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Women, wellbeing and Wildlife Management Areas in Tanzania

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Women, wellbeing and Wildlife Management Areas in Tanzania. / Homewood, Katherine; Nielsen, Martin Reinhardt; Keane, Aidan.

I: Journal of Peasant Studies, 21.04.2020.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Homewood, K, Nielsen, MR & Keane, A 2020, 'Women, wellbeing and Wildlife Management Areas in Tanzania', Journal of Peasant Studies. https://doi.org/10.1080/03066150.2020.1726323

APA

Homewood, K., Nielsen, M. R., & Keane, A. (2020). Women, wellbeing and Wildlife Management Areas in Tanzania. Journal of Peasant Studies. https://doi.org/10.1080/03066150.2020.1726323

Vancouver

Homewood K, Nielsen MR, Keane A. Women, wellbeing and Wildlife Management Areas in Tanzania. Journal of Peasant Studies. 2020 apr 21. https://doi.org/10.1080/03066150.2020.1726323

Author

Homewood, Katherine ; Nielsen, Martin Reinhardt ; Keane, Aidan. / Women, wellbeing and Wildlife Management Areas in Tanzania. I: Journal of Peasant Studies. 2020.

Bibtex

@article{6608cfea0dca4fd5ac88e7ff1a1e24ef,
title = "Women, wellbeing and Wildlife Management Areas in Tanzania",
abstract = "Community-based wildlife management claims pro-poor, gender-sensitive outcomes. However, intersectional political ecology predicts adverse impacts on marginalised people. Our large-scale quantitative approach draws out common patterns and differentiated ways women are affected by Tanzania’s Wildlife Management Areas (WMAs). This first large-scale, rigorous evaluation studies WMA impacts on livelihoods and wellbeing of 937 married women in 42 villages across six WMAs and matched controls in Northern and Southern Tanzania. While WMAs bring community infrastructure benefits, most women have limited political participation, and experience resource use restrictions and fear of wildlife attacks. Wealth and region are important determinants, with the poorest worst impacted.",
keywords = "Bayesian hierarchical models, causal evaluation, Community-Based Wildlife Management, conservation impacts, Married women, Tanzania, wellbeing",
author = "Katherine Homewood and Nielsen, {Martin Reinhardt} and Aidan Keane",
year = "2020",
month = "4",
day = "21",
doi = "10.1080/03066150.2020.1726323",
language = "English",
journal = "The Journal of Peasant Studies",
issn = "0306-6150",
publisher = "Taylor & Francis Online",

}

RIS

TY - JOUR

T1 - Women, wellbeing and Wildlife Management Areas in Tanzania

AU - Homewood, Katherine

AU - Nielsen, Martin Reinhardt

AU - Keane, Aidan

PY - 2020/4/21

Y1 - 2020/4/21

N2 - Community-based wildlife management claims pro-poor, gender-sensitive outcomes. However, intersectional political ecology predicts adverse impacts on marginalised people. Our large-scale quantitative approach draws out common patterns and differentiated ways women are affected by Tanzania’s Wildlife Management Areas (WMAs). This first large-scale, rigorous evaluation studies WMA impacts on livelihoods and wellbeing of 937 married women in 42 villages across six WMAs and matched controls in Northern and Southern Tanzania. While WMAs bring community infrastructure benefits, most women have limited political participation, and experience resource use restrictions and fear of wildlife attacks. Wealth and region are important determinants, with the poorest worst impacted.

AB - Community-based wildlife management claims pro-poor, gender-sensitive outcomes. However, intersectional political ecology predicts adverse impacts on marginalised people. Our large-scale quantitative approach draws out common patterns and differentiated ways women are affected by Tanzania’s Wildlife Management Areas (WMAs). This first large-scale, rigorous evaluation studies WMA impacts on livelihoods and wellbeing of 937 married women in 42 villages across six WMAs and matched controls in Northern and Southern Tanzania. While WMAs bring community infrastructure benefits, most women have limited political participation, and experience resource use restrictions and fear of wildlife attacks. Wealth and region are important determinants, with the poorest worst impacted.

KW - Bayesian hierarchical models

KW - causal evaluation

KW - Community-Based Wildlife Management

KW - conservation impacts

KW - Married women

KW - Tanzania

KW - wellbeing

U2 - 10.1080/03066150.2020.1726323

DO - 10.1080/03066150.2020.1726323

M3 - Journal article

AN - SCOPUS:85083658397

JO - The Journal of Peasant Studies

JF - The Journal of Peasant Studies

SN - 0306-6150

ER -

ID: 240985556