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Registros recuperados: 38
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Determinants of Agricultural Cash Rents in Germany: A Spatial Econometric Analysis for Farm-Level Data AgEcon
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...
Tipo: Conference Paper or Presentation Palavras-chave: Farmland rental price; Per-hectare premium; Spatial econometrics; Subsidy incidence; Farm Management; Land Economics/Use; Political Economy.
Ano: 2009 URL: http://purl.umn.edu/51685
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Spatial Econometric Approaches to Estimating Hedonic Property Value Models AgEcon
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...
Tipo: Conference Paper or Presentation 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
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Residential Land Values in Urbanizing Areas AgEcon
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
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The Impact of Agriculture on Waterfowl Abundance: Evidence from Panel Data AgEcon
Wong, Linda; van Kooten, G. Cornelis; Clarke, Judith A..
Agricultural expansion and intensification in Canada’s Prairie Pothole Region (PPR) have contributed to declining waterfowl populations since the 1970s. Although this region represents a mere 10% of North America’s waterfowl breeding habitat, it produces over 50% of the continent’s duck population and roughly 60% of Canada’s agricultural output. Thus, intense competition exists between private economic interests and public benefits in the PPR. To better understand the conflict between agricultural and wildlife uses of land, panel methods are used to examine the spatiotemporal variation of waterfowl populations and agricultural land use intensity in the PPR from 1961-2006. For the main static model, we find that a one percent increase in cropland or pasture...
Tipo: Working or Discussion Paper Palavras-chave: Wetlands protection; Spatial econometrics; GIS; Land use conflict; Migratory waterfowl; Community/Rural/Urban Development; Environmental Economics and Policy; Q57; C33; Q15; Q24.
Ano: 2011 URL: http://purl.umn.edu/98422
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Stata in space: Econometric analysis of spatially explicit raster data AgEcon
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
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A SPATIAL ECONOMETRIC STAR MODEL WITH AN APPLICATION TO U.S. COUNTY ECONOMIC GROWTH, 1969–2003 AgEcon
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.
Tipo: Working or Discussion Paper 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
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Spatial Dependence of Regional Unemployment in the European Union AgEcon
Niebuhr, Annekatrin.
The findings of recent studies on adjustment processes suggest that regional labour markets in the EU and the US differ significantly. Low wage flexibility and limited labour mobility in European countries involve persistent unemployment differentials across regions. However, the spatial dimension of regional labour market problems is largely neglected in the corresponding analyses. In contrast, the present paper focuses on the spatial structure of regional unemployment disparities. Regions are tightly linked by migration, commuting and interregional trade. These types of spatial interaction are exposed to frictional effects of distance, possibly causing spatial dependence of regional labour market conditions. Spatial association of regional unemployment...
Tipo: Working or Discussion Paper Palavras-chave: Regional unemployment; Spatial interaction; Spatial econometrics; Europe; Labor and Human Capital; C21; E24; R12.
Ano: 2002 URL: http://purl.umn.edu/26147
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Determinants of agricultural cash rents in Germany: A spatial econometric analysis for farm-level data AgEcon
Breustedt, Gunnar; Habermann, Hendrik.
We empirically analyse the determinants of cash rent levels for agricultural land in Lower Saxony, Germany. We are the first to apply a spatial econometrics approach that accounts for two types of spatial dependence simultaneously to cash rent data at the farm-level. Our empirical results underline the usefulness of such an approach. Farm characteristics which serve as a proxy for the marginal value of rented acreage for the tenant as well as variables which represent local competition on the land market are significant. Among the farm characteristics, operating revenue per hectare, share of high-value crops, soil quality, share of rented acreage, share of arable land relative to rented acreage, and animal density are significant while, ceteris paribus,...
Tipo: Conference Paper or Presentation Palavras-chave: Cash rent; Farm-level data; Spatial econometrics; Land Economics/Use.
Ano: 2008 URL: http://purl.umn.edu/44462
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Does Sending Farmers Back to School Have An Impact? A Spatial Econometric Approach AgEcon
Yamazaki, Satoshi; Resosudarmo, Budy P..
Replaced with revised version of paper 02/08/07.
Tipo: Conference Paper or Presentation Palavras-chave: Agricultural economics; Spatial econometrics; Economic development; Labor and Human Capital; Q12; C59; O13.
Ano: 2006 URL: http://purl.umn.edu/25427
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Spatial Competition and Market Power in Banking AgEcon
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.
Tipo: Conference Paper or Presentation 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
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Growth and Technological Leadership in US Industries: A Spatial Econometric Analysis at the State Level, 1963–-1997 AgEcon
Pede, Valerien O.; Florax, Raymond J.G.M.; de Groot, Henri L.F..
For several decades, cross-country analyses have dominated the literature on economic growth. Recently, these analyses have been extended to include sectoral variation as well as spatial variation across sub-national regions. This paper investigates economic growth and potential determinants of the process of catch-up to technology leaders for several economic sectors, using data for the lower 48 US states from 1963 through 1997. We analyze the potential influence of factors such as human capital, and geographical distance to the technology leader. A spatially explicit growth model in which technological progress is endogenously determined is used to model productivity growth in nine US industries, ranging from mining to government, and including a...
Tipo: Conference Paper or Presentation Palavras-chave: Regional economic growth; Convergence; Industry level; Technological leadership; Spatial econometrics; Industrial Organization; C21; I23; O33; R12.
Ano: 2007 URL: http://purl.umn.edu/9691
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Spatial Dependence in Hedonic Property Models: Do Different Corrections For Spatial Dependence Result in Economically Significant Differences in Estimated Implicit Prices? AgEcon
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
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Applying Geographically Weighted Regression to Conjoint Analysis: Empirical Findings from Urban Park Amenities AgEcon
Tanaka, Katsuya; Yoshida, Kentaro; Kawase, Yasushi.
