Cadastral reinstatement methods within Queensland involve the use of modern digital surveying techniques in combination with traditional non-digital methods of recording and reporting information. This leads to the need to manually enter and re-enter data into a digital format at different stages of a survey. The requirement to lodge survey information with government organisations in a non-digital survey plan format also forces a break in digital data flow throughout the cadastral surveying system, which can only be updated by changes in the lodgement regulations. The private cadastral organisations are predominantly responsible for carrying out the cadastral surveys and the government agencies are primarily responsible for the examination, verification and administration of the cadastral data. These organisations will have no communication link for digital cadastral data until the introduction of digital data lodgement. The digital system within the private cadastral surveying organisations can therefore be considered to be an independent system with consideration needed to be given to the future introduction of a digital lodgement system at some undefined time in the future. Cadastral surveyors hold large amounts of digital information that is suitable for digital reinstatement systems. This information, if appropriately archived and distributed, has the capacity to meet the needs of reinstatement systems including as an alternative source of digital information that will eventually be obtained from digital lodgement systems. The existing technology and the private organisation structures are capable of supporting continuous digital data flow and automated systems. This research proposes a process of development for private cadastral organisations to advance from traditional systems to continuous digital data flow and automated processes within their cadastral reinstatement systems. The development process is linked to existing legislation and technology taking into consideration likely future directions. The current legislative and technological environments within Queensland allow for development towards automated digital systems that will enhance most current cadastral reinstatement systems.

Land information management in Ghana, as in many developing countries, remains a practice monopolised by public sector land administration agencies, which are known for being inefficient in delivering services that satisfy the needs of citizens. Under this monopolised regime, landed property related data gathering, processing through land registration, storage and dissemination of the information as final product for public use is entirely based on expert knowledge. Meanwhile, reliance on this kind of knowledge for land information management has continuously failed to promote smooth flow and a broad based access to reliable information for decision making by citizens. This failure has created a huge land information gap between market participants’ especially genuine and fraudulent landed property owners on one hand and potential buyers, lenders, and investors on the other hand. Thus, there is information asymmetry, which this study identifies as a major contributory factor to the challenges of uncertainties and high transaction costs that characterise dealings in urban real estate markets in Ghana. In order to verify how the information gap can be closed, this research adopts quantitative research methodology. The research mainly explores multinomial logistic regression model to test Economic Theory of Knowledge propounded by Hayek (1945) using Ghana as the context of study. Primary data was collected from potential land information suppliers within the private sector and existing users of land information as likely beneficiaries of an efficient land information management regime. Interrater agreement index and Pearson’s bivariate correlation analysis were used to analyse primary data gathered from users of land information in relation to land information needs and competition in land information harnessing. Following verification of the relationship between competition and economic knowledge, the key research finding is that there are two kinds of land information management knowledge and these are expert and entrepreneurial land information management knowledge. Thus, the research presents empirical evidence that out of four types of entrepreneurial knowledge verified, two types namely adaptive and cost-efficient knowledge are most likely to influence competition in land information supply. Also, competition is likely to deliver land information services that satisfy the needs of users of land information. Altogether, the research findings converge with the theory verified. The research outcome suggests that deregulation of state monopoly of land information harnessing for competition among private economic actors in Ghana is due. Removing this barrier is likely to promote dynamic competition in which licensed land information suppliers can use adaptive and cost efficient knowledge in gathering and disseminating land information at competitive prices. The study also provides evidence that all-in-one land information, which is broadly accessible at competitive prices is likely to be required to help address the problem of information asymmetry in the context of Ghana. For purposes of practice in the context of urban real estate markets in Ghana, a framework based on the research findings is developed and validated. The framework is proposed to inform policy decision on deregulation for competition in land information harnessing to enable the real estate sector function well. To kick start the process, deregulation in land data gathering and dissemination of land information is suggested.