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Enregistrement 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 sur OpenAlexfundno aff
Klerkson Lugusa

Notice bibliographique

RevueeScholarship@McGill (McGill) · 2020
Typearticle
Langueen
DomaineEnvironmental Science
ThématiqueRangeland Management and Livestock Ecology
Établissements canadiensnon disponible
Organismes subventionnairesNational Commission for Science, Technology and InnovationUniversity of Massachusetts BostonMcGill University
Mots-clésRangelandNatural resourceNatural resource managementBusinessEnvironmental planningEnvironmental resource managementNatural (archaeology)GeographyNatural resource economicsPolitical scienceAgroforestryEconomicsEnvironmental science

Résumé

récupéré en direct d'OpenAlex

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

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,003
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Qualitatif · Signal consensuel: Qualitatif
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,039
Score d'incertitude au seuil0,078

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,003
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,002
Études des sciences et des technologies0,0180,005
Communication savante0,0030,003
Science ouverte0,0010,003
Intégrité de la recherche0,0020,001
Charge utile insuffisante (le modèle a refusé de juger)0,0040,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,054
Tête enseignante GPT0,240
Écart entre enseignants0,186 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeQualitatif
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations3
Publié2020
Routes d'admission1
Résumé présentoui

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