The Impacts of the Tax-Deferred Exchange Provision on Farm Real Estate Values

Dillard, John G.; Kuethe, Todd; Dobbins, Craig L.; Boehlje, Michael; Florax, Raymond J.G.M.

doi:10.3368/le.89.3.479

Cited by 14 publications

(9 citation statements)

References 29 publications

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“…In the sum of these opposite effects, however, their total effects are not significant. This result contrasts with those presented by Wang (2018), Feichtinger & Salhofer (2016 and Dillard et al (2013), where both the direct and indirect effects of different government subsidies have positive impacts on the price of agricultural land.…”

Section: Discussioncontrasting

confidence: 98%

“…In addition to the usual determinants of land price, spatial econometrics have been used to analyse various phenomena related to the agricultural land market, e.g., how ecosystem services, rural amenities and historical and cultural landmarks are used, valued and capitalized in markets (Ma & Swinton, 2011;Polyakov et al, 2015;Sardaro et al, 2020), to verify the role of real estate speculation and the conversion of land for urban use (Plantinga et al, 2002;Geniaux et al, 2011;Cavailhès & Thomas, 2013;Zhang & Nickerson, 2015) and to analyse the effects of environmental policies (Letort & Temesgen, 2014;Myrna et al, 2019), agricultural subsidies (Karlsson & Nilsson, 2014;Feichtinger & Salhofer, 2016) and tax exemptions on land prices (Dillard et al, 2013). Studies have also evaluated how different databases are able to capture the influences of different determinants (Lynch & Lovell, 2003;Ma & Swinton, 2012).…”

Section: Theoretical Parameters: the Spatial Dimension Of Land Pricesmentioning

confidence: 99%

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Spatial effects are determinants of agricultural land prices in Brazil

Marques

Telles

2023

Rev. Econ. Sociol. Rural

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This study aims to determine whether spatial effects are determinants of agricultural land prices in Brazil. For this purpose, data on the value of the bare land in municipalities in Brazil for 2020, provided by the Federal Revenue Service, were used. Although this database has national coverage, the contiguous data necessary for the application of spatial econometric models allowed us to cover the central-south region of the country. An exploratory spatial data analysis was performed, and the spatial Durbin econometric model was applied. Based on our results, there is a strong spatial dependence on land price, manifested both in the dependent variable, spatially lagged, and through the spillover effects of the independent variables. In addition, it was found that the degree of urbanization of a municipality, the municipal gross domestic product per capita, the average size of properties, the agricultural productivity, and the area dedicated to soybean planting in a rural property are also important determining factors in the pricing of agricultural land. Accordingly, it is possible to conclude that spatial effects influence the determination of agricultural land prices in Brazil.

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Section: Discussioncontrasting

confidence: 98%

Section: Theoretical Parameters: the Spatial Dimension Of Land Pricesmentioning

confidence: 99%

Spatial effects are determinants of agricultural land prices in Brazil

Marques

Telles

2023

Rev. Econ. Sociol. Rural

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“…For the farmland sale market, several studies have already identified the existence of spatial effects. Hence, in recent years spatial process models have been favored for analyses of farmland price determinants, and substantial improvements of model fit are shown (Dillard et al, 2013; Feichtinger and Salhofer, 2016; Huang et al, 2006; Hüttel et al, 2013). For a spatially fixed asset like farmland, there are several reasons why spatial dependence can exist 4 .…”

Section: Methodsmentioning

confidence: 99%

Quantile Regression of German Standard Farmland Values: Do the Impacts of Determinants Vary Across the Conditional Distribution?

Lehn

Bahrs

2018

J. Agric. Appl. Econ.

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Because of considerably increased farmland prices, not only in Germany, the question arises whether farmland is still affordable for farmers. Hence, there is a call for price caps. If farmland prices are to be capped by political intervention, identifying the main farmland price determinants especially for the highest prices is essential. Using quantile regression for German standard farmland values, we find heterogeneous relationships across the estimated quantiles for several covariates. Nonagricultural factors are often more pronounced at the upper tail of the conditional distribution. We recommend focusing primarily on factors in the upper quantiles to prevent further farmland price increases.

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“…Real estate researches have been developed using GIS tools. Ibeas et al (2012) verified the existence of the relationship between the accessibility conditions and the dwelling real estate market through GIS analysis; Dillard et al (2013) used GIS to examine the effects of the property taxes and levies on real estate values in order to incorporate in the analysis locational variables, including surrounding land cover, proximity of urban areas, population density, transportation access, and so forth.…”

Section: Figure 1: Cycle Of Transport and Land Usementioning

confidence: 99%

Transportation System and Land Price: An Investigation About Its Relationship Based on Spatial Analysis

Barbosa¹,

Quintanilha²,

Machado³

et al. 2013

13ª Conferência Internacional Da LARES

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Lack of urban accessibility and mobility are transportation systems problems caused, mainly, by the saturation of the road system capacity. This is materialized in terms of congestions, pollution and traffic accidents, threatening the life quality and competitiveness of urban areas, as well as have negatively affected sustainable development. The costs arising from such imperfection of the transportation system (externalities) affect, among other economic sectors, the real estate market. One of the reasons is the absence of planning support tools. In order to fill this gap, this paper aims to investigate geoprocessing tools to land useland price analysis, through transportation database. The article discusses how the concentration of origins and destinations of urban trips shape land use and influence land price. The study area São Paulo City, a megacity with more than 11 million inhabitants, and the database consists of a thematic map of land use generated through remote sensing satellite imagery classification, data from an Origin / Destination Home-interview Survey held in 2007 by the São Paulo Metropolitan Company (METRÔ-public company responsible for operating the subway trains), São Paulo city highway network, and georeferenced data about the official value of land and edification provided by the Municipality of São Paulo (2010). It is performed a spatial analysis by using originsdestinations data, and is identified the areas with the high number of urban trips, the accessibility and mobility are assessed, and is compared with the land price that the municipality uses in order to calculate fees and taxes. Besides, the socioeconomic aspects of the traffic zones such as number of jobs, number of households, information about the population (average family income, education, gender, age, etc.), amount of school enrollment, and so on, are taken into account in order to characterize the sites regarding to real estate market.

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The Impacts of the Tax-Deferred Exchange Provision on Farm Real Estate Values

Cited by 14 publications

References 29 publications

Spatial effects are determinants of agricultural land prices in Brazil

Spatial effects are determinants of agricultural land prices in Brazil

Quantile Regression of German Standard Farmland Values: Do the Impacts of Determinants Vary Across the Conditional Distribution?

Transportation System and Land Price: An Investigation About Its Relationship Based on Spatial Analysis

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