Does the estimated impact of wildfires vary with the housing price distribution? A quantile regression approach

Hedonic property models are commonly applied in the environmental economics literature to estimate values of environmental amenities or hazards. Most hedonic property models are estimated using linear regression techniques where the coefficient on the environmental variable of interest is the “marginal implicit price.” Linear regression estimates one coefficient for the entire distribution of the dependent variable, and thus in hedonic property models a single marginal implicit price. In contrast, quantile regression estimates a range of marginal impacts for different quantiles of the distribution for the dependent variable, consequently providing a significantly more “complete picture” of the true impact of the explanatory variable (Koeneker and Hallock, 2001). We contribute to the existing hedonic property literature by estimating the impact of repeated wildfires on house prices in Southern California using quantile regression. We find that the impact of a wildfire differs significantly across the distribution of house prices, with estimated coefficients varying as much as 73% from the 25th quantile relative to the 75th quantile. We also find that OLS results under-estimate impacts relative to the median quantile, yet over-estimate impacts for lower quantiles. Our results indicate that a quantile regression approach can provide policymakers and researchers more information about the marginal implicit price in hedonic models as it relates to the distribution of the dependent variable.     

Noncash Income Transfers and Agricultural Land Values

Several studies have considered the impact of government cash income transfers to agricultural producers on agricultural land prices. This study examines the effects of a noncash income transfer on agricultural land prices. The impact of the U.S. sugar program on irrigated land prices in Montana is evaluated using a hedonic regression model. The model considers the impacts of sugar beet price and land characteristics on land prices. The results indicate that noncash income transfers generated by the U.S. sugar program have been capitalized into cropland prices.     

How do institutional market players matter in farmland pricing?

In this paper we analyse how institutional sellers within the privatisation process shape price formation in agricultural land markets by taking the German reunification as an example. These institutions sell the formerly state owned land within first-price sealed bid auctions, publish calls and obtained prices, and are hypothesised to exploit their market power. Based on the conceptual framework of hedonic pricing models, we use a spatio-temporal modelling approach to empirically quantify these impacts. We thereby control for land productivity characteristics, potential buyers and whether farmers purchase the land. We find that privatisation agencies sell at significantly higher prices, while one agency sells at lower prices to farmers.     

Cropland expansion and grassland loss in the eastern Dakotas: New insights from a farm-level survey

The western Corn Belt region of the United States has become a hotspot for agricultural extensification and consequent land use and land cover changes. The goals of this research were to characterize geographic patterns of grassland loss resulting from cropland expansion in the eastern Dakotas, and to understand how these changes were associated with characteristics of individual farms and farm operators. We collected data on grassland conversion and other land use decisions through a mail survey of farm operators in North and South Dakota. Overall, 40% of respondents converted at least some grassland to cropland between 2004 and 2014, and the total acreage of converted grassland was equivalent to 5.1% of the surveyed farm acreage. Although most converted grassland acres (3.2% of farm acreage) were from land enrolled in the conservation reserve program (CRP), there were also substantial amounts of native grassland conversion (1.0%) and tame grassland conversion (0.9%). The total acreage of grassland conversion was more than four times larger than the acreage enrolled in CRP and other conservation programs. Different types of grassland conversion (e.g., native grassland versus CRP) were concentrated in different parts of the study region, and were spatially disjunct from the areas of highest conservation program enrollment. Larger farms were more likely than smaller farms to expand their cropland acreage and accounted for a disproportionate share of grassland conversion. Younger farm operators, higher levels of farm income, higher proportions of rented croplands, and marginal yields were also associated with cropland expansion and grassland conversion. Although CRP and other land retirement programs will remain important policy mechanisms for conservation in this region, they are not sufficient to maintain current levels of grassland cover and do not provide protection for native grasslands. Alternative conservation strategies and new agricultural policies are thus critically needed to maintain the ecosystem services provided by grasslands.     

A Quantile Regression Analysis of the Effect of Farmers’ Attitudes and Perceptions on Market Participation

The objective of this study is to investigate the subjective determinants of farmers’ participation in output markets in five EU New Member States (NMS) characterised by large semi‐subsistence sectors. It employs quantile regression to model market participation reflecting the heterogeneity amongst farmers. The study also uses the Bayesian adaptive lasso to simultaneously select important covariates and estimate the corresponding quantile regression models. The empirical results show that only two variables affect all quantiles, while their effect varies across quantiles. Some of the remaining variables affect the share of output sold at the lower quantiles (i.e. for subsistence‐ and semi‐subsistence‐oriented farmers) only, whereas other variables are only significant at the upper quantiles (i.e. for more commercially oriented farms). Advisory services, and particularly agricultural business advice, and information and advice on markets and prices can facilitate the market participation of subsistence‐oriented farms.     

