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.     

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.     

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.     

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.     

Impact of Agriculture on Rural Tourism: A Hedonic Pricing Approach

The increased awareness of farmers' role in the maintenance of rural landscapes may contribute to a reassessment of the place of agriculture in society. In this paper, we look at how this role, in relation to landscape, is valued by rural tourists or, in other words, whether it is a response to a societal demand, as is argued by defenders of multifunctional agriculture. The results from a hedonic pricing analysis indicate that landscape features associated with agricultural activities (such as meadows and grazing cattle) positively influence the demand for rural tourism and have a positive impact on the price tourists are willing to pay for rural accommodation. This is also illustrated by the adverse impact of perceived negative externalities from agricultural production (such as intensive maize cultivation) on this price.     

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.     

东北粮食主产区农村土地承包经营权规模化流转定价机制研究—— 以黑龙江省克山县为例

研究目的:通过建立农村土地承包经营权规模化流转定价机制,促进农村土地承包经营权流转市场完善,为合理确定农村土地承包经营权规模流转价格提供科学依据。研究方法:区间价格模型,Hurwicz准则,层次分析法,收益现值法。研究结果 :克山县农村土地承包经营权规模流转的价格区间为6380元/hm~2到9155元/hm~2;通过对比供需双方土地流转意愿的影响因素,计算得土地流转价格系数为0.498;在价格区间内引入Hurwicz准则,测算土地承包经营权规模流转价格是可行的。研究结论:以村集体经济组织为中介代理人、以维护流转双方利益为准则的土地承包经营权规模化流转定价机制不仅体现利润分享原则,也丰富了马克思地租地价理论的实践应用,符合赋予农民更多财产权利、拓宽农民财产性收入的政策改革方向。     

Changes in Implicit Prices of Prairie Pothole Habitat

I estimate changes in agricultural land value discounts due to prairie pothole habitat. The implicit prices of pothole habitat acreage are estimated from a series of hedonic models using Manitoba agricultural land transaction data from 1990 to 2009. I find that the discount on wetland acreage increased by at least 40%, suggesting that significant unanticipated increases in the benefits of converting wetlands emerged over the course of the study period. I also estimate a series of quantile regression hedonic models. The quantile regression models indicate that the land value discounts on prairie pothole acreage as a percent of per acre sales prices are constant across the land value distribution. These results have implications for the design of habitat conservation programs, particularly those involving long‐term agreements between landowners and conservation agencies.     

A robust house price index using sparse and frugal data

In this article, we describe a house price index algorithm which requires only sparse and frugal data, namely house location, date of sale and sale price, as input data. We aim to show that our algorithm is as effective for predicting price changes as more complex models which require detailed or extensive data. Although various methods are employed for determining house price indexes, such as hedonic regression, mix-adjusted median or repeat sales, there is no consensus on how to determine the robustness of an index, and hence no agreement on which method is the best to use. We formalise an objective criterion for what a house price index should achieve, namely consistency between time periods. Using this criterion, we investigate whether it is possible to achieve strong robustness using frugal data covering only 66 months of transactions on the Irish property market. We develop a simple multi-stage algorithm and show that it is more robust than the complex hedonic regression model currently employed by the Irish Central Statistics Office.     

Influence of purchaser perceptions and intentions on price for forest land parcels: A hedonic pricing approach

A hedonic model was developed to analyze the market for undeveloped forest land in Minnesota. Variables describing in situ conditions, locational characteristics, buyer perceptions and intentions, and transactional terms were tested for their influence on sale price. The independent variables explained 67% of the per hectare sale price variation. Water frontage, road access and density, absentee ownership, future intentions, and financing arrangements had large, positive influences on price. Lack of a real-estate agent and agricultural land in the vicinity of the parcel had negative influences. A parcel's merchantable timber volume was not a significant predictor of price.     

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.     

