Assessing the scale of women’s informal work: An industry outlook for 14 developing countries

Maarten van Klaveren and Kea Tijdens

Chapter 4 in Regulating for Equitable and Job-Rich Growth, 2017, pp 91-112 from Edward Elgar Publishing

Abstract: This chapter aims to assess the size of informal employment from a gender perspective, focusing on industries with large shares of women workers and based on evidence from 14 countries. In these countries informal work was predominantly found in the agricultural sector. With a decreasing share of agriculture in total employment and a stable share of women, in the 2000s women’s informal employment decreased overall. The (further) shift of employment out of agriculture may be crucial for reducing vulnerable employment. However, in most countries this shift only partly translates into less vulnerable and higher value added activities, in particular in view of the characteristics of employment in commerce. The authors note that the lack of employment data on agriculture in national statistics hampers insight in the constraints for women of this major transformation, notably in terms of infrastructural provisions and basic services needed.

Keywords: Development Studies; Economics and Finance; Law - Academic; Politics and Public Policy Social Policy and Sociology (search for similar items in EconPapers)
Date: 2017
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.elgaronline.com/view/9781788112666.00011.xml (application/pdf)
Our link check indicates that this URL is bad, the error code is: 503 Service Temporarily Unavailable

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:elg:eechap:17973_4

Ordering information: This item can be ordered from
http://www.e-elgar.com

Access Statistics for this chapter

More chapters in Chapters from Edward Elgar Publishing
Bibliographic data for series maintained by Darrel McCalla ().