Women, wellbeing and Wildlife Management Areas in Tanzania

Homewood, Katherine; Nielsen, Martin Reinhardt; Keane, Aidan

doi:10.1080/03066150.2020.1726323

Cited by 19 publications

(15 citation statements)

References 66 publications

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“…Labouring for other people was generally and commonly an indication of pov erty. This is also found in recent work which finds that engagement in casual work (universally called kibarua) is an indication of poverty (Homewood et al 2020). However, as we shall see in later chapters (on Dodoma and Meru), while kibarua is associated with and created by poverty, it is also a means of enrichment.…”

Section: )supporting

confidence: 52%

The Multiple Meanings of Prosperity and Poverty in Tanzania

Howland¹,

Noe²,

Brockington³

2021

Prosperity in Rural Africa?

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This book focuses heavily on changing patterns in ownership of assets. In other analyses where assets are used to investigate change then one of the standard means of investigating wealth and poverty is to construct asset indices to examine patterns across space and over time. Assets are important to local definitions of poverty and wealth in rural Africa. Yet their use in asset indices can miss locally valued change. The chapter presents data from seventeen villages across Tanzania to explore differences in the meaning of wealth and poverty across the country. Despite limitations in our site selection we found considerable diversity that makes a single asset index difficult to compile. Current abbreviated asset indices risk counting assets that do not matter locally.

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Section: )supporting

confidence: 52%

The Multiple Meanings of Prosperity and Poverty in Tanzania

Howland¹,

Noe²,

Brockington³

2021

Prosperity in Rural Africa?

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“…This research forms part of a larger project which evaluated the impacts of six WMAs in Northern and Southern Tanzania. The project focused on local people's governance 31,33,38 , livelihoods and resource use (analyses underway), and women's wellbeing 61 as well as on biodiversity and other ecosystem services 62 . We provide an outline of the overarching study design here, accompanied by: (1) detailed descriptions of the participatory exercises used to define and categorise household wealth and (2) our analytical approach, which are of specific relevance here.…”

Section: Methodsmentioning

confidence: 99%

Impact of Tanzania’s Wildlife Management Areas on household wealth

et al. 2019

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Large-scale area-based conservation measures affect millions of people globally. Understanding their social impacts is necessary to improve effectiveness and minimise negative consequences. However, quantifying the impacts of conservation measures that affect large geographic areas and diverse peoples is expensive and methodologically challenging, particularly because such evaluations should capture locally-defined conceptions of wellbeing while permitting policy-relevant comparisons. We measure the impact of Tanzania's Wildlife Management Areas (WMAs), a national community-based conservation and poverty reduction initiative. We used a novel, cost-effective impact evaluation method based on participatory wealth-ranking and Bayesian multilevel modelling. We find that from 2007-2015 the impacts of WMAs on wealth were small and variable, with no clear evidence of widespread poverty reduction. Accompanying qualitative data suggest that apparently positive effects in one WMA cannot be directly attributed to WMA activities. Our results suggest that current WMA policy needs to be revisited if it is to promote positive economic development. WMA name Region (Study Area) Year initiated Year gazetted Level of restrictions Generation of revenues

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“…They are no longer poor by their own definitions. We know this is not normally the case; the dictates of poverty drive people to sell labour (Homewood et al 2020). But aspirations of prosperity can also be an aspect of this behaviour.…”

Section: Explaining Change and Observing Its Consequencesmentioning

confidence: 99%

Telling the Stories of Asset Accumulation

Noe¹,

Brockington²

2021

Prosperity in Rural Africa?

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This chapter sums up the lessons from the book as a whole. We argue that a common, but not universal trend is that rural assets have increased. Because these assets are not recorded in poverty-line data this wealth is not easily visible, directly, in some poverty statistics. However we also insist that this does not mean that rural Tanzanian families are ‘really’ wealthy even though they look poor. Rather assets capture one facet of the experience of poverty and prosperity. Nonetheless the prevalence and frequency of asset change surprised us. It is notable that asset accumulation appears to have been driven by agricultural activities, although the timing and nature of these changes has varied in each case. We consider the implications of these findings for rural development policy and development data and the implications of our methods for long term research projects.

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Women, wellbeing and Wildlife Management Areas in Tanzania

Cited by 19 publications

References 66 publications

The Multiple Meanings of Prosperity and Poverty in Tanzania

The Multiple Meanings of Prosperity and Poverty in Tanzania

Impact of Tanzania’s Wildlife Management Areas on household wealth

Telling the Stories of Asset Accumulation

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