Management flexibility,price uncertainty and the adoption of carbon forestry

A price on carbon has the potential to drive significant land use change through reforestation. Understanding the likely locations and extent of these changes is therefore a key focus for researchers and policy makers. Models of reforestation based on net present values (NPV) typically compare the economic returns of carbon forestry to alternative land uses. However, these models often neglect the impact of uncertainty. Two sources of uncertainty highly relevant to carbon forestry are the opportunity cost of the land on which the trees are established (i.e. future returns from alternative land uses) and carbon prices. In addition to foregoing the current land use, a landowner making a permanent land use change such as carbon forestry is also giving up the opportunity to change management in the future, for example by changing crop mix in response to commodity price changes. We develop a Monte Carlo model to demonstrate the value of management flexibility, based on a case study property in Australia. While in the absence of management flexibility carbon forestry is more profitable than the current land use, under uncertain future commodity prices it is less attractive to a landowner. We go on to show that, even if the returns from carbon exceed those from more flexible agricultural land use, uncertainty over future carbon prices is likely to delay the adoption of carbon forestry. Overall the models presented in this paper demonstrate that the adoption of carbon forestry is likely to be substantially lower, and slower, than models based on static values would suggest.     

农户视角下湖北省耕地集约利用影响因素分析

研究目的：基于农户视角分析耕地资源集约利用的影响因素及其作用机理,探讨促进耕地集约利用的途径与措施,为提高中国耕地资源配置和利用效率提供新的研究视角。研究方法：双对数函数模型分析法。研究结果：农民户均劳动力人数、农民人均纯收入和农业比较收入对耕地集约利用具有明显的正向驱动作用;农业生产资料价格指数对耕地集约利用具有较明显的负向影响;而耕地的产权保障和农业补贴政策对耕地集约利用的影响不显著。研究结论：耕地利用集约度实质上是农户不同耕种行为的表现结果,提高耕地利用集约度的关键是采取相应的政策措施激励农户的耕种行为;增加农户农业收入、控制农业生产资料价格,稳定或适度降低农业生产成本等是促进农户集约利用耕地资源的重要经济手段;深化农地产权制度改革和调整完善农业补贴政策是提高耕地利用集约度的重要制度基础。     

Planning policy,housing density and consumer preferences

Due to a combination of government planning policies and market pressures in England in the period 2000–2008, there was an increase in the construction of flats and high-density developments and a decline in the construction of houses. In this paper, an analysis of the effects of these policy constraints is undertaken. Using hedonic pricing models, we test for a non-linear relationship between house prices and residential density in England. Consumers prefer houses over flats and detached properties over semi-detached and terraced (i.e. lower density suburban areas). However, both low-density, detached-dominant areas and high-density, flat-dominant areas attracted a premium over medium density areas and the relative size of these price differences vary between different housing market areas. In cities outside London, we consistently see a convex relationship between price and density, whereas a concave relationship between price and density is consistently observed in London. This suggests a different form of relationship between density and house prices in large urban conurbation areas, compared to more typical provincial cities. The conclusions we draw are that in the correct context, high density may be viewed positively but a single planning policy is not appropriate and it should be tailored to suit local market needs.     

农地非农配置价格扭曲与可持续发展

偏低的农地非农配置价格是农地过度损失的重要原因,从农地非农配置产生的社会、经济和生态纯收益出发,从理论角度探讨了农地非农配置的合理价格,进而分析转型期我国农地价格扭曲现状及原因,认为消除扭曲的最优方法是体制改革,对我国而言,减少政府干预,建立和完善农地非农配置市场是当务之急。     

农村集体经营性建设用地价格影响因素的实证分析*——基于江西省余江县179份交易案例

[目的]确定农村集体商服用地、工业用地价格的影响因素,为科学评估农村集体经营性建设用地地价、构建城乡统一建设用地市场提供参考。[方法]利用全国农村土地使用制度改革试点之一的江西省余江县179个交易案例,运用特征价格模型分析农村集体商服用地、工业用地价格的影响因素及各类因素的贡献率。[结果](1)农村集体商服用地价格的主要影响因素依次为乡镇财政收入、人均纯收入、到客运站距离、到国道的距离、教育设施;农村集体工业用地价格的主要影响因素依次为人均纯收入、人均农村居民点面积、到客运站的距离、到国道的距离。(2)社会经济因素、区位交通因素和公共设施因素对集体商服用地价格的贡献度分别为69. 0%、20. 4%和10. 6%;社会经济因素和区位交通因素对集体工业用地价格的贡献度分别为52. 8%和47. 2%。[结论]总体上与国有城镇建设用地价格存在共性规律,但存在部分因素与国有建设用地价格规律存在差异,农村集体经营性建设用地估价不宜完全套用城镇建设用地的思路。     

