Publication Cover
Society & Natural Resources
An International Journal
Volume 32, 2019 - Issue 4
829
Views
9
CrossRef citations to date
0
Altmetric
Articles

Governance, Gender and the Appropriation of Natural Resources: A Case Study of ‘Left-Behind’ Women’s Collective Action in China

, , & ORCID Icon
Pages 382-399 | Received 21 Jan 2018, Accepted 14 Nov 2018, Published online: 20 Jan 2019
 

Abstract

China’s rapid urbanization has created large scale of population migration, resulting in many villages being dominated by “left-behind” women, and weak governance of those collectively owned resources. The situation has required these women to take up the functions of decision-making and governance as a remedial mechanism as well as a new path. Based on a case study in a typical hollowing-out village in central China, this paper explores an example of left-behind women’s collective action to prevent the over-exploitation of community and resources. It finds out that although traditionally excluded from public activities and marginalized, the “left-behind” women were able to mobilize and enhance collective action. When empowered, they are growing fast with endurance and courage, and as capable as anyone of defending the common-pool resources. It suggests that the left-behind women offer a new governance option for those population hollowing out rural areas.

Acknowledgments

We sincerely thank the anonymous reviewers for their insightful comments.

Additional information

Funding

We sincerely thank the funding support from FORHEAD (R45782/CN010) and the Visit Talent Program of FAO, Fudan University (C2016001).

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 260.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.