Oil Extraction and Benefit Sharing in an Illiberal Context: The Nenets and Komi-Izhemtsi Indigenous Peoples in the Russian Arctic

Tysiachniouk, Maria; Henry, Laura A.; Lamers, Machiel; Tatenhove, J.P.M. van

doi:10.1080/08941920.2017.1403666

Cited by 32 publications

(28 citation statements)

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“…This paper developed the typology of various benefit sharing regimes in the Arctic and illustrated them with examples from Russia, Alaska, and Canada. In the cases of the NAO, YNAO, and KMAO regions of Russia we see path-dependent practices of benefit sharing at the regional level vested in the principles of social infrastructure investment, compensation, and charity and implemented through a largely paternalistic mode [3,16,17]. In all these regions, the most common practice is to conduct socio-economic agreements between companies and the regional governor.…”

Section: Discussion: Considering Advantages and Disadvantages Of Benementioning

confidence: 99%

“…The interviews were transcribed, and coded to highlight relationships between companies and communities, attitudes toward development and benefit sharing arrangements. Among the case studies used in this paper, in Nenets Autonomous Okrug (NAO) field work has been done in Naryan-Mar, and small indigenous settlements: Nelmin-Nos, Horei Ver, Kolguev Island and Krasnoe during four expeditions between 2011 and 2017 (148 informants) [16,29]. In Khanty-Mansi Autonomous Okrug (KMAO) field work was done in Surgut, Khanty-Mansiysk, Beloyarsk and 29 indigenous family enterprises in the Numto Nature Park (51 informants) [30].…”

Section: Methodsmentioning

confidence: 99%

“…Local benefits and local community involvement in the decision-making processes represents part and parcel of SLO. Often local support for the extractive industry project is granted in case sufficient benefits are delivered to communities [3,[15][16][17].…”

Section: Benefit Sharing and Social License To Operatementioning

confidence: 99%

“…In these cases, the state identifies and negotiates with companies the community needs, and by doing so, closes the gaps in its own budget. In Russia, negotiations between governments and companies represent a long-standing practice, partly rooted in Soviet type of interactions [3,16,17,30]. In other contexts, e.g., in Alaska's North Slope, a municipal government takes a paternalistic stance fulfilling its role in welfare provision implemented in a top-down manner.…”

Section: Modes Of Benefit Sharingmentioning

confidence: 99%

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Benefit Sharing in the Arctic: A Systematic View

Petrov

Tysiachniouk

2019

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Benefit sharing is a key concept for sustainable development in communities affected by the extractive industry. In the Arctic, where extractive activities have been growing, a comprehensive and systematic understanding of benefit sharing frameworks is especially critical. The goal of this paper is to develop a synthesis and advance the theory of benefit sharing frameworks in the Arctic. Based on previously published research, a review of literature, a desktop analysis of national legislation, as well as by capitalizing on the original case studies, this paper analyzes benefit sharing arrangements and develops the typology of benefit sharing regimes in the Arctic. It also discusses the examples of various regimes in Russia, Alaska, and Canada. Each regime is described by a combination of principles, modes, mechanisms, and scales of benefit sharing. Although not exhaustive or entirely comprehensive, this systematization and proposed typologies appear to be useful for streamlining the analysis and improving understanding of benefit sharing in the extractive sector. The paper has not identified an ideal benefit sharing regime in the Arctic, but revealed the advantages and pitfalls of different existing arrangements. In the future, the best regimes –in respect to sustainable development would support the transition from benefit sharing to benefit co-management.

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Section: Discussion: Considering Advantages and Disadvantages Of Benementioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Benefit Sharing and Social License To Operatementioning

confidence: 99%

Section: Modes Of Benefit Sharingmentioning

confidence: 99%

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Benefit Sharing in the Arctic: A Systematic View

Petrov

Tysiachniouk

2019

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“…Western and Russian researchers [3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18] provide different solutions to the above-mentioned problem, such as improvement of legal protection of the rights of indigenous peoples and implementing [19]. Areas of highest concentration of Chukchi, Dolgans, and Yukagirs in the Sakha Republic (Yakutia), according to the 2010 All-Russian Census [19].…”

Section: Introductionmentioning

confidence: 99%

Ethnological Expertise in Yakutia: The Local Experience of Assessing the Impact of Industrial Activities on the Northern Indigenous Peoples

Sleptsov

Petrova

2019

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Indigenous small-numbered peoples of the North traditionally live on the territory of the Sakha Republic (Yakutia). Growing industrial activities on their traditional natural resource management territories (hereinafter TNRMT) raise issues of assessing the impact on traditional indigenous livelihood. Ethnological expertise was introduced in Yakutia in 2010 as the way to solve these problems. This article addresses issues of the practical application of the ethnological expertise in the complex environment of the Russian Arctic. More specifically, the local experience of implementation of the Sakha Republic (Yakutia) is examined in the article. The research was conducted with the use of analytical, social, statistical, and legal methods. The necessity of development of the ethnological expertise institute is explained, along with the legal basis for regulating relationships among governmental bodies, business, and northern indigenous peoples. Both of those factors are necessary for sustainable development of the Russian Arctic.

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Land for equity? A benefit distribution model for mining‐induced displacement and resettlement

2020

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Land access is central to natural resource development projects. Business strategy for securing continuing tenure to support operational activities is therefore a key factor in determining the overall success of resource projects. A major shortcoming in resettlement planning has been the failure to address basic inequities stemming from the transfer of land assets. Compensation for land in conventional models neglects to account for the potential or intended use of the developer, meaning that affected people (APs) assets are grossly undervalued in the environment in which they acquired. Not only do resource projects under-compensate APs for their losses, but programming for livelihood restoration and the enjoyment of project benefits more generally has proven to be almost universally poor. Performance outcomes reflect short-term project milestones but lack a strategic dimension regarding how the company will maintain land access and the continuing support of its nearest stakeholders. Innovations are needed on at least two fronts: (i) the recognition of AP land values in mining project developments and (ii) enterprise financing to avoid the issue of companies driving incurred compensation costs downward. This article outlines the conceptual basis of a land pooling model as the means for securing financial equity for people displaced by mining projects. The authors conclude that the land pooling model of resettlement (LPMR) can improve the short-to medium-term economic conditions of APs and advances suggestions to further promote a balance of interests in mining-induced displacement and resettlement cases.

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Oil Extraction and Benefit Sharing in an Illiberal Context: The Nenets and Komi-Izhemtsi Indigenous Peoples in the Russian Arctic

Cited by 32 publications

References 20 publications

Benefit Sharing in the Arctic: A Systematic View

Benefit Sharing in the Arctic: A Systematic View

Ethnological Expertise in Yakutia: The Local Experience of Assessing the Impact of Industrial Activities on the Northern Indigenous Peoples

Land for equity? A benefit distribution model for mining‐induced displacement and resettlement

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