Testing Household-Specific Explanations for the Inverse Productivity Relationship

The inverse relationship between land productivity and farm size is an old and puzzling empirical regularity. Most explanations for this relationship rely on market imperfections that jointly determine the farm size and the household's shadow price of some productive inputs. We use plot-level data from the ICRISAT/VLS to assess whether these household-specific theories can explain the puzzle. The data exhibit plots of different sizes being simultaneously cropped by the same household. The inverse relationship is shown to hold true with the same magnitude across the plots of each household, thus cross-household heterogeneity does not suffice to explain the puzzle.     

Plot size and maize productivity in Zambia: is there an inverse relationship?

This article examines the relationship between maize productivity and plot size in Zambia. It offers a unique empirical approach. First, it focuses on maize, which is the major crop on small and medium size farms in Zambia, but also accounts for the endogenous determination of the size of the plot devoted to maize. Previous studies have used total farm size or harvested area. Second, it corrects for selectivity in maize cultivation. Third, it controls for differences in land quality and weather conditions across districts. Finally, it offers a structural interpretation of the above framework by modeling farm decisions as a sequential, two‐stage process, in which land is first allocated to the different crops based on the information set of the farmers at the time of planting, and the yield is affected by subsequent application of inputs, the quantities of which may depend on additional information that is revealed after planting. We use this recursive structure and the differences in the information sets over time to identify the model. The results show that the endogeneity of plot size is very important in this analysis. When considering plot size as an exogenous explanatory variable, we find a monotonic positive relationship between the yield of maize and plot size, indicating that economies of scale are dominant throughout the plot size distribution. However, when we correct for the endogeneity of plot size, we find that the inverse relationship dominates the economies of scale in all plots up to 3 ha, which constitute 86% of our sample. These results suggest that market imperfections should be targeted by any policy aimed at increasing maize productivity in Zambia.     

Policies for sustainable development in the hillside areas of Honduras: a quantitative livelihoods approach

In this article, we use data for 376 households, 1,066 parcels, and 2,143 plots located in 95 villages in the hillside areas in Honduras to generate information needed by decision makers to assess the needs and opportunities for public investments, and design policies that stimulate natural resource conservation. We develop a quantitative livelihood approach, using factor and cluster analysis to group households based on the use of their main assets. This resulted in seven household categories that pursue similar livelihood strategies. We use a multinomial logit model to show that livelihood strategies are determined by comparative advantages as reflected by a combination of biophysical and socioeconomic variables. While 92% of the rural hillsides population in Honduras lives on US$1.00/capita/day or less, households that follow a livelihood strategy based on basic grain farming are the poorest because they often live in isolated areas with relatively poor agro‐ecological and socioeconomic conditions. Opportunities for off‐farm work tend to be limited in these areas and household strategies that combine on‐farm work with off‐farm work earn higher incomes. Per capita incomes can be increased by improving road infrastructure, widening access to land, policies that reduce household size and dependency ratios, and adoption of sustainable land management technologies that restore soil fertility. We used probit models to show that the latter can be promoted by agricultural extension programs and land redistribution. Investments in physical assets should be directed toward households that pursue livelihood strategies based on off‐farm employment or coffee production, while agricultural training programs are best focused on livestock producers.     

农地资源价格研究

论述了农地资源价格特征和构成。农地资源作为土地资产的一种，其价格具有外溢性、市场失灵性、影响因素复杂性等特征。农地价格和其他土地一样具有二元性，即包括农地物质虚幻价格和农地资本次生虚幻价格。从农地产生效益的角度看，农地价格包括农地社会效益价格、农地生态效益价格和农地经济效益价格。作为农地所有者（或使用者）真正把握住县可让渡的价格仅是农地真实的价格中的极少的一部分。