2020
DOI: 10.7160/aol.2020.120408
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Land Pricing Model: Price Re-evaluation Due to the Erosion and Climate Change Effects

Abstract: The aim of this study is to derive and apply the hedonic approach for determining and updating official land prices with respect to e.g. the impact of climate change that has occurred in the conditions of the Czech Republic in recent years. Pricing using the hedonic method is based on capturing individual factors separately. The evaluated soil ecological unit code consists of a 5-digit numerical code, which expresses the affiliation to the climate region (0-9, see table 1), the main soil unit (0-78), the slope… Show more

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Cited by 5 publications
(4 citation statements)
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“…In this case, the R 2 was 0.95. The complete model for the Czech Republic is detailed in the publication Slaboch and Čechura (2020).…”
Section: Resultsmentioning
confidence: 99%
“…In this case, the R 2 was 0.95. The complete model for the Czech Republic is detailed in the publication Slaboch and Čechura (2020).…”
Section: Resultsmentioning
confidence: 99%
“…For some areas, it may represent an opportunity. This may be reflected in land values and generally influence the land market [45][46][47]. Acknowledging the intricate interplay among various factors and the specific context of empirical research, the results call for a broader framework to assist policymakers, stakeholders, and researchers in formulating strategies that address the complex forces impacting farm expansion and land investments.…”
Section: Discussionmentioning
confidence: 97%
“…The fourth digit indicates a combination of slope and exposure (0-9), and the fifth digit (0-9) stands for a combination of soil profile depth and skeletality (for more details see Table 1). To determine the shadow prices of input variables, the original methodology from a publication by [33] was used and slightly modified, where a heteroscedastic corrected linear regression model was used for the estimate, similarly to other European studies; see, for example, [34]. The concept and estimation of the model met the standard specification and stochastic assumptions, i.e., the estimation of the model (while respecting the heteroscedastic correction) can be considered fully verified.…”
Section: Methodsmentioning
confidence: 99%
“…The exact specifications of the individual input variables are set forth in Table 1. Compared with the methodology mentioned in the article by [33], there was a better specification for the SDR combined code, where, for practical purposes, worsening variables in terms of exposure were defined within the scope of climate regions 0-5 and 6-9. In climate regions 0-5, southern exposure was regarded as worsening, while in contrast, for climate regions 6-9, northern exposure was regarded as worsening.…”
Section: Methodsmentioning
confidence: 99%