Éditeur(s) : HAL CCSD
Résumé : Xth world conference SEA 2016, Rome, 13-15 juin 2016
https://hal-agroparistech.archives-ouvertes.fr/hal-01504655

hal-01504655
https://hal-agroparistech.archives-ouvertes.fr/hal-01504655

Éditeur(s) : HAL CCSD
Résumé : For a decade, distance-based methods have been widely employed and constantly improved in the field of spatial economics. These methods are a very useful tool for accurately evaluating the spatial distribution of plants or retail stores, for example (Duranton and Overman, 2008). In this paper, we introduce a new distance-based statistical measure for evaluating the spatial concentration of economic activities. To our knowledge, the m function is the first relative density function to be proposed in the economics literature. This tool supplements the typology of distance-based methods recently drawn up by Marcon and Puech (2012). By considering several theoretical and empirical examples, we show the advantages and the limits of the m function for detecting spatial structures in economics.
https://hal.archives-ouvertes.fr/hal-01082178

hal-01082178
https://hal.archives-ouvertes.fr/hal-01082178
https://hal.archives-ouvertes.fr/hal-01082178v3/document
https://hal.archives-ouvertes.fr/hal-01082178/file/LANG-%20MARCON-PUECH%20-%20m%20-%20HAL%2001082178v3.pdf

Éditeur(s) : HAL CCSD
Résumé : Over the last decade, distance-based methods have been introduced and then improved in the field of spatial economics to gauge the geographic concentration of activities. There is a growing literature on this theme including new tools, discussions on their specific properties and various applications. However, there is currently no typology of distance-based methods. This paper fills that gap. The proposed classification helps understand all the properties of distance-based methods and proves that they are variations on the same framework.
https://halshs.archives-ouvertes.fr/halshs-00679993

halshs-00679993
https://halshs.archives-ouvertes.fr/halshs-00679993
https://halshs.archives-ouvertes.fr/halshs-00679993v6/document
https://halshs.archives-ouvertes.fr/halshs-00679993/file/MARCON-PUECH-Hal%2000679993v6.pdf

Éditeur(s) : HAL CCSD Hindawi Publishing Corporation
Résumé : International audience
We generalize Ripley's K function to get a new function, M, to characterize the spatial structure of a point pattern relatively to another one. We show that this new approach is pertinent in ecology when space is not homogenous and the size of objects matters. We present how to use the function and test the data against the null hypothesis of independence between points. In a tropical tree data set we detect intraspecific aggregation and interspecific competition.
ISSN: 1687-9708

hal-01502623
https://hal-agroparistech.archives-ouvertes.fr/hal-01502623
DOI : 10.1155/2012/619281

Éditeur(s) : HAL CCSD
Résumé : Over the last decade, distance-based methods have been introduced and then improved in the field of spatial economics to gauge the geographic concentration of activities. There is a growing literature on this theme including new tools, discussions on their specific properties and various applications. However, there is currently no typology of distance-based methods. This paper fills that gap. The proposed classification helps understand all the properties of distance-based methods and proves that they are variations on the same framework.
https://halshs.archives-ouvertes.fr/halshs-00679993

halshs-00679993
https://halshs.archives-ouvertes.fr/halshs-00679993
https://halshs.archives-ouvertes.fr/halshs-00679993v5/document
https://halshs.archives-ouvertes.fr/halshs-00679993/file/MARCON-PUECH-Hal%2000679993v5.pdf

Éditeur(s) : HAL CCSD Elsevier
Résumé : Over the last decades distance-based methods have been introduced and then improved in the field of spatial economics to gauge the geographic concentration of activities. There is a growing literature on this theme including new tools, discussions on their specific properties and various applications. However, there is currently no typology of distance-based methods. This paper fills that gap. The proposed classification helps understand all the properties of distance-based methods and proves that they are variations on the same framework.
ISSN: 0166-0462

hal-01606265
https://hal.archives-ouvertes.fr/hal-01606265
DOI : 10.1016/j.regsciurbeco.2016.10.004
PRODINRA : 407314

Éditeur(s) : HAL CCSD
Résumé : JEL : C40 ; C60 ; R12 ; L60
This study introduces two new measures of spatial concentration. The proposed M functions constitute an extension to Ripley's functions (Ripley, 1976, 1977). They allow the evaluation of the relative geographic concentration and co-location of industries in a non-homogeneous spatial framework. Some rigorous comparisons with similar recently developed tools prove the relevance of the M functions in the field of spatial economics.
https://halshs.archives-ouvertes.fr/halshs-00372617

halshs-00372617
https://halshs.archives-ouvertes.fr/halshs-00372617
https://halshs.archives-ouvertes.fr/halshs-00372617/document
https://halshs.archives-ouvertes.fr/halshs-00372617/file/HAL_Marcon_Puech_-_MeasuresOfTheGeographicConcentrationOfIndustriesImprovingDistanceBasedMethods.pdf

Éditeur(s) : HAL CCSD
Résumé : For a decade, distance-based methods have been largely employed and improved in the field of spatial economics. Such tools are very powerful to evaluate accurately the spatial distribution of plants or retail stores for example (Duranton and Overman, 2008; Jensen and Michel, 2011). In the present paper, we introduce a new statistic measure based on distances to evaluate the spatial concentration of economic activities. As far as we know, the m function is the first relative density function proposed in the economic literature. This tool completes the typology of distance-based methods recently drawn up by Marcon and Puech (2014). By working on several theoretical and empirical examples, we prove the advantages and the limits of the m function to gauge the spatial structures in spatial economics.
https://hal.archives-ouvertes.fr/hal-01082178

hal-01082178
https://hal.archives-ouvertes.fr/hal-01082178
https://hal.archives-ouvertes.fr/hal-01082178/document

