Search results for "Spatial interaction"

showing 9 items of 9 documents

Interactions, spillovers de connaissance et croissance des économies modernes. Faut-il préférer la globalisation ou la proximité géographique ?

2009

Globalisation and metropolisation in modern economies induce some locational strategies of knowledge based activities towards cities and deeply increase trade and move of ideas across cities. In that context, we study the way knowledge spillovers have influenced the economic growth of 82 European Metropolises over the 1990-2005 period. We model knowledge spillovers across cities according to three specific interaction patterns depending either on geography or on global advanced services or thought a combination of these patterns. We show that the mixed pattern matters the best for economic growth of cities in Europe.

modern economiesJEL: C - Mathematical and Quantitative Methods/C.C2 - Single Equation Models • Single Variables/C.C2.C21 - Cross-Sectional Models • Spatial Models • Treatment Effect Models • Quantile RegressionsO4JEL : C - Mathematical and Quantitative Methods/C.C2 - Single Equation Models • Single Variables/C.C2.C21 - Cross-Sectional Models • Spatial Models • Treatment Effect Models • Quantile Regressionsurban climate C31JEL : R - Urban Rural Regional Real Estate and Transportation Economics/R.R1 - General Regional Economics/R.R1.R12 - Size and Spatial Distributions of Regional Economic Activityclimat des affaires[ SHS.ECO ] Humanities and Social Sciences/Economies and financesJEL: O - Economic Development Innovation Technological Change and Growth/O.O4 - Economic Growth and Aggregate Productivity[SHS.ECO] Humanities and Social Sciences/Economics and Financecroissance urbainejel:C31JEL: R - Urban Rural Regional Real Estate and Transportation Economics/R.R1 - General Regional Economics/R.R1.R11 - Regional Economic Activity: Growth Development Environmental Issues and Changes[SHS.ECO]Humanities and Social Sciences/Economics and FinanceJEL : R - Urban Rural Regional Real Estate and Transportation Economics/R.R1 - General Regional Economics/R.R1.R11 - Regional Economic Activity: Growth Development Environmental Issues and ChangesR11R12jel:O4metropolisesmétropolesJEL: R - Urban Rural Regional Real Estate and Transportation Economics/R.R1 - General Regional Economics/R.R1.R12 - Size and Spatial Distributions of Regional Economic Activityurban growthspatial interactionsinteractions spatialesjel:R12jel:R11économies modernesmodern economiesurban growthmetropolisesspatial interactionsurban climate C31O4R11R12croissance urbainemétropolesinteractions spatialesclimat des affaireséconomies modernesJEL : O - Economic Development Innovation Technological Change and Growth/O.O4 - Economic Growth and Aggregate Productivity
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Spatial Allocation of European Structural Funds: What Is the Role of Strategic Interactions?

2020

This chapter explores the role of strategic interactions that affect the spatial allocation of structural funds in the European Union. More specifically, this chapter seeks to test if the interactions between government decisions are strategic substitutes or complements in the context of the European structural funds allocation. First, we present a theoretical model which depicts how the strategic interactions could affect the allocation of public grants in a bargaining process. Then, we test the direction of strategic interaction on the allocation of structural funds for the 2000–2006 programming period using spatial econometric techniques. We find a negative spatial interaction between Eu…

GovernmentStrategic complementsSpatial interaction05 social sciencesContext (language use)[SHS.ECO]Humanities and Social Sciences/Economics and Finance0506 political scienceBargaining process0502 economics and businessStrategic interaction050602 political science & public administrationmedia_common.cataloged_instanceBusiness050207 economicsEuropean unionIndustrial organizationSpatial allocationmedia_common
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SHOOTING DOWN THE PRICE: EVIDENCE FROM MAFIA HOMICIDES AND HOUSING MARKET VOLATILITY

2019

In this work, we assess the role of a specific type of organized crime in influencing choices on where living within the city territory, and consequently, volatility in house prices. More specifically, we test how organized crime killing may influence house pricing behaviors. Firstly, we show evidences about how organized crime is associated with higher inequality of housing prices for Italian cities in 2011. Then, by collecting and geo referencing data on the city of Naples for the period 2002-2016, we test for the direct influence of homicides on the relevant territory, as on the neighboring districts. Results show a negative and significant impact of killing on the house prices either fo…

organized crime spatial interactions panel data estimationsSettore SECS-P/01 - Economia Politica
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Spatial Interaction between Neighbouring Counties: Cancer Mortality Data in Valencia (Spain)

1995

The statistical analysis of geographical mortality data has usually been approached via regression models that include appropriate covariates. These models assume stochastic independence of mortality counts for neighbouring sites, a questionable assumption that spatial automodels (Besag, 1974, Journal of the Royal Statistical Society, Series B 36, 192-236) make unnecessary. This paper presents the use of the autopoisson distribution in order to detect spatial interaction between neighbouring sites. If this interaction results in being nonsignificant, the auto-Poisson distribution reduces to a usual Poisson regression model, a particular case of generalized linear models (McCullagh and Nelde…

MaleStatistics and ProbabilityGeneralized linear modelGLIMPoisson distributionGeneral Biochemistry Genetics and Molecular Biologysymbols.namesakeStomach NeoplasmsNeoplasmsStatisticsCovariateHumansPoisson DistributionPoisson regressionFertilizersDemographyCancer mortalityModels StatisticalNitratesGeneral Immunology and MicrobiologyApplied MathematicsSpatial interactionProstatic NeoplasmsRegression analysisGeneral MedicineGeographyUrinary Bladder NeoplasmsSpainColonic NeoplasmssymbolsRegression AnalysisGeneral Agricultural and Biological SciencesDemographyBiometrics
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Disease dispersion as a spatial interaction: The case of Flavescence Dorée

