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Transformations, transitions, or tall tales? A global review of the uptake and impact of NoSQL, blockchain, and big data analytics on the land administration sector

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  • Bennett, Rohan Mark
  • Pickering, M.
  • Sargent, J.

Abstract

Unstructured data, non-relational databases, distributed databases, and big data analytics potentially change the landscape for digital land data creation, use, management, and dissemination. The way land data is governed and the resultant impact on land tenure security delivery is open to substantial re-thinking. Drawing from international cases, this paper provides a state-of-the-art examination of prototypes and demonstrators from the global land sector. The aim is to deliver an insight into the opportunities, challenges, impacts, and future scenarios regarding the application of the emerging technologies. The paper finds that whilst uptake of non-relational and distributed databases is occurring, it remains largely at the level of proof-of-concept, demonstrator or pilot. Scaled uptake is occurring slower than anticipated, and to a lesser degree than in other sectors. However, the broader and longer-term impacts on the land sector remain difficult to judge. Meanwhile, emerging distributed analytical databases appear to be under-exploited or at least underexplored within the land sector. Overall, the examined technologies are seen to enable new operational approaches for conventional land sector transactions, and also entirely new land related services, digital products, and actors: the ways and means of holding, transferring, and securing land may become more nuanced, fractionalized, and/or automated. Whether these observed embryonic developments lead to sector transformation or orderly transition, is seen to be heavily reliant on the prevailing political, socio-cultural and institutional settings within a jurisdiction.

Suggested Citation

  • Bennett, Rohan Mark & Pickering, M. & Sargent, J., 2019. "Transformations, transitions, or tall tales? A global review of the uptake and impact of NoSQL, blockchain, and big data analytics on the land administration sector," Land Use Policy, Elsevier, vol. 83(C), pages 435-448.
    • Handle: RePEc:eee:lauspo:v:83:y:2019:i:c:p:435-448
    DOI: 10.1016/j.landusepol.2019.02.016
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    References listed on IDEAS

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    1. Nir Kshetri, 2017. "Will blockchain emerge as a tool to break the poverty chain in the Global South?," Third World Quarterly, Taylor & Francis Journals, vol. 38(8), pages 1710-1732, August.
    2. Dale, Peter & McLaughlin, John, 2000. "Land Administration," OUP Catalogue, Oxford University Press, number 9780198233909.
    3. Meghna Bal, 2017. "Securing Property Rights in India Through Distributed Ledger Technology," Working Papers id:11567, eSocialSciences.
    4. Patricia Kameri-Mbote, 2016. "Kenya Land Governance Assessment Report," World Bank Publications - Reports 28502, The World Bank Group.
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    Citations

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    Cited by:

    1. Sundarakani, Balan & Ajaykumar, Aneesh & Gunasekaran, Angappa, 2021. "Big data driven supply chain design and applications for blockchain: An action research using case study approach," Omega, Elsevier, vol. 102(C).
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    3. Agnieszka Trystuła & Małgorzata Dudzińska & Ryszard Źróbek, 2020. "Evaluation of the Completeness of Spatial Data Infrastructure in the Context of Cadastral Data Sharing," Land, MDPI, vol. 9(8), pages 1-18, August.
    4. Rohan Mark Bennett & Jerome Donovan & Eryadi Masli & Kirsikka Riekkinen, 2023. "Land Administration As-A-Service: Relevance, Applications, and Models," Land, MDPI, vol. 12(1), pages 1-19, January.
    5. 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).
    6. Rosemond Owusu Ansah & Zaid Abubakari & Benjamin Quaye & Dimo Todorovski & Chipofya Malumbo & Christiaan Lemmen, 2024. "Navigating the Terrain of Digital Transition: Ghana’s Journey of Developing a Digital Land Information System," Land, MDPI, vol. 13(4), pages 1-28, April.
    7. Pierre-François Blin & Trias Aditya & Purnama Budi Santosa & Christophe Claramunt, 2023. "A Methodological Approach towards Cyber Risk Management in Land Administrations Systems," Land, MDPI, vol. 13(1), pages 1-17, December.
    8. Rohan Mark Bennett & Eva-Maria Unger & Christiaan Lemmen & Paula Dijkstra, 2021. "Land Administration Maintenance: A Review of the Persistent Problem and Emerging Fit-for-Purpose Solutions," Land, MDPI, vol. 10(5), pages 1-18, May.
    9. Josip Križanović & Doris Pivac & Hrvoje Tomić & Siniša Mastelić-Ivić, 2021. "Review of Land Administration Data Dissemination Practices: Case Study on Four Different Land Administration System Types," Land, MDPI, vol. 10(11), pages 1-21, November.
    10. Ameyaw, Prince Donkor & de Vries, Walter Timo, 2023. "Blockchain technology adaptation for land administration services: The importance of socio-cultural elements," Land Use Policy, Elsevier, vol. 125(C).
    11. Josip Križanović & Miodrag Roić, 2023. "Development of a Methodology and Model for Land Administration Data Dissemination Processes," Land, MDPI, vol. 12(3), pages 1-19, March.
    12. Guler, Dogus & Yomralioglu, Tahsin, 2021. "A reformative framework for processes from building permit issuing to property ownership in Turkey," Land Use Policy, Elsevier, vol. 101(C).
    13. Oukes, Peter & Andel, Marc van & Folmer, Erwin & Bennett, Rohan & Lemmen, Christiaan, 2021. "Domain-Driven Design applied to land administration system development: Lessons from the Netherlands," Land Use Policy, Elsevier, vol. 104(C).
    14. Rohan Bennett & Todd Miller & Mark Pickering & Al-Karim Kara, 2021. "Hybrid Approaches for Smart Contracts in Land Administration: Lessons from Three Blockchain Proofs-of-Concept," Land, MDPI, vol. 10(2), pages 1-22, February.
    15. Gholipour, Hassan F. & Arjomandi, Amir & Andargoli, Amirhossein Eslami & Bennett, Rohan, 2023. "On real estate market transparency: The relationship with ICT trade and investment," Land Use Policy, Elsevier, vol. 133(C).

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