Éditeur(s) : HAL CCSD
Résumé : Over the last decade, distance-based methods have been introduced and then improved in the field of spatial economics to gauge the geographic concentration of activities. There is a growing literature on this theme including new tools, discussions on their specific properties and various applications. However, there is currently no typology of distance-based methods. This paper fills that gap. The proposed classification helps understand all the properties of distance-based methods and proves that they are variations on the same framework.
https://halshs.archives-ouvertes.fr/halshs-00679993

halshs-00679993
https://halshs.archives-ouvertes.fr/halshs-00679993
https://halshs.archives-ouvertes.fr/halshs-00679993v3/document

Éditeur(s) : HAL CCSD Armand Colin
Résumé : International audience
Notre contribution méthodologique vise à identifier les limites de la mesure dans le champ de l’économie internationale. En effet, même si aujourd’hui les analyses empiriques reposent de plus en plus sur des données très désagrégées, force est de constater que des problèmes d’ordre méthodologique demeurent et peuvent être source de biais dans les estimations. Ce chapitre en présente trois aspects importants,...
Développements récents en économie et finances internationales

ISBN : 9782200280536
hal-01502634
https://hal-agroparistech.archives-ouvertes.fr/hal-01502634
DOI : 10.3917/arco.silem.2012.01.0013

Éditeur(s) : HAL CCSD INSEE
Résumé : National audience
L'agglomération des activités économiques est indéniable (Krugman, 1991) et chacun peut aisément citer des exemples de quartiers spécialisés au sein des villes ou des clusters d'activités par exemple. L'explication des phénomènes d'agglomération semble être à présent bien appréhendée théoriquement (Fujita et al., 1999 ; Fujita et Thisse, 2002) mais les recherches empiriques ne semblent pas avoir atteint un tel stade de maturité (Rosenthal et Strange, 2004, Ellison et al., 2010 ; Gibbons et al., 2014). Durant la dernière décennie, de nombreuses recherches en économie spatiale ont porté sur les mesures de concentration géographique. Les économistes retenaient traditionnellement des mesures reposant sur un zonage du territoire (comme l'indice de Gini) mais des travaux récents ont montré que discrétiser l'espace pouvait engendrer des biais (Briant et al., 2010). L'utilisation de mesures fondées sur les distances (séparant les entités analysées) et non sur un zonage est aujourd'hui recommandée (Combes et al., 2006). Notre contribution méthodologique montre qu'une attention particulière doit encore être portée à la définition de la concentration spatiale pour évaluer l'agglomération des activités économiques. À partir de la localisation des commerces de détail sur l'aire urbaine de Lyon notamment, nous montrons, en utilisant trois mesures de concentration récemment introduites en économie spatiale (Kd, D et M), que les résultats obtenus ne convergent pas systématiquement. Cette différence dans les estimations provient de la définition de la concentration spatiale retenue qui peut être absolue (présence importante d'activités), topographique (densité élevée d'activités) ou relative (surreprésentation de certaines activités). Nous recommandons alors que le choix de la mesure de concentration soit suffisamment motivé d'un point de vue théorique pour apprécier correctement le phénomène analysé et ainsi apporter une évaluation satisfaisante de la distribution étudiée.
ISSN: 0336-1454

hal-01118488
https://hal-agroparistech.archives-ouvertes.fr/hal-01118488

Éditeur(s) : HAL CCSD University of California, Los Angeles
Résumé : International audience
The dbmss package for R provides an easy-to-use toolbox to characterize the spatial structure of point patterns. Our contribution presents the state of the art of distance-based methods employed in economic geography and which are also used in ecology. Topographic functions such as Ripley’s K, absolute functions such as Duranton and Overman’s Kd and relative functions such as Marcon and Puech’s M are implemented. Their confidence envelopes (including global ones) and tests against counterfactuals are included in the package
ISSN: 1548-7660

hal-01498361
https://hal-agroparistech.archives-ouvertes.fr/hal-01498361
DOI : 10.18637/jss.v067.c03

Éditeur(s) : HAL CCSD Oxford University Press (OUP): Policy F
Résumé : JEL classification: C40, C60, L60, R12
We propose new methods for evaluating the spatial distribution of firms. To assess whether firms are concentrated or dispersed, economists have tradi-tionally used indices that analyse the heterogeneity of a spatial structure at a single geographic level. We introduce distance-based methods, Besag's L function (derived from Ripley's K function) and Diggle and Chetwynd's D function to describe simultaneously spatial distribution at different geographical scales. Our empirical applications consider the distribution of French manufacturing firms in the Paris area and in France generally. For some geographic levels, results show significant concentration or dispersion of firms according to their sector of activity.
ISSN: 1468-2702

halshs-00372646
https://halshs.archives-ouvertes.fr/halshs-00372646

Éditeur(s) : HAL CCSD
Résumé : In spatial statistics, Ripley's K function (Ripley, 1977) is a classical tool to analyse spatial point patterns. Yet, it faces two major limits: it is only pertinent for homogeneous point processes and it does not allow the weighting of points.
We generalize it to get a new function, M, which oversteps these limits and detects spatial structures of inhomogeneous populations of weighted points.
https://halshs.archives-ouvertes.fr/halshs-00372631

halshs-00372631
https://halshs.archives-ouvertes.fr/halshs-00372631
https://halshs.archives-ouvertes.fr/halshs-00372631/document
https://halshs.archives-ouvertes.fr/halshs-00372631/file/HAL_Marcon_Puech_-_GeneralizingRipleysKFunctiontoInhomogeneousPopulations.pdf