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If Women Counted: A New Feminist Economics
Abstract
This is a revolutionary and powerfully argued feminist analysis of modern economics, revealing how woman's housework, caring of the young, sick and the old is automatically excluded from value in economic theory. An example of this pervasive and powerful process is the United Nation System of National Accounts which is used for wars and determining balance of payments and loan requirements. The author has also written Women, Politics and Power and is a formidable force in the politics of New Zealand, serving three terms in Parliament and helping bring down a Prime Minister. She holds a doctorate in political economy and was a visiting Fellow at Harvard's Kennedy School of Government.
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Citations
Cited by
Schneider, F., Kallis, G., & Martinez-Alier, J. (2010) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2010.01.014 · Cited by 991
(2016) · doi:10.22459/caepr38.11.2016 · Cited by 696
SDG 8: Decent work and economic growth – A gendered analysis
Rai, S. M., Brown, B. D., & Ruwanpura, K. N. (2019) · World Development · doi:10.1016/j.worlddev.2018.09.006 · Cited by 369
Kabeer, N. (2016) · Feminist Economics · doi:10.1080/13545701.2015.1090009 · Cited by 366
Gender in International Relations: Feminist Perspectives and Policy Challenges
(2025) · IGI Global eBooks · doi:10.4018/979-8-3373-4257-3 · Cited by 318
Metadata
- Authors
- Budlender, D., & Waring, M.
- Venue
- Agenda
- Publisher
- JSTOR
- Published
- 1993
- Issue
- 18
- Pages
- 104
- ISSN
- 1013-0950 (ISSN-L)
- OpenAlex
- W1538244819
- Cited by
- 606
- References
- 0
- FWCI
- 19.83
- Type
- journal article
- Language
- en
- Open access
- closed
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- Budlender, D., & Waring, M. (1993). If Women Counted: A New Feminist Economics. Agenda. https://doi.org/10.2307/4065679
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.