SABIIA - Sistema Aberto e Integrado de Informação em Agricultura (Sabiia)

Bayesian Model Averaging in the Context of Spatial Hedonic Pricing: An Application to Farmland Values

Mueller, Daniel.

Realizing the importance of location, economists are increasingly adopting spatial analytical and spatial econometric perspectives to study questions such as the geographical targeting of policy interventions, regional agglomeration effects, the diffusion of technologies across space, or causes and consequences of land-cover change. Explicitly accounting for location in econometric estimations can be of great benefit for researchers working at the interface of economics or environmental sciences and geography. The objective of this article is to demonstrate how spatially explicit raster data derived from standard geographical information system (GIS) software can be used within Stata. Three programs implemented as ado-files are presented. These import...

Tipo: Journal Article

Palavras-chave: Ras2dta; Spatsam; Dta2ras; Geographical information systems (GIS); Raster data; Spatial modeling; Spatial econometrics; Research Methods/ Statistical Methods.

Ano: 2005

URL: http://purl.umn.edu/117514

Cotteleer, Geerte; Stobbe, Tracy; van Kooten, G. Cornelis.

Since 1973, British Columbia created an Agricultural Land Reserve to protect farmland from development. In this study, we employ GIS-based hedonic pricing models of farmland values to examine factors that affect farmland prices. We take spatial lag and error dependence into explicit account. However, the use of spatial econometric techniques in hedonic pricing models is problematic because there is uncertainty with respect to the choice of the explanatory variables and the spatial weighting matrix. Bayesian model averaging techniques in combination with Markov Chain Monte Carlo Model Composition are used to allow for both types of model uncertainty.

Spatial Competition and Market Power in Banking

Palavras-chave: Bayesian model averaging; Markov Chain Monte Carlo Model Composition; Spatial econometrics; Hedonic pricing; GIS; Urban-rural fringe; Farmland fragmentation; Environmental Economics and Policy; Farm Management; Land Economics/Use; R11; R15; C50; R14.

Ano: 2007

URL: http://purl.umn.edu/37046

Richards, Timothy J.; Acharya, Ram N.; Kagan, Albert.

Banks in non-metropolitan areas compete in a spatially-differentiated environment. Particularly with the advent of electronic banking services, however, there is some question as to how much market power is conferred by spatial separation from rivals. This paper estimates a structural model of the supply and demand of banking services in which pricing power is allowed to depend explicitly on the distance between rival banks. A spatial autoregressive econometric model shows that approximately 38.0% of economic surplus earned by firms in non-metropolitan banking in the upper midwest is due to spatial market power.

Residential Land Values in Urbanizing Areas

Palavras-chave: Banking; Market power; Non-metropolitan markets; Spatial econometrics; Community/Rural/Urban Development; Financial Economics; C21; D43; G21; L13.

Ano: 2007

URL: http://purl.umn.edu/6566

Kaltsas, Ioannis K.; Bosch, Darrell J.; McGuirk, Anya M..

Zoning decisions related to residential lot size and density affect residential land value. Effects of size on residential parcel value in Roanoke County, VA, are estimated with fixed effects hedonic models. Parcel size; elevation; soil permeability; proximity to urban areas, malls, and roads; and location influence parcel value, but the effects vary by value of construction and development status. Parcel value per square meter declines with increasing parcel size. The estimated relationships could be used to evaluate zoning decisions in terms of land values and tax revenues if model estimation uncertainties and responses by developers to zoning strategies are considered.

Tipo: Journal Article

Palavras-chave: Development; Fixed effects; Hedonic model; Property values; Residential density; Spatial econometrics; Agribusiness; Land Economics/Use; Q24; C25; C52.

Ano: 2008

URL: http://purl.umn.edu/47204

Using Spatial Analysis to Study the Values of Variable Rate Technology and Information

Bullock, David S.; Lowenberg-DeBoer, James.

We present a review of the last few years' literature on the economic feasibility of variable rate technology in agriculture. Much of the research on this topic has involved the estimation of site-specific yield response functions. Data used for such estimations most often inherently lend themselves to spatial analysis. We discuss the different types of spatial analyses that may be appropriate in estimating various types yield response functions. Then, we present a taxonomy for the discussion of the economics of precision agriculture technology and information. We argue that precision agriculture technology and information must be studied together since they are by nature economic complements. We contend that longer-term, multi-location agronomic...

