander Dubcek University of Trencín (Slovak Republic)


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Still ‘Few, Slow and Low’? On the Female Dimension of Technology, Labour Markets and Economic Activity: Evidence for the period of 1990-2017

Vol. 12, No 1, 2019

1

Ewa Lechman,

 

Gdansk University of Technology,

Faculty of Management and Economics,

Gdańsk, Poland,

E-mail: ewalechm@pg.edu.pl

ORCID: 0000-0003-1718-7134

Still ‘Few, Slow and Low’? On the Female Dimension of Technology, Labour Markets and Economic Activity: Evidence for the period of 1990-2017

 

 

 


 

Abstract. The known in empirical economics question ‘Why so Few? Why so Slow? Why so Low?’ refers here to the persistently small number of women involved in innovative activities, the slowness of change in the inequalities between women and men in these fields, and women’s continuing lower rank in business and academic positions. In developing countries, women`s labour and entrepreneurial activity remains an ‘untapped resource’ for economic growth. In recent years, the rising proportion of women participating in the labour market has drawn the attention of many scholars. This positive change towards mobilising previously unused human resources is perceived as one of the positive externalities enhanced by the seemingly boundless flow of information and communication technology. This research examines, from a macroperspective, the association between economic deployment of ICT, women`s labour market participation, and economic growth in 64 developing countries between 1990 and 2017. We rely on the macrodata extracted from the World Bank Development Indicators (2018), the World Bank Enterprise Survey, the World Development Reports and the World Telecommunication/ICT Indicators Database (2018). Our methodological framework, in addition to standard descriptive statistics, combines time trends, graphical non-parametric analysis and  panel vector-autoregressive models.

 

Received: October, 2018

1st Revision: December, 2018

Accepted: February, 2019

 

DOI: 10.14254/2071-789X.2019/12-1/1

JEL ClassificationO30, O40

Keywords: ICT, female labour, women, developing countries