WYKORZYSTANIE WSPÓŁCZYNNIKA MORANA DO KLASYFIKACJI OBIEKTÓW PRZESTRZENNYCH NA PRZYKŁADZIE CEN GRUNTÓW ROLNICZYCH

The aim of the work was to show the possibility of using the global Moran statistics for the classification of spatial objects on the example of agricultural land prices The analyses were conducted at the level of communes (in NUTS 3 subregions of the voivodeship) in the years 2004-2012. Apart from the global Moran coefficient and the Moran diagram, nonparametric statistics (one-way ANOVA on ranks) were used in the work.

Multilevel Analysis of the Pressure of Agricultural Land Conversion, Degree of Urbanization and Agricultural Land Prices in Taiwan

In 2000, to efficiently implement land-use policies, the Taiwanese government amended the Agricultural Development Act by easing restrictions on agricultural land purchases. As a result of increasing land development and investment needs, agricultural land prices have surged. This study aims to examine whether agricultural land prices in Pingtung County are affected by land control policy measures, the pressure of agricultural land conversion and the degree of urbanization. A multilevel analysis approach was used to analyze land price differences in townships in Pingtung County. The estimation results derived from the null model indicated significant differences between the mean land price in each administrative division. Specifically, the ratio of agricultural land prices affected by differences in Level 2 township-related factors was 21.8%, while the ratio of those affected by differences in Level 1 land-related factors was 78.2%. An empirical intercepts-and-slopes-as-outcomes regression model demonstrated that Level 2 township-related factors, such as the pressure of agricultural land conversion and the degree of urbanization, had cross-level, direct and positive impacts on agricultural land prices; while Level 1 land-related factors, such as lot size control measures on farmhouse construction and land-use zoning, had positive and significant impacts on agricultural land prices.

Testing for regime-switching behaviour in Finnish agricultural land prices

PurposeThis study analyses agricultural land price dynamics in order to better understand price development and to improve forecast accuracy. Understanding the evolution of agricultural land prices is important when considering sound investment decisions.Design/methodology/approachThis study applies threshold autoregression to model agricultural land prices. The data includes quarterly observations on Finnish agricultural land prices.FindingsThe study shows that Finnish agricultural land prices exhibit regime-switching behaviour when using past changes in prices as a threshold variable. The threshold autoregressive model not only fits the data better but also improves the accuracy of price forecasts compared to the linear autoregressive model.Originality/valueThe results show that a sharp fall in agricultural land prices temporarily changes the regular development of prices. This information significantly improves the accuracy of price predictions.

Population, Income, and Farmland Pricing in an Open Economy

Farmland valuation models usually incorporate local purchasing power as one of the pricing factors. A plausible rationale is that a larger population and higher income per capita imply increasing demand for agricultural products and farmland. In this paper, we study the relationship between the agricultural land prices, the regional population, and income per capita in an open economy setting in nominal and real variable terms using data from 1929 to 2018 at the state level. We show that in most areas of the United States, agricultural land prices are less affected by the state population or personal income. The valuation of agricultural land should not factor in the local purchasing power factors, with a few exceptions.

Agricultural Land Price Convergence: Evidence from Polish Provinces

This research deals with the problem of agricultural land market efficiency using the spatial market integration concept as well as the present value (PV) model. Empirically, it aims to test the convergence of agricultural land prices across Polish provinces. In order to check the law of one price (LOP), good-quality, medium-quality and bad-quality land sales markets are examined separately. Furthermore, this study is complemented by an analysis of the drivers behind agricultural land price convergence. The main method of testing price convergence is the log t regression. The latter was performed in two configurations, i.e., based on trend components of time series extracted using the Hodrick–Prescott filter and the Hamilton filter. Additionally, traditional β- and σ-convergence tests were applied. The obtained results indicated that agricultural land prices tend to converge in relative terms, which means that the provinces share a common long-run growth path. This finding and estimates of traditional convergence tests prove the increasing integration in the agricultural land market in Poland. There is no evidence, however, to support the conclusion that the absolute version of the long-run LOP holds. Moreover, using dynamic fixed effects models, it was identified that for good-, medium- and bad-quality land prices almost the same drivers of convergence apply. The only differences concern the strength of the influence of independent variables on prices of farmland of various types. Additionally, bad-quality land prices are the only ones which are affected by livestock density. Furthermore, estimates of the present value model finally confirmed that the agricultural land sales market in Poland cannot be considered as efficient.

Wyrównywanie się cen gruntów rolnych w krajach Unii Europejskiej

The paper deals with issues related to the development of agricultural land prices in the countries of the European Union. The hypothesis regarding absolute beta-convergence of agricultural land prices among 20 selected EU countries was verified. The research was carried out for the years 2006 - 2017 using absolute beta convergence models based on spatial data. Obtained test results confirm the occurrence of so-called the effect of catching up on the agricultural land market in the European Union. Thus, in countries where initially a lower level of agricultural land prices were found, there is a faster increase in prices than in countries with initially higher levels.

Konwergencja typu sigma cen gruntów rolnych w państwach Unii Europejskiej

The article raises the issue of dependence between agricultural land prices in the European Union countries. The aim of the article is to provide an answer to the following question: if the level of agricultural land price differentiation in the European Union is diminishing. The analysis covered prices of agricultural land in selected the EU countries in the period 2006 - 2016. The study was based on the occurrence of convergence in three dimensions: throughout the European Union, between the so-called old EU and between the so-called new EU countries. As a result of the conducted analyses, the phenomenon of sigma-convergence of agricultural land prices across the EU was confirmed. It was also found that in the so-called new EU countries and in so-called old EU countries there is no sigma convergence of agricultural land prices.

Explaining The Changes of Agriculture Land Prices In Lithuania

This article investigates the recent changes of agricultural land prices in Lithuania and quantitively assesses the most important factors affecting it. Land is one of the main scarce resources and it distinguishes itself among others by the inelasticity of price change to quantity, meaning that the changes in land prices are affected by demand and in very limited extend by supply. Taking this into account, it is important – from the practical as well as the theoretical points of view – to know these factors and, if needed, take regulatory measures. As the case of Lithuania suggests, the recent rapid growth of land prices is mainly driven by general economic performance (GDP), EU and national financial support provided to the Lithuanian agriculture sector and the regulation of agriculture food prices (the setting of purchase prices).

CONDITIONS OF AGRICULTURAL LAND PRICES DEVELOPMENT IN POLAND

The aim of the paper has been to diagnose factors determining agricultural landprices, classifying them and determining which of them plays the most importantrole. The considerations were based on selected subject literature, the results ofresearches conducted by other authors, as well as analysis of statistical data from theCentral Statistical Office of Poland and Eurostat. Factors determining agriculturalland prices in Poland can be divided into two groups: 2) Market: supply and demandfor agricultural land allotted to agricultural production; supply and demand foragricultural land that can be, in compliance with the binding law, allotted to purposesother than agricultural; simultaneous functioning of two market segments - private(on which a majority of land trading is conducted among farmers) as well as the statemarket segment – the Stock of Agricultural Property of the State Treasury managed,on behalf of the owner - the State Treasury, by the state institution - the AgriculturalProperty Agency; profitability of agricultural production. 2) Non-market: historicalconditions – dominance of private property in Polish agriculture, both in the marketeconomy and in the previous economic system; tradition, culture - passing farmsfrom generation to generation; Poland’s accession to the European Union andcovering Polish farmers with common agricultural policy instruments; ending thetransitional period of purchasing Polish agricultural properties by foreigners on 1May 2016. After this period, the hitherto limitations (special permits) for foreignersin purchasing agricultural properties in Poland were lifted.