Evidence of climate change impacts on crop comparative advantage and land use

Relative agricultural productivity shocks emerging from climate change will alter regional cropland use. Land allocations are sensitive to crop profits that in turn depend on yield effects induced by changes in climate and technology. We develop and apply an integrated framework to assess the impact of climate change on agricultural productivity and land use for the U.S. Northern Great Plains. Crop-specific yield–weather models reveal crop comparative advantage due to differential yield impacts of weather across the region's major crops, that is, alfalfa, wheat, soybeans, and maize. We define crop profits as a function of the weather-driven yields, which are then used to model land use allocation decisions. This ultimately allows us to simulate the impact of climate change under the RCP4.5 emissions scenario on land allocated to the region's major crops as well as to grass/pasture. Upon removing the trends effects in yields, climate change is projected to lower yields by 33–64% over 2031–2055 relative to 1981–2005, with soybean being the least and alfalfa the most affected crops. Yield projections applied to the land use model at present-day input costs and output prices reveals that Dakotas’ grass acreage will increase by up to 23%, displacing croplands. Wheat acreage is expected to increase by up to 54% in select southeastern counties of North Dakota and South Dakota, where maize/soy acreage had increased by up to 58% during 1995–2016.     

CANADIAN WHEAT ACREAGE RESPONSE*

In spite of the criticisms which have been levied against statistical estimation of supply response, it is used in this study to determine the factors causing yearly fluctuations in Canadian wheat acreage. The estimates are derived from 1947–1966 time series data. In formulating price expectations, both the traditional and distributed lag models are used.
It was found that wheat acreage response is not a random process. From a statistical standpoint, wheat and flax prices, wheat stocks on farms, and export sales did affect farmers' wheat acreage decisions. Among the elasticities computed, those for wheat prices were the largest but generally less than one. Barley prices, rainfall prior to seeding, and cattle prices were also considered but did not appear to have a serious influence on wheat acreage.     

Evaluating the benefits from transport infrastructure in agriculture: a hedonic analysis of farmland prices

Access to transport infrastructure generates a range of benefits to the agriculture sector; many of which are difficult to measure directly. In this study, we use hedonic regression analysis of farm‐level data to examine the contribution of transport infrastructure to the value of farmland traded between 2009 and 2011 through its impact on farm productivity. We show that a one per cent reduction in the cost of transportation between farms and ports leads to a 0.33 per cent increase in land prices, and there is no significant difference between rail and road transportation at the aggregate level. Moreover, the benefits generated by particular types of infrastructure services vary between industries and with farm size, suggesting there are multiple channels through which public infrastructure influences agricultural production. Our findings help to inform future investment decisions in Australia and in other countries by providing new evidence regarding the benefits of existing transport infrastructure.     

Inter‐ and intra‐seasonal crop acreage response to international food prices and implications of volatility

Understanding how producers make decisions to allot acreage among crops and how decisions about land use are affected by changes in prices and their volatility is fundamental for predicting the supply of staple crops and, hence, assessing the global food supply situation. This study makes estimations of monthly (i.e., seasonal) versus annual global acreage response models for the world's principal staple food crops: wheat, corn, soybeans, and rice. Primary emphasis is given to the magnitude and speed of the allocation process. Estimation of intra‐annual acreage elasticity is crucial for expected food supply and for input demand, especially in the light of the recent short‐term volatility in food prices. The econometric results indicate that global crop acreage responds to crop prices and price risks, input costs as well as a time trend. Depending on respective crop, short‐run elasticities are about 0.05 to 0.40; price volatility tends to reduce acreage for some of the crops; comparison of the annual and the monthly acreage response elasticities suggests that acreage adjusts seasonally around the globe to new information and expectations. Given the seasonality of agriculture, time is of an essence for acreage response. The analysis indicates that acreage allocation is more sensitive to prices in the northern hemisphere spring than in winter and the response varies across months.     

Prices paid for farmland in Ontario: Does buyer type matter?

