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Record W3215325546 · doi:10.82308/39420

Institutions in public-private partnerships for natural resources conservation, management and use: A case study of the northern rangelands of Kenya

2020· article· en· W3215325546 on OpenAlexfundno aff
Klerkson Lugusa

Bibliographic record

VenueeScholarship@McGill (McGill) · 2020
Typearticle
Languageen
FieldEnvironmental Science
TopicRangeland Management and Livestock Ecology
Canadian institutionsnot available
FundersNational Commission for Science, Technology and InnovationUniversity of Massachusetts BostonMcGill University
KeywordsRangelandNatural resourceNatural resource managementBusinessEnvironmental planningEnvironmental resource managementNatural (archaeology)GeographyNatural resource economicsPolitical scienceAgroforestryEconomicsEnvironmental science

Abstract

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Decisions regarding the management of natural resources in the northern rangelands of Kenya have traditionally been made collectively through leadership offered by customary institutions. However, the evolution of Kenya as a flexible environmental state has had implications for natural resource management and institutions in arid and semi-arid rangeland (ASAL) ecosystems. As a result, the rise of collaborative natural resource management has been characterized by the growth of public-private conservation partnerships (PPPs). Ecotourism and payments for ecosystem services have thus evolved as flexible forms of environmental governance through which challenges in natural resources management can be addressed.This study was motivated by the lack of documented empirical research on the effects of PPPs as hybridized modes of natural resource management. Specifically, this study aims to characterize the partnerships in terms of their evolution, actors’ interactions and power dynamics, as well as examine their efficiency, effectiveness and equity implications of natural resource governance. Four conservancies under the umbrella of the Northern Rangelands Trust (NRT) in the ASALs of Samburu County were purposefully selected for study. Key informant interviews, focus group discussions, household interviews using a semi-structured questionnaire and researcher’s observation of field conditions were used to gather data. Data was analysed using the Statistical Package for the Social Sciences (SPSS) software. The findings show that the existence of wildlife on communal lands outside protected areas is the key condition for creating these partnerships. Furthermore, the partnerships are characterized by various kinds of exchanges between stakeholders, such as the provision of political support, physical security, legitimacy and finances. Additionally, the rolling back of the state under neoliberalism has led to the rise to power of the NRT whose influence has been magnified by ties with international organizations such as The Nature Conservancy. The results of financial cost-benefit analyses of the conservancies revealed their operational inefficiency. As a result, there exists an over-reliance on donor-funding, rendering the practice of conservation unsustainable in its current form. As support for conservation initiatives strongly hinges on a local community’s acceptance and collaboration, the PPPs undertake investments in communal projects, such as the provision of physical security which is critical to conservation initiative’s success. Considerable effort is also geared towards shrewd environmental stewardship. However, in working towards their objectives, conservation PPPs are characterized by inequities in access, decision-making and outcomes. This finding, I argue, is a result of the failure to fully acknowledge and incorporate the contextual aspects of equity. Overall, the implications of this thesis suggest that public-private conservation partnerships have the potential to be effective modes of natural resource governance if: (i) the devolved county system of government takes charge to empower local communities more, and, as a consequence avert tendencies to assert dominance within partnerships by other stakeholders; (ii) a renegotiation of favourable conservancy-investor partnership agreements occurs, as a way of financially empowering conservancies, thereby reducing the donor-dependency tendency; (iii) more effort is geared towards ensuring a fair distribution of benefits to individual households. This can be achieved, for instance, by linking communities directly to local and external markets in the framework of the NRT’s BeadWORKS and LivestockWORKS programs, and by shifting the perception of marginalized social groups such as women and morans

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.039
Threshold uncertainty score0.078

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0180.005
Scholarly communication0.0030.003
Open science0.0010.003
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0040.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.054
GPT teacher head0.240
Teacher spread0.186 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2020
Admission routes1
Has abstractyes

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