The objective of this study is to develop spatially-explicit choice model and investigate its validity and applicability in CA studies. This objective is achieved by applying locally-regressed geographically weighted regression (GWR) and GIS to survey data on hypothetical dogrun facilities (off-leash dog area) in urban recreational parks in Tokyo, Japan. Our results show that spatially-explicit conditional logit model developed in this study outperforms traditional model in terms of data fit and prediction accuracy. Our results also show that marginal willingness-to-pay for various attributes of dogrun facilities has significant spatial variation. Analytical procedure developed in this study can reveal spatially-varying individual preferences on attributes...
Tipo: Conference Paper or Presentation Palavras-chave: Choice experiments; Conjoint analysis; Dogrun; Geographically weighted regression; Spatial econometrics; Research Methods/ Statistical Methods; Resource /Energy Economics and Policy.
Ano: 2008 URL: http://purl.umn.edu/6233
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CLIMATE CHANGE AND AGRICULTURAL PRODUCTIVITY IN SUB-SAHARAN AFRICA: A SPATIAL SAMPLE SELECTION MODEL AgEcon
Ward, Patrick S.; Florax, Raymond J.G.M.; Flores-Lagunes, Alfonso.
Using data at a high spatial resolution, we estimate a cereal yield response function conditional upon climatological and topographical features using a recently developed estimator for spatial process models when sample selection is of concern. We control for localized spatial correlation in unobserved disturbances affecting both the selection to plant cereals as well as in the resulting conditional yield response. We find that cereal yields across Sub-Saharan Africa will decline with increasing temperatures resulting from global climate change, and that failing to control for sample selection leads to underestimation of these adverse effects.
Tipo: Working or Discussion Paper Palavras-chave: Agricultural productivity; Climate change; Spatial econometrics; Sample selection; Generalized method of moments; Land Economics/Use; Productivity Analysis; Research Methods/ Statistical Methods; C31; Q18; C50.
Ano: 2011 URL: http://purl.umn.edu/116182
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Benefits to Regional Pest Management: Estimating the Spatial Externalities of Conventional Pesticide Use On Beneficial Insects in the California Citrus Industry AgEcon
Grogan, Kelly A..
Replaced with revised version of paper 08/06/10.
Tipo: Conference Paper or Presentation Palavras-chave: Pesticide choice; Spatial externalities; Spatial econometrics; Agricultural and Food Policy; Crop Production/Industries; Production Economics; Research Methods/ Statistical Methods; Resource /Energy Economics and Policy.
Ano: 2010 URL: http://purl.umn.edu/61254
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Convergence and the Effects of Spatial Interaction AgEcon
Niebuhr, Annekatrin.
Since the beginning of the 1990s, the issue of income convergence has received considerable attention in economic research. Although a vast number of empirical studies has emerged, evidence on the role of spatial interaction is still rather scarce. The present paper is an attempt to provide additional information on the spatial aspect of convergence. Spatial econometric methods are used to investigate regional convergence in West Germany. The results indicate that spatial interaction is an important element of regional growth. However, considering spatial effects does not alter the general conclusion that regional income growth is characterised by a process of convergence.
Tipo: Working or Discussion Paper Palavras-chave: Regional convergence; Spatial interaction; Spatial econometrics; Community/Rural/Urban Development; C21; C52; O18; R11.
Ano: 2001 URL: http://purl.umn.edu/26351
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Industrial Coal Demand in China: A Provincial Analysis AgEcon
Cattaneo, Cristina; Manera, Matteo; Scarpa, Elisa.
In recent years, concerns regarding the environmental implications of the rising coal demand have induced considerable efforts to generate long-term forecasts of China’s energy requirements. Nevertheless, none of the previous empirical studies on energy demand for China has tackled the issue of modelling coal demand in China at provincial level. The aim of this paper is to fill this gap. In particular, we model and forecast the Chinese demand for coal using time series data disaggregated by provinces. Moreover, not only does our analysis account for heterogeneity among provinces, but also, given the nature of the data, it captures the presence of spatial autocorrelation among provinces using a spatial econometric model. A fixed effects spatial lag model...
Tipo: Working or Discussion Paper Palavras-chave: Energy demand; Coal demand; China; Spatial econometrics; Panel data; Forecasting; Resource /Energy Economics and Policy; C23; E6; Q31; Q41.
Ano: 2008 URL: http://purl.umn.edu/44425
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Constraints or Cooperation? Determinants of Secondary Forest Cover Under Shifting Cultivation AgEcon
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
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Spatial Analysis of Factors Affecting Finnish Farmland Prices AgEcon
Pyykkonen, Perttu.
The purpose of the study was to find out the factors affecting farmland prices in Finland. A hedonic pricing model that takes into account the presence of spatial dependence was applied for a very large sales price data (6 281 observations). The results confirmed the importance of land quality and the structural change as determinants of land price. In addition, off-farm job possibilities seemed to have a significant role in determining land prices. The effect of government payments on land prices was also clear, even though the support does not explain very much of the differences in land prices between regions.
Tipo: Conference Paper or Presentation Palavras-chave: Land prices; Hedonic pricing; Spatial econometrics; Land Economics/Use; Q11.
Ano: 2005 URL: http://purl.umn.edu/24541
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A TWO-STEP ESTIMATOR FOR A SPATIAL LAG MODEL OF COUNTS: THEORY, SMALL SAMPLE PERFORMANCE AND AN APPLICATION AgEcon
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...
Tipo: Working or Discussion Paper 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
Registros recuperados: 38
Primeira ... 12 ... Última
 

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