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Registros recuperados: 38
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A spatial analysis of participation in RDP measures: a case study in Emilia Romagna Region AgEcon
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
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A Spatial Econometric Analysis of Compliance with an International Environmental Agreement on an Open Access Resource AgEcon
Borsky, Stefan; Raschky, Paul A..
This paper provides an empirical analysis of the role of intergovernmental relations on a country's effort to enforce the objectives of an international environmental agreement on an open access resource. Intergovernmental interaction allows signatory countries to observe compliance behavior of other signees and to punish non-compliance by applying bi- and multilateral sanctions. We use a cross-sectional dataset that contains country level information about compliance with Article 7 of the 1995 UN Code of Conduct for Responsible Fisheries. Our identification strategy combines a spatial autoregressive model with spatial autoregressive disturbances and an instrumental variable approach. We find a strong positive effect of other countries' compliance on the...
Tipo: Presentation Palavras-chave: International environmental agreements; Open access resources; Spatial econometrics; Environmental Economics and Policy; C21; F53; Q22.
Ano: 2012 URL: http://purl.umn.edu/124425
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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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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
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Agglomeration, Spatial Interaction and Convergence in the EU AgEcon
Brauninger, Michael; Niebuhr, Annekatrin.
We investigate the convergence process among EU regions between 1980-2002 taking into account the effects of spatial heterogeneity and spatial spillover effects. The spatial regimes model allows for different steady-state growth paths. In contrast to previous analyses, the regimes in this paper refer to spatial categories, i.e. we assume that agglomerations, urbanised and rural regions are characterised by group-specific steadystates. Moreover, the regression analysis considers the effects of interaction among neighbouring regions, possibly leading to a spatial dependence of regional growth rates. We check whether spatial dependence is caused by spatial spillovers or based on country effects.
Tipo: Working or Discussion Paper Palavras-chave: Convergence; Agglomeration; European Union; Spatial econometrics; Quantile regression; International Development; C21; O52; R11.
Ano: 2005 URL: http://purl.umn.edu/26150
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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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Bayesian Model Averaging in the Context of Spatial Hedonic Pricing: An Application to Farmland Values AgEcon
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.
Tipo: Working or Discussion Paper 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
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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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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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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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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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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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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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Existe convergência espacial da produtividade agrícola no Brasil? AgEcon
Almeida, Eduardo Simões de; Perobelli, Fernando Salgueiro; Ferreira, Pedro Guilherme Costa.
This work analyzes the convergence of land productivity for Brazilian regions from 1991 to 2003. It evaluates if there is or not convergence of the agricultural productivity, controlling explicitly for spatial effects. To do so, an exploratory spatial data analysis was previously implemented and the presence of spatial autocorrelation for the land productivity was detected. In addition, spatial econometric models were developed for the convergence analysis.
Tipo: Journal Article Palavras-chave: Convergence; Land productivity; Spatial econometrics; Spatial autocorrelation.; Agribusiness; R12; C31; Q10..
Ano: 2008 URL: http://purl.umn.edu/61267
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EXPLAINING THE CLIMATE-DEPENDENT DISTRIBUTION OF CROPS IN SPACE –THE EXAMPLE OF CORN AND CORN-COB-MIX IN BADEN-WÜRTTEMBERG AgEcon
Lippert, Christian; Chatzopoulos, Thomas; Schmidtner, Eva; Aurbacher, Joachim.
This article analyses the current climate-dependent spatial distribution of corn and corn-cob-mix in Baden-Württemberg using 2007 data at the county and community level. We use OLS and spatial econometric models to estimate the effects of different climate and non-climate variables on the share of grain maize in UAA. Whereas the temperature effect is missed by means of OLS regression, the adequate spatial error model at the county level yields a highly significant positive effect of mean annual temperature. Additionally, it displays a temperature cut-off point after which corn share is less likely to rise due to temperature increase. These effects are supported by a non-spatial multinomial logit model at the community level. The latter further indicates...
Tipo: Conference Paper or Presentation Palavras-chave: Spatial distribution of corn; Spatial econometrics; Multinomial logit; Climate change; Agribusiness; Crop Production/Industries.
Ano: 2011 URL: http://purl.umn.edu/114504
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Externalities Imposed on Residential Properties in Highly Urbanized Areas AgEcon
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...
Tipo: Conference Paper or Presentation Palavras-chave: Hedonic pricing; Spatial econometrics; Externalities; Land Economics/Use.
Ano: 2008 URL: http://purl.umn.edu/43950
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Farmland Allocation along the Rural-Urban Gradient: The Impacts of Urbanization and Urban Sprawl AgEcon
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...
Tipo: Conference Paper or Presentation 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
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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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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
Registros recuperados: 38
Primeira ... 12 ... Última
 

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