Hedonic land price models often use parcel size as an explanatory variable. Empirical analyses, however, are rather ambiguous regarding the direction and the size of the effect of this variable on farmland values. The objective of this paper is to investigate this size-price relation in detail...

This paper provides review about challenges and opportunities to assess and quantify market power in agricultural land markets. Measuring land market power is challenging because the characteristics of this production factor hinder the direct application of familiar concepts from commodity...

This paper investigates price differentials between organically and conventionally farmed arable land. Organic commodities offer higher prices and environmental benefits such as improved soil constitution, where land buyers gauge these benefits against lower yields at higher risk, switching and...

This article investigates the role played by informational cost in agricultural land markets to explain price dispersion. Based on a hedonic model under incomplete information, we build a two-tier stochastic frontier. By linking costs of being information deficient to agent characteristics such...

In this paper, we test for the existence of a common component in agricultural land auctions in eastern Germany during the price boom 2007-2018 and discuss respective policy implications. Using a large, detailed dataset of auctions, we can rely on professional appraisals of the auctioned good...

Understanding agricultural land systems is paramount to preparing for future transitions under climate change. A first step in moving towards a systematic, multi-context comparison of agricultural land systems is an assessment of data availability and commensurability. We compare publicly...

Many business people such as farmers and financial investors are affected by indirect losses caused by scarce or abundant rainfall. Because of the high potential of insuring rainfall risk, the Chicago Mercantile Exchange (CME) began trading rainfall derivatives in 2011. Compared to temperature...

Forecasting temperature in time and space is an important precondition for both the design of weather derivatives and the assessment of the hedging effectiveness of index based weather insur-ance. In this article, we show how this task can be accomplished by means of Kriging techniques....

To meet the increasing global demand for renewable energy such as wind energy, more and more new wind parks are installed worldwide. Finding a suitable location, however, requires a detailed and often costly analysis of the local wind conditions. Plain average wind speed maps cannot provide a...

This article examines the efficiency of wind energy production. We quantify production losses in four wind parks across Germany for 19 wind turbines with non-convex efficiency analysis. In a second stage regression, we adapt the linear regression results of Kneip, Simar, Wilson (2014) to explain...