Externalities Imposed on Residential Properties in Highly Urbanized Areas

Palavras-chave: Precision agriculture; Spatial econometrics; Variable rate technology; Research and Development/Tech Change/Emerging Technologies; C31; O33; Q16.

Ano: 2006

URL: http://purl.umn.edu/25393

Cotteleer, Geerte; Peerlings, Jack H.M..

In highly industrialized areas open spaces such as farmland and nature are under pressure since urban areas are expanding at their expense. Because of the high opportunity costs of development in urban areas, a high price has to be paid for the maintenance or creation of open space. The question is if this high price can be justified by the value of the open space. We estimate the value residents attach to surrounding open space in a hedonic pricing model. More specifically, we investigate in a highly urbanized area in the Netherlands how the externalities of farmland, nature, and other uses, such as industrial areas and the sea affect residential property prices. Moreover, spatial lag and error dependence are corrected for in the hedonic pricing model...

Does Sending Farmers Back to School Have An Impact? A Spatial Econometric Approach

Palavras-chave: Hedonic pricing; Spatial econometrics; Externalities; Land Economics/Use.

Ano: 2008

URL: http://purl.umn.edu/43950

Yamazaki, Satoshi; Resosudarmo, Budy P..

Replaced with revised version of paper 02/08/07.

Spatial Econometric Approaches to Estimating Hedonic Property Value Models

Palavras-chave: Agricultural economics; Spatial econometrics; Economic development; Labor and Human Capital; Q12; C59; O13.

Ano: 2006

URL: http://purl.umn.edu/25427

Wang, Li; Ready, Richard C..

The inclusion of spatial correlation of house price in hedonic pricing model may produce better marginal implicit price estimate(s) of the environmental variable(s) of interest. Most applications where a spatial econometric model is applied to the estimation of a hedonic property value model have used either a spatial lag model or a spatial autoregressive (SAR) error model. Incorrect spatial specification may produce even worse estimate outcome than OLS. Three issues regarding the specification of a spatial hedonic pricing model are considered. First, we question the "convention" of row-standardizing the spatial weights matrix. Second, we argue that the spatial error component (SEC) model is more theoretically intuitive and appealing for modeling house...

A TWO-STEP ESTIMATOR FOR A SPATIAL LAG MODEL OF COUNTS: THEORY, SMALL SAMPLE PERFORMANCE AND AN APPLICATION

Palavras-chave: Row-standardization; Spatial econometrics; SEC model; SAR error model; Spatial lag model; Hedonic pricing; Landfill; House price; Public Economics.

Ano: 2005

URL: http://purl.umn.edu/19174

Lambert, Dayton M.; Brown, Jason P.; Florax, Raymond J.G.M..

Several spatial econometric approaches are available to model spatially correlated disturbances in count models, but there are at present no structurally consistent count models incorporating spatial lag autocorrelation. A two-step, limited information maximum likelihood estimator is proposed to fill this gap. The estimator is developed assuming a Poisson distribution, but can be extended to other count distributions. The small sample properties of the estimator are evaluated with Monte Carlo experiments. Simulation results suggest that the spatial lag count estimator achieves gains in terms of bias over the aspatial version as spatial lag autocorrelation and sample size increase. An empirical example deals with the location choice of single-unit start-up...

Constraints or Cooperation? Determinants of Secondary Forest Cover Under Shifting Cultivation

Palavras-chave: Count model; Location choice; Manufacturing; Poisson; Spatial econometrics; Community/Rural/Urban Development; Land Economics/Use; Research and Development/Tech Change/Emerging Technologies; C21; C25; D21; R12; R30.

Ano: 2010

URL: http://purl.umn.edu/59780

Spatial Dependence in Hedonic Property Models: Do Different Corrections For Spatial Dependence Result in Economically Significant Differences in Estimated Implicit Prices?

Klemick, Heather.

