The effects of potential land development on agricultural land prices

Plantinga, Andrew J.; Lubowski, Ruben N.; Stavins, Robert N.

doi:10.1016/s0094-1190(02)00503-x

Cited by 218 publications

(142 citation statements)

References 27 publications

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“…This increase may generate increased income for landowners through sale or lease or through enhanced access to credit markets, where land acts as collateral. Some evidence from the US indicates that the expected (urban) development rents are a relatively large component of the agricultural land values in US counties that are near or that contain urban areas (Plantinga et al 2002). The consumption linkage channel of urbanization described above can also be expected to increase land rental prices as a result of a rise in the expected future stream of income from agriculture.…”

Section: <>Remittancesmentioning

confidence: 99%

Does Urbanization Affect Rural Poverty? Evidence from Indian Districts

Calì¹,

Menon²

2012

The World Bank Economic Review

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Section: <>Remittancesmentioning

confidence: 99%

Does Urbanization Affect Rural Poverty? Evidence from Indian Districts

Calì¹,

Menon²

2012

The World Bank Economic Review

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“…Determining the value of agricultural land is, in itself, a rather complex field of analysis [35,36]. It has been studied for a long time by various authors, and it is still the subject of investigation and analysis [37,38].…”

Section: Introductionmentioning

confidence: 99%

Landscape Changes in Rural Areas: A Focus on Sardinian Territory

Balestrieri

Ganciu

2018

Sustainability

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During the past decades the Italian rural landscape has undergone drastic alterations as a result of complex and contradictory transformation dynamics. This paper aims to investigate and evaluate these alterations in Sardinia, one of the most rural Italian regions. Land-use maps from different years were studied to identify the dominant rural landscape features of the region and the transformations they were subjected to over the course of time. The analysis investigates changes on three geographical scales: region, provinces, and "agrarian regions". An overall economic balance of landscape changes was calculated from the value ascribed to types of land use on the basis of the allowances (compensation for expropriation) provided by the local authorities (Provincial Commissions). This economic balance was considered in light of the regional policies which accompanied it. Results partially confirm the national and European general trend of loss of agricultural land when it is converted to new forms of exploitation. The analysis at different geographical scales has, in some cases, revealed data against the general trend, especially for some agricultural regions and for certain agricultural products. There is consistent with economic balance. This shows the need of a deep ex post evaluation of the effects of policies financed by regional and national community funds on the evolution of Sardinian landscapes.

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“…The hedonic model of estimating the prices of real estate has been regarded as the best among various approaches for its accuracy [1]. The research of Rosen (1974) using the hedonic model has had much impact on approaches to measuring the value of land, apartments, and offices [2][3][4].…”

Section: Introductionmentioning

confidence: 99%

A Study on Estimation of Land Value Using Spatial Statistics: Focusing on Real Transaction Land Prices in Korea

Kim¹,

Kim

2016

Sustainability

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Abstract:The aim of this research is to compare OLS (Ordinary Least Squares) and spatial regression models which are methods of calculating the traditional value of land-using data on the practical transaction price of land-and to enhance the applicability of estimation of official land assessment prices set by the Korean government while deducing policy implications for effective implementation. That is, as a way to overcome the limitations of the traditional regression model, we compare various Generalized Regression Models such as SLM (Spatial Lag Model), SEM (Spatial Error Model) with OLS. Consequently, an in-depth diagnosis is conducted to generate a proper estimation model for land pricing, and, also, the analysis focuses on vertical and horizontal equity using COD (Coefficient of Dispersion), COV (Coefficient of Variation) and PRD (Price-Related Differential). The results indicate that SEM is more appropriate than AIC (Akaike info criterion) and SC (Schwarz criterion) in terms of measuring log-likelihood, demonstrating that the spatial autocorrelation model is superior to the traditional regression model. It shows that the SEM is also the best among the tested models with regard to measuring horizontal equity. The spatial econometric model, therefore, is strongly recommended for estimating the prices of land and houses.

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The effects of potential land development on agricultural land prices

Abstract: The authors thank Elena Irwin for providing spatial data used in the analysis and Munisamy Gopinath for helpful input on econometric issues.

Cited by 218 publications

References 27 publications

Does Urbanization Affect Rural Poverty? Evidence from Indian Districts

Does Urbanization Affect Rural Poverty? Evidence from Indian Districts

Landscape Changes in Rural Areas: A Focus on Sardinian Territory

A Study on Estimation of Land Value Using Spatial Statistics: Focusing on Real Transaction Land Prices in Korea

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