Toward Smart Land Management: Land Acquisition and the Associated Challenges in Ghana. A Look into a Blockchain Digital Land Registry for Prospects | Land Portal

Resource information

Date of publication: 
March 2021
Resource Language: 
ISBN / Resource ID: 
10.3390/land10030239
License of the resource: 
Copyright details: 
© 2021 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article.

Land acquisition in Ghana is fraught with challenges of multiple sales, numerous unofficial charges, unnecessary bureaucracies, intrusion of unqualified middlemen, and lack of transparency among others. Studies have suggested digitization as a way forward to improve Ghana’s land management system and to address these acquisition challenges. However, none of these studies have specifically provided a clear conceptual digital framework for land acquisition. Most contemporary land literature globally appraise blockchain technology as a potential solution to these challenges in Ghana’s land acquisition process. This article applies an integrative review, mixed with strengths, weaknesses, opportunities, and threats (SWOT) analysis, and deductive lessons from a digital land registry concept to develop a blockchain-based smart land acquisition framework solution in view of Ghana’s land acquisition challenges. However, it is identified that threats of sabotage of this framework exist among some customary land owners, land officials, and private blockchain-based land experts for various reasons. Among others, a legal basis for a public–private partnership is recommended particularly to discourage sabotage from private blockchain-based land experts. We recommend future research works to delve into establishing a framework that can be used as a guide to assess the readiness of land management and land administration systems for blockchain consideration in sub-Sahara Africa, particularly Ghana.

Authors and Publishers

Author(s), editor(s), contributor(s): 

Ameyaw, Prince D.
de Vries, Walter T.

Publisher(s): 

Data provider

Geographical focus

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