This study examines the drivers of land use in a shifting cultivation system with forest fallow. Forest fallow provides on-farm soil quality benefits, local hydrological regulation, and global public goods. An optimal control model demonstrates that farmers have an incentive to fallow less than is socially optimal, though market failures limiting crop production can have a countervailing effect by encouraging fallow. An econometric model estimated using data from the Brazilian Amazon suggests that fallowing does not result from internalization of local fallow services but instead is associated with poor market access and labor and liquidity constraints.

Tipo: Article

Palavras-chave: Forest; Farms; Fallow; Ecosystem services; Land use; Spatial econometrics; Brazil; Credit; International Development; Land Economics/Use.

Ano: 2011

URL: http://purl.umn.edu/120270

Mueller, Julie M.; Loomis, John B..

While data used in hedonic property models are inherently spatial in nature, to date the majority of past regression analyses have used OLS models that overlook possible spatial dependence in the data when estimating implicit prices for environmental hazards. This paper explicitly addresses spatial dependence in a hedonic property model. We use robust testing procedures to determine the existence and type of spatial dependence in our OLS model. After identifying the nature of the spatial dependence, OLS estimates of the implicit price of wildfire risk are compared to implicit prices obtained using a spatial error model with three different spatial weighting matrices. Spatially corrected estimates of implicit prices are often found to be nearly the same as...

Tipo: Journal Article

Palavras-chave: Forest fires; Hedonic property models; Spatial econometrics; Resource /Energy Economics and Policy.

Ano: 2008

URL: http://purl.umn.edu/42459

Land Cover in a Managed Forest Ecosystem: Mexican Shade Coffee

Blackman, Allen; Albers, Heidi J.; Sartorio, Beatriz Avalos; Crooks, Lisa.

Managed forest ecosystems-agroforestry systems in which crops such as coffee and bananas are planted side-by-side with woody perennials-are being touted as a means of safeguarding forests along with the ecological services they provide. Yet we know little about the determinants of land cover in such systems, information needed to design effective forest conservation policies. This paper presents a first-ever spatial regression analysis of land cover in a managed forest ecosystem-a shade coffee region of coastal Mexico. Using high-resolution land cover data derived from aerial photographs, along with data on the institutional, geophysical, socioeconomic, and agronomic characteristics of the study area, we find that plots in close proximity to urban centers...

Regional Income Inequality and Economic Growth: A Spatial Econometrics Analysis for Provinces in the Philippines

Palavras-chave: Deforestation; Managed forest ecosystem; Agroforestry; Shade-grown coffee; Mexico; Spatial econometrics; Land cover; Resource /Energy Economics and Policy; O13; Q15; Q23.

Ano: 2003

URL: http://purl.umn.edu/10493

Pede, Valerien O.; Sparks, Adam H.; McKinley, Justin D..

This paper revisits the inequality-growth relationship using data at the sub-national (provincial) level in the Philippines over the period 1991- 2000. A conditional convergence growth model is considered where the growth of per capita income depends on inequality and other growth factors. The contribution of each province to the overall inequality obtained from the Theil index is considered. Results indicate that inequality has a positive and significant effect on per capita income growth. However, the magnitude of the inequality effect is not stable across regions. Geographically Weighted Regression estimates show that the magnitude of the inequality growth relationship varies over a range of 0.72 to 3.36. Other results are also noteworthy in this study....

Tipo: Presentation

Palavras-chave: Clusters; Growth; Inequality; Spatial econometrics; Community/Rural/Urban Development; Research Methods/ Statistical Methods; R11; R12; O15; C21.

Ano: 2012

URL: http://purl.umn.edu/124402

A SPATIAL ECONOMETRIC STAR MODEL WITH AN APPLICATION TO U.S. COUNTY ECONOMIC GROWTH, 1969–2003

Pede, Valerien O.; Florax, Raymond J.G.M.; Holt, Matthew T..

Spatial regression models incorporating non-stationarity in the regression coefficients are popular. We propose a spatial variant of the Smooth Transition AutoRegressive (STAR) model that is more parsimonious than commonly used approaches and endogenously determines the extent of spatial parameter variation. Uncomplicated estimation and inference procedures are demonstrated using a neoclassical convergence model for United States counties.

