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Governance assessment of the UAVs implementation in Rwanda under the fit-for-purpose land administration approach

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  • Casiano Flores, Cesar
  • Tan, Evrim
  • Buntinx, Ine
  • Crompvoets, Joep
  • Stöcker, Claudia
  • Zevenbergen, Jaap

Abstract

Conventional land tenure recording approaches to create a sustainable land administration system (LAS) have been found to be of limited value in developing countries. To respond to this challenge, the ‘fit-for-purpose’ (FFP) approach was developed. This approach has gained relevance in the last years and promotes the use of new technologies like unmanned aerial vehicles (UAV) to provide valuable base maps. Yet, contemporary failures demonstrate that technological innovations should consider the governance context when being implemented. Understanding the relevance of the FFP approach and acknowledging the importance of institutional factors in policy implementation, this research presents and applies the ‘Fit-for-purpose governance assessment framework’ (FGAF). The FGAF operationalises the seven elements of the FFP approach with five governance dimensions of the framework named Governance Assessment Tool (GAT). To apply FGAF, our selected case study is focused on the UAVs implementation in Rwanda. We conducted 37 semi-structured in-depth interviews, a pilot project with Rwandese stakeholders, and analysed several official documents and national reports. Additionally, UAV data collection was carried out to test the performance of the technology too. This research found that participation and flexibility are the governance qualities that present the main challenges, while inclusiveness, affordability, upgradability, attainability and reliability provide better opportunities to implement UAVs. Based on our case study, we conclude that the governance context favours a top-down approach for the implementation of the UAV technology in the LAS. For the sustainability of the LAS, the central government should incentivize participatory governance models for local and non-governmental actors. Also, strengthening the capacities of the field agencies at the district level through fiscal decentralisation can support the effective uptake of the UAV technologies in the LAS.

Suggested Citation

  • Casiano Flores, Cesar & Tan, Evrim & Buntinx, Ine & Crompvoets, Joep & Stöcker, Claudia & Zevenbergen, Jaap, 2020. "Governance assessment of the UAVs implementation in Rwanda under the fit-for-purpose land administration approach," Land Use Policy, Elsevier, vol. 99(C).
  • Handle: RePEc:eee:lauspo:v:99:y:2020:i:c:s0264837719313146
    DOI: 10.1016/j.landusepol.2020.104725
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    References listed on IDEAS

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    Cited by:

    1. Tan, Evrim & Pattyn, Valérie & Casiano Flores, César & Crompvoets, Joep, 2021. "A capacity assessment framework for the fit-for-purpose land administration systems: The use of unmanned aerial vehicle (UAV) in Rwanda and Kenya," Land Use Policy, Elsevier, vol. 102(C).
    2. Uzun, Bayram & Atasoy, Bura Adem & Celik Simsek, Nida, 2022. "Unmanned Aerial Vehicle (UAV) support for subdivision phase of land readjustment: A case study from Turkey," Land Use Policy, Elsevier, vol. 120(C).
    3. Stöcker, Claudia & Bennett, Rohan & Koeva, Mila & Nex, Francesco & Zevenbergen, Jaap, 2022. "Scaling up UAVs for land administration: Towards the plateau of productivity," Land Use Policy, Elsevier, vol. 114(C).
    4. Mila Koeva & Mohammed Imaduddin Humayun & Christian Timm & Claudia Stöcker & Sophie Crommelinck & Malumbo Chipofya & Rohan Bennett & Jaap Zevenbergen, 2021. "Geospatial Tool and Geocloud Platform Innovations: A Fit-for-Purpose Land Administration Assessment," Land, MDPI, vol. 10(6), pages 1-23, May.
    5. Simon Hull & Jennifer Whittal, 2021. "Do Design Science Research and Design Thinking Processes Improve the ‘Fit’ of the Fit-For-Purpose Approach to Securing Land Tenure for All in South Africa?," Land, MDPI, vol. 10(5), pages 1-26, May.
    6. Casiano Flores, Cesar & Tan, Evrim & Crompvoets, Joep, 2021. "Governance assessment of UAV implementation in Kenyan land administration system," Technology in Society, Elsevier, vol. 66(C).
    7. Yii, Kwang-Jing & Tan, Chai-Thing & Ho, Wing-Ken & Kwan, Xiao-Hui & Nerissa, Feng-Ting Shim & Tan, Yan-Yi & Wong, Kar-Horn, 2022. "Land availability and housing price in China: Empirical evidence from nonlinear autoregressive distributed lag (NARDL)," Land Use Policy, Elsevier, vol. 113(C).
    8. Salmerón-Manzano, Esther & Manzano-Agugliaro, Francisco, 2023. "Worldwide research trends on land tenure," Land Use Policy, Elsevier, vol. 131(C).

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