In the wake of the substantial increases in farmland values that have occurred in Ontario since 2008, concerns have been expressed regarding the potential influence of nonfarmer buyers, such as investment companies and foreign buyers, on prices paid for farmland. To examine whether these concerns may be warranted, this paper estimates the impact of nonfarmer buyers on sale prices for farmland in Ontario, using a hedonic approach and farmland sales data from 2002 to 2016. Analysis is also conducted to determine whether marginal implicit prices of specific farm attributes differ between farmer buyers and nonfarmer buyers. The results indicate that nonfarmer buyers have paid higher prices for farmland, but only in near‐urban areas. In addition, differences in marginal implicit prices for farmland attributes are found, where farmer buyers value more highly attributes related to the agricultural productivity of the property while nonfarmer buyers value more highly attributes related to nonagricultural use. These results imply that the higher prices paid by nonfarmers may be attributable to the bid‐rent theory, as nonfarmers may be bidding more than farmers for farmland in near‐urban areas due to higher expected returns from future urban use of the land.     

Property price effects of a national wildlife refuge: Great Meadows National Wildlife Refuge in Massachusetts

The amenity value of proximity to a National Wildlife Refuge (NWR) in central Middlesex County, Massachusetts is estimated and compared to the values of proximity to five other open space types, including agricultural land, cemeteries, conservation land, golf courses, and sport/recreation parks. A hedonic model is used to explore the relationships among residential property values and proximity to these distinct types of open space. Open space characteristics in the empirical model include measures of continuous distance from each property to the nearest open space of each type and an index describing the diversity of open space types within neighborhoods of 100 and 1000 meters around a home. Results reveal that a property located 100 meters closer to the NWR than a neighboring property has a price premium of $984. Further, proximity to the NWR is valued more than proximity to agricultural land, cemeteries, and conservation land. No significant differences are found among the values of proximity to the NWR, golf courses, and sport/recreation parks.     

Valuing quality attributes of Australian merino wool

We measure the relationship between clean prices of individual lots of wool sold at auction and a range of characteristics of the raw wool. Based on the data for 111,440 fleece lots sold in the 2008–2009 auction season, five hedonic models are estimated to determine the premiums and discounts associated with each wool characteristic in five micron categories. Several wool characteristics exhibited significant nonlinear relationships, and therefore, joint density functions were assessed where appropriate. The results indicate that fibre diameter has the greatest influence on price in all markets. Brand contamination, higher levels of unscourable colour and vegetable matter contamination were found to negatively influence price.     

Spatial Effects within the Agricultural Land Market in Northern Ireland

The importance of dealing properly with spatial effects, such as spatial autocorrelation, in cross‐sectional econometric estimation has become more widely recognised in recent years. Spatial autocorrelation is similar in many ways to serial correlation, but while the latter is ordered on a one‐dimensional time axis, the former is ordered in two dimensions. The multi‐directional nature of spatial dependence means that specialised techniques are needed for diagnostic testing and estimation purposes. This paper uses these specialised diagnostics to test for spatial effects within a hedonic pricing study of the agricultural land market. The tests indicate that spatial autocorrelation (in the form of spatial lag dependence) and spatially distinct sub‐markets (or spatial heterogeneity) are present. Ignoring these effects in the estimation process is likely to lead to biased parameter estimates. Consequently, we re‐specify the hedonic model to allow for these spatial effects. The presence of spatial lag dependence suggests that there is circularity of price setting within the agricultural land market. This means that agricultural land prices are not solely determined by the inherent characteristics of the land, but tend to reflect also the average local price per acre.     

Habitat and Open Space at Risk of Land-Use Conversion: Targeting Strategies for Land Conservation

Funds available to purchase land and easements for conservation purposes are limited. This article provides a targeting strategy for protecting multiple environmental benefits that includes heterogeneity in land costs and probability of land-use conversion, by incorporating spatially explicit land-use change and hedonic price models. This strategy is compared to two alternative strategies that omit either land cost or conversion threat. Based on dynamic programming and Monte Carlo simulations with alternating periods of conservation and development, we demonstrate that the positive correlation between land costs and probability of land-use conversion affects targeting efficiency using parcel data from Sonoma County, California.     

Informal government preferences and asymmetric land allocation in China

Whether governments have informal preferences toward firms when allocating land resources and the effects of such preferences on regional development remain unclear, particularly in countries with weak formal institutions. This paper investigates the government’s informal preferences in land allocations in China. Substantial evidence is found that politically connected firms are preferred to win land auctions at lower prices due to two different reasons. These preferences are informally achieved through a two-stage auction mechanism rather than formal bid preference programs, and result in the asymmetrical allocation of urban land in terms of land quality, quantity, and price, across politically and non-politically connected firms in China. The state-owned enterprises are allocated poor quality land parcels at 55% land price discounts. In comparison, the manager-based politically connected firms are allocated regular land parcels at 6% price discounts, and other firms without connections with the government are allocated regular land at higher prices.     