A spatial analysis of participation in RDP measures: a case study in Emilia Romagna Region

Palavras-chave: Spatial autoregression; Smooth transition; Spatial econometrics; STAR; GWR; Community/Rural/Urban Development; Labor and Human Capital; Political Economy; Research Methods/ Statistical Methods; C21; C51; R11; R12.

Ano: 2009

URL: http://purl.umn.edu/48117

Bartolini, Fabio; Raggi, Meri; Viaggi, Davide.

A large body of literature has highlighted and analysed the issues which affect the quality and the reliability of evaluation results of the RDPs measure. In addition to weaknesses in the specification of objectives, measurement of the additionality, several authors have pointed-out a lack in evaluation of the cross-effects across space of the measure. The objective of this contribution is to develop a spatial analysis of the participation rate in the measure 121, highlighting, as a determinant, the effect of the set of priorities established by the local administration. The analysis is realised by two steps: the first is the realisation of an Exploratory Spatial Description Analysis (ESDA) of the participation rate in the Emilia Romagna Municipalities and...

Tipo: Presentation

Palavras-chave: Rural development measure; Farm modernisation; Spatial econometrics; Participation; Community/Rural/Urban Development; Q18 - Agricultural Policy; Food Policy; Q10 - General.

Ano: 2012

URL: http://purl.umn.edu/124103

Farmland Allocation along the Rural-Urban Gradient: The Impacts of Urbanization and Urban Sprawl

Delbecq, Benoit A.; Florax, Raymond J.G.M..

In the vicinity of a city, farmers are confronted with increasing agricultural land prices and rents along the rural-urban gradient, but they concurrently enjoy the advantages associated with proximity to a larger and wealthier consumer base. We hypothesize that farmers transition from low-value, land-intensive \traditional" crops to high-value, labor-intensive \specialized" crops on parcels located closer to urban centers. Once returns to development of a parcel exceed the profits associated with farming, exurban farmers may sell their land for conversion to urban use. Urban pressure in the rural-urban fringe intensifies as cities expand. We differentiate between a gradual process of urban growth (or urbanization) and urban sprawl. Utilizing farmland...

Spatial Approaches to Panel Data in Agricultural Economics: A Climate Change Application

Palavras-chave: Land use; Urban sprawl; Agriculture; Specialized crops; Spatial econometrics; Community/Rural/Urban Development; Land Economics/Use; C31; O13; Q15; R14.

Ano: 2010

URL: http://purl.umn.edu/61723

Baylis, Katherine R.; Paulson, Nicholas D.; Piras, Gianfranco.

Panel data are used in almost all subfields of the agricultural economics profession. Furthermore, many research areas have an important spatial dimension. This article discusses some of the recent contributions made in the evolving theoretical and empirical literature on spatial econometric methods for panel data. We then illustrate some of these tools within a climate change application using a hedonic model of farmland values and panel data. Estimates for the model are provided across a range of nonspatial and spatial estimators, including spatial error and spatial lag models with fixed and random effects extensions. Given the importance of location and extensive use of panel data in many subfields of agricultural economics, these recently developed...

Tipo: Journal Article

Palavras-chave: Climate change; Panel data; Spatial econometrics; Environmental Economics and Policy; Resource /Energy Economics and Policy; C33; Q10; Q54.

Ano: 2011

URL: http://purl.umn.edu/113518

Determinants of Agricultural Cash Rents in Germany: A Spatial Econometric Analysis for Farm-Level Data

Breustedt, Gunnar; Habermann, Hendrik.

This article analyses determinants for 2001 farmland rental prices from 4376 farms in Germany. We derive our regression equation from a spatial reaction function to allow for spatial transmission of rental prices. Results from a general spatial model show that a € 1 per hectare higher rental price in a farmer’s neighbourhood coincides with a € 0.57 higher rental price he has to pay. For policy evaluation we estimate the marginal incidence of regional EU per-hectare premiums. We find a value significantly above one and propose an explanation for this counterintuitive result based on the long-running nature of rental contracts, simultaneity of premium introduction and intervention price cuts as well as assumed stickiness of rental prices. Regional livestock...