2020

International audience; Flavescence dorée is a serious and incurable vine disease transmitted by an insect vector. Focusing on its spatial diffusion and on its control with pesticides, this paper investigates the private strategies of wine producers and their socially optimal counterparts. The socially optimal regulation has to address two externalities regarding private treatment decisions: (a) the insufficient consideration of collective benefits from controlling the vector populations; (b) the failure to take into account environmental damage related to pesticide application. The probability of infection is estimated on French data from a spatial econometric specification. Three alternat…

cost‐benefit analysisMandatory treatmentJEL: Q - Agricultural and Natural Resource Economics • Environmental and Ecological Economics/Q.Q1 - Agriculture/Q.Q1.Q12 - Micro Analysis of Farm Firms Farm Households and Farm Input MarketsCompulsory treatmentEnvironmental Science (miscellaneous)environmental externalityAnalyse cout-benefice0502 economics and businessEconometricsStatistical dispersion050207 economicsExternalité environnementaleMathematicsGestion des nuisibles2. Zero hungercompulsory treatmentJEL: H - Public Economics/H.H2 - Taxation Subsidies and Revenue/H.H2.H21 - Efficiency • Optimal Taxation[QFIN]Quantitative Finance [q-fin]Spatial interactioncost-benefit analysis05 social sciencesTraitement obliatoire[SHS.ECO]Humanities and Social Sciences/Economics and Financespatial spilloverspest management13. Climate actionModeling and SimulationFlavescence doréeJEL: Q - Agricultural and Natural Resource Economics • Environmental and Ecological Economics/Q.Q5 - Environmental Economics/Q.Q5.Q51 - Valuation of Environmental Effects050202 agricultural economics & policy
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Multivariate analysis of defensive phase in football: Identification of successful behavior patterns of 2014 Brazil FIFA World Cup

2021

The aim of this study was to identify variables associated with direct recovery of the ball during defensive transitions in elite soccer and to propose a model with certain guarantees of success based on a multivariate analysis in which binary logistic regression was used to explore interaction between variables. 1,722 defensive transitions were analysed in the final stages of the FIFA World Cup 2014 in Brazil and investigated the following variables: duration of defensive transition; possession loss zone; position of players at the start and end of the defensive transitions, defensive organization, general defensive approach, period of the match, position of defence line, zone in which the…

Multivariate analysisMetodología observacionalelite footballLogistic regressionPhysical Therapy Sports Therapy and RehabilitationFootballmatch analysisLogistic regressionFútbol de eliteMetodoloxía observacionalObservational methodologyAnálise de partidoFútbol de éliteStatisticsSoccerAnálisis de partidoEducación Física y DeportivaObservació (Mètode científic)Sport strategyObservation (Scientific method)Observational methodologyTransiciones defensivasRegresión logísticaEstratègia esportivaSpatial interactionlogistic regressiondigestive oral and skin physiologyOffensiveElite footballRegresión loxísticadefensive transitionsDefensive transitionsMatch analysisMatch analysisFutbolSports medicineobservational methodologyTransicións defensivasPsychologyhuman activitiesRC1200-1245
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Fully Bayesian Approach to Image Restoration with an Application in Biogeography

1994

SUMMARY A common method of studying biogeographical ranges is an atlas survey, in which the research area is divided into a square grid and the data consist of the squares where observations occur. Often the observations form only an incomplete map of the true range, and a method is required to decide whether the blank squares indicate true absence or merely a lack of study there. This is essentially an image restoration problem, but it has properties that make the common empirical Bayesian procedures inadequate. Most notably, the observed image is heavily degraded, causing difficulties in the estimation of spatial interaction, and the assessment of reliability of the restoration is emphasi…

Statistics and ProbabilitySquare tilingAtlas (topology)Spatial interactionBayesian probabilityCommon methodcomputer.software_genreBlankGeographyData miningStatistics Probability and UncertaintySpatial analysiscomputerImage restorationApplied Statistics
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Simulating and assessing prospective scenarios

2008

The first part of the paper is centered on the phenomena of urban growth, in order to set the rules for a sustainable scenario of urban development. Then we enter the core of the paper that is the comparison of models. For each of the three compared models, we describe its main theoretical characteristics, the chosen parameters, and the obtained results. In section 6, heterogeneity of the produced results is discussed, and we highlight the points of interest and the lacks of the three models. Here we show that results we obtained feed debates about urban growth management. Finally, concluding remarks at the end of the paper address the general topic of the evaluation of the quality of simul…

sustainable developmenturban sprawlfractalscellular automata[SHS.GEO] Humanities and Social Sciences/Geographyspatial interaction models
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Bacheliers, étudiants et jeunes diplômés : quels systèmes migratoires régionaux ?

2006

Since French Society enters the so-called “Economy of knowledge”, migrations of young people, especially these concerning higher education graduates, are of most interests. Despite the fact that it could help to understand relations between University and work market and ways regions can evolve, the study of migrations of young people was not yet done. A set of results highlights first the main role of French capital region. It shows also main similarities and differencies of migratories' behavior.

modèles d'interaction spatialedisparités régionaleshigher educationmigrations[SHS.GEO] Humanities and Social Sciences/Geographyformation supérieuremarché de l'emploiwork marketregional inequalitiesspatial interaction models
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