The farm real estate market is different from commodity markets because land has unique characteristics such as durability and immobility. Moreover, the heterogeneity of land and relatively low activity of land transactions limits the availability of pricing information for specific properties. Because land is the primary asset and the least liquid of any farm company, its valuation plays an important role in financial analysis. The purpose of this paper is to compare different approaches to estimate the value of land.

There are three main real property taxes in Lithuania and all of them are applied to different persons and are calculated using different methodology. The revenue from real property taxes in different countries varies from 0.1% to 3% of GDP but in Lithuania it is even less than 0.1%. This revenue is allocated to municipal budget. Improvement of real property taxation system, changes in taxable value or introduction of new real property tax can increase revenue from taxation and encourage municipalities to improve living surrounding and infrastructure.

Land means the basic part of the natural environment, the basic instrument of human life, activity and immovable property, which is being disposed of in the process of land relation. Land should be used when coordinating private and public interests as well as environment protection requirements.

Cadastral valuation needs of real property market data accumulated in the State Land Service real property market information system. Therefore, the study examined data sources and presents proposals for the exchange of information. The study analyzed cadastral assessment needs of leading indicators. Assess the price level calculation. Analyzed building land and agricultural land price trends. The main conclusion of the study is that the cadastral assessment quality real property market data can be obtained by promoting the exchange of data and normative documents.

The paper analysis the problems based on the fact that development of the real estate market make it possible for people to choose the most suitable accommodation not only in winter, but also in summer vacation. People interest of the floating house construction are increasing; therefore it is a time to evaluate and analysis the legal framework of the floating house construction, placement issues and the legal status of these houses in Latvia.

The experience and knowledge collected during the implementation of land consolidation in the district of Usti nad Orlici (Czech Republic) provides the first opportunity to describe and evaluate the impact of specific conditions associated with the design and implementation of land consolidation in the different morphological, soil and climatic areas.

This monograph is composed of three parts that cover the following topics: 1) land registration system, land reforms, land cadastre, land register, privatisation of dwellings and non-residential premises, apartment ownership, apartment association and national register of construction works in Estonia; 2) the objectives and tasks of modern cadastre, registration of real property and frame of cadastre information system (since 2006) in Latvia; 3) the system of real property cadastre, the real property register and analysis of the real property data in Lithuania.

Systems thinking is a tool that can be used by faculty to facilitate the exercise of integration while promoting critical thinking in the classroom, which is hypothesized to improve student learning. This paper describes a pilot study undertaken in 2003 in an undergraduate economics course. The paper reflects on the experiences incorporating the use of systems thinking to improve interdisciplinary learning from both the learner and teacher perspective.

Complexity of urban systems necessitates the consideration of interdependency among various factors for land use change modeling and prediction. The objective of this study is to explore the applicability of computational neural networks in modeling urban sprawl and land use change coupled with geographic information systems (GIS) in Hilton Head Island, South Carolina. We are particularly interested in the capabilities of neural networks to identify land use patterns, to model new development, and to predict future change. A binary logistic regression model is estimated comparison.

The North Dakota Land Valuation Model was created by the North Dakota Legislature in the early 1980s. This model is used to estimate the value of agricultural land based on productivity for purposes of real estate tax assessment. Prior to this change, agricultural real estate was assessed based on market values.

This article solves and characterizes optimal decision rules to invest in irreversible land improvements conditional on land tenure insecurity. Economic model is a normative dynamic programming model with known parameter for the one period returns and transition equations. The decision rules are solved numerically conditional on alternative scenarios on the likelihood that the lease contract and, thus, farmer access to land is either renewed or expires. The model parameters represent Finnish soil quality and production conditions.