Spatial dependence in agricultural land prices: does it exist?

Trade-offs arise between spatial dependence and choice of functional form in agricultural land price hedonic models. We discuss these trade-offs and how they can create spurious spatial dependence. Using a land sales dataset with apparent spatial dependence, we implement a semiparametric approach avoiding potential problems with the functional form. The results show that in addition to being nonlinear, the impacts are also characterized by significance thresholds that are difficult to capture in a parametric model. More importantly, we fail to detect any spatial dependence demonstrating that inappropriate functional form can indeed be responsible for finding spatial dependence in hedonic models.     

The Effect of Agricultural Zoning on Rural Residential Property Values: An Application to Ontario's Greenbelt

Although previous studies on property value effects of land use policies have focused primarily on agricultural properties and on residential properties in close proximity to preserved areas, this paper examines for the effect on rural residential property values within the preserved area. This effect is examined in the context of Ontario's Greenbelt legislation, which prohibits urban development of rural land within a large area around the Greater Toronto Area (GTA). This preserved area includes not only agricultural properties but also a substantial amount of rural residential properties due to proximity to the GTA. With the amenity value that rural residential properties derive from the surrounding rural landscape, the imposed development restrictions that permanently preserve this open space are anticipated to increase the values of these properties. This expectation is confirmed by the results of a hedonic approach, which indicate a positive effect on the values of rural residential properties within the Greenbelt's boundary. This effect is found to be greater for properties with more surrounding open space and those that are relatively closer to the GTA. These results also provide an estimate of the property value impact of converting all surrounding developable open space to permanently preserved open space.     

Revisiting the relationship between land price and parcel size in agriculture

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 for agricultural land use in detail and to derive recommendations for an appropriate specification of hedonic land price models. Our analysis consists of three steps. First, we conduct a meta-analysis based on a comprehensive literature review. Second, we analyze a dataset of more than 80,000 agricultural land transactions in Saxony-Anhalt, Germany, using the nonparametric locally weighted scatterplot smoothing (LOWESS) estimator. This unconditional smoothing algorithm identifies negative size–price relations for very small and large plots, whereas it finds a positive relation for medium plots. We use this finding in our third step, a hedonic land price model, in which the size–price relation is modeled conditional on land and buyer characteristics. From these steps, we conclude that the complex relationship between land price and plot size cannot be captured by a simple functional form since it is affected by several economic factors, such as economies of size, transaction costs, and financial constraints.     

The incidence of agricultural policy on the land market in Poland: Two-dimensional and multilevel analysis

Research has shown that the reform of the CAP which broke the link between subsidies and production (the decoupling reform) has had little effect on farmers’ demand for land under the SPS (Single Payment Scheme) system. For this reason, in the conditions of the SPS, there is petrifaction of the structure of agricultural land, and an upward trend in prices on the market for agricultural land should not be expected to continue in the long term. Under the conditions of the SAPS (Single Area Payment Scheme), which applies in the EU-12 new Member States, the position in the market for agricultural land is different. However, most research carried out in Europe relates to the SPS system, where marginal changes in the value of land are identified as a result of the incidence of agricultural policy, as well as quantitative and qualitative attributes of particular properties. Under SAPS, these issues have not been sufficiently investigated. The authors have attempted to fill that gap, constructing a two-dimensional and multilevel econometric model for land prices in a leading agricultural region of Poland based on a sample of 653 transactions in the years 2010–2013. The aim is to determine how policy, as well as various quantitative and qualitative features, including location factors, affect the prices of land under SAPS. The results indicate, among other things, the key importance of the functional type of rural areas – properties in agrotouristic areas gained 43% higher prices on average than those in agricultural areas. Another finding of interest is that LFA and agro-environmental payments decapitalise the value of land.     

Modelling socially optimal land allocations for sugar cane growing in North Queensland: a linked mathematical programming and choice modelling study

A modelling framework is developed to determine the joint economic and environmental net benefits of alternative land allocation strategies. Estimates of community preferences for preservation of natural land, derived from a choice modelling study, are used as input to a model of agricultural production in an optimisation framework. The trade-offs between agricultural production and environmental protection are analysed using the sugar industry of the Herbert River district of north Queensland as an example. Spatially-differentiated resource attributes and the opportunity costs of natural land determine the optimal trade-offs between production and conservation for a range of sugar prices.